input_tasks.jsonl

{"task_id": "21559b", "area": "Operations", "category": "Collect data", "input_text": "Create a list of essential webpages and social media profiles for the provided list of companies to support competitive analysis and digital strategy.\n\nSource List is attached.\n\nDeliverables:\n\nA spreadsheet with the following columns:\n\nCompany Name\nOfficial Website\nLinkedIn Profile URL\nTwitter Profile URL\nIssues\n\nRequirements:\nEvery link must point directly to the intended page or profile, accessible without login or paywalls.\nUse only official company domains and verified social media accounts.\nNote any broken or outdated links in an “Issues” column."}
{"task_id": "84fd7c", "area": "Operations", "category": "Collect Data", "input_text": "I’m working on a custom sliding drawer for a deep cabinet (41\" deep x 27\" wide x 6\" height) and need help finding specific drawer slides that meet a detailed set of requirements.\n\nYour task:\nResearch at least 20 manufacturers of drawer slides and put together a spreadsheet of products that match all of the following criteria:\n\nSide‑mount\nFull extension\nBall bearing\nMinimum length: 40\"\nIncludes a locking mechanism\nCan disconnect/detach completely so the drawer can be removed\nShips to the US\nWeight requirements:\n\nMust support over 100 lbs at 40\" length\nIdeally, also find any models supporting 250+ lbs, especially those with the disconnect feature\nNotes:\n\nThe “disconnect” feature is often hard to find in combination with 40\" length and high weight capacity.\nSpecs may say “disconnect”, “detachable”, “removable”, or similar — if unclear, check reviews or manufacturer details\nIf a product doesn’t meet all criteria, note what’s missing\nSpreadsheet columns:\n\nManufacturer\nProduct link\nSupported weight\nSpecific length\nMeets all criteria (Yes/No)\nIf “No” — note which criteria are missing\nAdditionally:\nInclude a short list of manufacturers you checked that didn’t have any products matching all the criteria.\n\nDeliverable:\nAttach the completed spreadsheet (Excel or CSV) with clear column headers and verified product details."}
{"task_id": "e2e588", "area": "Operations", "category": "Structure Raw Data into Schema", "input_text": "Task Overview\nYour task is to extract structured data from invoices issued to UK clients. The extracted data must include both invoice-level information (details about the document itself, issuer, and totals) and item-level information (details about each product or service listed on the invoice). The goal is to ensure accurate, consistent, and standardized data across all invoices for accounting, tax reporting, and automation purposes. Invoices are attached.\n\nGeneral Guidelines\nExtract all information directly from the invoice — do not infer or calculate beyond the data presented, except where a rule explicitly requires it (e.g., distributing discounts).\n\nUse the exact text as it appears on the invoice unless specified otherwise (e.g., date format or currency code).\n\nTranslate units or terms into standard English where needed (e.g., \"pieces\" → \"pcs\").\n\nMaintain data consistency:\n\nDates → YYYY-MM-DD\n\nCurrency → ISO 4217 code (e.g., GBP)\n\nNumbers → use decimal point (e.g., 1234.56)\n\nIf a field is missing or not applicable, mark it as null (not \"N/A\" or \"-\").\n\nWhen an invoice-level discount applies to all items, it must be proportionally divided among all items (see Section 5).\n\nAll invoices are for UK clients — apply UK invoice conventions (e.g., standard VAT rate of 20%, reduced rate of 5%, or zero rate of 0%).\n\nInvoice-Level Information\nYou must extract the following data for every invoice:\n\nInvoice Number – The unique identifier or number assigned to the invoice by the issuer.\nExample: INV-2025-0034\n\nIssue Date – The date when the invoice was created. Use the format YYYY-MM-DD.\nExample: 2025-03-15\n\nDue Date – The final date by which the payment must be made. Use the format YYYY-MM-DD.\nExample: 2025-04-14\n\nCurrency – The currency of the invoice, written as an ISO code.\nExample: GBP\n\nCustomer Name – The full legal name of the buyer or recipient of the goods or services.\nExample: Thompson Trading Ltd\n\nIssuer Name – The legal name of the company or individual that issued the invoice.\nExample: TechParts UK Limited\n\nIssuer Country – The country where the issuer is registered, written in English.\nExample: United Kingdom\n\nIssuer VAT Number – The VAT identification number of the issuer.\nExample: GB123456789\n\nIssuer IBAN – The bank account IBAN number provided for payment.\nExample: GB29 NWBK 6016 1331 9268 19\n\nTotal Amount – The total amount payable on the invoice, including taxes.\nExample: £1,200.00\n\nTotal Tax – The total amount of VAT applied to the invoice.\nExample: £200.00\n\nReverse Charge – Indicates whether the reverse charge mechanism applies. Possible values are Yes or No.\nExample: No\n\nItem-Level Information\nFor each item listed on the invoice, extract the following details. Each item should be recorded as a separate entry.\n\nName – The name or title of the product or service.\nExample: Laptop Model X100\n\nDescription – A short text describing the product or service in more detail, if provided.\nExample: 15-inch display, 16GB RAM, 512GB SSD\n\nQuantity – The number of units sold or provided.\nExample: 2\n\nQuantity Unit – The measurement unit used, translated to English if necessary (e.g., pcs, hours, kg).\nExample: pcs\n\nUnit Price – The price per unit before tax and before discount.\nExample: £500.00\n\nTax Rate – The VAT rate applied to this item, expressed as a percentage.\nExample: 20%\n\nTax Amount – The VAT amount for this specific item.\nExample: £200.00\n\nDiscount Rate – The discount rate applied to this item, if any, expressed as a percentage.\nExample: 10%\n\nDiscount Amount – The discount value in currency for this item.\nExample: £50.00\n\nItem Price (Net) – The total price of the item after discount but before tax.\nExample: £900.00\n\nInvoice-Level Discount Distribution\nIf the invoice includes a single discount that applies to the whole invoice (e.g., \"10% discount on total\"), you must allocate this discount proportionally across all items. The discount should be distributed according to each item's net value before discount.\n\nFor example:\nIf Item A has a net value of £400 and Item B has a net value of £600, and the total invoice discount is 10% (or £100 total), then:\n\nItem A gets a £40 discount (40% of £100)\n\nItem B gets a £60 discount (60% of £100)\n\nEach item's \"Discount Amount\" field should include its proportional share of the total discount.\n\nExample of Extracted Information\nInvoice-Level Data\n\nInvoice Number: INV-2025-0034\n\nIssue Date: 2025-03-15\n\nDue Date: 2025-04-14\n\nCurrency: GBP\n\nCustomer Name: Thompson Trading Ltd\n\nIssuer Name: TechParts UK Limited\n\nIssuer Country: United Kingdom\n\nIssuer VAT Number: GB123456789\n\nIssuer IBAN: GB29 NWBK 6016 1331 9268 19\n\nTotal Amount: £1,200.00\n\nTotal Tax: £200.00\n\nReverse Charge: No\n\nItem-Level Data\n\nItem 1:\n\nName: Laptop Model X100\n\nDescription: 15-inch display, 16GB RAM, 512GB SSD\n\nQuantity: 2\n\nQuantity Unit: pcs\n\nUnit Price: £500.00\n\nTax Rate: 20%\n\nTax Amount: £200.00\n\nDiscount Rate: 0%\n\nDiscount Amount: £0.00\n\nItem Price (Net): £1,000.00"}
{"task_id": "9aaace", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "I need help identifying staffing or experiential marketing agencies in Tampa, St. Petersburg, and Miami (including nearby areas) that can provide trained brand promoters, demo staff, retail ambassadors, or product samplers for in‑store activations and retail marketing campaigns.\n\nFor each agency, please gather:\n\n- Agency name\n- Website\n- City or coverage area (Tampa, St. Pete, Miami, or region‑wide)\n- Contact details: phone number + generic business email (no personal addresses)\n- Services offered (e.g., in‑store sampling, demo staff, brand ambassadors)\n- Industries served (e.g., FMCG, beverages, cosmetics, tobacco)\n- Languages spoken by staff (English, Spanish, bilingual, etc.)\n- Approximate cost or pricing model (if listed or implied)\n- Notable clients or campaigns (publicly referenced)\n- Google and Trustpilot review summaries\n\nRequirements:\nStrong online research and vetting skills\nFamiliarity with event staffing or retail marketing\nEnglish fluency; Spanish a plus\nStructured, detail‑oriented reporting\n\nDeliverable:\nAttach a spreadsheet (Excel or CSV) with at least 10–15 qualified agencies, formatted with clear columns for all required fields."}
{"task_id": "111b07", "area": "Analyst", "category": "Generate Performance Dashboards & Summaries", "input_text": "Create a Professional PowerPoint Presentation (4-5 slides) based on the provided report\nhttps://assets.publishing.service.gov.uk/media/5a7b7c79ed915d1a79023974/1_Summary_Report.pdf \n\nDevelop a concise, visually appealing, and professional PowerPoint presentation that effectively communicates key findings from the referenced report on domestic energy use.\n\nRequirements:\n\nInclude the main insights from the report with clear and structured presentation across 4-5 slides.\nUse the available graph on mean household temperatures and the table detailing heating hours and energy consumption as primary visual data. Ensure the data is easy to interpret for the audience.\nUse appropriate chart formatting, consistent colors, and labels.\nEnsure a clean, professional slide layout and formatting that aligns with business presentation standards.\nUse succinct bullet points to highlight key findings and implications from the report.\nSummarize key takeaways from the data and survey findings in concise statements."}
{"task_id": "ecf5f4", "area": "Marketing", "category": "Market & Competitive Research Reports", "input_text": "I need quick research on the Kenyan utility sector (water, electricity), focusing on the metering and management side.\nI’m mainly interested in finding out who the key companies are in this market, plus any resellers, and the tariffs they offer.\n\nAlongside that, please grab the basic business contact details for each company you find — like their website, general email, and phone number — just so it’s easy for me to reach out later if needed.\n\nLinks to their websites and to any official tariff pages or documents would be great."}
{"task_id": "2126e7", "area": "Analyst", "category": "Run Exploratory Data Analysis", "input_text": "Analyze trending topics and user engagement patterns across major social platforms by collecting hashtag performance and post engagement metrics.\n\nData Sources: Reddit API, Twitter/X API, GitHub trending repositories API\nDelivery Requirements:\n\nFormat: CSV/Excel\n\nTime Coverage: Last 12 months (September 2024 – September 2025)\n\nFrequency: Weekly aggregates\n\nRequired Columns: Platform, Week Starting Date (YYYY-MM-DD), Top Trending Topic, Engagement Score, Post Count, User Interactions"}
{"task_id": "986488", "area": "Marketing", "category": "Market & Competitive Research Reports", "input_text": "I’m launching a new SaaS for project management and need a thorough competitor review to help shape the go-to-market approach. The final materials should be self-explanatory, well-organized, and ready for immediate use without follow-up.\n\nCompetitors to Analyze:\n\n- Monday.com\n- Asana\n- ClickUp\n- Notion\n- Smartsheet\n- Deliverables\n\nFeatures & Pricing:\nBuild a comparison table outlining key and premium features for each competitor.\nInclude a detailed summary of pricing tiers for monthly, quarterly, and annual billing cycles.\nIdentify any free plan options and clearly specify their limitations.\n\nUser Feedback Insights:\nSummarize overall user sentiment for each product based on feedback from G2, Capterra, and Reddit over the past three months.\nInclude 5–10 recent quotes per competitor showing both strengths and weaknesses from the customer’s perspective.\n\nReference List:\nAttach a single file containing all source links, including pricing pages, feature breakdowns, review sites, and any articles or reports used for the analysis.\n\nExpected Result:\nA complete set of deliverables – tables, summaries, and source references – structured in a way that the team can directly integrate them into strategy planning without requiring additional explanations."}
{"task_id": "b1313e", "area": "Marketing", "category": "Proofread, analyse and correct content", "input_text": "I ordered one of the Product Managers I know to do Reddit research for my company. She collected all the pain points and created two documents attached here. One document is the main report with all the important insights and conclusions. The second one is a list of materials she collected. She claims that all the materials presented lead to the conclusions she found. Can you please analyse both documents and let me know if the conclusions are right and valid? Also, if you find some other patterns that are not included in the report, please share them with me."}
{"task_id": "a952d4", "area": "Analyst", "category": "Run Exploratory Data Analysis", "input_text": "Objective:\nCollect and analyze daily COVID-19 statistics for 15 countries over the last 3 years, including cases, deaths, vaccinations, and government response stringency index.\n\nData Sources: WHO API, Our World in Data COVID-19 dataset\nDelivery Requirements:\n\nFormat: CSV/Excel file\n\nTime Coverage: January 2022 – December 2024\n\nFrequency: Daily data\n\nRequired Columns: Country, Date (YYYY-MM-DD), New Cases, New Deaths, Total Vaccinations, Stringency Index"}
{"task_id": "76a339", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "I need a list of potential clients in the following Texas service areas—Woodlands, Spring, Katy, and Kingwood (for searching use zip codes provided) — who are interested in installing or repairing roofs on residential homes or business buildings\n\nPlease identify and list local agencies, property management companies, or real-estate service providers in each ZIP code area who regularly handle roofing projects or hail/wind-damage claims. For each agency, include:\n\nCompany/ agent name\nCompany email\nService area ZIP code(s) covered\nCompany contact phone number\nAgency website or general contact page (no individual names or direct personal contacts) \n\nProvide the result in Google Sheet"}
{"task_id": "207460", "area": "Marketing", "category": "Proofread, analyse and correct content", "input_text": "I am working to cover several topics on my blog related to marketing and promotion keywords. Please review my blog and provide the title of the most recent article published. Additionally, give feedback on what improvements or changes you would recommend for that article to help it perform better.\n\nThe ultimate goal is for the article—and more broadly my blog—to achieve the #1 ranking for keywords related to my website’s niche.\n\nHere is the blog link for your reference:\nhttps://bloggingwizard.com/blog/"}
{"task_id": "4d8e1c", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "I need help researching potential tenants for a 13,000 sq ft former auto center in St. Louis, MO. The property offers high retail visibility and includes about 11,000 sq ft of warehouse space with limited parking (around 15 spaces in front and 5–10 in the rear).\n\nYour task:\nIdentify area businesses that could benefit from this space due to reasons such as expansion, seeking better lease rates, or wanting improved location/visibility.\nFocus on:\nAutomotive companies\nTrades and service businesses (plumbing, HVAC, electrical, etc.)\nGather only company‑level information (no personal data).\n\nFor each business, collect:\nCompany name\nAddress\nPhone number\nWebsite\nNumber of locations (if available)\n\nTarget profile:\nBusinesses needing larger spaces\nCompanies looking to establish a local presence\nBusinesses that could benefit from retail visibility\n\nDeliverable:\nAttach a spreadsheet (Excel or CSV) with 50–100 companies, formatted with the fields above, and verified for accuracy."}
{"task_id": "6afcf9", "area": "Operations", "category": "Validate Contact Info", "input_text": "You are required to verify the addresses and phone numbers of 261 companies listed in the provided Spreadsheet.\n\nInstructions:\n\nCheck the accuracy and validity of each company’s address and phone number.\n\nUse reliable sources such as official websites, business directories, or verified databases.\n\nFor each company, update the spreadsheet with a comment in a dedicated column named \"Comment\".\n\nIf the data is verified successfully, write: \"Data verified.\"\n\nIf verification is not possible, leave a note specifying the reason and indicate which specific data (address and/or phone number) could not be verified.\n\nDeliverable:\nA Google Sheet with all 261 companies, including the new \"Comment\" column filled appropriately for each entry."}
{"task_id": "b92af1", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "I’m looking for help with a data entry project to collect and organize information about gym and fitness companies across the USA. The goal is to create a clean, accurate, and well‑structured database for marketing, outreach, or business development.\n\nFor each business, gather:\n- Company name\n- Address\n- Phone number\n- Website\n- Social media links (Facebook, Instagram, etc.)\n- Generic business email (no personal addresses)\n\nRequirements:\n100 gym or fitness businesses from across the USA\n\nAll details must be accurate, up to date, and verified from public sources\nNo duplicates\n\nDeliverable:\nAttach a spreadsheet file (Excel or CSV) with all entries formatted in clear columns for each data field."}
{"task_id": "2ee785", "area": "Marketing", "category": "Create Content", "input_text": "Please craft a compelling and authentic story (small article) about our brand. The goal is to create a lasting and memorable impression that deeply connects with our target audience and resonates emotionally with our customers.\n\nThe deliverable should include:\n\nA clear articulation of the brand’s mission, values.\n\nA narrative that highlights the origin, purpose, and passion behind the brand, showcasing what sets it apart in the market.\n\nEmotional storytelling elements that make the brand relatable and trustworthy, fostering a strong emotional bond with customers.\n\nLanguage that is engaging, warm, and sincere.\n\nA well-structured story flow with a clear beginning, middle, and end, guiding the audience through the brand’s journey and vision.\n\n\nPlease refer to the following document for detailed background information about our brand:"}
{"task_id": "a5c824", "area": "Marketing", "category": "Market & Competitive Research Reports", "input_text": "Please prepare a review of the listed fashion boutiques in Beirut, Lebanon. For each store, visit (or research) and deliver:\n\nA brief description of the shop’s atmosphere and style\nKey product categories and price range\nCustomer service experience (in-store or online)\nAny standout pieces or unique features\nPhotos or links illustrating the store layout or bestsellers\n\nUse the attached spreadsheet as your itinerary.\nThe result please provide in Goggle Sheet table"}
{"task_id": "e82353", "area": "Marketing", "category": "Market & Competitive Research Reports", "input_text": "I need a comprehensive list of verified shapewear manufacturers who produce for major brands like Skims, Spanx, and other established shapewear companies. Please provide:\n\nRequired Information for Each Manufacturer:\n\nCompany name and full contact details (address, phone, email, website)\nManufacturing location (country/city)\nMinimum order quantities (MOQs) and pricing structure\nProduct specializations (bodysuits, compression garments, seamless technology, etc.)\nNotable clients or brands they manufacture for (if available)\nCertifications and quality standards they maintain\nSample ordering process and costs\nProduction capacity and lead times\n\nPreferred Manufacturers:\n\nCompanies that currently produce for established shapewear brands\nFactories with advanced seamless technology capabilities\nManufacturers offering ODM/OEM services for private label production\nSuppliers with experience in nylon/spandex blend fabrics\nCompanies with flexible MOQs suitable for new brand launches\n\nGeographic Preferences:\n\nTurkey (Istanbul region)\nChina (Guangdong province)\nUSA-based manufacturers\nAny other regions with proven shapewear manufacturing expertise\n\nGoal: Establish direct manufacturer relationships to launch a new shapewear brand with quality comparable to existing market leaders but at competitive pricing. The result please provide in Goggle Sheet table\n."}
{"task_id": "8324f4", "area": "Analyst", "category": "Generate Performance Dashboards & Summaries", "input_text": "Build an interactive dashboard in Excel (or Power BI/Tableau) that allows the user to select a date and view two sets of analytics:\n\nAttendance Status Breakdown\n\nDate Filter: A date picker to choose a specific day.\nTable: For the selected date, show each department’s count and percentage of employees in each attendance status (Present, Absent, Late, Remote).\nChart: A visual (e.g., stacked bar or 100% stacked column) displaying each department’s distribution of attendance statuses as percentages.\n\nTotal Hours Worked by Department\nDate Filter: The same date picker.\nTable: For the selected date, list each department and the total hours worked by all employees in that department.\nChart: A bar or column chart showing each department’s total hours worked on that day. \n\nEmployee ID\nDepartment\nDate\nAttendance Status\nHours Worked\n\nKey Features:\n\nSingle date selector drives both tables and both charts.\nAutomatic calculation of percentages for attendance statuses.\nClear, labeled visuals for quick interpretation by management.\nDynamic updates when the date is changed."}
{"task_id": "45a739", "area": "Marketing", "category": "Create Content", "input_text": "I want to create a relatable and authentic personal story about a woman aged approximately 50 to 64 who experienced noticeable hair thinning and increased shedding as a result of menopause and hormonal changes—an issue many women face but seldom openly discuss.\n\nThe story should capture her journey: from struggling with hair loss to eventually discovering a product that helped reduce shedding and gradually restore fuller, healthier hair.\n\nKey requirements:\n\nThe narrative must feel personal, genuine, and emotionally authentic, enabling readers to deeply connect with the experience.\n\nIt should convey real emotions, challenges, and hopes so the story appears believable and based on lived experience rather than being generic or overly polished.\n\nThe writing style should be warm, sincere, and intimate to foster trust and empathy.\n\nI plan to incorporate real, unedited photos of the woman at important moments in the story to enhance credibility and impact, so the text should align naturally with these future visual elements.\n\nI already have a draft generated by AI, but it lacks a true authentic voice and emotional depth; the new version must improve on this significantly.\n\nPlease focus on crafting a story that goes beyond surface-level narration to evoke empathy and trust, reflecting the nuanced realities of women dealing with hair loss during menopause. Please present the final text on a separate tab (or page) within the document."}
{"task_id": "69f725", "area": "Analyst", "category": "Generate Performance Dashboards & Summaries", "input_text": "Please convert TAM analysis attached in Excel as follows:\n\nImport the provided data into a new Excel workbook.\n\nOrganize the data into clearly labeled tables corresponding to each TAM calculation input.\n\nApply consistent formatting: use headings, proper number formats, and cell borders for readability.\n\nInclude summary sections or charts that highlight the overall TAM results.\n\nEnsure the workbook is fully editable and ready for presentation."}
{"task_id": "2c3c2c", "area": "Operations", "category": "Structure Raw Data into Schema", "input_text": "I have a Excel for tracking expenses attached, which should automatically convert foreign currency amounts to euros using FX rates. Currently, the FX rate data column is broken—every value is set to “1” regardless of the actual currency.\n\nWhat needs to be done:\n\nUpdate the “FX rate” column with accurate, up-to-date foreign exchange rates for all currencies listed in the sheet, as of the date of completion using the link https://www.ecb.europa.eu/stats/policy_and_exchange_rates/euro_reference_exchange_rates/html/index.en.html \n\nFor each expense line, ensure the correct FX rate is applied based on the original currency.\n\nCreate the formula so that the “Payment in EUR” column properly recalculates each expense into euros using the actual FX rate for that transaction.\n\nRequirements:\n\nExperience with Google Sheets formulas and data troubleshooting.\n\nAttention to accuracy when applying FX rates."}
{"task_id": "338434", "area": "Analyst", "category": "Generate Performance Dashboards & Summaries", "input_text": "Create an interactive, high-level dashboard in Excel (or Power BI/Tableau) that connects to the provided sales dataset and delivers the following functionality:\n\nDate Filter\n– A date picker (or slider) to select any date range.\n\nKey Performance Indicators\n– Total Units Sold\n– Total Revenue\n– Percentage of Orders with Promotions Applied\n– Breakdown of Payment Methods\n\nSales by Category\n– A dynamic bar or column chart showing Total Revenue and Units Sold for each Product Category.\n– Toggle between Revenue and Units Sold.\n\nRegional Performance\n– A map or treemap visualizing Total Revenue by Region.\n\nCustomer Segmentation\n– A stacked bar chart showing Units Sold by Customer Age Group and Customer Type.\n\nTime-Series Trend\n– A line chart of Daily Total Revenue (or Moving Average) across the selected date range.\n\nPromotion Impact\n– A pie chart or donut chart displaying the share of Total Revenue from Promotional vs. Non-Promotional sales.\n\nInteractive Filters\n– Slicers or dropdowns for Region, Customer Type, Product Category, and Payment Method that update all visuals simultaneously.\n\nFormatting & Layout\n– Clean, consistent formatting (titles, labels, color palette).\n– Clearly labeled axes, legends, and data labels where appropriate.\n– Responsive layout that resizes charts when filters change."}
{"task_id": "b09175", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "I want to generate 20-50 leads for Hidalgo County, Texas, focusing on shared living homes for independent individuals. I have Google Sheets with initial keywords related to this niche, and you should suggest additional (as many as you can) relevant keywords to expand the list attached.\n\nPlease organize the Google Sheets document with two separate tabs:\n\nKeywords Tab: List all initial and suggested keywords related to lead generation for this market.\n\nLeads Tab: For each lead, fill in the required information with the following columns in this exact order:\n\nName of Organization\nWebsite\nContact Name and Title\nEmail\nPhone\nAddress\nNotes (if any)\n\nMake sure the lead data is accurate and complete, and add useful notes if applicable."}
{"task_id": "e4f2ea", "area": "Analyst", "category": "Market & Competitive Research Reports", "input_text": "I’m looking for someone to research the delivery coverage of four different German online grocery stores. The goal is to identify all the postal codes (PLZ) in Germany that each store serves.\n\nWhat needs to be done:\n\nFor each of the listed supermarkets, determine all postal codes where they offer delivery.\nCheck all German postal codes to ensure nationwide coverage in the research.\n\nProvide a maintainable and reusable script (Python or similar) that:\nCan be run regularly\nAllows updating or expanding the list of supermarkets in the future\nOutputs the results in a structured format (CSV or JSON)\n\nStores to research:\nFlink: https://www.goflink.com/shop/de-DE/ \nKnuspr: https://www.knuspr.de/ \nPicNic: https://picnic.app/de/alle-orte/ \nREWE: https://shop.rewe.de/ \n\nDeliverable:\nComplete dataset with postal codes served by each store\nThe working script with clear instructions for running and updating it\nOutput files in CSV or JSON"}
{"task_id": "bbfba8", "area": "Marketing", "category": "Proofread, analyse and correct content", "input_text": "I have a research article that needs to be condensed into a concise mini review paper. The goal is to summarize the main findings and insights of the original article into a focused, accessible review suitable for presentation.\n\nThe mini review should:\n\nBe approximately 1 to 2 pages in length.\n\nProvide an introduction that sets the context, explains the importance of the topic, and states the purpose of the mini review.\n\nSummarize the essential findings and background information from the original article.\n\nThe mini review should focus on clarity and synthesis rather than original research, providing readers with an up-to-date understanding of the topic with a critical overview of key points.\nPlease present the final mini review on a separate tab (or page) within the document."}
{"task_id": "f43563", "area": "Marketing", "category": "Create Content", "input_text": "I would like to transform my existing digital marketing agency into an AI agency. Please provide a detailed, step-by-step write-up outlining how to accomplish this transformation effectively.\n\nPlease reference the linked document for more detailed background and current inputs to incorporate into the write-up.\n\nDeliverables\nFormat:\nA detailed Google Document with a step-by-step transformation roadmap, tech/software suggestions, training pathway, and a marketing repositioning plan.\nDepth:\nPractical and actionable, not theoretical — should include tools, example workflows, sample pricing, and success stories."}
{"task_id": "080fe4", "area": "Marketing", "category": "Create Content", "input_text": "I am looking for a writer to create a report section of approximately 2–3 pages that focuses on the role of artificial intelligence in shaping and enhancing transactional customer loyalty. The content should not only describe the current applications of AI in this area but also provide a summary of what these developments mean for businesses and how AI can be leveraged in the future to improve customer engagement and retention.\n\nI already have an outline and some statistical data points available, which is attached.\nThe final deliverable should:\n\nBe 2–3 pages in length\n\nClearly explain the role of AI in transactional loyalty programs\n\nInclude the provided statistics and insights in a structured, meaningful way\n\nConclude with a forward-looking perspective on how businesses can use AI to drive stronger customer engagement\n\nAdhere to brand and style guidelines"}
{"task_id": "06f0a1", "area": "Marketing", "category": "Create Content", "input_text": "I have a list of key bullet points and some draft paragraphs for an essay. Your task is to develop these bullet points and paragraphs into a coherent, polished, and engaging essay that flows naturally.\nPlease create the complete essay on a separate tab in the document, keeping the original bullet points and draft content intact on the initial tab.\n\nDocument is attached.\n\nRequirements:\n\nExpand the bullet points into full paragraphs with smooth transitions.\nMaintain clarity and coherence throughout the essay.\nEnhance language style and vocabulary to make the essay compelling and readable.\nPreserve the original ideas and intent while improving overall quality."}
{"task_id": "c74d4e", "area": "Marketing", "category": "Create Content", "input_text": "I’m looking for a skilled writer to create a 2,000‑word article on the impact of artificial intelligence on small businesses. The goal is to make it SEO‑friendly and structure it with exactly three main headers for clear readability.\n\nDetails:\n\nLength: 2,000 words\nShould include relevant keywords for SEO (natural placement, not keyword stuffing)\nExactly 3 section headings (H2)\nTone: professional yet approachable, suitable for a small business audience\n\nDeliverable:\nAttach the final article as a Word or PDF file, formatted and ready for publishing."}
{"task_id": "395dd9", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "We’re developing a 44,200 SF warehouse in Southwest Las Vegas (Post Rd & Santa Margarita St), scheduled for completion in Q1 2026, and need help building a list of potential industrial tenants who could be a good fit for the space.\n\nYour task:\nSearch for companies located within about 15 miles of zip code 89118\n\nFocus on industries such as:\nLogistics\nLight manufacturing\nDistribution\nHVAC/plumbing suppliers\nLast‑mile delivery\n\nCollect only company‑level information — no personal data\n\nFor each company, gather:\n- Business name\n- Industry\n- Address\n- Phone number\n- Generic business email (no personal addresses)\n- Website\n- Notes (e.g., expanding, may be leasing soon, other relevant info)\n\nDeliverable:\nAttach a spreadsheet (Excel or CSV) with 50–100 companies, following the fields above. Ensure all details are accurate, current, and verified from public sources"}
{"task_id": "a9a789", "area": "Marketing", "category": "Create Content", "input_text": "A writing project requires creating a one-page, actionable guide titled:\n\"Mental Reset Routine for Weekend Runners\"\n\nContent Requirements:\n- Present a 3-step routine to help weekend runners reset their mindset and improve focus (e.g., breathwork, visualization, journaling)\n- For each step, include 1–2 sentences describing key benefits\n- Add 3 bonus mindset tips in concise bullet-point format\n- Write in an encouraging, practical tone\n\nTarget audience: amateur runners aged 25–45\n\nDeliverable:\nAttach a one-page document (PDF or Word) containing:\n\n- Title\n- Three steps with descriptions and benefits\n- Three bonus tips\n- A short closing note"}
{"task_id": "c043ce", "area": "Operations", "category": "Structure Raw Data into Schema", "input_text": "I need help customizing an existing Google Sheet that we use for managing customer data, by adding functionality through Google Apps Script.\n\nWhat I want built:\n\n1. Filter by Email\nWhen a user opens the sheet or runs the script, it should automatically filter rows so they only see entries where Column C matches their own Google account email address.\n\n2. Independent Views per Customer\n- Each user should have their own filter applied automatically every time they open the sheet.\n- The condition should always be the same: filter data by the user’s email address in Column C.\n- Customer A’s view should never affect what Customer B sees.\n- The sheet owner (admin) must be able to see the full dataset at any time.\n\nTechnical Notes:\n\n- Implement via Google Apps Script bound to the sheet.\n- Filtering applied with an onOpen() trigger (auto-run when the sheet is opened).\n- “Independent views” should be handled within Apps Script, not using the shared Google Sheets filter UI, to prevent overlap between users.\n- Must work with multiple simultaneous users in the same sheet without conflicts.\n\nDeliverables:\n- Working bound Google Apps Script file with clear, commented code.\n- Automatic filtering logic applied on sheet open for each user.\n- Full instructions for admin on how to bypass filters or view all data."}
{"task_id": "9a9cca", "area": "Operations", "category": "Build Multi-step Automation Workflows", "input_text": "I need help developing a PowerShell monitoring script that can be integrated with a Remote Monitoring and Management (RMM) tool to check the status of OneDrive on Windows devices. The RMM tool will run the script at regular intervals, and it should produce clear output for automated actions.\n\nScript Requirements:\n\nThe script must detect and report the following states:\nOneDrive process not running (onedrive.exe)\nSync stopped\nSync paused\nSync errors detected\nNot signed in\nTrouble signing in\n\nOutput:\nSuccess — if no problems are detected\nFailure — if any issue is present, include specific status indicators like:\nNot Running, Sync Stopped, Sync Paused, Sync Errors Detected, Not Signed In, Trouble Signing In\n\nTarget Environment:\nWindows 10 and Windows 11 devices\nOneDrive desktop application installed\nTechnical Notes / Clarifications:\n\nScript should use standard PowerShell cmdlets and/or Windows API/WMI calls where possible, avoiding third‑party dependencies\nDetection logic can rely on built‑in OneDrive logging/events or registry keys if applicable\nMust be lightweight and optimized for repeated automated execution\nOutput should be in plain text (stdout) so the RMM tool can parse it easily\nIf possible, include exit codes (0 for success, 1 for failure) to simplify automated reactions in the RMM system\n\nDeliverable:\nAttach the .ps1 script file along with brief documentation explaining:\n- How the script works\n- How to deploy it within an RMM tool\n- Any configurable parameters, such as polling interval or custom paths to OneDrive executable"}
{"task_id": "3a349d", "area": "Operations", "category": "Retrieve PDF / Document / Report Content", "input_text": "I have a list of 20 ovens, each identified by the manufacturer’s name and product code. The list is attached.\n\nYour task is to search for the user manual for each oven model and save it as a PDF file.\n\nPlease note that some manuals may not be available online, but a reasonable effort must be made to locate them."}
{"task_id": "88dbb0", "area": "Analyst", "category": "Market & Competitive Research Reports", "input_text": "We are launching a new sports nutrition supplement brand in Germany with an eventual rollout across Europe. We need a skilled market researcher to prepare a comprehensive, data-driven market research report that will form the foundation of our market entry strategy.\n\nMarket Overview\n\nSize and growth of the sports nutrition supplement market in Germany and Europe\nSegmentation by product type & health benefit\nAwareness and adoption of sports nutrition supplements in Europe\n\nConsumer Analysis\n\nDemographic and psychographic profiles of wellness-focused consumers\nBuying behaviors, motivations, and preferred product formats\nInfluencing factors (fitness instructors, online reviews, influencers)\n\nCompetitive Landscape\n\nIdentify and profile major brands (local and global) in sports nutrition supplements\nProduct range, pricing, distribution strategies\nSWOT analysis of top 5 competitors\n\nRegulatory & Compliance Overview\n\nEU and German regulations for supplements and herbal products\nHealth claim rules, ingredient approvals, labeling & packaging requirements\n\nDistribution Channels\nOnline, retail, pharmacy, and specialty wellness channels\nKey distributors, retailers, and potential partners in Germany & Europe\n\nPricing Analysis\nPrice ranges by product format and category\n\nCompetitor pricing & positioning\nMarketing Insights\nEffective digital marketing strategies in the European wellness space\nInfluencer and community-based marketing opportunities\nKey events, expos, or partnerships to consider\n\nOpportunities & Challenges\nGaps in the market, niche opportunities\nRisks and barriers to entry\n\nDeliverables:\n\nComprehensive written report (well-structured with data, charts, and citations)\n\nExecutive summary highlighting main findings & recommendations\n\n\nRequirements:\n\nProven experience in market research (especially in health, wellness, or supplement industries)\nFamiliarity with European and German markets\nStrong analytical and presentation skills\nAbility to use reputable data sources (Statista, Euromonitor, government data, etc.)\nExcellent English writing skills"}
{"task_id": "c7af31", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "I’m looking for 300 Care Assistant leads in the UK.\n\nDetails:\n\nEach lead must be for a relevant role — ideally relating to HR or management (e.g. Director, HR Manager).\n\nLeads should be in this exact format:\nCompany name\nLocation\nPhone number\nGeneric business email (e.g. hr@company.com , recruitment@company.com , info@company.com )\n\nRequirements:\nAll contact details must be current and verified from public sources\nNo duplicates\nOnly UK‑based companies relevant to care assistant roles\nDeliverable:\nAttach a spreadsheet file (Excel or CSV) with the 300 leads, organized in the specified format."}
{"task_id": "7717b2", "area": "Operations", "category": "Collect data", "input_text": "Context:\nOur company wants to select a single session recording tool to track user behavior on the product. The goal is to centralize analytics, replace existing scattered tools, and get insights from user interactions from registration to activation.\n\nTool Requirements:\n\nSession Recording: Record all user sessions, clicks, scrolls, and navigation flows.\nAnalytics: Filter recordings by events, user segments, and pages.\nSecurity & GDPR: Data must be anonymized and stored in GDPR-compliant servers (EU or US).\nUsability: Easy for Designers, PMs, analysts, and product teams to search, replay, and analyze sessions without training.\nThe Task:\n\nIdentify 3–5 real session recording tools that meet the requirements.\nCreate a comparison table for: functionality, integrations, analytics, price, security, usability, support.\nAssign scores from 1–5 for each criterion.\nCalculate a total weighted score, prioritizing: 1) session recording quality, 2) integrations, 3) analytics, 4) price.\nRecommend the best tool and a backup, with a short explanation.\nHighlight potential risks or limitations for each tool."}
{"task_id": "405859", "area": "Analyst", "category": "Run Exploratory Data Analysis", "input_text": "Objective:\nCreate a comprehensive dataset of daily cryptocurrency prices and trading volumes for top 15 cryptocurrencies, including market cap rankings.\n\nData Sources: CoinGecko API, CoinMarketCap API\nDelivery Requirements:\n\nFormat: CSV/Excel file\n\nTime Coverage: June 2021 – June 2024\n\nFrequency: Daily closing data\n\nRequired Columns: Cryptocurrency Symbol, Date (YYYY-MM-DD), Opening Price (USD), Closing Price (USD), Trading Volume (USD), Market Cap Rank"}
{"task_id": "a1a1d0", "area": "Marketing", "category": "Collect Business Contact Data", "input_text": "I am going to  Enlit Europe 2025 (18-20 November, Bilbao, Spain) as a part of  Octopus Energy Finance\nBefore attending Enlit Europe 2025, i need a comprehensive strategy that includes:\n\n1. List of Potential Companies to Meet\nIdentify and research 15-20 companies that should be priority targets for Octopus Energy Finance. Consider:\n\nProfile: Company type (EPC contractor, renewable developer, equipment manufacturer, utility, storage provider, grid operator, etc.)\n\nLocation: Geographic focus (Spain, Europe, international)\n\nRelevance: Why they're a priority for financing or partnership discussions\n\nBusiness Model: How they align with Octopus' energy transition strategy\n\nContact Points: Decision-maker titles you should try to meet\n\nExample format:\n\nCompany Name        Sector        Location        Priority Level        Why Relevant        Decision-Makers to Target\n[Company]        [Type]        [Location]        High/Medium/Low        [Reasoning]        [Titles]\n2. Most Relevant Sessions & Presentations\nIdentify 8-12 key sessions/presentations you should attend, including:\n\nSession Title & Time\n\nWhy It's Relevant: How it connects to Octopus' financing focus\n\nKey Speakers/Topics: Who's speaking and what you'll learn\n\nNetworking Opportunity: Who else will be attending (competitors, potential partners, investors)\n\nAction Items: What questions to ask or follow-ups to plan\n\nExample format:\n\nSession Title        Day/Time        Why Attend        Key Speakers        Expected Attendees        Action Plan\n[Title]        [Date]        [Relevance]        [Names]        [Types]        [Questions/Follow-up]\n3. Organic Marketing Activation Ideas\nDesign 4-6 organic (non-paid) marketing activations you can execute at the trade show to:\n\nBuild brand awareness for Octopus Energy Finance\n\nAttract target companies to conversations\n\nGenerate qualified leads for follow-up\n\nDifferentiate from competitors\n\nCreate shareable moments (social media, content)\n\nConsider:\n\nBooth/space design and messaging\n\nNetworking events or workshops you could host\n\nContent you could create or distribute\n\nPartnerships with other exhibitors or media\n\nSpeaking opportunities or panel participation\n\nDeliverables\nPlease prepare:\n\nCompany Target List (15-20 companies with research)\n\nSession Strategy (8-12 key sessions with action plans)\n\nMarketing Activation Plan (4-6 concrete ideas with:\n\nBrief description\n\nTarget audience\n\nExpected outcomes\n\nResource requirements\n\nTimeline for execution Additional Context\nAbout Octopus Energy Finance:\n\nSpecializes in project financing for renewable energy, storage, and grid modernization\n\nFocuses on mid-market deals (€50M-€500M)\n\nGeographic focus: Europe and UK\n\nStrong interest in: Solar, wind, battery storage, hydrogen, grid infrastructure\n\nCompetitive advantages: Speed of decision, flexible structures, industry expertise\n\nEnlit Europe 2025 Key Details:\n\nWhen: 18-20 November 2025\n\nWhere: Bilbao, Spain\n\nExpected Attendees: 15,000+ energy professionals\n\nKey Topics: Energy transition, decarbonization, grid modernization, financing mechanisms\n\nExhibitor Types: Utilities, renewable developers, technology providers, financial institutions, government agencies"}
{"task_id": "3b0995", "area": "Marketing", "category": "Collect Business Contact Data", "input_text": "We are building a marketing outreach campaign targeting the AI teams of food delivery companies like Glovo, DoorDash, Uber Eats, and more.\n\nYou are tasked with finding no less than 50 different short-range delivery companies, starting with Food Delivery and expanding into other niches. You will then for each company fill a row in a Google Sheets file with the following information:\n\nCompany name — website — key products / services – funding (if it's a startup) / revenue — Regions they operate in - Countries they operate in (if lower than 5) — any mentions that they are interested in training AI agents — decision maker linkedin profiles"}
{"task_id": "973d76", "area": "Operations", "category": "Collect Data", "input_text": "I am looking to order, analyze, and recommend course ideas based on the attached document of real-world pain points exported from Reddit and LinkedIn.  The file is attached.\n\n- Research Reddit conversations about **AI challenges for Product Managers** (adoption, tools, workflows, fears, etc.).\n- Collect data on what pains, frustrations, or confusions people expressed.\n\n**Deliverables (max 5 pages):**\n\n1. **Top Pain Points** of AI usage for PMs\n    - Summarized clearly with frequency/importance.\n    - Include **direct quotes** from Reddit users.\n    - Copy links in separate document when you include it.\n2. **Analysis of Trends**\n    - What themes repeat across different users?\n    - Are there surprising or unique pain points?\n3. **Course Recommendations**\n    - Suggest at least **2–3 short course ideas** BuildUp could design.\n    - Each idea should connect directly to a pain point (e.g., “Users complain about struggling with AI in customer research → Course on ‘Using AI Agents for Market Discovery’”).\n\n**Format:**\n\n- Clear structure: Intro → Pain Points → Analysis → Recommendations.\n- Tables or bullet points welcome.\n- Please keep the report \"blah free\" and **under 3 pages**."}
{"task_id": "f88ab3", "area": "Operations", "category": "Collect Data", "input_text": "I’m looking for someone to create a detailed travel plan to Vietnam for both 12 days and 15 days.\n\nThe plan should include:\nThe most important cities to visit\nMain tourist spots in each location\nMust‑do activities and experiences\nNotable cafés worth visiting\nPopular local products to buy (including well‑known tailoring shops) in Ho Chi Minh City and Hanoi\n\nRequirements:\nWell‑structured daily or location‑based itinerary\nClear recommendations with brief descriptions\nPractical tips for travelers (e.g., opening hours, ticket info where relevant)\n\nDeliverable:\nAttach the completed travel plan as a document (Word, PDF, or similar)."}
{"task_id": "c0e29b", "area": "Sales", "category": "Complete Missing Fields (enrichment)", "input_text": "Complete Platform Features and Pricing Tier for Email Marketing Platforms ar eattached as a file.\n\nMissing Fields:\n\nPrimary Platform Features (use only these):\n\nEmail Campaign Building\n\nMarketing Automation\n\nCRM Integration\n\nAnalytics & Reporting\n\nE-commerce Integration\n\nA/B Testing\n\nPricing Tier (use only these):\n\nFree Plan Available\n\nFreemium (Free + Paid)\n\nPaid Only - Entry Level (<$30/month)\n\nPaid Only - Mid-Range ($30-100/month)\n\nPaid Only - Enterprise (>$100/month)"}
{"task_id": "66cdf5", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "I need help collecting contact details for accounting-related businesses in the cities and suburbs of Houston and Dallas, Texas.\n\nTarget business types:\nAccounting firms\nCPA firms\nPayroll companies\nTax preparation services\nTax resolution companies\n\nFor each business, gather:\nBusiness name\nPhone number\nEmail address (business/professional)\n\nSources:\nLinkedIn\nOther reliable websites and public listings\n\nDeliverable:\nAttach an Excel or CSV file with the collected data, one row per business, and clear column headers. All details should be accurate and up to date."}
{"task_id": "21d441", "area": "Operations", "category": "Collect data", "input_text": "Research Source Spreadsheet: 10 popular project management tools\n\nFor Each Platform:\nPricing\nFree plan details\n\nPer-user monthly/annual pricing\n\nTeam/business plan costs\n\nEnterprise pricing (if available)\n\nAvailable Features\nTask/project tracking (Y/N)\n\nGantt chart view (Y/N)\n\nTime tracking (Y/N)\n\nFile storage/collaboration (Y/N)\n\nKanban board support (Y/N)\n\nTeam chat/communication (Y/N)\n\nReporting & analytics (Y/N)\n\nPros (According to Users)\nMain advantages reported in reviews\n\nBest for specific team sizes or industries\n\nEase of onboarding feedback\n\nCons (According to Users)\nCommon complaints from users\n\nPerformance/speed issues mentioned\n\nLearning curve/complexity issues\n\nVendor Claims\nFeatures promised on official website\n\nRoadmap features\n\nReported Issues\nIntegration problems with other tools\n\nTechnical bugs or stability concerns\n\nOther Insights\nQuality of customer support\n\nMobile app availability\n\nDeliverables\nMain Comparison Spreadsheet\n\nAll tools with complete data\n\nLeave blank if data not found\n\nSummary Sheet\n\nBest for small teams (1-10 people)\n\nBest for enterprise (100+ people)\n\nBest free option\n\nBest overall value for money\n\nTypical tools list for comparison\n#        Tool Name        Official Website        Focus Area\n1        Asana        https://www.asana.com        Work management/large teams\n2        Monday.com        https://www.monday.com        Visual workflows/customizable\n3        Jira        https://www.atlassian.com/jira        Agile/software development\n4        Trello        https://www.trello.com        Kanban boards/simple\n5        Notion        https://www.notion.so        All-in-one workspace\n6        ClickUp        https://www.clickup.com        Flexible/feature-rich\n7        Basecamp        https://www.basecamp.com        Simple/communication-focused\n8        Linear        https://linear.app        Issue tracking/tech teams\n9        Wrike        https://www.wrike.com        Enterprise project management\n10        Smartsheet        https://www.smartsheet.com        Spreadsheet-like interface\nUseful for: Companies evaluating which project management tool to adopt for their remote teams."}
{"task_id": "cafa9f", "area": "Operations", "category": "Schedule & Manage Appointments & Calls", "input_text": "I need help creating a complete football game schedule for a league with 9 teams, following a strict set of rules to keep things fair and meet a few pre‑set matchup requirements.\n\nTeams in the league:\n\nWallkill Valley\nParsippany\nHopatcong\nJunior Knights\nRingwood\nKittatinny\nBoonton\nHackettstown\nLenape Valley\nScheduling rules:\n\nSeason length: 9 weeks\nEach team plays every other team exactly once\nNo team plays more than one game per week\nEach team has one bye week during the season\nHome/Away balance:\n\nEvery team must have exactly 4 home games and 4 away games (bye week excluded)\nSpecial matchup constraints:\n\nWallkill Valley has bye in Week 3\nHackettstown plays an away game in Week 4\nKittatinny plays at home in Week 5\nBoonton plays at home in Week 4\nDeliverable:\n\nA complete 9‑week schedule showing:\nWeekly matchups\nWhich team is home and which is away\nBye teams for each week\nClear, readable format (Excel, CSV, Markdown table, or text document)\nA short explanation of the method used to build the schedule"}
{"task_id": "dfe915", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "I need to collect email addresses for all F45 Training locations worldwide.\n\nDetails:\nThere are roughly 1,600 locations according to Google\n\nFor each location, capture:\nLocation name\nCity & country\nEmail address (business/professional)\nWebsite URL (if available)\n\nRequirements:\n\nAll emails must be current and verified from official sources (e.g., the F45 website, official social media, or direct listings)\nNo duplicates\nOrganized, clean data\n\nDeliverable:\nAttach a spreadsheet file (Excel or CSV) with one row per location and all the required fields filled in."}
{"task_id": "56c7dc", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "I’m looking for someone to research and compile a list of 50 loft conversion or general building companies based in South London.\n\nFor each company, collect:\n\nCompany name\nWebsite\nGeneric business email (no personal addresses)\nPhone number\nInstagram or LinkedIn link (if available)\n\nRequirements:\nOnly include companies that clearly offer loft conversions or home extensions\nExclude national chains or franchises — local, independent firms only\nAll details must be accurate and from public sources\n\nDeliverable:\nAttach a spreadsheet (Excel or CSV) with 50 companies, organized in the fields above."}
{"task_id": "ac4123", "area": "Analyst", "category": "Generate Performance Dashboards & Summaries", "input_text": "Build an Interactive Customer Retention Dashboard in Excel\nCategory: Analyst - Generate Performance Dashboards & Summaries\n\nObjective: Create an interactive Excel dashboard analyzing customer retention metrics across product lines and customer segments.\n\nData Source: You are provided with a dataset containing:\n\nCustomer ID\nProduct Line\nSubscription Start Date\nSubscription End Date (if churned)\nCustomer Segment (Enterprise, Mid-Market, SMB)\nMonthly Spend\nSupport Tickets Count\nLogin Frequency\n\nRequired Dashboard Components:\n\n1. Month Filter & KPI Cards\n\nMonth/Quarter selector to filter all visualizations\n\nDisplay cards showing:\n\nTotal Active Customers\n\nChurn Rate (%)\n\nMonthly Recurring Revenue (MRR)\n\nAverage Customer Lifetime Value\n\n2. Retention Rate by Product Line\n\nTable showing each product line with:\n\nTotal customers\n\nRetained customers (current month)\n\nChurn rate (%)\n\nMonth-over-month trend\n\nStacked bar chart visualizing retention vs. churn\n\n3. Churn Analysis by Customer Segment\n\nTable with Enterprise/Mid-Market/SMB segments\n\nChurn count and rate for each segment\n\nSupport tickets vs. churn correlation\n\nPie chart showing churn distribution by segment\n\n4. Customer Health Score Breakdown\n\nSegmented stacked bar chart showing customers by:\n\nHealth status (Healthy, At-Risk, Churned)\n\nCustomer Segment\n\nCalculate health score based on login frequency, support tickets, and spend\n\n5. Time-Series Retention Trend\n\nLine chart showing monthly retention rate over the past 12 months\n\nInclude trend line or moving average\n\nHighlight months with significant changes\n\n6. Retention Drivers Analysis\n\nScatter plot: Support Tickets vs. Retention (show correlation)\n\nBox plot: Monthly Spend distribution by retention status\n\nKey Features:\n\nSingle month/quarter filter updates all tables and charts\n\nAutomatic calculation of churn rate, MRR, LTV\n\nColor-coded health status for quick visual scanning\n\nClearly labeled axes, legends, and data labels\n\nProfessional formatting with consistent colors\n\nDeliverable:\n\nFully interactive Excel workbook with all components\n\nAll formulas dynamic and editable\n\nReady for management presentation"}
{"task_id": "a4c55c", "area": "Marketing", "category": "Collect Business Contact Data", "input_text": "As part of a market research project on the landscaping and artificial grass sector in Los Angeles, compile a dataset of 200 businesses specialising in artificial grass installation and landscaping services.\n\nDeliverable:\nA spreadsheet (CSV or Excel) including for each company:\n\nBusiness name\nWebsite (if available)\nCity/area within Los Angeles\nService focus (installation / landscaping / both)\n\nThis list will be used to analyse market coverage and service positioning in the region."}
{"task_id": "131a6f", "area": "Marketing", "category": "Market & Competitive Research Reports", "input_text": "We are preparing to launch a new sushi restaurant in the Estrella/Retiro area of Madrid and require a thorough competitive study to guide menu design, pricing strategy, and market positioning.\n\nGoal\nIdentify all restaurants that serve sushi within a 3 km radius of our future location and compile a detailed comparison report in a single file.\n\nDelivery Specifications\n\nFormat: Attach a spreadsheet file (Excel or CSV).\nSearch Area: 3-kilometer radius around Calle Cruz del Sur, 13, 28007 Madrid, Spain.\nInclusion Criteria: List every venue serving sushi, whether it’s a dedicated Japanese restaurant or another type of establishment with sushi on the menu.\nData Fields Required\nYour file should include all of the following columns for each competitor found:\n\nRestaurant Name\nGoogle Maps URL\nWebsite Link (if available)\nDirect Link to Menu (if available online)\nListed on Glovo / Uber Eats? (Yes/No)\nPrice for Salmon California Roll (or “Not Available” if not offered)\nPrice for Salmon Philadelphia Roll (or “Not Available” if not offered)\nAverage Google Maps Rating\nReview Summary (bullet-point overview of the most frequent compliments and complaints from recent reviews)"}
{"task_id": "a8e2c9", "area": "Analyst", "category": "Run Exploratory Data Analysis", "input_text": "Compile key economic indicators for G20 countries including GDP growth, inflation rates, unemployment rates, and currency exchange rates against USD.\n\nData Sources: World Bank API, IMF API, Exchange Rates API\nDelivery Requirements:\n\nFormat: Excel or CSV\n\nTime Coverage: 2019 – 2024 (quarterly data)\n\nFrequency: Quarterly\n\nRequired Columns: Country, Quarter (YYYY-Q#), GDP Growth Rate (%), Inflation Rate (%), Unemployment Rate (%), USD Exchange Rate"}
{"task_id": "31fe7a", "area": "Analyst", "category": "Generate Performance Dashboards & Summaries", "input_text": "Objective: Create an interactive Excel dashboard tracking product development initiatives, resource allocation, and delivery progress.\n\nData Source attached:\n\nInitiative ID\nInitiative Name\n\nProduct Line\n\nStatus (Planning, In Development, Testing, Launched, On Hold)\n\nStart Date\n\nTarget Completion Date\n\nActual Completion Date\n\nAssigned Team Size\n\nBudget Allocated\n\nBudget Spent\n\nResource Utilization (%)\n\nPriority Level (Critical, High, Medium, Low)\n\nExpected Revenue Impact ($)\n\nActual Revenue Impact ($)\n\nRequired Dashboard Components:\n\n1. Status Overview KPI Cards\n\nInitiatives by status count (Planning, In Development, etc.)\n\nOn-time delivery rate (%)\n\nBudget utilization rate (%)\n\nAverage resource utilization (%)\n\nTotal expected vs. actual revenue impact\n\n2. Initiative Timeline Gantt Chart\n\nHorizontal timeline showing:\n\nProject start and end dates\n\nCurrent progress percentage\n\nPlanned vs. actual completion dates\n\nColor-coded by status\n\nFilter by product line\n\n3. Budget Performance Analysis\n\nTable showing each initiative with:\n\nBudget allocated vs. spent\n\nVariance ($)\n\nVariance (%)\n\nStacked bar chart: Budget allocation by product line vs. actual spend\n\n4. Resource Allocation by Team\n\nPie/donut chart showing distribution of team members across initiatives\n\nTable with team name, allocated resources, and utilization rate\n\nHighlight over/under-allocated teams\n\n5. Delivery Performance Comparison\n\nScatter plot: Budget vs. Schedule (on-time)\n\nBubble chart: Priority level, budget, and delivery status\n\nShow planned vs. actual duration\n\n6. Revenue Impact Analysis\n\nBar chart comparing expected vs. actual revenue impact by initiative\n\nTable ranking initiatives by revenue impact potential\n\nHighlight top performers and underperformers\n\n7. Status Waterfall by Product Line\n\nHorizontal bar showing initiatives count by:\n\nProduct line (rows)\n\nStatus (Planning → In Dev → Testing → Launched)\n\n8. Risk & Performance Indicators\n\nHeatmap matrix showing:\n\nX-axis: Budget variance (-20% to +20%)\n\nY-axis: Schedule variance (days early/late)\n\nColor intensity: Risk level (green = on track, red = at risk)\n\nInteractive Filters:\n\nDate range selector (start/end date)\n\nProduct line dropdown\n\nStatus filter (multi-select)\n\nPriority filter\n\nTeam filter\n\nKey Features:\n\nAll filters update all charts and tables simultaneously\n\nAutomatic calculations for variances, utilization, and impact\n\nColor-coded status indicators (green/yellow/red)\n\nMilestone indicators on timeline\n\nResponsively formatted layout\n\nDeliverable:\n\nFully interactive Excel workbook with all components\n\nAll formulas dynamic and editable\n\nExecutive summary section highlighting key metrics\n\nReady for stakeholder review and decision-making"}
{"task_id": "1552d4", "area": "Sales", "category": "Complete Missing Fields (enrichment)", "input_text": "Objective: Research and add annual revenue estimates and company funding stage for technology startups given file attached.\n\nMissing Fields:\n\nAnnual Revenue Category (use only these):\n\n<$1M\n\n$1M–$5M\n\n$5M–$20M\n\n$20M–$100M\n\n$100M+\n\nCompany Stage (use only these):\n\nPre-Seed\n\nSeed\n\nSeries A\n\nSeries B\n\nSeries C+\n\nPost-IPO\n\nRequirements:\n\nProficient in web research, Crunchbase, PitchBook, LinkedIn\n\nHigh attention to detail and accuracy\n\nEfficiently handle 139+ records\n\nMark as \"Not Found\" if data unavailable\n\nDeliverable:\n\nCSV with completed fields\n\nAll data from official sources\n\nResearch source documented"}
{"task_id": "56ef9c", "area": "Analyst", "category": "Market & Competitive Research Reports", "input_text": "Research task\n\n1. Primary Analysis  - Conduct an in-depth analysis to determine the highest-demand bathroomware products sold through online channels across Australia, focusing specifically on sanitary fixtures including toilets, tapware, basins, bathtubs, vanity units, and drainage components, with particular attention to products demonstrating strong performance in digital sales environments.\n\n2. Supplementary Analysis -  Incorporate a supplementary analysis covering leading specification trends for bathroom fixtures frequently selected by building professionals and renovation specialists, highlighting products commonly included in project quotes and utilized in construction work.\n\nThe research should encompass data collection from:\n\nE‑commerce Marketplaces & Retailer Websites: examination of best-selling and high-volume products\nKeyword  & search analytics: use analytical platforms such as Google Trends, SEMrush, or Ahrefs to identify high-traffic search terms related to bathroom fixtures, emphasizing frequently queried product categories and specific models.\n\nIndustry Platforms & Specification tools (for 2 part of the task)\n\nGather insights regarding bathroomware items commonly specified in professional quotes or utilized in actual construction projects through platforms such as EstimateOne, BCI, Cordell Connect.\n\nExpected Outcomes\n\nPrimary Analysis:\nRanking of most sought-after bathroomware fixtures in online retail environments (organized by sales volume or search demand)\nProduct identification including model names/numbers, with SKU details or distinguishing specifications where available\nQuantitative data or ranking metrics demonstrating relative market popularity\n\nSupplementary Analysis:\n\nIdentification of bathroomware products (within identical categories) most commonly specified by industry professionals\nBrief comparison with the online consumer demand trends."}
{"task_id": "4f8841", "area": "Analyst", "category": "Generate Performance Dashboards & Summaries", "input_text": "We are conducting a comprehensive data-driven analysis to rank Canadian national parks by danger level, using visitor incidents, wildlife encounters, rescues, and accidents as key metrics. We need an experienced researcher to collect, clean, and organize data from credible public sources.\n\n\nData Collection Requirements\nParks Canada Incident Data: Collect accident, rescue, and wildlife encounter statistics from Parks Canada's open datasets and official reports\nHealthcare Data: Extract hospitalization and injury data related to outdoor activities from CIHI (Canadian Institute for Health Information) or CHIRPP (Canadian Hospitals Injury Reporting and Prevention Program)\nVisitor Statistics: Gather official visitor numbers by park from Parks Canada to enable data normalization\n\nData Processing: clean and standardize all collected datasets\nCalculate normalized risk scores (incidents per 100,000 visitors)\nOrganize findings into a structured spreadsheet format (Google Sheets or Excel preferred)\nDocument all data sources and methodologies for complete transparency\n\nProject Deliverables\n\nA comprehensive spreadsheet containing:\n\nAll collected data points by park\nNormalized danger rankings based on visitor incidents\nComplete source citations for all data\nRisk calculation formulas and methodology\n\nA concise summary document that includes:\n\nDetailed methodology explanation\nKey insights and findings\nData limitations and assumptions\nRecommendations for further analysis"}
{"task_id": "b6596b", "area": "Analyst", "category": "Market & Competitive Research Reports", "input_text": "Conduct a focused competitive analysis to identify the service models and pricing structures of selected software providers\n\nResearch and summarize key service features and pricing models for the following companies:\n\nVillagemaster\nChecked In Care\nPluss Communities\nErin Living\nCentrim Life\nSayello\n\nFocus on publicly available information such as official websites, product brochures, case studies, customer reviews, and pricing plans.\n\nHighlight differences and similarities in service delivery models and pricing strategies across these providers.\n\nPrepare a concise and clear report (3-5 pages) summarizing the findings with comparisons, supported by relevant examples or data points."}
{"task_id": "3dad15", "area": "Analyst", "category": "Customer / User Interviews or Feedback Collection", "input_text": "A content analysis project requires gathering all user comments from 20 specified blog posts into one consolidated spreadsheet.\n\nDeliverable\nAttach a spreadsheet file (Excel or CSV) containing all comments from the listed posts, organized clearly for further analysis."}
{"task_id": "98ce41", "area": "Marketing", "category": "Collect Business Contact Data", "input_text": "For an upcoming marketing initiative in the independent auto repair sector in South West Florida, compile a list of 150 non-franchise small and medium-sized auto repair shops within 50 miles of Fort Myers and Naples.\n\nDeliverable:\nA spreadsheet (Excel or CSV) with:\n\nCompany name\nPhysical address\nWebsite\nPhone number\nBusiness email address\n\nOnly include businesses with their own branding (exclude national chains such as Midas or Firestone). All information must be accurate and up-to-date. The data will be used to inform targeted marketing campaigns and sector-specific outreach."}
{"task_id": "dd2cc6", "area": "Operations", "category": "Convert formats", "input_text": "Convert a comprehensive report from PDF format into structured, fully editable spreadsheet(s), ensuring all tables and chart data are readable and easy to analyze.\n\nSource File\nTrends – Artificial Intelligence May 2025\n\nDownload link: https://www.bondcap.com/reports/tai  \n(File size: 340 pages. Extensive tables, charts, well-known in the industry. Publicly accessible. No login or license required.)\n\nRequirements\nConvert all tables found in the PDF report to editable presentation format (Google Sheets).\n\nWhere possible, extract underlying chart data into spreadsheet tables (not as images).\n\nMaintain logical structure for each section, matching original PDF flow.\n\nClean up the data (remove footnotes, page numbers, merge split rows as needed).\n\nName sheets and tab sections clearly according to report sections .\n\nFor any non-extractable chart data (where only images exist), create a placeholder noting the page and chart title.\n\n\nDeliverable\n\nGoogle Sheets file with same structure, accessible via shareable link.\n\nOne additional sheet (“Conversion report”) listing any pages where table/chart data could not be extracted and what workaround was used.\n\nSummary\nThis is a \"data wrangling\" task converting a widely used public market report to spreadsheet format so analysts can use the data computationally.\nSource is public, large, and contains substantial tabular and graphical data for extraction."}
{"task_id": "8f462e", "area": "Operations", "category": "Schedule & Manage Appointments & Calls", "input_text": "I need help creating a complete client presentation schedule for a software company with 8 account managers, following strict rules to ensure fair opportunity distribution and meet client relationship requirements.\n\nAccount Managers:\n\nAccount Manager A\nAccount Manager B\nAccount Manager C\nAccount Manager D\nAccount Manager E\nAccount Manager F\nAccount Manager G\nAccount Manager H\n\nScheduling rules:\n\nSchedule duration: 8 weeks\n\nEach account manager must present to every client segment exactly once (8 client segments total)\n\nNo account manager presents to more than one client segment per week\n\nEach account manager has one week off for training/conferences\n\nClient Segment Balance:\n\nEvery account manager must present to exactly 3 enterprise clients and 4 SMB (small-medium business) clients\n\nClient segments: Enterprise Finance, Enterprise Healthcare, Enterprise Manufacturing, Enterprise Retail, SMB Technology, SMB Services, SMB E-commerce, SMB Consulting\n\nSpecial presentation constraints:\n\nAccount Manager A is at a conference in Week 4\n\nAccount Manager B must present to Enterprise Finance in Week 1\n\nAccount Manager C must present to SMB Technology in Week 6\n\nAccount Manager D must present to Enterprise Healthcare in Week 2\n\nAccount Manager E is unavailable Week 7 (training)\n\nAccount Manager F must present to Enterprise Manufacturing in Week 5\n\nDeliverable:\n\nA complete 8-week presentation schedule showing:\n\nWeekly account manager assignments to client segments\n\nWhich client segments receive presentations each week\n\nAccount managers on training/conference leave for each week\n\nClear, readable format (Excel, CSV, Markdown table, or text document)\n\nA short explanation of how the schedule was optimized for fair distribution"}
{"task_id": "55811e", "area": "Operations", "category": "Collect data", "input_text": "Companies to Research:\nPurina (Nestlé Purina)\nHill's Pet Nutrition\nIams\nBlue Buffalo\nPedigree\nRoyal Canin\nTaste of the Wild\nOrijen\nAcana\nMerrick Pet Care\n\n\nRequired Data to Find:\nCompany Name\n\nOfficial Website\n\nLinkedIn Profile URL\n\nFacebook Page URL\n\nInstagram Profile URL\n\nTwitter/X Profile URL\n\nYouTube Channel URL\n\nContact Page URL\n\nHeadquarters Location\n\nProduct Categories\n\nCompany Type (Independent / Subsidiary)\n\nProfile Status\n\nWebsite Status\n\nNotes/Issues\n\nDate Researched\n\nQuality Standards:\n✓ All URLs must work (no broken links)\n✓ All verified as official company accounts\n✓ Parent company noted for subsidiaries\n\nDeliverables:\nSpreadsheet - All companies with all required data"}
{"task_id": "5bc99b", "area": "Analyst", "category": "Market & Competitive Research Reports", "input_text": "We are launching a strategic discovery initiative within the interior design sector and require comprehensive market research support. This assignment involves:\n\nMapping key competitors across PropTech, DesignTech, and Construction SaaS platforms\nScanning emerging trends and innovations shaping the ecosystem\n\nConducting UX benchmarking of leading solutions in these verticals\n\nAnalyzing findings to uncover unmet needs, gaps, and market opportunities\n\nDeliverables:\n\nAn Excel workbook with structured competitor profiles, feature matrices, trend scores, and opportunity heatmaps\nA Word report presenting synthesized insights, strategic recommendations, and visual summaries\nIdeal candidates will have proven experience in SaaS, PropTech, or design/construction technology research, plus advanced Excel and Word skills. The emphasis is on insight generation and strategic analysis—not merely data gathering.\n\nFor full project details, please see the specification attached."}
{"task_id": "965998", "area": "Sales", "category": "Complete Missing Fields (enrichment)", "input_text": "I have a list of 10 companies with their names and websites. I need to find and add their press inquiry email addresses to this list to enrich the data.\n\nPlease include in your proposal a clear plan or approach describing how you will complete this research task. You can provide this plan in a separate row under the company data table."}
{"task_id": "4f8ed6", "area": "Operations", "category": "Schedule & Manage Appointments & Calls", "input_text": "I need help creating a complete restaurant inspection schedule for a health department with 7 auditors, following strict rules to ensure fair workload distribution and meet specific inspection requirements.\n\nAuditors in the team:\n\nSarah Mitchell\nDavid Chen\nMaria Rodriguez\nJames Thompson\nEmily Watson\nRobert Johnson\nLisa Anderson\nScheduling rules:\nSeason length: 7 weeks\n\nEach auditor must inspect every restaurant district exactly once (7 districts total)\n\nNo auditor conducts more than one inspection per week\n\nEach auditor has one training/vacation week during the season\n\nWorkload balance:\n\nEvery auditor must conduct exactly 3 inspections in high-traffic districts (Downtown, Mall Area, Airport Zone) and 3 inspections in residential districts\n\nDistricts: Downtown, Mall Area, Airport Zone, North Residential, South Residential, West Residential, East Residential\n\nSpecial scheduling constraints:\n\nSarah Mitchell has training week in Week 2\n\nDavid Chen must inspect Mall Area in Week 5\n\nMaria Rodriguez must inspect Downtown in Week 1\n\nJames Thompson is unavailable for Week 6 (vacation)\n\nEmily Watson must inspect Airport Zone in Week 3\n\nDeliverable:\n\nA complete 7-week schedule showing:\n\nWeekly auditor assignments to districts\n\nWhich districts are inspected each week\n\nAuditors on training/vacation for each week\n\nClear, readable format (Excel, CSV, Markdown table, or text document)\n\nA short explanation of the scheduling methodology used"}
{"task_id": "5a4b9a", "area": "Operations", "category": "Collect data", "input_text": "We are conducting a market research project and need assistance in compiling company data from a specific German public directory. The aim is to produce a clean, well-organized list of all companies listed in the directory along with their external websites.\n\nGoal\nGo through all pages of the provided directory, open each company’s profile, and record the required details into a single spreadsheet file.\n\nDelivery Details\n\nFormat: Attach a spreadsheet file (Excel or CSV).\nSource: Work through all company profiles listed starting from:\nhttps://www.weltzentrum-der-medizintechnik.de/unternehmen/suchergebnisse?page=1\nData to Collect: For each profile, use the exact company name shown, copy the profile page URL, and, if available, extract the external website link by clicking the “Website” button on the right-hand side. If there is no such button, leave the field blank.\n\nRequired Columns\nThe spreadsheet should include the following for every company in the directory:\n\nCompany Name (exactly as it appears on the profile)\nProfile Page URL (on weltzentrum-der-medizintechnik.de)\nExternal Website URL (from the “Website” button, if available)"}
{"task_id": "8c750c", "area": "Analyst", "category": "Market & Competitive Research Reports", "input_text": "A pricing research task requires checking the websites of 50 local restaurants and capturing the current cost of two specific menu items:\n\nA standard/regular burger\nThe cheapest beer listed \n\nDeliverable\nAttach a spreadsheet file (Excel or CSV) containing the restaurant name, website URL, and the recorded prices for both items. Ensure all prices are taken directly from the official menu and are up to date."}
{"task_id": "47e35a", "area": "Marketing", "category": "Market & Competitive Research Reports", "input_text": "We are carrying out market research on the consumer electronics sector in the Netherlands and need a detailed dataset of the highest-performing laptops currently available on Amazon.nl.\n\nGoal\nFind the 50 best-selling laptop models listed on Amazon Netherlands (Amazon.nl) and create a spreadsheet with key product details, including a concise analysis of customer feedback.\n\nDelivery Specifications\n\nFormat: Attach a spreadsheet file (Excel or CSV).\nSource: Use the official Best Sellers section for laptops on Amazon.nl.\nQuantity: Include exactly 50 distinct laptop models from the list.\nReview Scope: Only include feedback directly related to the product (e.g., display quality, battery performance, processing speed, keyboard feel). Exclude any remarks about the seller, delivery process, or packaging.\nRequired Data Fields\nFor each of the 50 laptops, provide:\n\nBrand\nModel\nPrice (€)\nAverage Rating (e.g., 4.5 out of 5)\nNumber of Customer Reviews\nDirect Amazon Product Link (URL)\nProduct-Specific Praises (short summary)\nProduct-Specific Complaints (short summary)"}
{"task_id": "9382ce", "area": "Operations", "category": "Validate Contact Info", "input_text": "Project Overview\nThis project requires validating professional business emails for list of companies. The focus is on extracting verified company domain emails (not free email providers like Gmail, Yahoo, Hotmail) from a pre-compiled list of companies.\n\nCore Requirements\nEmail Validation Standards\nOnly company domain emails accepted (e.g., info@company.com, contact@company.com)\nReject all free email providers: Gmail, Yahoo, Hotmail, Outlook, and similar services\nVerify deliverability: Ensure emails are active and not bouncing\n\nData Source is attached.  \n\n\nDeliverables\nCompleted list of validated business contacts\n\nExtract company domain emails for the provided companies\nVerify each email is from the actual company domain\n\nEmail validation checklist:\nEmail must match company domain (same domain as company website)\nEmail format: professional (info@, contact@, business@, etc.)\nNo personal email addresses\nNo free email providers\n\nDelivery format:\n\nExcel or Google Sheets file\nColumns: Company Name | Validated Email | Verification Method | Status"}
{"task_id": "233bfd", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "I’m putting together a UK‑wide list of high‑end chauffeur and executive car hire companies for outreach and potential partnerships with a premium transport brand. I need someone to research, verify, and record full company details.\n\nWhat we’re looking for:\n\nChauffeur‑driven or executive vehicle hire companies in the UK\nFocused on premium/luxury services (e.g. Mercedes S‑Class, Rolls Royce, Bentley)\nExclude: taxi firms, Uber, ride‑hailing apps, basic minicab services\n\nWhat to collect for each company (all mandatory unless marked optional):\n\n- Company name\n- Website URL\n- Email address (generic or direct)\n- Phone number\n- Head office city / base location\n- Service types (e.g. airport transfers, weddings, VIP, corporate, events)\n- Vehicle types mentioned (e.g. Mercedes E‑Class, V‑Class, Range Rover)\n- Notes (e.g. minimum hire, pricing info, coverage area)\n- Postcode (if shown)\n- Facebook or Instagram handle (optional, but useful)\n\nSources to use:\n\nGoogle search: “chauffeur services + [city]”\nGoogle Maps\nOnline directories: Yell, Yelp, Addtoevent, Cylex\nCompany websites (check services and contact info)\nLinkedIn (optional, to confirm the business is active)\n\nRequirements:\n\nEach row = one company\nDouble‑check details are correct and active\nLeave fields blank only if the info truly doesn’t exist\nNo duplicates, only premium chauffeur services\n\nDeliverable:\nAttach a spreadsheet file (Excel or CSV) with the specified columns and complete, accurate data."}
{"task_id": "f27a92", "area": "Analyst", "category": "Market & Competitive Research Reports", "input_text": "Research and analyze the market share, pricing strategies, and service offerings of major e-commerce platforms targeting small-to-medium businesses.\n\nPlatforms to Research:\nShopify, WooCommerce, BigCommerce, Squarespace, Wix E-commerce, Magento\n\nDeliverable:\n\nMarket share data compilation (CSV format)\n\nTransaction fee comparison analysis\n\nFeature availability matrix\n\nCustomer segment analysis\n\nGrowth trend analysis over last 2 years\n\nData Sources: Industry reports, company annual reports, pricing pages, third-party market research sites"}
{"task_id": "c74b8b", "area": "Operations", "category": "Structure Raw Data into Schema", "input_text": "A dataset of customer addresses from multiple countries needs to be reformatted into a single, standardized structure suitable for use in shipping software. The target format should include separate columns: Street, City, Postal Code, Country separate column\n\nSource File is attached.\nDeliverable\nAttach a spreadsheet file (Excel or CSV) with all addresses converted and aligned to the specified format, ensuring consistency across the entire dataset."}
{"task_id": "ff9d57", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "Build a list of 300 independent, dine‑in restaurants in Austin, TX. Exclude franchise fast‑food chains (e.g., McDonald’s, Burger King, Taco Bell). The goal is to compile detailed contact information for each venue.\n\nData Requirements\n\nSources: Google Maps and Yelp\n\nRequired Fields:\nBusiness Name\nPhysical Address\nPhone Number\nWebsite URL\n\nDelivery Format:\nAttach a spreadsheet file (Excel or CSV) with all required information completed for each of the 300 restaurants."}
{"task_id": "0261de", "area": "Analyst", "category": "Generate Performance Dashboards & Summaries", "input_text": "We are seeking a data researcher/analyst to complete a project that ranks all 50 U.S. states by opportunity for single mothers. The ranking will be based on key metrics including affordability, income, childcare costs, and safety.\n\nScope:\n\nExtract data for target metrics—housing affordability, median income for single mothers, childcare costs, food and transportation costs, employment opportunities/unemployment rates, crime rates, healthcare access, and education quality—from public APIs and data portals (e.g., Census Bureau, BLS, HUD).\nClean and standardize each dataset: remove duplicates, handle missing values, normalize formats, and merge into a unified table at the state level.\nDevelop a composite scoring model that weights each metric appropriately and calculates a final score for each state. Normalize scores for cross-metric comparability.\nValidate rankings, prepare a final Excel file containing raw data, cleaned data, and composite scores, and deliver a brief (2-page) methodology summary explaining data sources, processing steps, and scoring approach.\n\nDeliverables:\n\nExcel workbook with raw imports, cleaned datasets, and final rankings for all 50 states\nTwo-page PDF outlining methodology, data sources, and scoring formula\n\nRequirements:\n\nProven experience with public data extraction and analysis\nStrong skills in data cleaning, normalization, and composite index creation"}
{"task_id": "12a710", "area": "Operations", "category": "Structure Raw Data into Schema", "input_text": "I am looking for someone to help me gather and structure population data for major European cities from multiple open data sources.\n\nYour job will be to:\n\nExplore each of the provided sources:\n\nEurostat Cities Database: https://ec.europa.eu/eurostat/web/cities/database  \n\nEurostat URB_CPOPSTR Dataset: https://ec.europa.eu/eurostat/web/products-datasets/-/URB_CPOPSTR  \n\nGeonames / Opendatasoft: https://public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/  \n\nEuropean Open Data Portal: https://data.europa.eu/en  \n\nEEA (European Environment Agency): https://www.eea.europa.eu/en/datahub/datahubitem-view/790f8af5-55a2-4e29-9222-ba4793824130  \n\nGitHub Dataset (European capital cities): https://github.com/alv2017/DataSets/blob/master/Europe/europe-capital-cities.csv  \n\nWikipedia List of European Cities by Population: https://en.wikipedia.org/wiki/List_of_European_cities_by_population_within_city_limits  \n\nCollect the most recent available population numbers for the following cities:\n\nParis\nRome\nLondon\nBerlin\nMadrid\nAmsterdam\nBrussels\nRiga\nVienna\nAthens \n\nCompare the population values across the different sources.\n\nCreate a comparative table where:\n\nEach row = one city.\n\nEach column = one of the data sources listed above.\n\nEach cell = population figure.\n\nNext to each population value, include the year of the data (e.g., “2,165,000 (2023)”).\n\nIf a source does not contain data for a city, write “no” in that cell.\n\nSave the final comparative table in both Google Sheet and CSV formats.\n\n\n\nRequirements:\n\nAbility to work with raw data (CSV, JSON, HTML tables).\n\nBasic knowledge of how to explore and extract data from open portals.\n\nAccuracy and attention to detail when aligning data across multiple sources.\n\nExperience working with Google Drive and Google Sheets.\n\n\nDeliverables:\n\nA comparative table (Google Sheet) with population data for the 10 specified cities, including the year of each data point.\n\nClearly marked cases where data was unavailable (“no”)."}
{"task_id": "ba699f", "area": "Sales", "category": "Complete Missing Fields (enrichment)", "input_text": "Data Enrichment for Accounting Firms List\n\nThe spreadsheet currently includes 20 firm’s name and city. Your task is to research and fill in four missing pieces of information for each firm.\n\nWhat You’ll Do:\nFor each firm in the list:\n\nFind the firm’s headquarters city and enter it in the \"\"HQ City\"\" column.\nFind the firm’s headquarters state and enter it in the \"\"HQ State\"\" column.\nSearch for the firm’s Google reviews and collect:\nAverage star rating → enter in the \"\"Google R Star\"\" column\nTotal number of reviews → enter in the \"\"Google R Count\"\" column\n\nInstructions:\n\nKeep all existing data intact; add new information only in the specified columns.\nDo not change company names or city column.\nComplete all rows without skipping any firms.\nFor Google reviews, use Google Maps to find the firm listing that matches the name.\nIf no Google listing is found, leave the review fields blank but still fill in headquarters info.\n\nRequirements:\n\nAbility to understand U.S. addresses (cities and states).\nExperience using Google, Google Maps, and review listings.\nDetail-oriented and accurate (work will be double-checked).\nAbility to deliver the fully completed Excel file on time.\n\n\nDeliverables:\n\nThe original spreadsheet, fully updated with:\n\n“HQ City” filled\n“HQ State” filled\n“Google R Star” filled (average star rating)\n“Google R Count” filled (total number of Google reviews)\n\nTips:\n\nIf the firm has multiple offices, choose the main location, usually marked as “Headquarters” or “Main Office.”\n\nUse only Google reviews (do not use Yelp, Facebook, or other sites)."}
{"task_id": "2ba9e7", "area": "Operations", "category": "Structure Raw Data into Schema", "input_text": "I need someone to pull data from the following source: https://www.dolthub.com/repositories/dolthub/menus \n\nThe task is to download all available menu items, the corresponding restaurant names, and any related identifier fields from the dataset.\n\nDeliverable:\nAttach a spreadsheet file (Excel or CSV) containing the exported data with clear column headers. Make sure all records from the source are included and match the original dataset."}
{"task_id": "33f586", "area": "Operations", "category": "Collect Data", "input_text": "Parse all mcp servers from [https://mcp.so/servers](https://mcp.so/servers) . The site states that there are 15807 at the moment. Paste your results into csv file with columns:\n- `github_url` - url to github of the mcp\n- `name` - name of the mcp server\n- `description` - short description from mcp.so\n- `language` - language stated at mcp.so\n- `category` - category stated at mcp.so\n- `tags` - list of tags from mcp.so\n\n- `overview` - overview from mcp.so\n- `readme` - readme.md content from github repo\n- `github_stars` - number of stars at github"}
{"task_id": "bfd8c4", "area": "Marketing", "category": "Market & Competitive Research Reports", "input_text": "I’m looking for someone who can help identify Amazon product pages that have fewer than 6 videos in the “Related Video Shorts” section.\n\nOptional extra filters:\n\n- 1,000+ customer reviews\n- Price over $50\n\nDeliverable:\nAttach a spreadsheet (Excel or CSV) with a list of the products found, including:\n\nProduct title\nProduct URL\nNumber of “Related Video Shorts”\nNumber of reviews\nPrice"}
{"task_id": "0e9011", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "Help us compile a list of 50 prospective affiliate partners for our cloud infrastructure solution—think DevOps, Kubernetes, SaaS, or developer tooling. You’ll research individuals and small teams who:\n\nProduce content (blogs, newsletters, YouTube, LinkedIn, etc.) about DevOps, cloud infrastructure, or developer tools\n\nEngage an audience of developers, technical founders, or engineering teams\n\nWould be a strong match for our affiliate program, which pays recurring commissions\n\nDeliver your findings in a Google Sheet with these columns for each lead:\n\nName\n\nLink to their website or content channel\n\nEmail address (or link to their contact form)\n\nBrief note explaining why they’re a good fit\n\n(Optional) Audience size or engagement metric (followers, newsletter subscribers, video views, etc.)"}
{"task_id": "d43690", "area": "Operations", "category": "Retrieve PDF / Document / Report Content", "input_text": "Your task is to extract specific season data from the Wikipedia page below and organize it into a Google Sheets document.\n\nSteps:\n\nVisit this Wikipedia page:\nhttps://en.wikipedia.org/wiki/List_of_Ohio_State_Buckeyes_men%27s_basketball_seasons  \n\nFor each season from 2009-2010 through 2024-2025 (approximately 16 seasons), copy the following data fields for every game:\n\nDate\nOpponent\nRecord\n\nPaste this data into a Google Sheets spreadsheet.\n\nDeliverable:\n\nA Google Sheets file with clear organization of the requested data for all specified seasons."}
{"task_id": "dde41d", "area": "Sales", "category": "Complete Missing Fields (enrichment)", "input_text": "Complete Employee Count and Industry Sector for 194 Organizations\n\nWe have a file with 194 organizations containing their names and websites. The file is missing two important fields:\n\nEmployee count category (please use these categories only):\n\n0–50\n50–100\n100–200\n200–500\n500+\n\nIndustry sector (please use these sectors only):\n\nBusiness & Financial Services\nIndustrial Production & Logistics\nMedia & Communication\nHealth & Research\nHospitality\n\nYour task is to research and accurately fill these fields for all organizations.\n\nRequirements:\n\nProficient in web research, data scraping, LinkedIn/Sales Navigator/Crunchbase\n\nHigh attention to detail and accuracy\n\nAbility to efficiently handle 100+ records\n\nDeliverable:\n\nExcel file with completed Employee Count and Industry Sector fields, using reliable data from official sources, LinkedIn, or trusted databases.\""}
{"task_id": "0dfc83", "area": "Marketing", "category": "Market & Competitive Research Reports", "input_text": "Look what is \"RL Gym\" in the context of training LLM agents\nFind top 10 competitors of Scale AI (including themselves)\nCheck their websites, look for offerings relevant for \"RL Gym\"\nFor each offering extract key value proposition along with other interesting parameters\nCreate a table summarizing your findings"}
{"task_id": "b0049c", "area": "Marketing", "category": "Market & Competitive Research Reports", "input_text": "Hi,\n\nI need help researching product sales on Amazon with a focus on gathering insights we can later use for outreach and sales activity.\n\nThe product to research is screen cleaners (spray product) for iPhone/smartphones.\n\n- Identify the top 5 selling screen cleaner brands on Amazon.\n- Estimate their monthly sales volume and amount.\n- Summarise any notable competitive advantages or positioning these brands use that could inform our own sales approach.\n\nBriefly explain your research process and the tools you used to validate the information.\n\nThanks!"}
{"task_id": "ed9411", "area": "Analyst", "category": "Run Exploratory Data Analysis", "input_text": "I need a clean, well-organized dataset of historical stock performance for a defined set of major companies to be used in a financial analysis project.\n\nObjective\nGather five years of monthly historical stock data for the 20 specified ticker symbols below, and deliver the complete dataset in one spreadsheet file.\n\nDelivery Requirements\n\nFormat: Attach a spreadsheet file (Excel or CSV).\nTime Coverage: June 2020 through June 2025.\nData Frequency: Include only data from the first trading day of each month within this period.\nDate Formatting: All dates must be in sortable format (YYYY-MM-DD).\nRequired Columns\nEach row in the spreadsheet should contain:\n\nTicker Symbol\nDate (First trading day of the month)\nOpening Price\nClosing Price\nTrading Volume\n\nTicker Symbols to Include:\n    AAPL (Apple Inc.)\n    MSFT (Microsoft Corporation)\n    GOOGL (Alphabet Inc.)\n    AMZN (Amazon.com Inc.)\n    TSLA (Tesla Inc.)\n    META (Meta Platforms Inc.)\n    NVDA (NVIDIA Corporation)\n    JPM (JPMorgan Chase & Co.)\n    JNJ (Johnson & Johnson)\n    V (Visa Inc.)\n    PG (Procter & Gamble Co.)\n    UNH (UnitedHealth Group Inc.)\n    HD (Home Depot Inc.)\n    MA (Mastercard Inc.)\n    PFE (Pfizer Inc.)\n    BAC (Bank of America Corp.)\n    DIS (Walt Disney Co.)\n    ADBE (Adobe Inc.)\n    CRM (Salesforce Inc.)\n    NFLX (Netflix Inc.)"}
{"task_id": "40b4e5", "area": "Marketing", "category": "Market & Competitive Research Reports", "input_text": "Please make a comparison table with actual services of AI decks/presentations design platforms, which support and offer customised design and fonts\nmust contain\n– comparing of prices, per one, per team, per licenze\n– available features\n– pro and contra (according to users)\n– promised features\n– reported bugs\n– quality of design\n– your recommendation"}
{"task_id": "61187d", "area": "Sales", "category": "Collect Business Contact Data", "input_text": "We are creating a B2B outreach list targeting organizations that are actively involved in the SEO industry. This research will focus on identifying companies and their senior marketing decision-makers who have served as sponsors for the BrightonSEO conference.\n\nGoal\nResearch all companies that acted as official sponsors for the UK BrightonSEO conference during the past two years. For each company, find the most senior marketing-focused executive and record the information in a structured spreadsheet.\n\nDelivery Specifications\n\nFormat: Attach a spreadsheet file (Excel or CSV).\nEvent Scope: BrightonSEO events in the UK within the last two years (e.g., April 2025, October 2024, April 2024, etc.).\nCompany Inclusion: Only businesses listed as official sponsors.\nContact Requirement: Identify the highest-ranking marketing leader (e.g., CMO, VP of Marketing, Head of Marketing).\nRequired Data Fields\nFor each company, add one row containing the following columns:\n\nCompany Name\nCompany Website URL\nBrightonSEO Event Sponsored (e.g., “April 2025”)\nContact Full Name\nAccurate Job Title\nLinkedIn Profile URL of the Contact"}
{"task_id": "ae8cdc", "area": "Operations", "category": "Convert Formats", "input_text": "I have Excel document. On the second tab of the document, there is a specific section that needs to be “frozen” (like \"freeze pane\") and repeated at the top of each page when converting the Google Sheets document into a PDF.\n\nDetails:\nThe section to be repeated at the top of every PDF page is located on the second tab of the linked Google Sheets file.\n\nThe task includes repeating this section correctly so that upon PDF export, it appears on every page."}
{"task_id": "fb39ca", "area": "Analyst", "category": "Market & Competitive Research Reports", "input_text": "I need help finding publicly available real estate data for countries outside the US that includes recent sale prices of single‑family homes. Other details (rooms, area, new construction) are a plus, but sale prices are essential.\n\nSources can be in any language — just clearly state which country they cover.\n\nPlease provide at least 40 qualified sources, aiming to cover a wide range of countries and regions. Use a spreadsheet with columns for:\n\nSource name\nCountry\nLink\nType of data available\nDate of last update\nAccess method (open site, API, etc.)\nNotes (extra details, limitations, etc.)\nData must be current (ideally updated in the last 12 months) and publicly accessible without violating any terms of service."}
{"task_id": "47eee8", "area": "Operations", "category": "Retrieve PDF / Document / Report Content", "input_text": "Task: Annual Report Financial Data Extraction - Cosmetics & Beauty Segment\n\nCompanies Included: publicly traded cosmetics and beauty companies with publicly available annual reports\n\nAll report links:\n\nL'Oréal - https://www.loreal-finance.com/eng/annual-report \n\nUlta Beauty - https://www.ulta.com/investor/sec-filings/annual-reports \n\nOriflame - https://corporate.oriflame.com/investors/financial-reports/ \n\nCoty Inc. - https://investors.coty.com/financial-information/sec-filings \n\nKey Task Elements:\nYou should extract:\n\nFinancial metrics (revenue, net income, assets, liabilities, R&D expenses, employee count) \n\nBusiness segments and revenue breakdown\n\nYear-over-year growth percentages\n\nGeographic revenue data (if available)\n\nDeliverables:\n\nExcel/Google Sheets with all extracted financial data (4 companies)"}
{"task_id": "5e4372", "area": "Operations", "category": "Validate Contact Info", "input_text": "Task: Validate & Verify Leading SaaS Companies Contact Information\n\nObjective\nVerify and validate contact information for a provided list of leading SaaS companies. Ensure all email addresses and physical addresses are current, accurate, and deliverable.\n\nTask Overview\nAttached spreadsheet containing contact information for  leading SaaS companies. Your task is to verify each contact detail, test email deliverability, confirm active status, and flag any outdated or incorrect information.\n\nTask Type: Contact information verification and validation\nScope: Email addresses and physical addresses for major SaaS platforms\n\nDeliverable: Updated spreadsheet with validation status and notes"}
{"task_id": "d7e4ab", "area": "Sales", "category": "Complete Missing Fields (enrichment)", "input_text": "We have a list of restaurants that currently includes their business name and physical address. We need a detail-oriented freelancer to research and enrich this list by providing verified additional information for each restaurant.\n\nScope of Work:\nFor each restaurant, find and provide:\n\nPhone number\nWebsite URL\nMain business email address (preferably general inquiries or manager/owner contact)\nSocial media profiles (Facebook, Instagram, LinkedIn, TikTok, etc.), if available\n\nRequirements:\n\nProven experience in online research, data enrichment, or lead generation\nAbility to verify that all information is up-to-date and accurate\nStrong attention to detail and good organizational skills\n\nDeliverables:\nUpdated spreadsheet (Excel or CSV) with all required fields completed\n\nEach restaurant entry must include at least a phone number and website; emails and social media links should be provided where possible\n\nAll data must be accurate and ready for immediate use\n\nAdditional Notes:\nData accuracy and reliability take priority over speed."}
{"task_id": "151387", "area": "Operations", "category": "Collect data", "input_text": "Research & Compare AI Presentation Design Services with Customization AI Presentation Tools to Research file is attached. For Each Tool:\n\nPricing\nFree plan details\nPer-user monthly/annual pricing\nTeam/business plan costs\nAvailable Features\nCustom fonts support (Y/N)\nBrand customization options\nAI text/image generation\nExport options (PowerPoint, PDF, etc.)\nPros (According to Users)\nMain advantages reported\nWhat users like most\nEase of use feedback\nCons (According to Users)\nLimitations mentioned\nFeature gaps\nFeatures claimed on website\nExport/compatibility issues\nQuality of Design Output (According to Users)\nTemplate variety\nCustomization limitations\nValue for money\n\n\nDeliverables:\nMain Comparison Spreadsheet\n\nAll  tools with complete data (if you couldn't find information you van leave the field empty)"}