[DMP 2025]: Experiment Dashboard & Reporting Enhancements

[tanishk2907]

Ticket Contents

Description

Project Context
To help users engage meaningfully with their experiments, it’s essential they understand not just the setup but what worked, what didn’t, and by how much. Users should be able to determine:

• If their experiment has reached a steady state
• Whether key learnings have emerged
• When it's appropriate to conclude or iterate on an experiment

Current Gaps

• There is no central dashboard for users to monitor and compare experiments
• The existing experiment details page lacks advanced visualizations and decision-support indicators

Feature Requirement
This project aims to build a set of enhanced reporting and visualization tools that:

• Provide a unified dashboard to track all experiments
• Extend the current details page with deeper insights, charts, and tables
• Allow filtering and slicing of experiment data based on user needs
• Help users make confident, data-informed decisions about ongoing or concluded experiments

Goals & Mid-Point Milestone

Goals

• Build a centralized dashboard to view and filter all experiments in one place
• Enhance the experiment details page with new charts, metrics, and decision cues
• Help users identify when to stop or iterate based on steady-state indicators
• Present clear visual summaries like lift, confidence intervals, and trends
• Ensure results are easy to interpret, share, and export

Setup/Installation

NA

Expected Outcome

A unified dashboard that allows users to track all active and completed experiments

Richer detail pages that guide users through interpreting results and key takeaways

Clear decision points for stopping or adapting experiments

Better user retention through visibility and actionable insights

Clean and documented implementation ready for partner demonstrations

Acceptance Criteria

✅ Dashboard lists all experiments with filters (status, date, metric)
✅ Details page contains at least 2 new visualizations and 1 summary table
✅ Key metrics such as effect size, confidence intervals, and steady-state status are shown
✅ Export functionality available (PDF, CSV, or snapshot)
✅ All code is tested and documented
✅ Feedback gathered from users and used for one iteration of refinement

Implementation Details

Frontend: React / Next.js

Backend: Node.js / Python + analytics pipelines

Visualization: Chart.js, Plotly, or D3

Design: Initial design to be done in Figma

Testing: Unit + Integration tests

Docs: README + optional blogpost for partner outreach

Mockups/Wireframes

To be created with ID Insight team

Product Name

Unified dashboard for experiments

Organisation Name

IDInsight

Domain

Research

Tech Skills Needed

React, Charting Libraries, UX Design, Analytics

Mentor(s)

@sidravi1

Category

Analytics

[traitor09]

Hello @tanishk2907 ,

I'm Divyanshi Pathak,

• an undergraduate developer confident in contributing to the Experiment Dashboard Project for DMP 2025

My experience includes:

• building data-driven dashboards in React + TypeScript with sortable, filterable tables (custom-built, not just library wrappers), including pagination, search, and session-state syncing.
• I’ve worked on modular UI layouts using tab-based navigation and reusable shell structures like headers, sidebars, and nested views.
• For state management, I’ve used both Zustand and the Context API to set up structured, testable stores — especially for filters, pagination, and view logic.
• I keep my codebase clean and consistent with ESLint + Prettier, and use Husky hooks to enforce formatting at commit time.
• On the API side, I follow robust integration patterns with axios or fetch, including centralized error handling, skeleton states, and fallbacks.
• I also structure components using atomic design and write integration-level tests with React Testing Library and Jest to ensure reliability.

Each of these comes from projects I've independently built and maintained. Currently I'M building a prototype and eager to contribute meaningfully to this project ;
Open to any guidance, suggestions, or feedback as I move forward.

[ChayanDass]

interested

[varshitha-besthu]

I'm Interested

[varshitha-besthu]

I'm Interested
where is the codebase??

[Atikrg]

Interested

[w3cdpass]

I am ready!

[w3cdpass]

@tanishk2907 i have gone through the problem & feel that I have the required Skillset to contribute. Can I work in this?

• Dashboard lists all experiments with filters (status, date, metric)
  ? where i can send proposal that i have created ?

[dhaarypravi]

interested

[chagdrashti]

I will contribute my best efforts to this project and ensure that my work adds value to its success

[rohansaini-02]

Hi @sidravi1

I'm Rohan Saini, and I'm keen to contribute to this project and support its progress toward a production-ready state. I’d appreciate it if you could point me to any key issues or tasks that I should prioritize at this stage.
Any insights from you or other contributors would be truly helpful. Looking forward to your guidance.

Thank you!

[shalinipalla005]

I went through the ticket contents for the Unified Dashboard for Experiments project and found it extremely exciting and aligned with my interests and skills! I am very interested in contributing to this project.

I have previously built a project named ResearchX, where I developed a platform to track research experiments, display detailed reports, and provide visual insights using React and Node.js. You can find the project repository here: ResearchX - GitHub Repository.

Working on ResearchX gave me solid experience in building dashboards, working with analytics pipelines, designing user-friendly visualizations, and ensuring a clean, modular codebase with proper documentation.

Given this background, I believe I can meaningfully contribute to building the centralized dashboard, enhancing experiment detail pages, and creating intuitive visualizations and decision-support indicators for your project.

I am very excited about the opportunity to work alongside the team and would love to take this forward! Please let me know how I can get started.

Thank you for considering my application!

[ankitsingh2105]

I came across the Unified Dashboard for the Experiments project, and it sounds extremely exciting and aligns with my interests! I’m very eager to contribute.

I'm passionate about building dashboards, working with data, and creating clean, user-friendly visualisations. I would love to participate in this project and grow while contributing meaningfully.

Please let me know how I can get started!

Thank you for considering my application!

[Mohammedrasheed1453]

hello @tanishk2907

I came across your project on building a Unified Dashboard for Experiments, and i am truly excited about the vision you have provided. The aim on making experimental outcomes clearer , actionable and decision-driven matches strongly with me.

With my background in React , data visualization libraries like Chart.js and plotly and backend development using Node.js and python , i believe that i am well equipped to contribute in this project .
I have also an experience doing some related project to this where the application gives the opportunity to the users to store their Income and expenses and it can be visualized using charts which helps them to finally understand that how much they are spending monthly so that it helps them to increase their savings by not wasting money on other stuffs. https://github.com/Mohammedrasheed1453/income-expense-tracker/tree/main

Given this background , I'm confident that i can contribute effectively to your goals .
I would love the opportunity to collaborate with you in this project.

Looking forward to hearing from you
Best regards
Shaik Mohammed Rasheed

[Ananyajain2004]

I'm interested