Assessfy Business Functions Lab Advanced 6 milestones 100 marks

Funnel Data Analysis and Retention Strategy for Indian EdTech Platform

Function: Product Management Industry: EdTech Function: Product Management Type: Business-function applied project Team: up to 4 Assessment: 6 milestones (100 marks)

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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About this project

Objective: To identify user drop-off points using funnel analytics and recommend actionable strategies to improve retention in an Indian EdTech product.

Context: Indian EdTech platforms face high user churn, especially as students move from free trials to paid subscriptions. Understanding where users drop off in the product journey is critical to improving retention and revenue.

Approach: The team will analyze anonymized funnel data (sign-ups, trial activations, course completions, payment conversions) using product analytics frameworks. They will segment users, quantify drop-offs, and benchmark against industry standards.

Deliverables: The output includes a detailed funnel analysis, identification of key user segments and drop-off points, root-cause analysis, and a prioritized set of product and communication interventions to improve retention, supported by data visualizations and business impact estimates.

Business Impact: This project will inform product managers and growth teams on where to focus retention initiatives, enabling data-driven decision making to reduce churn and increase lifetime value in a competitive Indian EdTech market.

Milestones

1. Problem Definition & Business Case

10 marks 20d

Define the business problem, scope, and target EdTech product. Submit a business case outlining the need for funnel analysis and retention improvement. Reviewed via faculty feedback and scope approval.

2. Domain Research & Data Gathering

10 marks 18d

Conduct secondary research on EdTech funnel metrics, retention benchmarks, and gather anonymized funnel data (demo/sample/public datasets). Submit research summary and raw data file for verification.

3. Solution Design / Methodology

15 marks 22d

Develop a detailed analytics plan: define funnel stages, user segments, KPIs, and select frameworks (e.g., AARRR). Submit methodology report and review with industry mentor.

4. Build / Analysis & Implementation

30 marks 30d

Execute funnel analysis: segment users, quantify drop-offs, visualize data, and identify critical issues. Submit analytics dashboard and interim findings for faculty and peer review.

5. Validation & Results

25 marks 25d

Validate findings by triangulating with secondary data and expert input. Simulate the impact of proposed interventions. Submit validation report and present to faculty panel.

6. Final Report & Presentation

10 marks 20d

Compile insights, recommendations, business impact, and implementation plan into a professional report and deliver a final presentation to a panel of faculty and industry experts.

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Skills you'll learn

EdTechProduct ManagementProduct analytics and funnel modelingData visualization and storytellingUser segmentation and cohort analysisRoot cause and gap analysisBusiness case developmentStakeholder communicationExcel and SQL data handlingPresentation skills

Tools used

Mixpanel or Google Analytics (demo data)Microsoft Excel or Google SheetsPower BI or TableauSQL or BigQuery (sample datasets)Product analytics frameworks (AARRRHEART)Public EdTech funnel datasets (Kaggle or similar)

Prerequisites

Basic principles of product managementIntroductory statistics and data analysisBusiness communicationFundamentals of marketing or user behavior

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