This repository contains my submission for a real-world Product Analyst case study conducted for AbleSpace — a tool designed to help special education professionals manage student caseloads, track goals, and streamline documentation.
The goal of this assignment was to simulate the responsibilities of a product analyst by evaluating key product features, analyzing user journeys, and suggesting data-driven improvements to enhance user engagement and onboarding effectiveness.
- Mapped user flows based on Amplitude-style event data.
- Identified drop-offs and friction points in the onboarding experience.
- Formulated hypotheses around "Time-to-First-Goal" as a key retention metric.
- Analyzed the goal-tracking workflow with a focus on IEP upload behavior.
- Proposed UI/UX enhancements: upload previews, error handling, tooltips, and success feedback.
- Defined KPIs to monitor feature adoption and user success.
- Suggested introduction of a welcome video to improve initial user engagement.
- Recommended responsive help features to reduce confusion during onboarding.
- Emphasized the importance of empathetic UX for educators managing complex needs.
- Product Thinking
- Funnel & KPI Analysis
- UX Research
- Hypothesis-Driven Approach
- Event-Based Data Interpretation (Amplitude-style)
- Empathy-Driven Design Recommendations
- The importance of reducing Time-to-Value in user onboarding.
- How small UX tweaks can significantly impact engagement and retention.
- Thinking like a product analyst means asking why, not just what.
Grateful for the opportunity to contribute to a meaningful EdTech platform like AbleSpace, and for the learning experience through this assignment.
- Final report.
If you're interested in discussing this project or collaborating on similar analytics challenges, feel free to connect with me on LinkedIn.