This project aims to develop a product analytics platform that tracks user interactions, feature usage, and performance metrics. The system enables product teams to make informed decisions using real-time and historical usage insights.
Study product analytics concepts and key product metrics.
Identify user events and feature interaction points.
Design event tracking and data collection mechanisms.
Implement data ingestion and storage pipelines.
Develop dashboards for usage trends and KPIs.
Analyze feature adoption and drop-off patterns.
Implement cohort and funnel analysis techniques.
Test analytics accuracy using simulated user behavior.
Evaluate how insights influence product roadmap decisions.
Ensure data privacy and anonymization controls.
Document analytics findings and improvement opportunities.
