Create The Product Feature Adoption Cohort Explorer, an interactive analytics workspace for understanding how different groups of users discover and continue using a product feature.
Allow users to import anonymized event data containing user IDs, event timestamps, feature names, signup dates, and relevant plan or account attributes.
The tool should:
Define cohorts by signup period, first feature use, plan, or other available attributes.
Calculate feature activation and repeat usage over configurable intervals.
Compare time-to-first-use across cohorts.
Distinguish initial adoption from sustained engagement.
Identify features that attract many first-time users but have weak repeat usage.
Compare adoption before and after a product change without automatically attributing differences to that change.
Display retention curves, cohort tables, and feature-level summaries.
Generate hypotheses for further investigation and suggest measurable experiments.
Export the analysis and data-quality checks.
Include a synthetic SaaS dataset with several features and user cohorts. Handle missing events and incomplete observation windows explicitly. Avoid presenting correlation as causation, and make every metric definition visible and editable.
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