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Examples for Activation Metric Discovery Framework

Explore real-world examples showing how this skill works with different inputs and outputs.

Aggregate Data Analysis: Feature Usage Activation

Analysis of 500 users tracked by features_used, days_active, and shared_content. Identifies 'Use 6+ features in first week' as primary metric with composite scoring formula.

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Event-Level Analysis: Task Completion Activation

Full activation metric analysis for 250 users with signup, task_completion, and invite events. Identifies 'Complete 3+ tasks in 7 days' as primary metric with 0.91 correlation.

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Event Tracking Recommendations for Productivity App

Generates hypothesis framework for a productivity app with 150 users, providing recommended events to track, expected correlations, and data collection templates before full analysis.

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