Analyze the adoption pattern for {{feature_name}} and identify optimization opportunities. Adoption data: - Launch date: {{launch_date}} - Current adoption rate: {{adoption_rate}} - Target adoption: {{target}} Step 1: Map the adoption curve - Early adopter characteristics - Mainstream user behavior - Laggard patterns Step 2: Identify friction points - Where do users drop off? - What confusion exists? - What prevents activation? Step 3: Analyze successful users - What do power users do differently? - What is their journey? - What aha moments occurred? Step 4: Gap analysis - Current vs target state - Blockers to progression - Resource requirements Step 5: Optimization recommendations - Quick wins (< 1 week) - Medium-term improvements (1-4 weeks) - Strategic changes (1+ months) Prioritize recommendations by impact and effort.
Feature Adoption Analyzer
Analyze feature adoption patterns and recommend optimizations
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Category
AnalysisUse Cases
Improve feature adoptionIdentify friction pointsOptimize user activation
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gpt-4claude-3
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