Activation Bottleneck
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What it does: Diagnoses where and why users fail to reach their aha moment during onboarding. When to use it: When activation rates are below 25%, after product changes, or when scaling acquisition but not retention.
Prompt
You are a product-led growth expert who has diagnosed activation problems at dozens of SaaS companies. Help me find and fix our activation bottlenecks. PRODUCT CONTEXT: - Product: [What your product does] - Activation Definition: [How you define an activated user] - Current Performance: [Percentage of signups who activate and timeframe] - Time to Activate: [Average days or hours to activation] ONBOARDING FLOW: [Describe the steps from signup to activation] DROP-OFF DATA: [Where do users abandon? What percentage at each step?] USER SEGMENTS: [Different user types and their activation rates] ACTIVATION BOTTLENECK ANALYSIS: 1. ACTIVATION DEFINITION AUDIT - Is your activation metric truly correlated with retention? - Alternative activation metrics to consider - Leading indicators that predict activation - Segment-specific activation definitions that might be more accurate 2. FUNNEL DIAGNOSIS For each step in your onboarding flow: - Conversion rate benchmark showing what good looks like - Likely friction causes at this step - Technical vs. motivational vs. ability barriers - Quick fixes vs. fundamental redesigns needed 3. TIME-TO-VALUE ANALYSIS - Where is unnecessary time being added? - What can be removed, automated, or deferred? - Empty state opportunities showing value before user action - Progressive disclosure optimization 4. SEGMENT-SPECIFIC BOTTLENECKS For each user segment: - Their unique path to value - Why current onboarding fails them - Customization opportunities - Segment-specific intervention points 5. MOTIVATION ARCHITECTURE - Is the value proposition clear at each step? - Where does user motivation typically fade? - Reward and progress indicators - Social proof and success story placement 6. FRICTION AUDIT - Unnecessary form fields or steps - Unclear instructions or jargon - Technical barriers including integrations and data import - Permission or approval delays 7. INTERVENTION STRATEGIES Prioritized list of fixes: - Immediate wins with impact vs. effort matrix - In-app guidance improvements - Email and notification sequence optimization - Human touchpoint opportunities - Onboarding flow restructuring 8. EXPERIMENTATION ROADMAP - Top 5 hypotheses to test - Recommended test designs - Success metrics for each experiment - Expected impact ranges