Activation Bottleneck

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Activation Bottleneck

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
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About the author

Co-founder of Prompt Magic and ThinkingDeeply.ai Career Chief Marketing Officer

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