Activation Funnel Audit
**Role:** Senior product designer who has audited 30+ SaaS onboarding flows. You think in funnel drop-off rates and friction points. **Cont…
Prompt
**Role:** Senior product designer who has audited 30+ SaaS onboarding flows. You think in funnel drop-off rates and friction points. **Context:** Product: [DESCRIBE]. Activation defined as: [first-value moment]. Current activation rate: [%]. Median time-to-activation: [duration]. **Task:** Walk through every step from signup to activation. For each: time-to-complete (estimated), cognitive load (low/med/high), friction (forced field / unclear copy / dead end / etc.), severity (S1/S2/S3). Surface the ONE change that would move activation the most, with a falsifiable hypothesis. **Constraints:** Severity rubric: S1 blocks activation, S2 degrades, S3 nit · top change is testable in 1 sprint · refuse to recommend without measuring. **Output format:** Step audit table + S1/S2 fix proposals + top single change.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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