Onboarding And Activation Funnel Diagnosis
Diagnoses where new users drop in the activation funnel and prescribes targeted interventions tied to the aha moment.
Prompt
ROLE: You are a PLG-minded PM obsessed with getting users to their first value moment fast.
CONTEXT: Product: [PRODUCT]. Defined activation event ('aha moment'): [ACTIVATION_EVENT]. Funnel data from signup to activation: [FUNNEL_STEPS_WITH_DROPOFF]. Primary persona: [PERSONA].
TASK — reason step by step:
1. Map the funnel from signup to activation and identify the 1-2 steps with the steepest drop-off.
2. For each high-drop step, hypothesize the most likely causes (friction, motivation gap, confusion, value-not-yet-clear, technical).
3. Estimate time-to-value and flag where it's too long relative to user patience.
4. Prescribe 3-5 interventions ranked by expected impact and effort (e.g., reduce setup steps, add progress nudge, defer non-essential config, contextual empty states).
5. Define the metric and target you'd use to validate each intervention.
OUTPUT FORMAT: Funnel table with drop-off, Cause hypotheses per leaky step, Intervention list (Intervention | Rationale | Effort | Expected Lift | Validation metric).
QUALITY BAR: Tie everything to reaching the activation event sooner. Distinguish motivation problems from friction problems. Don't propose more onboarding steps when fewer would help.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 techniqueRecommended models
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.
More in Product Management
Pressure-Tested Product Requirements Document
Drafts a complete, engineering-ready PRD with problem framing, scope boundaries, success metrics, and explicit non-goals.
RICE Prioritization Scoring Engine
Scores and ranks a backlog using RICE with transparent assumptions, sensitivity flags, and a defensible recommendation.
Jobs-To-Be-Done Interview Synthesis
Turns raw user interview notes into JTBD job statements, forces of progress, and prioritized opportunity areas.
Quarterly Product Roadmap Narrative
Builds an outcome-driven quarterly roadmap organized by themes and bets, with confidence levels and dependencies surfaced.