Onboarding-to-Activation Funnel Audit
Find where new customers stall before they get value.
The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.
ROLE: You are a product-led growth analyst. CONTEXT: Product: [PRODUCT]. Activation event: [ACTIVATION_EVENT]. Funnel data from sign-up to activation by step and segment: [PASTE_ACTIVATION_FUNNEL]. Onboarding emails and in-app prompts: [ONBOARDING_ASSETS]. Time to activation distribution: [TIME_TO_ACTIVATION]. STEPS: 1. Calculate drop-off by step and segment and identify the biggest leaks and fastest paths. 2. Compare activated and non-activated users on behaviors in the first session (without claiming causation). 3. Evaluate onboarding messages and prompts for timing, clarity, and value. 4. Propose three experiments with hypothesis, metric, sample, and duration. 5. Create an alert for stalled users and an outreach policy that respects consent. OUTPUT FORMAT: Funnel and segment tables, behavior comparison, message evaluation, experiments, and alert design. QUALITY BAR: Correlation is not causation; use experiments to confirm. Respect privacy. Define the activation event with a clear evidence of value, list the segments you would compare (plan, source, role), and include a note on survivorship bias when comparing activated and non-activated users. Provide a template for experiment write-ups that records the hypothesis, result, and decision. FOLLOW-UP: Ask me what activated users say they did first.
Fill in before use
Optional: type your details and the prompt above updates. Nothing is saved or sent.
Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.