Onboarding funnel template for the Growth Engineer
Show where users stopped, what they picked, and which code owns the flow—then run one focused onboarding fix.
Product data preview
Signals to agent context
Funnels, instrumentation, and evidence your coding agent can act on.
A template for turning onboarding dropoff, survey answers, paywall journeys, and feedback into Growth Engineer tasks.
Who this is for
Start here if the problem below sounds familiar. You do not need every connector on day one—just enough signal for the Growth Engineer to propose work you can review.
- Multi-step onboarding, surveys, or paywalls
- Teams wanting one activation fix—not generic advice
- Products reviewing feedback and funnel dropoff together
How it works
The loop is the same across guides: connect evidence, let the agent read it, then ship a reviewed task with a verification metric.
- Track screen views, step completion, surveys, paywalls, and purchases.
- Query the largest dropoff by step, segment, or release.
- Add feedback, reviews, crashes, and affected files.
- Ask for one fix, expected metric move, and verification query.
What you get back
The output should be concrete enough to review without opening five dashboards.
- Onboarding and paywall concepts in SDK and docs.
- Combines quantitative and qualitative signals.
- Output can become a GitHub issue with evidence.
Common questions
Quick answers before you connect product data to an agent.
What is the best first onboarding fix?
Target the largest high-intent dropoff with a visible cause in analytics or feedback.
Should survey answers be tracked?
Yes when they change behavior or personalize the flow.
Can the Growth Engineer verify the result?
It proposes the metric and query—humans validate after enough post-release data.