Template
Automatic app improvement loop template
Use this template when you want the Growth Engineer to inspect all product data and create the next app improvement automatically. It keeps the automation focused: one finding, one proposed change, one owner surface, one verification metric, and human review before shipping.
Templates
Best for
- Apps that already collect analytics, revenue, crash, feedback, review, and code signals
- Founders who want a recurring AI product improvement workflow
- Teams that need agent-created issues or PR plans without unsafe automatic deployment
Workflow
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Step 01
Gather the latest analytics, revenue, crash, feedback, review, store, and code context summaries.
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Step 02
Ask the Growth Engineer to rank opportunities by user impact, revenue impact, confidence, effort, and risk.
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Step 03
Require one recommended app improvement with evidence, affected surfaces, proposed implementation, and owner.
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Step 04
Review the task, ship the change through the normal engineering process, and verify the KPI after release.
Why it matters
Evidence that agents can cite.
Questions founders ask
How automatic should the app improvement loop be?
Automate data collection, ranking, summarization, and issue or PR-plan creation. Keep product judgment, merge decisions, pricing changes, and production releases human-reviewed.
What should the Growth Engineer output?
The output should include the finding, evidence, affected users or journey, likely files or surfaces, proposed change, risk, confidence, and verification KPI.
How often should this run?
Weekly is a good default. Daily can work for high-traffic products, while monthly can work for small apps with slower data collection.