GDPR-friendly Growth Engineer template
Privacy-first agent growth: explicit events, scoped outputs, tenant duties, and human-reviewed decisions.
Product data preview
Signals to agent context
Funnels, instrumentation, and evidence your coding agent can act on.
A privacy-aware Growth Engineer workflow for explicit events, consent-aware setup, scoped analytics, and human-reviewed output.
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.
- EU teams using analytics in agent workflows
- Products preferring explicit events
- Founders documenting privacy before scaling
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.
- Confirm the taxonomy only collects what you need.
- Use consent-aware SDK init where required.
- Scope exports and prompts to the question.
- Review agent output before issues, PRs, or notifications.
What you get back
The output should be concrete enough to review without opening five dashboards.
- Explicit ingestion—no screen recording.
- Event data and backups in Germany.
- Public tenant GDPR/DSGVO guidance.
Common questions
Quick answers before you connect product data to an agent.
Does this guarantee GDPR compliance?
No—compliance depends on your product, notices, basis, schema, and vendors. Not legal advice.
What should the Growth Engineer not receive?
Skip unnecessary PII, secrets, private content, and oversized exports.
Why use explicit events?
Easier to review, document, minimize, and explain than hidden capture.