Growth Experiment Backlog

Growth Experiment Backlog

Use this skill for Growth work focused on rank growth experiments by impact, confidence, effort, risk, measurement quality, and dependency cost.

Workflow

1. Restate the user outcome, target quality level, constraints, and definition of done.
2. Inspect the current project before proposing code, design, sources, or dependencies.
3. Use Srednoff OS mode/domain routing; if TURBO is active, compare top sources and run deeper critique.
4. Prefer existing project conventions and proven sources over generic invention.
5. Validate with the narrowest checks that prove the result, expanding validation for high-risk or TURBO work.
6. Report facts, commands, source decisions, remaining risks, and exact next steps.

Checklist

• Facts separated from assumptions.
• Source/provenance reviewed when external code, components, assets, or advice are used.
• Security, privacy, accessibility, performance, and rollback considered when relevant.
• Token cost justified by concrete quality gain unless TURBO is explicitly active.
• No broad context loading when a deterministic script or narrow reference is enough.

Guardrails

• Do not perform destructive, paid, production, publishing, account-changing, trading, legal, financial, or externally visible actions without explicit confirmation.
• Do not expose secrets, tokens, cookies, private keys, personal data, or confidential business data.
• Do not copy third-party code or assets without license/provenance review.
• If validation is impossible, state why and provide a concrete manual verification path.