avoid-feature-creep

Prevent feature creep by enforcing a concise MVP scope through structured scope definition and disciplined decision logging. This framework validates problem alignment, impact, and complexity to defend scope boundaries and ensure focused product outcomes.

Evaluate feature requests using a decision framework that validates problem statements, MVP alignment, impact, and complexity. Apply the 48-hour rule and version-control style approvals during backlog grooming to maintain hygiene and prevent scope drift.

Manage AI agent suggestions by logging them and applying rigorous decision logs to avoid drift. This governance enforces scope management rules during AI-assisted development, ensuring agent outputs align with defined MVP goals and acceptance criteria.

Create a scope decision log by documenting the feature's problem statement, MVP scope, risks, and acceptance criteria. This captures a concise scope decision that validates alignment and complexity, ensuring disciplined prioritization from discovery to release.

Use budget-based scoping during backlog grooming to enforce disciplined prioritization and prevent unnecessary complexity. This approach applies scope management rules to ensure faster delivery and focused product outcomes within defined resource constraints.