avoid-feature-creep

To prevent feature creep, define a clear MVP scope document and enforce a decision-log to validate the core problem before adding any new features. This disciplined release process stops scope drift and keeps products focused.

Effective scope management during backlog grooming requires applying decision-framework checks to validate user requests against the MVP scope document. This ensures backlog items deliver real user value and prevents unnecessary feature expansion.

Maintain AI-session discipline by enforcing governance rules that validate AI-assisted development outputs against your MVP scope document. This prevents AI from generating bloated features and keeps the development effort focused on the core problem.

A scope decision log is needed in product management to record every validated request and scope change. It provides a disciplined release process that prevents scope drift and ensures teams avoid unnecessary features.

Yes, you can apply this MVP scoping framework to software, services, and product planning. It guides teams to validate the core problem across various domains, ensuring efforts focus on delivering real user value without scope bloat.

You should not add new features to a minimal viable product when they fail decision-framework checks during backlog grooming. If a request does not address the core problem validated in your scope document, adding it risks scope creep and product bloat.