avoid-feature-creep

Preventing feature creep during MVP planning requires enforcing disciplined scope management by applying a validation, alignment, impact, and complexity framework to categorize tasks as in-scope or out-of-scope. Logging these scope decisions maintains traceable prioritization and prevents backlog bloat.

The 48-hour rule for backlog grooming is a scope-management hygiene practice that enforces a mandatory waiting period before adding new requests. It ensures teams validate alignment, apply MoSCoW-like prioritization, and log decisions to defer or remove features, preventing impulsive scope expansion.

Managing scope when AI assistants suggest features requires applying governance rules that validate alignment, impact, and complexity before approval. Logging every AI-assisted scope decision maintains audit trails and ensures AI collaboration delivers value without causing uncontrolled feature creep.

Yes, you can use MoSCoW-like prioritization for release planning and backlog grooming to enforce scope discipline. It categorizes features by alignment and impact, helping teams decide what to defer, remove, or sunset while maintaining a traceable Scope Decision Log for audit purposes.

The best way to log scope decisions is by maintaining a structured Scope Decision Log that records validation, alignment, impact, and complexity assessments. This creates an audit trail during backlog grooming and release planning, ensuring traceable decisions for what features to defer, remove, or sunset.