avoid-feature-creep

Preventing feature creep during MVP definition requires a disciplined framework to validate requests against problem validity, alignment, impact, and complexity. This approach enforces structured scope management and maintains a scope decision log to capture trade-offs.

Managing stakeholder requests to avoid scope drift involves applying a structured five-step decision process for go/no-go validation. It uses specific governance guidelines and backlog hygiene rules to keep product strategy focused on delivering real value.

Vetting feature requests during backlog grooming sessions requires applying structured rules to evaluate problem validity, strategic alignment, impact, and complexity. This ensures backlog hygiene by pruning invalid items and documenting scope decisions in an audit log.

Yes, you can use a structured decision framework to manage scope in AI-assisted development. It provides specific governance guidelines to vet AI-generated requests and prevent scope drift during AI planning sessions.

When a product backlog becomes bloated with low-impact features, you should apply backlog hygiene rules and recovery steps. This involves pruning invalid items and maintaining a lightweight decision log to document scope changes and trade-offs.