avoid-feature-creep

To prevent feature creep during MVP definition, validate user pain points, align features with your core vision, assess complexity, and force explicit trade-off decisions on what to cut. This keeps product planning anchored to real user problems and release goals.

The best way to manage stakeholder feature requests is to evaluate them against validated user value, impact, and complexity. Require explicit trade-off decisions, forcing stakeholders to defer or remove existing backlog items when adding new scope.

Review your product backlog by measuring each item's impact on user pain points and assessing its complexity. Ensure every backlog item aligns with your core vision and requires a clear trade-off decision to maintain a focused release scope.

Yes, you can apply scope management to AI workflows by enforcing session discipline. Validate that AI assistant outputs solve specific user problems and explicitly instruct the AI to avoid expanding scope beyond the defined product plan.

You should force explicit trade-off decisions whenever a new feature is proposed during software product development. Evaluate the request's impact and complexity, then decide what existing scope must be deferred or removed to keep the release focused.

Yes, this scope management approach works for AI product planning by applying the same validation of user pain points, impact measurement, and complexity assessment to AI feature requests, ensuring AI workflows remain disciplined and aligned with the core vision.