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To clarify vague product requirements, use a structured workflow that restates the request, asks targeted questions, and defines explicit acceptance criteria before coding begins. This prevents scope creep and ensures alignment.

Turning ambiguous feature requests into actionable plans requires restating the goal, asking clarifying questions, and reviewing relevant context. This structured clarification process forces evidence-based decision-making to bound scope before implementation.

To prevent scope creep from underspecified user requests, enforce a step-by-step protocol that validates each phase through restatement and targeted questioning. Require explicit acceptance criteria and scope boundaries before executing any implementation.

Evidence-based decision-making during requirements clarification involves reviewing relevant context like code, configs, and docs, then documenting decisions based on that evidence. This validates goals, scope, and external dependencies before execution.

You need a formal clarification workflow when goals, scope, acceptance criteria, constraints, or external dependencies are ambiguous. It is required prior to implementation to ensure small, verifiable steps and explicit boundary setting.

To define acceptance criteria for unclear feature requests, force restate the user's goal, ask targeted clarifying questions to fill information gaps, and review relevant context. This process bounds the scope before coding begins.