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Evidence-based product feature ideation uses repository artifacts and audience signals to generate structured feature cards, ensuring proposed features carry strategic rationale, defined user outcomes, and confidence levels without unnecessary duplication.

Evidence-based feature ideation is a process that grounds product feature generation in real repository artifacts and audience signals, ensuring every proposed feature aligns with strategic objectives and avoids unnecessary duplication.

You create a feature card by extracting repository evidence and audience insights, then structuring them into a card that details the strategic rationale, expected user outcome, and a confidence level for the proposed product feature.

Yes, you can use repository artifacts to prevent feature duplication by cross-referencing existing evidence and audience signals, ensuring newly ideated product features provide unique strategic value rather than overlapping with current capabilities.

Audience signals influence strategic alignment by providing direct user context that grounds feature curation, ensuring generated feature cards target actual user needs and maintain high strategic value within the product development workflow.

You should avoid generating new product features when repository evidence indicates existing capabilities already cover the audience signals, or when proposed features lack clear strategic rationale and would introduce unnecessary duplication.