Use AI to explore scope, feedback, and product decisions
The prompts guide an AI assistant through specific planning tasks, beginning with the core problem and essential features. Prioritization requests use established frameworks, while later prompts examine feedback channels, analysis systems, and implementation workflows. The input structure encourages readers to provide details about their own product.
The collection treats generated responses as starting points for critical thinking and refinement, supporting a continuing product-learning process.
What you’ll find inside
- Idea clarification and MVP definition
- MoSCoW, Kano, and user-story prompts
- Prototype and testing questions
- Feedback collection and analysis systems
- Iteration workflows and review triggers





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