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This prompt is compatible with all major AI models including ChatGPT (GPT-3.5, GPT-4), Claude (Anthropic), Google Gemini, Perplexity, and other language models. The prompt structure is universal and works across platforms.

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PRODUCT

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Feature prioritization framework

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Prioritize product features using RICE scoring. Methodology: 1. Reach (how many users affected per quarter). 2. Impact (how much it improves user experience, 0.25-3 scale). 3. Confidence (certainty in estimates, 0-100%). 4. Effort (person-months required). Calculate RICE score: (Reach × Impact × Confidence) / Effort. Rank features by score. Include qualitative factors (strategic fit, technical debt). Create prioritization matrix visualization. Involve cross-functional stakeholders in scoring.

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