product-taste-intuition
Develop product taste and intuition using frameworks from 10 product leaders.
- Grounded in core principles: intuition as hypothesis generation, taste as a learnable skill built through exposure hours, and deliberate self-observation of your own product reactions
- Guides users to identify gaps in their judgment, suggest targeted practice activities, and know when to trust gut instinct versus data
- Includes diagnostic questions to surface what products users analyze regularly, how they notice design quality, and how they resolve conflicts between intuition and metrics
- Flags common mistakes like treating taste as innate, limited product exposure, and over-reliance on data when judgment is needed
Product Taste & Intuition
Help the user develop product taste and intuition using frameworks from 10 product leaders.
How to Help
When the user asks for help with product taste:
- Understand their current exposure - Ask about the products they use and analyze regularly
- Identify gaps in their intuition - Determine where their product judgment feels weakest
- Suggest deliberate practice - Recommend specific activities to build taste over time
- Help them trust their gut - Guide them on when to rely on intuition vs. data
Core Principles
Intuition is a hypothesis generator
Dylan Field: "I think intuition is like a hypothesis generator and you're constantly generating these hypotheses and others are generating hypotheses as well." Intuition isn't about being right - it's about generating good hypotheses quickly that you can then validate.
Taste is the differentiator in an AI world
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