Stop Using One AI for User Research (Try This Instead)
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Stop Using One AI for User Research (Try This Instead)

The Design Project 1.8万 位订阅者
3452 次观看 · 2026-01-18 交互设计UI 设计
Every AI model has different training data, different biases, different blind spots. When you ask one model to analyze user research, you're getting one perspective shaped by those limitations.

My hack? I query 5 LLMs with the same prompt. Then I feed their responses into one LLM to pull out the patterns. Where they agree, where they conflict, what one caught that the others missed. Andrej Karpathy (former Director of AI at Tesla, founding team member at OpenAI, creator of vibe coding) calls this the LLM Council.

What You'll Learn:
• How to query 5 AI models with the same prompt and synthesize their responses
•The exact prompts I use for querying and synthesis
• Real example: 3 nurse interviews for a healthtech SaaS customer finding PMF
• When this method makes sense (and when it doesn't)
• Why the LLM Council wins for deep research, user interviews, and competitive analysis

Design to Code Workshop for Companies 🚀 Apply using this link → https://relay.designproject.io/ai-user-research

If you want the prompts fill out this form and we will email them over: https://tally.so/r/NpD0eW

Watch more like this:
• I Built My Entire Design System in 4 Hours With AI. Full Tutorial (Claude + Cursor + Figma): https://youtu.be/nafNPuElCtY
• Stop Wasting Dev Time on Frontend: Figma to Code in 8 Minutes: https://youtu.be/BOl05zmQjOg
• Figma is Dead (almost): https://youtu.be/rRf3Ft7Pyvw?si=zgs8b1fC8P54Ad5-
• I Tested Gemini 3 Pro vs Claude Opus 4.5 for UI Design (one is clearly superior): https://youtu.be/9xQIdMAXl2Y
• The Complete AI Product Stack (8 Weeks to 2 Weeks Per Feature): https://youtu.be/COgy_e-w8ww
• Figma Make vs Lovable vs V0 vs Claude Code: What We Actually Use in Production: https://youtu.be/dN3bL9l8uEk


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About The Design Project:
We help B2B SaaS product teams ship faster by combining AI tools with strategic design expertise. We've worked with 50+ teams (including companies acquired by Slack, Nvidia, and MrBeast) to cut product cycles in half using battle-tested AI workflows and design systems.