NN/g UX Podcast 50. Responsible AI Use for Research Analysis (feat. Alexander Knoll, Co-Founder of Condens.io)
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May 23, 2025 Alexander Knoll, co-founder of Condens.io, explores the fine line between AI and human expertise in UX research. He shares his journey from finance to UX, emphasizing the need for a balanced approach that combines AI insights with human intuition. The conversation highlights how AI can enhance qualitative data analysis while underscoring its limitations and biases. Knoll also discusses the importance of establishing a research repository for effective insights and encourages continuous learning and adaptation in the evolving landscape of user research.
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AI as an Assistant, Not a Replacement
- AI should assist with specific, scoped subtasks in the research process.
- Human oversight remains crucial to verify and correct AI output due to AI's limitations like hallucinations.
AI Needs Context to Perform
- AI lacks the deep context humans naturally use in analysis, like organizational goals.
- Tasks needing extensive context or large datasets are unsuitable for AI and better handled by humans.
Keep Human Thinking Central
- Don't outsource critical thinking and understanding to AI despite its convenience.
- Rely on your expertise to ensure research quality and meaningful insights beyond speed.