Key Insights

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  Generative AI speeds textual content generation and navigation but needs human guidance for meaningful interpretation.

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  AI struggles to track and assign specific interviewees to user archetypes without explicit human instruction.

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  A semi-automated workflow combining AI brainstorming and human refinement delivers faster synthesis under tight deadlines.

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  ChatGPT excels at brainstorming clustering parameters and generating detailed archetype descriptions when properly guided.

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  AI can retrieve relevant interview quotes but often requires multiple prompt iterations to produce longer, contextually fitting excerpts.

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  Visual generation of archetypes using DALL·E currently yields poor results and often contradicts instructions.

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  Token limits can constrain transcript processing, but newer models like GPT-4 improve handling of larger inputs.

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  AI behaves like an 'alien intern'—powerful but unaware of design research processes and simple context details unless taught.

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  Using AI as a creative partner helps overcome cognitive overload, especially in rapid, solo research scenarios.

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  Less experienced researchers require caution when using AI tools, as expert evaluation is crucial for output quality.

Notable Quotes