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Henry Harboe
@hh
Anyone seen great 2024 case studies on how teams are using AI to generate personas from interview transcripts?
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Henry Harboe
@hh
I would love to be able to 1. Upload interview transcripts (w/ highlights and tags if necessary) 2. Accept/reject AI-proposed persona dimensions 3. Accept/reject AI-proposed persona details (goals, challenges, expectations, delighters, etc.) And at each accept/reject step, I'd love to see quotes the AI selected as evidence to generate that proposal, plus a list of quotes ranked by their relevance to the dimension/detail in question, but were ultimately ignored. The dream would be a nice UI that lets me make adjustments along the way and not lose track. Anyone done something similar to this? I can't get very far with Claude/GPT today
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manansh ❄️
@manansh
Haven’t seen any case studies!!! The problem is that LLMs don’t really reason. They do prediction. So extracting novel, different insights from a dataset and turning them into robust personas isn’t what its designed to do. I think that might change once we create the first AI system that does its own AI research, because then, it’s really quite trivial to get it to do user research.
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