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Coles AI for UX Researchers: Summarize user interviews and find patterns without losing context at Bayshore Shopping Centre in Ottawa, ON
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User interviews contain valuable insights, but turning hours of conversations into clear, trustworthy findings can be overwhelming. AI for UX Researchers: Interviews to Insights shows you how to use AI and ChatGPT thoughtfully to summarize interviews, identify patterns, and move from raw conversation to actionable UX research insights-without losing the context behind what participants said.Maya Ellison offers a practical, grounded guide for UX researchers, product designers, and research teams who want to make qualitative analysis more efficient while keeping human judgment at the center. You'll learn how to prepare interview data for reliable AI analysis, create summaries that preserve the participant's story, compare perspectives across multiple interviews, and distinguish meaningful signals from assumptions or misleading patterns.The book also explains how to turn research themes into useful recommendations and build a repeatable AI research workflow you can adapt to your projects. The introduction establishes the principles for responsible, context-aware analysis, the focused chapters walk through each stage of the process, and the conclusion helps you apply the workflow with confidence.Whether you are new to AI-assisted UX research or refining an existing practice, this concise guide provides practical methods for better interview analysis and clearer research outcomes.
User interviews contain valuable insights, but turning hours of conversations into clear, trustworthy findings can be overwhelming. AI for UX Researchers: Interviews to Insights shows you how to use AI and ChatGPT thoughtfully to summarize interviews, identify patterns, and move from raw conversation to actionable UX research insights-without losing the context behind what participants said.Maya Ellison offers a practical, grounded guide for UX researchers, product designers, and research teams who want to make qualitative analysis more efficient while keeping human judgment at the center. You'll learn how to prepare interview data for reliable AI analysis, create summaries that preserve the participant's story, compare perspectives across multiple interviews, and distinguish meaningful signals from assumptions or misleading patterns.The book also explains how to turn research themes into useful recommendations and build a repeatable AI research workflow you can adapt to your projects. The introduction establishes the principles for responsible, context-aware analysis, the focused chapters walk through each stage of the process, and the conclusion helps you apply the workflow with confidence.Whether you are new to AI-assisted UX research or refining an existing practice, this concise guide provides practical methods for better interview analysis and clearer research outcomes.
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