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Analyse the following qualitative data and identify key themes: Data type: [interview transcripts / open survey responses / customer feedback / social listening / support tickets] Research question: [what were you trying to understand?] Number of responses / participants: [approximate] [Paste your qualitative data here — or describe it if you want a framework instead] Analysis approach: 1. Initial coding: identify all distinct ideas, experiences, or sentiments mentioned 2. Pattern recognition: group codes into emerging patterns 3. Theme development: name 4–8 themes that capture the patterns 4. For each theme: - Theme name and 1-sentence description - Frequency: how often it appeared (common / occasional / rare) - Representative quotes: 2–3 verbatim examples - Nuance: any contradictions or subthemes within this theme 5. Insight synthesis: what do these themes mean for the research question? 6. Confidence level: how confident are you in each theme given the data? 7. What's missing: what would you need more data to confirm? Deliver findings as an insight report, not just a list of themes.
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- 2Open your AI tool (ChatGPT, Claude, Midjourney, etc.)
- 3Paste and customize any variables in the prompt.
- 4Generate your result.