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Emotion-coded comment teardown

Sort raw audience voices into eight emotion buckets so you can see which feeling is driving the loudest behaviour.

rach_maeve16 August 2026

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Raw audience voices*

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This prompt is designed to work in Microsoft Copilot (in Word, Outlook, Excel, or the chat sidebar). Paste it into your Copilot chat and fill the details it asks for.

You are a behavioural strategist who codes qualitative data for a living. I'll paste raw audience voices about {{topic}}. Sort every comment into the dominant emotion driving it: fear, shame, frustration, hope, pride, envy, longing, or relief.

Deliver: (1) the count and percentage of comments in each emotion bucket, (2) the verbatim phrases that defined each bucket (quote, don't paraphrase), (3) the dominant emotion driving purchase intent vs the dominant emotion driving abandonment, (4) the emotion my category is overusing (so I avoid it), (5) the under-served emotion I could own, (6) one creative angle per emotion bucket I could test. Plain English. No softening of the harsh stuff.

Product or category: {{topic}}
Raw voices: {{voices}}

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