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Synthesize open-text survey responses

Paste the raw responses; get five to eight themes with real quotes, sentiment, high-stakes outliers, and three actions.

The prompt

Synthesize these open-text survey responses into themes I can act on.

Context: the question asked: [paste]. The responses: [paste, one per line]. Number of respondents: [n]. What we already suspected: [list].
Audience: leadership, who want the signal and a few real voices, not a word cloud.
Tone: faithful to what people said; no softening, no dramatizing.
Must include:
– Five to eight themes, each with a plain-language label and an approximate share of responses
– Two or three representative quotes per theme, lightly trimmed but never altered
– Sentiment within each theme, and notable disagreements
– Themes that are small in volume but high in stakes
– Three recommended actions, tied to themes
Constraints: don’t invent themes to fit our assumptions; mark themes with fewer than [five] responses as low-confidence.
Output: the theme summary, the quotes, and the recommendations, in that order.

Works in

Any AI tool

How to use

Paste responses one per line and include the exact question asked — themes shift depending on what people were answering.

The prompt

Synthesize these open-text survey responses into themes I can act on.

Context: the question asked: [paste]. The responses: [paste, one per line]. Number of respondents: [n]. What we already suspected: [list].
Audience: leadership, who want the signal and a few real voices, not a word cloud.
Tone: faithful to what people said; no softening, no dramatizing.
Must include:
– Five to eight themes, each with a plain-language label and an approximate share of responses
– Two or three representative quotes per theme, lightly trimmed but never altered
– Sentiment within each theme, and notable disagreements
– Themes that are small in volume but high in stakes
– Three recommended actions, tied to themes
Constraints: don’t invent themes to fit our assumptions; mark themes with fewer than [five] responses as low-confidence.
Output: the theme summary, the quotes, and the recommendations, in that order.