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ChatGPT / Documents, Data & Research

ChatGPT: summarize survey comments without hiding minority views

Remove personal identifiers and provide the exact response count. Decide how to treat multiple themes in one comment.

Compiled for Sorlavit Kim · Published · Updated · 2 min read

Environment and inputs: ChatGPT user guide · Feature and source access depend on the active account, app and organization settings. Optional file or app steps have a text-excerpt fallback. No fixed model version, price or usage quota is assumed.

What you will make

A practical ChatGPT guide to summarize survey comments without hiding minority views. Use the sample input and prompt, then check the result. Use a fictional small-office IT team as the practice setting. Keep the approved facts in a clearly labeled source block.

Prepare the source and scope

Remove personal identifiers and provide the exact response count. Decide how to treat multiple themes in one comment. Open the ChatGPT app or website and start a focused conversation for this exercise.

Try this prompt

In ChatGPT, provide the prepared input, then send the following request. For real work, replace fictional details with approved facts.

Group these comments into themes. Show response IDs for each theme, allow multiple themes per response, and preserve a section for uncommon but important concerns.

Review the result

Spot-check theme membership and calculate counts from IDs rather than trusting a generated percentage. Record each correction and its supporting source.

If the answer is wrong or incomplete

Theme totals can exceed the number of respondents when categories overlap. Explain the counting rule before sharing results. For recurring work, keep the active source list with the project brief; for a one-off task, supply just the relevant excerpt.

Practice and completion check

Repeat with one incomplete input. Check the answer against the review criteria, remove unsupported claims and save the prompt with its source version. This workflow has not been verified in a customer deployment.

Source & further reading

OpenAI — Prompting

Independently written summary reviewed on 2026-11-01. The example illustrates a possible application; it is not a client case study.

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