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ChatGPT / Getting Started & Prompt Design

ChatGPT: evaluate a response against a small rubric

Define three observable criteria before generating a draft: factual coverage, audience fit and an actionable next step.

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 evaluate a response against a small rubric. 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

Define three observable criteria before generating a draft: factual coverage, audience fit and an actionable next step. 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.

Score this service announcement against the rubric below. Quote the sentence supporting each score, identify one missing fact and suggest a targeted revision. Do not rewrite the whole announcement.

Review the result

Check each quoted sentence exists and each score uses the supplied criterion rather than a new preference. Record each correction and its supporting source.

If the answer is wrong or incomplete

An assistant reviewing its own draft may miss the same error twice. Include at least one independent human check. 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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