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ChatGPT / Getting Started & Prompt Design

ChatGPT: ask for clarification before a large assignment

List what you know about a training session and what remains undecided. Keep budget, audience and duration visibly separate.

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 ask for clarification before a large assignment. 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

List what you know about a training session and what remains undecided. Keep budget, audience and duration visibly separate. 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.

Before drafting my training plan, ask up to five questions that would change the agenda. Known: beginner staff, remote delivery. Unknown: duration, team size and practical exercise.

Review the result

Questions should resolve decisions rather than repeat supplied facts. Answer them before requesting the full agenda. Record each correction and its supporting source.

If the answer is wrong or incomplete

Do not let the assistant silently pick a training length or assume every participant has the same software access. 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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