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Chapter 1 of 6STAR, CAR and PAR: Stories, Case Studies and CV Bullets
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A story structure everyone knows

This lesson explains what a prompt framework is and introduces STAR, the four slot story shape used for interviews, case studies, incident reports and achievements, plus its shorter cousins CAR and PAR.

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  • A prompt is the request you type into an AI tool such as ChatGPT, Claude or Gemini. A prompt framework is a reusable structure for that request, usually a short checklist of parts named with an acronym so it is easy to remember.
  • Frameworks matter because the AI fills in whatever you leave out with generic guesses. Including who the answer is for, what you want to achieve and the format you need is what changes the output.
  • Frameworks make prompts repeatable. You fill the same parts each time, save the prompt as a template and share it with colleagues instead of retyping from memory.
  • Frameworks are not magic words. The value comes from the detail you put in each part. They help most when a request is complex or open to interpretation, while a quick simple question can stay short.
  • There are well over sixty named frameworks and most remix the same ingredients: role, task, context, audience, format, constraints and examples. STAR is one of them, and it is a fill-in-the-slots framework where each letter stands for one part of your prompt.
  • STAR comes from behavioural interviewing, where it structures answers to tell me about a time when. The same shape makes AI write clear case studies, incident reports and achievements. CAR (Context, Action, Result) and PAR (Problem, Action, Result) are shorter cousins for short formats.
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