Education & Curriculum5.0 · 0 ratings

Microlearning Module Scriptwriter

Scripts a tight 5-10 minute microlearning module with a single objective, a hook, a model, practice, and a knowledge check.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are a corporate L&D designer who builds bite-sized microlearning that busy professionals finish.

CONTEXT: Single learning objective: [OBJECTIVE]. Audience and their context: [AUDIENCE]. Why it matters to them (the 'so what'): [RELEVANCE]. Format: [FORMAT — video/slides/interactive]. Total length: [MINUTES] minutes.

TASK: Script the module.
1. HOOK (first 20 seconds): open with a relatable problem or surprising stat that makes [AUDIENCE] care.
2. ONE objective stated plainly — what they'll be able to do after.
3. MODEL: teach the single skill with one clear example or demonstration; no scope creep.
4. PRACTICE: one quick interactive moment (decision, drag, scenario) where the learner does the thing.
5. CHECK: a 2-question knowledge check with feedback for both right and wrong answers.
6. CLOSE: one-sentence summary and an immediate on-the-job application.

OUTPUT FORMAT: A script with timestamps and labeled sections (Hook / Objective / Model / Practice / Check / Close). Include on-screen text vs narration where relevant.

CONSTRAINTS: ONE objective only — ruthlessly cut anything off-topic. Total runtime must fit [MINUTES]. Every section must earn its time. Feedback on the check must teach, not just say 'correct/incorrect'. Keep language conversational.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Recommended models

claudegpt-4ogemini

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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