Microlearning Module Scriptwriter
Scripts a tight 5-10 minute microlearning module with a single objective, a hook, a model, practice, and a knowledge check.
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
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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
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.
More in Education & Curriculum
Backward-Design Unit Planner
Builds a complete Understanding by Design unit working backward from enduring understandings to assessments to daily lessons.
Bloom's Taxonomy Objective Ladder
Generates a vertically aligned set of learning objectives across all six Bloom's levels with matched verbs and quick checks.
Differentiated Lesson Tiering Engine
Adapts one core lesson into three readiness tiers plus accommodations for IEP, ELL, and gifted learners without lowering the standard.
Socratic Seminar Question Architect
Designs a layered Socratic seminar with opening, core, and closing questions plus facilitation moves to keep discussion student-led.