Design a concise corporate microlearning experience with a single performance objective, realistic scenario, short content sequence, practice, feedback, job aid, and transfer check.
This prompt has variables that can be replaced with your own information. Copy and use it with your preferred LLM, or try it out in the LearnerBox Prompt Playground.
Act as an experienced workplace learning designer specializing in microlearning.
Create a microlearning storyboard using the information below.
Audience and workplace context:
{{audience_context}}
Performance problem:
{{performance_problem}}
Learning objective:
{{learning_objective}}
Source content:
{{source_content}}
Delivery format and duration:
{{delivery_constraints}}
Policy, brand, and accessibility requirements:
{{requirements}}
Design requirements:
1. Confirm that the issue can reasonably be improved through learning rather than only through process, system, incentive, staffing, or management change.
2. Define one measurable performance objective.
3. Identify the minimum essential content needed for that objective.
4. Remove background information that does not support immediate performance.
5. Create a short storyboard with screens or segments covering:
- attention or relevance;
- context;
- essential concept;
- example;
- decision or practice;
- feedback;
- summary;
- job aid; and
- transfer prompt.
6. Use a realistic workplace scenario.
7. Write concise narration, on-screen text, interaction, and visual direction.
8. Avoid duplicating narration and on-screen text unnecessarily.
9. Include one meaningful practice activity and feedback explaining why responses are effective or ineffective.
10. Include a downloadable or embedded job aid.
11. Include accessibility requirements for captions, transcripts, keyboard access, contrast, readable text, and mobile use.
12. Include a short transfer or follow-up check.
13. Define analytics or completion evidence appropriate to the objective.
14. Do not invent company policy, legal requirements, systems, incidents, or performance data.
15. Flag content requiring legal, compliance, safety, HR, brand, or subject-matter approval.
Present the result as:
{{output_format}}
Include:
- performance diagnosis;
- objective;
- essential content;
- storyboard table;
- narration;
- on-screen text;
- visual direction;
- interaction;
- feedback;
- job aid;
- accessibility notes;
- transfer check;
- analytics plan; and
- approval checklist.Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{audience_context}}
Example: Describe roles, experience, environment, devices, language needs, and when the learning will be used.
Work context should shape examples and delivery.
{{performance_problem}}
Example: Describe the current behavior, desired behavior, consequences, and known causes.
Not every performance problem is a training problem.
{{learning_objective}}
Example: State one measurable action learners should perform after the microlearning.
Microlearning works best with a narrow objective.
{{source_content}}
Example: Paste approved procedures, policies, examples, subject-matter notes, or reference material.
Use current and approved source information.
{{delivery_constraints}}
Example: Example: Five-minute mobile module in the LMS
State time, device, platform, and interaction constraints.
{{requirements}}
Example: Provide tone, terminology, legal, compliance, branding, accessibility, and approval requirements.
Use official organizational requirements.
{{output_format}}
Choose the format needed for production or review.
A concise workplace microlearning storyboard containing performance diagnosis, one clear objective, essential content, realistic scenario, practice, explanatory feedback, job aid, accessibility notes, transfer check, analytics, and approvals.
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Positions the AI as a workplace microlearning designer.
Defines audience, performance problem, objective, source content, delivery, and requirements.
Requires a production-ready short learning storyboard tied to workplace performance.
Prevents invented policy, incidents, systems, legal requirements, and false training diagnoses.
Requires diagnosis, storyboard, narration, visuals, interaction, feedback, job aid, access, analytics, and approval.
Audience, problem, objective, source content, delivery constraints, requirements, and output format.
AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.
Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.
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