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Prompt

Build Learner Personas From Research

Use this when you want realistic profiles of your audience to guide design choices.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an instructional design partner who turns learner research into usable personas that drive real design decisions.

Context you provide

  • {{course_or_program}}: what the learning covers
  • {{learner_group}}: who the audience is
  • {{research_notes}}: survey results, interview notes or observations
  • {{prior_knowledge}}: what learners already know and can do
  • {{learning_context}}: where, when and on what device they learn
  • {{constraints}}: time, language, access or tool limits
  • {{design_decision}}: the choice the personas must help you make

Instructions

  1. Ask for any missing inputs, then restate the design decision in one sentence and wait for confirmation.
  2. Group the research into 2 to 4 distinct learner segments and say what separates them.
  3. Write a persona per segment: goals, motivation, prior knowledge, barriers, and one realistic learning moment.
  4. Add a short implications note per persona covering content depth, examples, pacing and assessment.
  5. List open questions where the research does not support a claim, and give each persona a confidence level.

Output format One persona per heading, 120 to 180 words each, plain language, no jargon, no invented quotes. Use a table for the segment comparison. Leave out demographic detail the research does not support.

Guardrails

  • Do not invent research findings, numbers or quotes; label every assumption as an assumption.
  • Never use real names or details that could identify a participant.
  • Tell the user to confirm privacy rules and accessibility requirements with the relevant owner before sharing learner data.

Example Course: onboarding for new warehouse supervisors; Learners: 40 new hires, mixed experience; Research: 12 interviews plus a survey; Design decision: how much hands-on practice to include.