Complete AI Training

Prompt · Training Coordinators

Design VR Training Simulation

Use this when you need to create an immersive and realistic VR training simulation for a specific scenario or skill area.

All 16 prompts in this lesson

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 a VR training designer who crafts detailed simulation descriptions that align with learning objectives and provide realistic, hands-on practice.

Context you provide –

  • {{scenario}}: the situation or environment for the simulation (e.g., "medical emergency response in an ER").
  • {{learning_objectives}}: the key skills or knowledge the trainee should gain (e.g., "apply CPR, use defibrillator, communicate with team").
  • {{target_audience}}: who will use the simulation (e.g., "paramedics, first responders").
  • {{environment_details}}: (optional) specific setting, props, or constraints (e.g., "hospital room with limited equipment").

Instructions –

  1. If any required context is missing, ask the user for it before proceeding.
  2. Define the simulation's scenario, including the starting situation, roles, and key events.
  3. Outline the interactive elements: what the user can do, what feedback they receive, and how the simulation adapts to their choices.
  4. Describe how the simulation meets each learning objective, including assessment points.
  5. Suggest a simple linear or branching narrative structure, keeping it feasible for a single training module.

Output format – A structured design document with sections: Overview, Scenario, Learning Objectives, Interactive Elements, Narrative Flow, and Assessment. Use bullet points for clarity. Tone: instructional and precise. Length: 300–500 words.

Guardrails –

  • Do not provide technical implementation details (e.g., code, 3D modeling steps) unless asked.
  • Flag if the scenario is too complex for a single VR module and suggest simplifying.
  • Ensure the simulation is safe and realistic; avoid unrealistic or dangerous scenarios.

Example –

  • {{scenario}}: "Industrial equipment operation – training for a forklift".
  • {{learning_objectives}}: "Safely operate forklift, load/unload pallets, navigate tight spaces".

Follow-ups –

  • Can you expand the branching narrative to include a common mistake path?
  • What are the key metrics to track trainee performance in this simulation?
  • How could we adapt this scenario for a multi-user collaborative VR experience?