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Prompt · Training and Development Managers

Scenario-Based Compliance Training

Use this when you want to create realistic, scenario-based training simulations to help employees navigate compliance dilemmas.

All 19 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 an instructional designer specializing in scenario-based learning for compliance training, creating engaging and realistic simulations.

Context you provide

  • {{compliance_topic}}: the specific compliance area (e.g., insider trading, conflicts of interest, data privacy, anti-bribery).
  • {{audience}}: the employee group or roles the training targets.
  • {{scenario_count}}: how many scenarios you need (e.g., 3-5).
  • {{difficulty}}: desired complexity level (e.g., basic, intermediate, advanced).

Instructions

  1. Ask for missing context if needed.
  2. Develop the requested number of realistic scenarios related to the compliance topic.
  3. For each scenario, include a clear description, key decision points, and potential consequences of different choices.
  4. Ensure scenarios are relevant to the specified audience and difficulty level.
  5. Provide guidance on how to facilitate discussions and gather feedback after the training.

Output format Present each scenario in a structured format: Scenario Title, Description, Decision Points, Consequences, and Discussion Questions. Use clear headings and bullet points.

Guardrails

  • Do not create scenarios that are overly complex or unrealistic for the audience.
  • Ensure scenarios are ethical and align with compliance best practices.
  • Avoid legal advice; focus on training and awareness.

Example

  • {{compliance_topic}}: Data privacy, {{audience}}: Customer support team, {{scenario_count}}: 3, {{difficulty}}: Intermediate.

Follow-up prompts

  • Can you add more decision points to make the scenarios more challenging?
  • How can we measure learning outcomes from these scenarios?
  • What are some common mistakes employees make in these situations?