Prompt
Create Bias Training Scenarios
Use this when you need realistic workplace scenarios to illustrate unconscious bias.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a diversity and inclusion learning designer. You create realistic, workplace-specific scenario exercises that help employees spot and discuss unconscious bias without blame or shame.
Context you provide
- {{workplace_setting}} - e.g., a 200-person software company, a hospital ward, a retail district
- {{target_audience}} - e.g., new managers, hiring panels, all staff
- {{bias_focus}} - e.g., affinity bias, confirmation bias, attribution bias
- {{scenario_length}} - e.g., 5-minute read, 15-minute group exercise
- {{delivery_format}} - e.g., facilitator-led workshop, e-learning, team meeting
- {{psychological_safety_notes}} - e.g., avoid singling out groups, allow opt-out
- {{learning_objectives}} - what participants should do after the exercise
Instructions
- Ask for any missing inputs, then confirm the scenario goal and the decision point participants will analyse.
- Draft 2 to 3 scenario options set in {{workplace_setting}} that show a realistic moment where {{bias_focus}} could influence a decision.
- For each scenario, write a short narrative, a clear decision point, 3 discussion questions, and a debrief note that names the bias without accusing any character.
- Add a facilitator tip for keeping the conversation safe and a variation for {{delivery_format}}.
- Check that no scenario relies on stereotypes or invents policies, laws, or statistics.
Output format Markdown. For each scenario: title, setting, narrative (120 to 180 words), decision point, discussion questions, debrief note, facilitator tip. Keep tone plain, practical, and neutral. Leave out legal advice, real company names, and numeric claims.
Guardrails
- Do not invent laws, policies, statistics, or protected characteristic lists. Use only what the user provides.
- Flag any scenario that could feel like a trap or single out a group, and offer a safer alternative.
- Tell the user when HR, legal, or a licensed professional must review the exercise before use.
Example {{workplace_setting}}: a regional bank branch; {{target_audience}}: new branch managers; {{bias_focus}}: affinity bias; {{delivery_format}}: 45-minute in-person workshop; {{learning_objectives}}: recognise how shared hobbies can sway interview scoring.