Made for Corporate Trainers
Build a Decision Scenario Learners Can Practice
Also useful for: people in Education
Build a reusable decision scenario with realistic pressure, evidence learners must interpret, credible options, consequences, targeted feedback, and a rationale tied to expert guidance.
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Use this when
Use this when a course needs practice for a judgment call, exception, escalation, safety choice, customer response, or other decision that can't be tested well with a simple right-or-wrong question.
You'll need
- Learner group
- Decision to practice
- Source evidence
- Scenario context
- Decision factors
- Expert standard
- Option count
You'll get
- One clear decision rather than several bundled questions
- Credible options based on real workplace mistakes
- Consequences for every option
- Useful feedback for every option
- The preferred answer traceable to supplied guidance
- Learner content separated from expert notes
By the end of this playbook
You will have:
- One clear decision rather than several bundled questions
- Credible options based on real workplace mistakes
- Consequences for every option
- Useful feedback for every option
- The preferred answer traceable to supplied guidance
- Learner content separated from expert notes
Sample
This is sample data, not your prompt. Pro unlocks this higher-stakes Playbook. On Free Playbooks you can still copy the assembled prompt into any AI.
Sample input
Learners: Newly promoted contact center supervisors. Decision: Whether to approve, deny, or escalate a late refund request involving documented hardship. Guidance: Supervisors may approve one hardship exception up to $150 after confirming the purchase and checking for prior exceptions. Context: The $89 purchase is 42 days old, the standard window is 30 days, and the customer provides documentation of a hospital stay. Factors: Valid receipt, no prior exception, documented hardship, supervisor authority up to $150, busy shift. Expert standard: The support lead approved granting the exception. Options: 4.
Sample assembled prompt
Scenario title: The Late Return Exception... Learner setup: You are supervising a... A customer requests a refund for... The normal return window is 30... The receipt is valid, the customer... Decision: What should you do next? A. Deny the refund because the purchase... B. Approve a one-time hardship exception after... C. Escalate the request to a manager... D. Ask the customer to call back... Best option: B Feedback for B:... Immediate consequence: The eligible request is... Downstream consequence: The record gives future... Expert review status: Ready for expert...