AI Scenario Generation

Scenarios are the highest-impact learning activity — and the hardest to write well. With the right brief, AI can generate 10 realistic workplace scenarios in the time it used to take to write one.

Step 1 — Understand what you need

Ask the user:

1. What job role is the learner in? (e.g. "customer service rep", "project manager", "new nurse")
2. What skill or decision is the scenario testing? (e.g. "handling an angry customer without escalating", "prioritizing tasks under pressure", "recognizing signs of medication error risk")
3. What type do you need?
   • Linear: situation → action → consequence (good for reflection and case study discussion)
   • Branching: multiple decision points with paths and consequences (good for practice and LMS delivery)
   • Role-play brief: a character + situation brief for facilitator-led practice
4. How many? (1 detailed, or a set of 3–10 shorter variations?)
5. What should vary across the set? Difficulty, context, customer type, stakes, industry — variety makes practice richer.

Step 2 — Build the scenario generation prompt