Decision Judgment Trainer

This block lets you build realistic judgment scenarios where learners must make the same decisions a skilled professional would make, then compare their reasoning to an expert model. You define the situation, add one or more decision steps with exactly one correct option each, and write teaching feedback for every choice, so learners see why a decision is right or wrong rather than just “correct/incorrect.”

Learners then write their own rationale before the expert reasoning is revealed, turning a simple interaction into a genuine practice space for professional judgment. For authors, an AI‑ready helper prompt is included to transform raw SME content into the exact structure this block needs, making it far faster and easier than hand‑building the same pattern in Storyline and more powerful than standard Rise knowledge checks.

Learners step into a situation and make the same kind of call a skilled professional would make.

For each decision step, they pick an option. They write their own rationale before the expert reasoning appears.

That makes this a good fit for gray-area choices where the reasoning matters.

You add the situation learners need to judge.

Then you add one or more decision steps. Each step has exactly one correct option.

You also write teaching feedback for every choice, so learners see why an answer is right or wrong.

The opening card gives learners the vantage point for the scenario. Use it to say what happened and what decision they need to make.

The example starts with a short workplace handoff scenario. It can also include media before learners answer the decision steps.

The template includes an AI-ready helper prompt.

Use it when a SME gives you raw scenario notes. The prompt helps turn that content into the structure the block needs.

Pick This or That & Why when learners only choose between two options and justify the choice.

Pick Video/Checklist Interactive with Review when the main task is watching a video and checking what learners observe.

Pick Branching Scenario when you want decision points built around videos and images.