AI Branching Scenario Tool for Training
Decisions with consequences
Describe a situation and AI builds a branching decision tree — the setup, the choices at each step, and the consequences and outcomes each path leads to. Perfect for case studies, judgement calls, and “what would you do?” training.
Groups play one shared run together, make decisions as a team, and see the exact path they took drawn on a decision map afterwards — a natural springboard for debrief and discussion.
What you can do
Branching decision trees
Every choice leads somewhere different — situations, options, consequences and outcomes branch out into a full decision tree you can explore and edit.
One shared team run
Groups play a single shared run, deciding together. Everyone stays on the same branch so the team experiences one coherent story.
Decision map replay
After the run, each group sees the path they took mapped visually — the ideal prompt for reflection and whole-class debrief.
Join by QR code
Learners join a scenario by scanning a QR code. No accounts, no installs — they are making decisions in seconds.
Judgement & case studies
Great for ethics, safeguarding, customer scenarios, incident response, and any topic where the reasoning behind a choice matters.
Watch runs live
See which branch each group is on in real time so you can guide the debrief around the decisions they actually made.
AI drafts the scenario — you approve every branch
AI does the heavy lifting of generating a full branching tree from your topic, but nothing goes live until you have reviewed it. You stay the author: edit situations, rewrite choices, and reshape outcomes before any learner sees them.
- ✍️AI generates situations, choices, consequences and outcomes from a short prompt.
- 🔍You review and edit the entire tree before publishing — nothing is auto-released.
- 🎚Adjust the depth and difficulty of branches to match your learners.
- 🧑🏫The scenario supports your debrief; you decide what each outcome should teach.
Frequently asked questions
How does the AI build a scenario?
You describe a situation and AI generates a branching decision tree — the opening situation, the choices at each step, and the consequences and outcomes each path leads to. You then review and edit it before publishing.
Do groups play together or individually?
Groups play one shared run. The team decides together and follows a single branch, so everyone experiences the same coherent storyline.
Can learners see the decisions they made?
Yes. After a run, each group sees the exact path they took drawn on a decision map — a great starting point for reflection and debrief.
Do I stay in control of the content?
Completely. AI drafts the tree, but you review and edit every situation, choice and outcome before it goes live. Nothing is auto-published.
What subjects work well for scenarios?
Anything driven by judgement: ethics, safeguarding, customer service, incident response, clinical decisions, leadership dilemmas, and case-study teaching.
Ready to try it with your learners?
Free to use. No student accounts needed. Start in minutes.
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