Branching simulations
Scenarios with real consequences.
A decision tree on the canvas: every choice routes to a different scene path. Score across branches, surface coaching feedback, and score back to the LMS gradebook.
N-deep
branch depth
per-path
scoring
cue-aware
AI narration
Visual decision graph.
- Drag scenes onto the canvas; draw choice edges between them.
- Per-edge label = the user-visible choice text.
- Loops, dead-ends, converging paths — all supported.
Per-path scoring.
- Each edge carries a score delta (+10 for "right answer", -5 for "wrong").
- Final score = sum across the path the learner walked.
- Reports to SCORM + xAPI + AGS without extra work.
Coaching feedback per branch.
- Show specific feedback when the learner chooses a particular path.
- AI narration can react to the path in subsequent scenes.
- Optional "try again" loops with a reset to a checkpoint.
Authored or AI-drafted.
- Manually map your scenario edges with the visual editor.
- Or describe the scenario to the wizard — it generates a starting branch graph for you to refine.
Player-side path tracking.
- Runtime records every choice + every score delta.
- xAPI statements emitted per choice for analytics dashboards.
- Replay-from-checkpoint for facilitators.