Scored learning
Example availableExample: “Improve your phishing-triage score”
Who it's for
For teams that want responsive practice
L&D and training teams
Add a transparent score or state-based ending when it helps explain the decisions being practiced.
Instructional designers
Use the same Scenario graph for narrative, rules, feedback, and replay.
Team leads running practice
Give participants a Scenario they can replay and discuss without promising a managed competition system.
Example scenario shapes
What scored learning looks like in Cynario
Outputs can run actions that change Scenario variables. Outcome rules can then select an ending from the accumulated state in that playthrough.
Improve a decision score
Add or subtract points for selected responses, then explain how the final score reflects the path taken.
Replay another route
Run the same Scenario again, choose different responses, and compare how the ending changes.
State-based endings
Resolve to different debriefs from the state accumulated across several decisions rather than the final click alone.
Why training teams use it
Logic that responds to the whole path
- Variables make the effect of earlier decisions available to later Scenes and outcomes.
- Outcome rules can select a tailored debrief from the final Scenario state.
- The bundled logic example demonstrates scoring, conditional paths, and state-based endings.
- Cynario does not include a built-in leaderboard, managed cohorts, or course progression.