Settings
Accessibility preferences and demonstration controls. Accessibility settings persist for this browser session only.
These settings apply across this browser session and do not change learning evidence.
No profile image selected. Initials shown.
This preference does not change your learning record, certification, adaptive recommendations, required manager reviews or access to learning.
Reset demonstration — Alex Morgan demonstration state
Choose the demonstration state. Loading a preset clears every previous Alex record in one operation — attempts, pathway stages, recommendations, interventions, manager reviews, escalations, timestamps, current activity and audit events — and then creates the selected records. Loading the same preset twice produces exactly the same records.
Resetting learner data restores the default Successful Adaptive Journey: Attempt 1 at 25% with two critical errors, Manager Review 1 completed, targeted refresher completed and Attempt 2 at 75% with no critical error. Later attempts, overrides and decision-log entries are cleared.
Demonstration presets
Each preset creates a valid synthetic scenario attempt. The policy engine still decides the recommended action from that evidence.
- Load strong-performance outcomeScore 100, no critical errors, post-training confidence 5.Expected rule: MAL-006
- Load low-confidence outcomeScore 100, no critical errors, post-training confidence 2.Expected rule: MAL-005
- Load targeted-reinforcement outcomeScore 75, no critical errors, gap: Recording Accurate Patient Information.Expected rule: MAL-004
- Load one-critical-error outcomeScore 75, one critical error, gap: Secure Information Sharing.Expected rule: MAL-002
- Load two-critical-errors outcomeScore 25, two critical errors in Stage 1 and Stage 2.Expected rule: MAL-001
- Load guided-practice outcomeScore 50, no critical errors, Stage 3 and Stage 4 incorrect.Expected rule: MAL-003
Adaptive loop presets
These presets create the underlying evidence, engine decision, manager review and audit events so every page shows consistent records.
- Load pathway awaiting manager reviewMAL-001 triggered and awaiting review by Priya Shah. The patient-record scenario is locked for Alex.
- Load manager-approved pathwayMAL-001 triggered, manager review completed by Priya Shah, targeted refresher ready to begin.
- Load completed adaptive loopMAL-001 triggered, review completed, refresher completed, repeat scenario ready to begin.
- Load successful repeat outcome (Attempt 2)Attempt 1 at 25% with two critical errors, review completed by Priya Shah, refresher completed, then Attempt 2 at 75% with three of four decisions correct and no critical error. The pathway closes at 100%.
- Load repeat outcome containing a critical errorThe same pathway, but Attempt 2 still records one critical error. The learner cannot be cleared and further manager review is required.
- Load Programme Builder demonstrationRestores the published patient-record programme (version 1.0) and the Safe Discharge Documentation draft (version 0.1) with all six builder steps prepopulated, no governance decision and nothing newly published.
- Load Team Dashboard demonstrationRestores the 24-person synthetic workforce, Alex awaiting manager review, and removes previous cohort assignments and demonstration audit events.
Scenario realism demonstration
Opens the Maze Clinical Record Simulation for the fictional patient Jamie Campbell. This runs as a normal attempt for Alex Morgan, so the score, evidence and adaptive recommendation are recorded.
Start scenario realism demonstrationPolicy test
Internal validation of the policy engine against each preset. Demonstration use only.
| Preset | Expected rule | Actual rule | Result |
|---|---|---|---|
| strong-performance outcome | MAL-006 | MAL-006 | Pass |
| low-confidence outcome | MAL-005 | MAL-005 | Pass |
| targeted-reinforcement outcome | MAL-004 | MAL-004 | Pass |
| one-critical-error outcome | MAL-002 | MAL-002 | Pass |
| two-critical-errors outcome | MAL-001 | MAL-001 | Pass |
| guided-practice outcome | MAL-003 | MAL-003 | Pass |