Prove your XR training program with session evidence
What your training program has to prove
XR training rarely stalls because the training failed. It stalls because the team cannot show, in enough detail, what actually happened. These are the four things the session record can evidence.
How proficiency changes across cohorts
Goal completion, step timing, drop-offs, and repeated actions, compared across learners, cohorts, devices, and scenario versions.
Where errors and risk concentrate
Skipped steps, failed objectives, hesitation, and the sequences where the same mistake keeps happening, each with its replay attached.
Which parts of the simulation are working
Where learners look, move, dwell, and repeat, so the next build round targets the modules that need attention.
What you can put in front of stakeholders
Learner records, session evidence, and exports into the LMS, BI, and reporting systems your review already uses.
Turn XR sessions into training evidence
Track XR Training Sessions
Build a complete record of what happens in XR training. Record app activity and capture device inputs so teams can replay, validate, and analyze with confidence.
Learn MoreExplore Individual Learner Behaviour
Organize and evaluate how individual learners behave, decide, and perform by Accessing Training Data, Replaying Sessions, or connecting insights to AI systems.
Learn MoreAnalyze Aggregate Training Insights
See how XR training performs at scale. Monitor trends, compare session behaviour, and prepare aggregate training data for dashboards, reporting, and AI analysis.
Learn MoreCapture what actually happened in the session
Record What Happens in XR Training Sessions
Prove what happened inside your XR training. Capture scenes, sessions, objects, goals, feedback, and performance data to replay, validate, and improve the experience.
Capture How Trainees Interact in XR
Understand how trainees move, look and respond through XR hardware. Headset, input, gaze and sensor data give every session reliable device context.
Ask Questions During XR Training
Validate where trainees hit friction while the feedback is still fresh. Ask questions directly inside XR using multiple choice, scale, or voice responses. Collect and review user feedback instantly without writing code.
Trusted by XR teams measuring immersive training at scale
Used by teams turning simulation activity, learner behaviour, and session replay into clearer training decisions.
Adding Cognitive3D to your training scenarios
- Engines and devices
- Pre-built SDKs for Unity, Unreal, C++, AndroidXR, visionOS, and WebXR
- Consumer and enterprise XR headsets and devices
- Most tracking runs through the engine your team already uses
- 40+ engine, tool, and platform integrations
- Setup
- Add the SDK to scenarios you already run
- Define objectives with goals and events
- Docs, guides, samples, and friendly support make setup fast and reliable
- No content rebuild, and no risk to app performance
- Data and reporting
- Session data exportable at any time
- xAPI, SCORM, CSV, JSON, and REST API
- Regional and deployment options on request
Replay the moment performance changed
Access Trainee Profiles & Session Data
Find the training session you need without digging. Trainee profiles, session details, tags, filters, exports and MCP Server access sit in one place.
Export Simulation Data to LMS, Analysis Tools
Extend training evidence into the systems where decisions happen. Export as CSV, JSON, PDF, screenshots, or shareable links. Connect LMS, BI, and AI systems using xAPI, SCORM, and MCP Server.
Replay XR Sessions in 3D
See learner movement, gaze, actions, timing, and objectives together, so every team can review the same evidence. Replay from any angle and jump to the moments that matter.
See Where a Learner Looked
Know if learners saw what mattered. Visualize gaze paths, fixation points, and heatmaps from supported headsets and eye-tracking data. Measure time-to-gaze, fixation duration, and attention over time.
Evaluate How a Trainee Performed
See exactly where individual trainees succeed or struggle. Analyze goal progress step-by-step to understand actions, timing, completion rates, missed steps, and breakdowns across task flows.
“Seeing one session gives you context. Comparing thousands reveals patterns. That's how product teams uncover what truly drives performance in immersive experiences.”
How the three steps work on a real session
Track, explore, and analyze, applied to a safety scenario your team could be running tomorrow.
Tracked. A trainee works through a lockout procedure and the scenario marks it complete.
Explored. The replay shows the isolation point was never looked at. The step was completed from memory of the layout, not from the check.
Analyzed. Filtering the cohort shows the same gap in other sessions, at the same step.
Reported. The replay link and step records go into the safety review, and the scenario gets revised before the next cohort runs.
Make XR training value easier to show
Monitor Training Trends Across Your Program
Know whether your XR training experience is improving, holding steady, or needs attention. Track usage, comfort, feedback, performance, and custom dashboard trends for clearer reporting.
Analyze Learner Behaviour Across Training Sessions
Use session evidence and cohort comparisons to support training reviews and stakeholder updates. Compare navigation, attention, goal outcomes, and object use across scenario versions.
Compare Trainee Sessions in 3D
Prove whether behaviour patterns repeat across training sessions. Visualize multiple sessions together to compare movement, interactions, and engagement, and share timestamped views for review.
“Our replay engine shows exactly how a user moved, where they looked, and what they did. It's not a simulation. It's a synced 3D recording teams can trust to find clear, actionable insights.”
Walk into the next review with evidence
See what your existing training scenarios can evidence today. No fake model required.