Keep every study session inspectable, from data logging to analysis
What the record has to hold before analysis
A completed session is not proof the record is usable. Before a session enters analysis, the lab needs to see what it actually captured. These are the four things the study record can show.
Verify each session record
Inspect captured streams, platform and device context, goals, feedback, and the event timeline, then decide which sessions need replay or deeper review.
Replay participant behaviour in context
Review movement, interaction, goals, and observed attention inside the 3D environment, from the angle and the moment that matter.
Compare conditions like for like
Tag sessions by condition, cohort, site, or version, then compare goal timing, movement, and observed attention on identical scenes.
Export documented study data
Take session and query data into existing analysis workflows through supported exports and APIs, with schemas and session context available for review.
Turn study sessions into analyzable evidence
Track XR Research Sessions
Build a complete record of what happens in your XR study. Record app activity and capture device inputs so teams can replay, validate, and analyze with confidence.
Learn MoreExplore Participant Behaviour
Organize and evaluate how individual participants behave, decide, and perform by Accessing Study Data, Replaying Sessions, or connecting insights to AI systems.
Learn MoreAnalyze Aggregate Group Findings
See how your XR study performs across conditions. Monitor trends, compare session behaviour, and prepare aggregate study data for dashboards, reporting, and AI analysis.
Learn MoreCapture what actually happened in the experiment
Record What Happens in XR Experiments
Prove what happened inside your XR experiment. Capture scenes, sessions, objects, goals, feedback, and performance data to replay, validate, and improve the study.
Record Participant Activity
Know what happened and which moments need review. Capture how participants move, explore, interact, and spend time from start to finish. Use the session record for accurate 3D playback and comparison across sessions.
Ask Questions in XR Studies
Validate where participants hesitated while the feedback is still fresh. Ask questions directly inside XR using multiple choice, scale, or voice responses where enabled. Collect and review the feedback alongside the session that produced it.
Capture How Participants Interact in XR
Understand how participants move, look and respond through XR hardware. Headset, input, gaze and sensor data give every session the device context an analysis needs.
Research teams reviewing XR study sessions
Research teams use Cognitive3D to review participant sessions, compare conditions, and take XR data into analysis workflows.
Adding Cognitive3D to your experiment
- Engines and devices
- Pre-built SDKs for Unity, Unreal, C++, AndroidXR, visionOS, and WebXR
- Consumer and enterprise XR headsets and devices
- Gaze and fixation on supported eye-tracking devices
- 40+ engine, tool, and platform integrations
- What the setup involves
- Add the SDK to a study scene your team has built
- Define trial flow with goals, events, and custom properties
- Task-specific logic stays yours to write
- Documentation, samples, and support for the integration work
- Data and export
- Documented schemas for session and query data
- CSV, JSON, and REST API
- Session and device context retained with every export
- Public cloud, dedicated cloud, or on-premises options on request
Review each session in full context
Access, Manage, and Connect Study Data
Find the session you need without digging. Participant profiles, session details, tags, filters, exports and MCP Server access sit in one place.
Replay XR Research Sessions in 3D
See movement, gaze, timing and objectives together, so every reviewer works from the same record. Move through the session from any angle, at any timestamp.
Review a Session in 3D
Validate what happened in your study with replayable 3D evidence. Replay sessions from any angle, jump to key moments, adjust lighting, listen to audio when captured, and share timestamped views for review.
Evaluate How a Participant Performed
See exactly where individual participants succeed or struggle in XR. Analyze goal progress step-by-step to understand actions, timing, completion rates, missed steps, and breakdowns across task flows.
Review a Timeline of Study Events
Verify the sequence of activity across the session. Review a clear timeline of events, actions, transcripts and goals, then prepare sessions for replay or AI-assisted analysis.
“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.”
How the three steps work on a real experiment
Track, explore, and analyze, applied to two conditions of the same task.
Tracked. A participant completes the task, and the session record shows which streams were captured and under what device conditions.
Explored. The event timeline and 3D replay show the sequence, including where the participant went that the protocol did not anticipate.
Analyzed. The tagged conditions are compared on the same task, with the individual sessions still available behind the group view.
Exported. The evidence set goes into the lab's own analysis tools, with schemas and session context intact.
Compare across conditions, cohorts, and devices
Monitor Research Trends Across Your Study
Know whether the study is holding steady or drifting. Track usage, comfort, feedback, performance and custom dashboard trends across cohorts.
Summarize Participant Feedback
See whether participant feedback is isolated or recurring across XR sessions. Review captured responses across participants, sessions, questions, scenes, tags, and segments. Use dashboards and filters to surface what participants consistently report.
Analyze Participant Behaviour Across XR Research
Compare navigation, attention, goal outcomes, and object use across participants and conditions, with the individual sessions available behind each pattern.
“Seeing one session gives you context. Comparing thousands reveals patterns. That's how product teams uncover what truly drives performance in immersive experiences.”
Bring your study and inspect the path from session capture to analysis
Review what the record holds before you commit a cohort.