Cognitive3D captures everything that happens inside XR — movement, attention, decisions, and performance. The platform makes that data visible. The data science team is where it becomes evidence.
We design the composite scores and the platform reports. We build custom analyses that answer the questions clients bring to us. And we work directly with customers to connect spatial behaviour data to the outcomes that matter to their business.
One focus: making XR evidence measurable.
Head of Data Science
Eye–head coordination & visual attention. Postdoctoral work at UBC studying gaze dynamics in immersive environments. Leads custom analytics engagements, directs the team's research programme, and makes spatial behaviour data accessible to client teams.
Data Scientist
Master of Data Science (UBC). MA & PhD in Cognitive Psychology (Waterloo). Expertise in spatial cognition, human factors, and perceptual processes in 3D environments. Designs and maintains the platform's composite scores, develops data pipelines, and supports custom client analytics.
Composite scores — Cyberwellness, Ergonomics, Presence, App Performance — grounded in spatial behaviour research. Interpretable sub-components, not black boxes.
Bespoke analysis scoped to your questions. A/B testing, retention modelling, spatial heatmaps, KPI tracking, training effectiveness.
Cross-application benchmarks from hundreds of millions of minutes of XR data. Comfort budgets, performance baselines, quality thresholds.
Custom deployment guides scaled to your needs — from lightweight consumer app instrumentation to enterprise-wide rollout playbooks.
Quantifies the comfort profile of the experience. Metrics grounded in cutting-edge peer-reviewed research on what induces VR sickness.
Evaluates physical strain from headset orientation and controller positioning. Horizontal, forward, and vertical reach. Roll and pitch strain.
Quantifies immersion. Sub-components include spatial coverage, controller movement, gaze exploration, and user immersion.
Benchmarked performance, degree of impact, consistency, and fluctuation. Overall scores use weighted averages and geometric means.
Onboarding variants, UI alternatives, interaction paradigms with measurable outcomes.
Churn prediction and lifecycle analysis across user lifecycle stages.
3D navigation patterns, attention hotspots, and spatial behaviour mapping.
Ongoing measurement against the metrics that matter to your business.
Learning outcomes, skill transfer, and performance improvement in XR training.
The data science team maintains cross-application benchmarks built from hundreds of millions of minutes of XR behaviour data. These benchmarks provide context that no single application can generate on its own: what comfort profiles look like across app categories, where performance thresholds sit for different devices, and what “good” looks like for ergonomics, presence, and session quality.
For enterprise customers, these benchmarks have operational consequences. Quality is not a spectrum in enterprise; it is a threshold. Teams above it succeed. Teams below it lose the deployment.
Our benchmarks are increasingly being written into enterprise procurement requirements.
Lightweight & self-serve
Dedicated team
The following case studies are drawn from real client engagements. Details have been anonymised, but the patterns and outcomes are representative of the work the data science team delivers.
A VR fitness application tested three onboarding variants. The action-oriented variant won across every metric: longer first sessions, lower quit rate, faster return, higher frequency through sessions two and three.
First-session experience is a surprisingly strong predictor of long-term retention. The first two to five minutes carry disproportionate weight.
Your onboarding is not just teaching mechanics. It is predicting who stays.
A fast-paced action game had strong mechanics but 75% of sessions were under five minutes. The comfort ceiling was cutting off monetisation before users reached the conversion window.
Comfort is not a vague concern. It is a measurable ceiling — and when sessions end before the conversion window opens, the business case ends with them.
A large-scale enterprise training deployment spanned multiple VR applications built by different developers. Adoption rates varied from 3% to 90%. Apps with better performance and comfort saw dramatically higher adoption.
For enterprise XR to succeed, quality needs to be measurable and enforceable. We provide both.
What to track, how to configure the SDK, and which metrics matter. From focused consumer instrumentation to full enterprise deployment playbooks.
Scoped investigations with clear deliverables. A/B tests, comfort audits, benchmarking reports, user journey analysis. Question in, recommendation out.
Regular reporting, KPI tracking, and iterative analysis as your product evolves. Reporting cadences, tracking dashboards, and insights over time.
Whether you need a one-time analysis or ongoing data science support, the team is ready.
