Discovery
Define the audience, workplace behaviour, constraints and measures of success.
Process
From real work to repeatable practice.
A connected immersive training development process shaped around the learner, business outcome and technical conditions of the project.
Before production
Start with the performance gap.
We study what people need to do, where mistakes occur and what good performance looks like. Subject experts, managers and representative users help define realistic decisions and a baseline before visual production begins.
- Audience and task analysis
- Success measures and baseline
- Content and data owners
- Risk and accessibility review
Scenario design
Turn real work into focused decisions, actions and feedback loops.
Prototype
Test the interaction, technical direction and learner journey early.
Production
Develop the experience, 3D content, AI logic and measurement layer together.
Testing
Check usability, accessibility, device performance and learning evidence.
Deployment
Integrate, document and support rollout across teams and locations.
From brief to rollout
Make decisions visible early.
Shared prototypes let stakeholders examine the learner journey, technical approach and evidence model before full production begins.
What you receive
A usable system, not just an experience.
Each project closes the gap between creative production and operational rollout.
Tested experience
A validated application with agreed devices, interaction patterns, content and accessibility routes.
Rollout package
Deployment guidance, administrator workflows, training materials and content ownership.
Measurement plan
Defined events, dashboards or exports that connect participation with skill and workplace outcomes.
Answers
Process questions
Clear answers for teams evaluating the right approach.
How long does an immersive project take?
Timing depends on content, integrations and production scope. A focused prototype can be tested early before committing to the full build.
When do users test the experience?
Representative users should test the prototype and later production builds so evidence guides interaction, accessibility and rollout decisions.
How is success measured?
Measures are agreed during discovery and can include skill evidence, decision quality, completion, transfer to work and operational outcomes.