The first virtual reality session almost always impresses. But learner enthusiasm is not enough to justify an investment. To convince a finance department, you need to show that an immersive program improves skills, changes behaviour on the job and produces measurable gains.
Start from a recognized evaluation model
The Kirkpatrick model, widely used in training, offers four levels of evaluation: learner reaction, learning achieved, behaviour change on the job and results for the organization. The Phillips model adds a fifth level: financial return on investment.
Levels 1 and 2: reaction and learning
Virtual reality offers a major advantage: every learner action can be measured. Completion time, errors made, steps forgotten, hesitations: this data makes it possible to assess mastery of a procedure objectively, far beyond a multiple-choice quiz.
Level 3: behaviour on the job
This is the most often neglected and the most revealing level. It means observing, a few weeks after training, whether the skills learned are applied: lockout procedures followed, quality of inspections, compliance during internal audits. Comparing a group trained in VR with a group trained traditionally gives particularly solid results.
Level 4: results for the organization
- Fewer workplace incidents and accidents
- Less time for a new employee to become autonomous
- Fewer costly mistakes: equipment damage, rework, non-compliance
- Fewer production stoppages caused by training on real equipment
- Lower travel costs for trainers and learners
Level 5: calculating return on investment
The calculation is simple in principle: return on investment equals net benefits divided by program costs. Costs include simulation production, headsets, the platform, learner time and facilitation. Benefits are the monetized gains observed at level 4.
An often underestimated factor
A simulation can be reused at almost no marginal cost. The more learners there are, the better the return on investment, unlike classroom training, whose costs grow with every cohort.
Plan measurement from the start
Measurement is prepared before launch: choosing indicators, collecting baseline data and defining a control group whenever possible. A platform like KAYVR automatically centralizes learning data and makes it easier to cross-reference with your operational indicators.
With this approach, immersive training stops being seen as an innovation expense and becomes an investment whose value can be demonstrated, compared and improved.