Maturity of mixed reality adoption · XR, AR, VR
Your XR use cases, placed on a maturity scale and turned into a costed roadmap.
10 themes, a 5-level scale. And the action that moves each level to the next.
The framework’s 10 themes, already written from L1 to L5. One company, one business unit, or 300 at once.
Maturity of mixed reality adoption · XR, AR, VR
10 themes, 5-level scale.
Nordhavn Industries
53 / 100
They measure their maturity with Datamensio
An example
This could be your situation.
Take one company as an example: three sites, three spreadsheets, no shared answer.
Nobody can consolidate.
Nordhavn Industries, 2,400 people in Hamburg, Lyon and Porto. A client asks where the group stands. Each site answers in its own spreadsheet, with its own scales.
Three weeks, a single base.
One XR maturity framework (mixed, augmented and virtual reality), 5-level CMMI scale assessment launched across all three sites at once, from the managers’ interview notes. The framework was already written, its 10 themes and levels L1 to L5 too.
Two costs avoided before being committed.
A score of 53 out of 100, with the gap concentrated on three themes. The AI companion spotted that two actions duplicated those of another audit. The committee report took one sentence to request.
What it saved them
- 3sites measured on the same base, instead of three questionnaires to reconcile
- 2duplicate actions caught before the spend
- 1committee report, with no manual rework
These figures are an example. They could be yours.
The standard imposes processes. Datamensio says where you stand.
01
The framework is already written
Themes, questions and levels L1 to L5, all written. You do not start from an empty spreadsheet.
02
The score lands the same day
Online, by self-assessment link or in interview. Theme by theme, comparable over time.
03
The gap becomes a costed plan
Every step up carries its action. The AI prioritises on expected effect, not on the order of the standard.
04
Progress can be demonstrated
Campaign after campaign, against your target and against your own past. That is what your board asks for.
The maturity scale
One level, the next, and the action that links the two.
It is this mechanism (a level, a higher level, and the action linking the two) that turns an observation into a trajectory.
Does moving an immersive use case from pilot to deployment rely on defined criteria?
- N1
No criteria. Pilots continue or stop depending on the availability of a budget or a sponsor.
- N2
Criteria are mentioned during project reviews, but they are not written down and vary from one use case to another.
- N3
A documented set of criteria is applied to every pilot, with a tracked decision to continue, deploy or stop.
- N4
The criteria include full cost and benefits measured in the field. Decisions are taken at arbitration level and communicated to entities.
- N5
The criteria are revised based on results observed on past deployments, and shared across business units to compare portfolios.
Action to move from N2 to N3
Formalise a set of five to seven criteria (measured benefit, full cost, content maintainability, technical base compatibility, identified business sponsor), attach it to each pilot’s file and rule on every use case during the quarterly portfolio review.
« With Datamensio, we meet our objectives far more efficiently. The ERDF inspection services and our supervising ministry particularly appreciated an approach that gives them reliable data. »
Director, CCI 94CCI Île-de-France
« We believe this is the most suitable solution to scale our transformation project and measure impact according to our needs. »
Maja SucekChief Operating Officer, Interreg Danube
Rarely on its own
Frameworks combine. Put several together to cover your business, or have the AI write yours.
Take your first measurementon XR.
What this framework covers
Mixed reality refers to a continuum of technologies: immersive virtual reality headsets, augmented reality glasses, mobile overlay applications, digital twins viewable in three dimensions. Industrial use cases are now well identified: training in technical gestures and risk situations, remote assistance to an operator from an expert, design review before physical prototyping, picking assistance in a warehouse, presentation of configurable products. The framework assesses adoption of these use cases, not the performance of a piece of hardware. It covers how the organisation selects, deploys, measures and sustains its immersive devices.
In practice, the difficulty is not technical, it is organisational. Most groups have run an experiment, sometimes several, and end up with isolated devices that do not talk to each other. Who decides that a use case moves from pilot to deployment, and on what criteria? Who maintains the immersive content when the production line changes or the product moves to a new version? What does a virtual reality training module actually cost, once production, updates and equipment support are counted? These questions often remain without a formal answer.
A common confusion is worth clearing up: adopting mixed reality is not an innovation lab topic. Scaling up depends on very conventional functions, the IT department for the technical base and endpoint security, learning and development for instructional design, operations for integration into the workplace, procurement for managing a fleet of headsets. Tightening expectations around the management of personal and biometric data captured by immersive devices, gaze tracking in particular, adds a governance requirement that innovation teams cannot carry alone.
The maturity assessment does not frame the question in binary terms. It does not ask whether you use mixed reality, but at what level your practices sit on each theme and what specific action moves you to the next level. A successful demonstrator and an industrialised use case running across 12 sites are the same topic, but not the same level of maturity. This gradation is what lets you decide between continuing, scaling up or stopping.
The framework is available immediately in Datamensio and remains editable. The AI adjusts themes, questions and level wording to your sector, manufacturing, energy, healthcare or retail, or builds a version from your own governance documents. The models used are selectable, including European offerings.
Reference standard: XR maturity framework (mixed, augmented and virtual reality), 5-level CMMI scale
The themes assessed
XR vision and governance
Existence of a formalised direction, ownership by a department, criteria for selecting use cases, an arbitration body, dedicated budget or project budget.
Use case portfolio
Mapping of use cases across training, maintenance, design, logistics and sales, stage reached by each, rules for moving from pilot to deployment, decisions to stop.
Value and benefits measurement
Indicators defined before launch, measurement of the effect on training time, execution quality or safety, full cost of the device, comparison with the non-immersive solution.
Content production and lifecycle
Production chain for immersive content, reuse of design data and digital twins, versioning, responsibility for updates, retirement of obsolete content.
Technical base and interoperability
Engines and formats used, connection to business systems, management of three-dimensional data, network and delivery capacity, portability between devices.
Fleet and equipment management
Inventory of headsets and terminals, procurement procedure, provisioning, software updates, hygiene and maintenance, on-site user support.
Skills and change management
Internal skills in immersive design, training of managers, support for users, consideration of discomfort and contraindications, buy-in from frontline teams.
Security, data and legal framework
Processing of data captured by devices, including biometric data, user information, security of flows and sensitive content, intellectual property of three-dimensional assets, oversight of vendors.
Ecosystem and procurement
Dependency on hardware and platform vendors, reversibility, contracting, partnerships with publishers, integrators and labs.
Scaling up and continuous improvement
Standardisation of multi-site deployments, cross-entity capitalisation, formalised lessons learnt, periodic review of the portfolio.
A short version of the framework is available for the online self-assessment.
Frequently asked questions
Does this framework lead to a certification?
No. There is no body that certifies mixed reality adoption. The assessment measures a maturity level per theme and produces an action plan. It is a decision and steering tool, not a certificate.
How is this different from an audit?
An audit checks for the presence of expected elements and concludes with a gap. The maturity assessment places your practices on a progressive scale and indicates, for each theme, the action that moves you up a level. The outcome is a trajectory, not a verdict.
How long does the assessment take?
The short version takes 20 to 30 minutes to complete. The full version, run collaboratively with industrial, training and IT contacts, generally spans one to two weeks, most of the time being spent on data collection.
Do we need to have already deployed XR devices to take part?
No. An organisation at the exploration stage will score low on several themes, which remains useful information for framing the first programme. The framework covers early stages as well as multi-site scale-up.
Can the framework be adapted to our sector?
Yes. The themes, questions and level wording can all be edited. The AI produces a sector-specific version or uses your own governance documents to generate matching questions. You retain ownership of the resulting framework.
How can several business units be compared?
Each entity completes the same assessment. Scores by theme can be compared against each other and against previous assessments. A cross-entity roadmap consolidates the action plans and groups actions common to several sites.
Where is the data hosted?
In France, with OVH, backed up with Scaleway. No transfer outside the European Union. The AI models used can be selected, including European offerings.