Intero Performance · For organizations

Find out where your organization's performance is actually being spent.

You already measure the schedule, the output, the equipment. The one variable you can't see is what the work is doing to the people carrying it — the load profile your environment places on them, and what it costs. We measure that, with the same instrumentation and scenario discipline that runs our platforms, read against each person's own baseline.

Start a conversation The two ways we work

Consulting + integration · built on the INTERO platform · governed by design

The two ways we work

Map the Load. Instrument the Data. Action on the Results.

01 · Tech-enabled consulting

Load-Profile Mapping

Using the scenario design practice behind LiveLabs, we map what your work environment actually demands of the people in it — by role, by shift, by moment. Demand is characterized along IDC (Intensity · Diversity · Complexity), then we instrument real work and read the measured response against each person's own baseline. The result is a load profile of the environment itself: where load concentrates, what it costs, and where the organization is quietly paying for it in decisions, errors, and attrition.

Map — the environment's demand profile, built from your real operations, not a survey.
Measure — instrumented work: what the load actually does, person by person, against their own normal.
Move — specific, prioritized changes to structure, rotation, and recovery — with the measurement in place to see whether they worked.

02 · Integration

Wearable Integration

Most organizations that buy wearables buy a brochure. We integrate wearable technology the way it actually works: we know, device by device and sensor by sensor, what each signal can and cannot answer — and we design the deployment backward from what you need to know. Custom-built on the INTERO platform, deployed in your environment, run as an operation rather than a gadget program.

Fit — device selection and deployment architecture matched to your questions, your environment, and your workforce — including where a wearable is the wrong answer.
Fleet — provisioning, assignment, battery and firmware state, turnover runbooks. Hundreds of devices, managed like equipment.
Signal you can stand behind — every beat quality-gated before it becomes a read; where the signal can't support a number, the platform says so instead of guessing.
Governance built in — two lanes by design: each person's full record stays their own, and the operation receives only a narrow, agreed, published set of signals. Never a browsable feed.

Governance

The lines we don't cross — and why they're yours too.

Physiological data in a workplace is powerful and dangerous in equal measure. These positions are structural in everything we deploy — enforced by what the software is built to be unable to show, not by a policy binder. They are also what makes a program durable with a workforce and reviewable by counsel on a short clock.

No employment decisions

Nothing we measure feeds selection, promotion, evaluation, scheduling, or discipline. Ever. In writing.

No physiology to managers

Individual physiological data never appears on a line-management surface. Where a safety function needs it, access is role-gated, narrow, and logged.

The individual keeps the record

Each person gets more from their own data than the organization ever sees — visibly and verifiably. That inversion is why programs we build get adopted instead of resisted.

Voluntary, start to finish

Participation is opt-in with a real opt-out that stops collection. Incentives stay at token level.

Honest about limits

No diagnosis, no verdicts, no overclaiming — and we'll tell you when a wearable can't answer your question, before you've bought a thousand of them. Jurisdiction matters too: what's deployable in a US workplace and an EU workplace are very different things, and we design to the strictest reading that applies to you.

Start here

Tell us what you can't see.

The best first conversation starts from a question you can't currently answer — a role that burns people out, a shift pattern you suspect, a wearable program that produced dashboards and nothing else. Bring the question; we'll bring the measurement.