Live Deployment Spotlight.

Behavioral data captured from a high-performance technical team over an IOC cycle.

70%voluntary daily engagement. Corporate norm: 5 to 25%.
84%skill improvement among regular participants.
+129%largest individual shift on a skill capability.
15,000+decisions scored across 1,088 sessions.

Single deployment · one client team · no control group · each person measured against their own opening baseline

How behavior changed

The shift, in the data.

A few minutes a day changed how one team asks. Over 66 days, their questions got sharper, the raw material of better decisions.

+143%

more of the team’s questions asked why, up from 1 in 17 at the start to 1 in 7 by the final weeks.

+67%

more asked the harder questions that link evidence, test another view, or trace a cause, up from 1 in 5 to 1 in 3.

Calibrated for each client

You get an experience tuned to your team by a Forward Deployed Engineer, not off the shelf.

The proof: a manager privately flagged one dimension for one engineer at Day 0, and the platform, never shown that note, found the same dimension on its own partway through the cycle.

That engineer's signal on the dimension rose 58%.

Manager intuition, independently confirmed, then developed. That is the loop.

How this was measured

Behavior, not self-report.

Every figure above is scored behavior inside real sessions.

  • VoluntaryNobody was mandated
  • LongitudinalTrajectories, not snapshots
  • SeparateRead without the manager’s notes
  • BaselinedAgainst each person’s own start
How a deployment runs

First the baseline. Then mastery.

IOC Initial Operating Capability

Every skill enters at a measured baseline.

FOC Full Operating Capability

Then it compounds to mastery, skill after skill.

The path between is the deployment. See it run on your team

Common questions

Does RCM ThinkLabs actually work? In one live deployment with an advanced engineering team, regular participants improved 84% on measured skills at 70% voluntary daily engagement, against a corporate norm of 5 to 25%. The largest individual shift on a single skill capability was +129%. Over 66 days the team's questions measurably sharpened: 143% more asked why, up from 1 in 17 to 1 in 7, and 67% more asked the harder questions that link evidence, test another view or trace a cause, up from 1 in 5 to 1 in 3.

How were these results measured? Every figure is scored behavior inside real sessions, not self-report. Participation was voluntary rather than mandated, the data is longitudinal rather than a snapshot, each person is measured against their own opening baseline, and the read is produced without access to the manager's notes. 15,000+ decisions were scored across 1,088 sessions.

Was there a control group? No. This is a single deployment with one client team and no control group. The figures show what changed for this team over this period. They do not isolate the platform as the cause, and we do not claim they generalize to other organizations until we have run a controlled study across several of them.

What does the calibration result show? A manager privately flagged one dimension for one engineer at Day 0. The platform, never shown that note, independently identified the same dimension partway through the cycle, and that engineer's signal on the dimension then rose 58%. Manager intuition, independently confirmed, then developed.

What is the difference between Initial Operating Capability and Full Operating Capability? Initial Operating Capability is where a team starts: every skill enters at a measured baseline. Full Operating Capability is what it compounds into, skill after skill, as practice recurs and nothing resets. The deployment is the path between the two, and the compounding is the point.

We help build high-performing teams, and the leaders who guide them.