RCM ThinkLabs is the human capability layer for AI transformation. People play immersive micro-sessions of a few minutes a day, built on MIT game-theory research, and make real calls inside a continuing story. Leaders get a measured record of how each person's judgment changes over time across three capabilities: specification, verification and conviction.
At a glance
| Capability | ELB Learning | RCM ThinkLabs |
|---|---|---|
| What it is | An authoring tool for template-based games | The human capability layer for AI transformation |
| What people do | Play twelve formats built from your content | Make judgment calls inside a continuing story |
| What it measures | Score, attempts, completion time and rank | Judgment with AI: specification, verification and conviction |
| How it fits your stack | Publishes to your LMS as SCORM, by URL or inside authoring tools | Runs in the browser. Nothing to install |
| What leaders get | Learner and question reports, with knowledge gaps | Each person's trajectory against their own baseline, and a deep-dive report every 30 days |
| For managers | AI builds games from documents. No team assistant found | RCM Advisor answers questions about the team from what people did |
Where ELB Learning fits
You want to make existing content interactive. You want template-based games with points, badges, leaderboards and team tournaments. You want reports inside your LMS.
Where RCM ThinkLabs differs
A game built from your content checks whether the content landed. RCM ThinkLabs looks at what a person does when there is no right answer on the slide. People make calls inside a story, and the record shows what they specified, what they checked, and whether they held or changed their view.
Using both
RCM ThinkLabs sits beside content review games. It shows whether people's judgment improves.
What RCM ThinkLabs does
Judgment with AI, in three capabilities. Specification, verification and conviction: who defines the problem, who checks the answer, who holds or updates the view. Human-AI collaboration
People come back by choice. At one deployment, 70% played daily and nobody was assigned. The evidence
A measured baseline in 30 days. Every person is measured against their own baseline, and the record updates after every session. How the baseline works
Behavior change, observed at one deployment. Read the evidence or compare other approaches.
The work that built judgment is disappearing.
AI took over much of the work people used to learn on. The responsibility stayed with them. Document review, first-pass analysis, routine reporting: the everyday work that taught people how to think a problem through is the work AI took first.
They are making calls that matter, with real people on the other side, having rehearsed none of them. RCM ThinkLabs gives them the rehearsal: a few minutes a day, with private feedback after every session.
See who is growing, and where to coach.
RCM Advisor is the manager's AI colleague. Each person is measured against their own baseline, by capability. It is for development, and it is not a ranking.
Who is improving
Who is improving, and on which capabilities.
Where reasoning stalls
Where reasoning stalls under pressure.
Who updates well
Who updates well when the evidence changes.
Questions leaders ask
Is RCM ThinkLabs an ELB Learning alternative?
For making existing content interactive, no. For measuring judgment over time, yes.
Do people need to build anything?
No. Capabilities are agreed with you before anyone plays, and it runs in the browser.
Does RCM ThinkLabs use leaderboards?
No. Each person is measured against their own baseline, for development, not ranking.
Sources. Facts about ELB Learning come from its public materials, reviewed 8 October 2026. ELB Learning, The Training Arcade. If anything here is out of date, tell us and we will correct it.
See what daily practice reveals.
Start with one team, one skill cycle, and behavioral evidence your leaders can actually use.