Read my radar
Your home shows a radar over eight dimensions of professional capability. This guide explains what you’re looking at, what makes each axis move, and how to read the cases where a number surprises you.
What you see
The radar plots your current level on each of the eight sub-competencies: Domain knowledge, Procedural skill, Situational awareness, Decision-making, Communication, Self-regulation, Reflection, Collaboration. See the eight sub-competencies for what each one measures.
Each axis is shown in a Dreyfus band: Novice, Advanced beginner, Competent, Proficient, Expert. The band is the headline; hover an axis to see the underlying number (0–100).
If your trainer has set a target for a scenario or for you overall, the radar overlays it as a second shape. Where your line falls inside the target is the gap to close. See the target vector for how targets are set.
What makes it move
Only your trainer’s verdict moves the radar. The AI signal alone never does. That’s a deliberate design choice — see evidence and verdicts for the why.
Each engagement contributes to the dimensions that scenario exercised, weighted by how heavily the scenario draws on each dimension. A customer-conversation scenario weights Communication and Situational Awareness heavily; a technical-inspection scenario inverts that. See weights.
Why is one dimension low?
Three common reasons:
- No scenarios have exercised it yet. A dimension only moves when you engage in scenarios that draw on it. If your assignments have all been customer-facing, your Procedural skill axis may simply have no evidence behind it.
- Your trainer adjusted or rejected the AI signal. This is normal. The AI is observing; the trainer is calibrating. An adjusted-down verdict is the system working as intended, not a penalty.
- The target is set high. A low band against a high target looks like a big gap. It might be — or the target might be aspirational for where you are in the role. Talk to your trainer.
When something goes wrong
- The numbers don’t update after I finished. The verdict is pending. Your trainer hasn’t rendered it yet.
- A number went down. Likely a trainer adjusted or rejected an AI signal. Open the engagement to see the verdict and the rationale.
- An axis stays empty. No scenario you’ve engaged with has drawn on that dimension yet. Check the dimensions listed on your assigned scenarios.