Skip to content

Learner detail page

The learner detail page is your one-stop view of a single learner in your cohort. You land here from the Bandeja (clicking the learner’s name on a row), from the assignments view, or from the learners list. Use it before a 1:1, when a pattern surfaces in the disagreement log, or when you just want to see how someone is doing.

Before you begin

  • You are signed in as a trainer.
  • The learner is part of a cohort under your trainer profile.

What you see

The page is laid out across four zones:

  • The radar. The learner’s current level on each of the eight sub-competencies, shown as Dreyfus bands (Novice → Advanced Beginner → Competent → Proficient → Expert). See the eight sub-competencies for what each dimension measures.
  • Recent engagements. A timeline of the last several engagements with the scenario, the date, and the status — closed with verdict, in progress, abandoned.
  • Pending verdicts on this learner. AI signals from this learner’s engagements that are still waiting on your verdict. Click any to open the verdict drawer.
  • Reflection notes. The learner’s own answers to reflection prompts from recent engagements. The richest qualitative signal you have.

How to read the radar

The radar is canonical — every level on it was placed by a stamped trainer verdict. The shape tells you where the learner is strong, where they are still working, and where you have not yet seen evidence. A flat-low dimension may mean they have not yet practised scenarios that exercise it, not that they are weak there.

For the meaning of each band and how levels move, see the eight sub-competencies.

Their path

The Path tab shows what scenarios are assigned next and what the target shape of the radar is for this learner’s role. The path generator that proposes the next scenario automatically is post-MVP; today the path tab is a manual view of what you and the admin have lined up. See target vector for what the target on each dimension means.

Using it for a 1:1

Open the page beside the learner. The transcript-rich combination — radar shape, recent reflections, pending verdicts — is the material for the conversation. Some habits worth borrowing:

  • Read the latest reflection aloud and ask what they would do differently.
  • Pick a dimension that did not move recently and ask what scenario they would want to try.
  • Show a pending verdict, share what you are about to render, and ask if anything in the dialogue contradicts that read.

When something doesn’t add up

  • The radar didn’t move after your verdict. Check the scenario’s weight matrix on that dimension. Some scenarios contribute lightly to some dimensions on purpose — a high-weight Decision-Making scenario may move Communication only a little. See weights.
  • An engagement is missing from the timeline. The engagement may be in progress (hasn’t closed) or abandoned (closed without reflection). Both states are valid; abandoned engagements produce no AI signals.
  • Reflection notes are sparse. Some learners write briefly. That is information, not failure — bring it to the 1:1 and invite more.