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Assessment types

Every skill is scored using an assessment type. Choose the one that matches how the skill is best observed. You can change a skill’s assessment type as your needs evolve.

A simple yes/no: did they demonstrate the skill or not. Best for clear, pass/fail behaviors.

A binary skill row scored with a single yes/no result.

A graded score (e.g. 1–5 or 0–100). Best when proficiency is a matter of degree.

A rating-scale skill row scored on a graded scale.

A skill whose score rolls up from its child skills. Use it to group and structure related skills into a tree that is easier to understand, while still tracking the parent capability as a whole (see skill trees).

A composite skill row whose score rolls up from its child skills.

Several yes/no trials rolled into a single score (e.g. “8 of 10 correct”). Fits skills that are best judged across repeated attempts rather than a single observation. In a Toastmasters session, for example, you could track how many times a speaker uses a filler word like “um.” That gives the speaker concrete evidence and lets you see whether the count is trending down over time.

A multi-trial skill row scored across several yes/no trials.

A yes/no that also records whether the person needed support to succeed. Instead of a flat pass/fail, you capture how independently the skill was performed:

  • +: did it correctly on their own.
  • P+: did it correctly, but only after you prompted or reminded them.
  • P-: could not do it even with a prompt.

This adds nuance to how effectively a skill is executed. When supervising someone running a Kanban or Scrum session, for instance, carrying out a step unaided is a +; needing a reminder before getting it right is a P+; and still not managing it after the reminder is a P-.

A binary-with-prompts skill row recording whether the skill was done independently or only after a prompt.

Start simple: use binary unless the skill genuinely needs nuance, and rating scale when proficiency is a matter of degree. Use composite to track a skill tree as a whole, and reach for an advanced type only when its particular scenario applies. You decide whether it’s worth the extra structure.