Talent Systems — Science Team
Competency Framework

Competency Categories

The four categories and how they map to different interview types.

Four Categories

CategoryCurrent UseFuture Use
BehavioralActive — all current interviewsCore interview type
SituationalDefined, not yet usedPhase 10 — "what would you do" hypotheticals
TechnicalDefined, not yet usedPhase 11 — domain-specific technical assessment
Post-HireDefined, not yet usedPhase 12 — stay/exit/onboarding interviews

How Categories Affect the System

Currently, category is informational only — it drives UI badges and filtering but does not change interviewer or scorer behavior. All competencies use the same scoring pipeline regardless of category.

Future state: When situational and technical interview types ship, the category will route to type-specific rubrics:

  • Behavioral competencies → behavioral interviewer + scorer rubrics
  • Situational competencies → situational interviewer + scorer rubrics (scoring hypothetical answers differently)
  • Technical competencies → technical interviewer + scorer rubrics (separating knowledge from communication)

AI Competency Generation

When employers use AI to generate competencies, the AI assigns a category based on the job description and context. The category also influences how AI generates questions for that competency — behavioral questions use STAR framing, while situational would use hypothetical framing (once enabled).

Your Input Needed

For Phase 10 (situational) and Phase 11 (technical), you'll need to define:

  • What makes scoring anchors different for situational vs behavioral
  • Whether technical competencies need domain-specific anchor sets
  • How the scorer handles mixed-category interviews

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