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Performance

Performance Calibration Support

Analytics highlight rating distributions and outliers with supporting narratives.

ProductionEvidence: Weak

The problem

Rating calibration sessions lack consistent evidence across managers.

The opportunity

AI can reduce repetitive effort and surface options humans still decide — when grounded in the right data and oversight.

What the solution does

Analytics highlight rating distributions and outliers with supporting narratives.

How it works

Performance data and feedback summaries are packaged for calibration discussions.

Who uses it

  • Managers
  • Employees
  • HRBPs

Data required

  • Relevant HRIS / ATS records
  • Role or policy context
  • Access and consent rules

AI / technology patterns

  • Classification
  • LLM
  • Summarization

Reported impact

No independently reported impact recorded for this item yet.

Impact categories

  • Quality
  • Decision support

Limitations and risks

Bias inheritance, stale data, privacy obligations and over-automation of people decisions. Keep humans accountable for outcomes that affect careers.

What implementation requires

Start narrow, define evaluation criteria, involve legal/HR governance early, and measure adoption plus quality — not only model accuracy.

Updated 2026-08-09