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Performance
Performance Calibration Support
Analytics highlight rating distributions and outliers with supporting narratives.
The problem
Rating calibration sessions lack consistent evidence across managers.
The opportunity
Less time on lookup. A person still owns anything that affects someone's job.
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
Stale data, inherited bias, and privacy rules. Name a human who is accountable for career-affecting answers.
What implementation requires
Start with one process. Agree how you will score it. Involve legal and HR before you scale. Track whether people use it, not only whether the model is accurate.
Updated 2026-08-09