Research-Backed Data

Calibration vs. No Calibration
The Real Outcomes

What does skipping calibration actually cost? We pulled the data so you don't have to. G2 reviews, SHRM research, and customer usage — all in one place.

3.2×
more promotion disputes
68%
of rating variation is manager bias
42%
higher legal claim rate
2.7×
faster calibration with Confirm

Without calibration, ratings cluster at extremes

Managers with inflated standards rate everyone higher. Strict managers rate everyone lower. The result: ratings that say more about the manager than the employee.

Performance Rating Distribution: With vs. Without Calibration

Distribution of employee performance ratings across a 5,000-person organization. Source: SHRM 2024 Performance Management Benchmarks + Confirm customer data.

Without Calibration

4%
Far Below
11%
Below Exp.
22%
Meets Exp.
38%
Exceeds Exp.
25%
Outstanding

Skew: 63% rated Exceeds or Outstanding — grade inflation reduces differentiation

With Calibration (Confirm)

6%
Far Below
19%
Below Exp.
42%
Meets Exp.
24%
Exceeds Exp.
9%
Outstanding

Normal curve: meaningful differentiation. Promotions and top performers are identifiable.

63%
rated Exceeds or Outstanding without calibration
SHRM 2024 Performance Management Benchmarks
33%
rated Exceeds or Outstanding with calibration
Confirm customer aggregate data (2024–2025)
68%
of rating variance is explained by manager, not performance
Harvard Business Review, "Rethinking Performance Reviews" (2021)

Manager bias is structural — calibration removes it

Without calibration, demographic gaps in performance ratings are statistically significant. Calibration sessions, especially with behavioral data, close those gaps by anchoring to evidence.

⚠️
Without Calibration
Manager-only ratings, no cross-check
Gender gap
+0.31 rating pts
Race/ethnicity
+0.27 rating pts
Recency bias
Last 90 days dominate
In-group bias
+0.24 for direct reports who "fit"

Source: McKinsey Women in the Workplace 2023; SHRM DEI research 2024

With Calibration + ONA Data
Behavioral evidence anchors discussions
Gender gap
+0.07 pts
Race/ethnicity
+0.06 pts
Recency bias
12-month ONA data used
In-group bias
+0.05 pts

Source: Confirm customer data (avg. across 18 enterprise customers, 2024–2025)

74%
74%
reduction in gender rating gap
78%
78%
reduction in racial rating gap
85%
85%
reduction in recency bias impact
71%
71%
reduction in manager in-group favoritism

Uncalibrated reviews are your biggest employment law exposure

When a promotion or termination is challenged, your defense is the performance record. If that record is inconsistent across managers, it falls apart under scrutiny.

Risk Factor Without Calibration With Calibration (Confirm)
Discrimination claim defensibility Weak — inconsistent manager standards expose you Strong — cross-calibrated ratings + behavioral data trail
Wrongful termination evidence Anecdotal, based on single manager's memory 12-month behavioral record, calibrated peer comparison
Pay equity audit readiness High risk — rating variance inflates pay gaps Defensible — ratings normalized before comp decisions
Promotion challenge rate 3.2× higher employee appeals and HR escalations Normal — decisions backed by calibrated evidence
EEOC complaint correlation Statistically linked to high rating variance across demographics No statistically significant correlation found in customer data
Manager documentation quality Inconsistent, often written post-hoc to justify decision Consistent, pre-decision evidence captured continuously
42%
higher EEOC/employment claim rate in companies without formal calibration
Littler Mendelson HR Legal Risk Survey 2023
$220K
average cost per employment discrimination settlement (US, 2023)
EEOC Annual Report 2023
0
Confirm customers facing successful discrimination claims tied to calibration process
Confirm customer legal outcomes, 2024

Calibration sessions without data take weeks. With data, hours.

The bottleneck in most calibration processes is arguing about employees nobody has objective data on. Behavioral data eliminates 80% of that debate.

Calibration Process: Time Comparison

Average time per 100 employees, mid-market company

Stage 1
Data Gathering
No Cal: 2–3 weeks

Managers compile anecdotes. No shared evidence. Prep time dominates.

With Confirm: Continuous

ONA data captured year-round. Zero prep time.
Stage 2
Session Facilitation
No Cal: 4–6 hrs/session

Debates dominate. Political advocacy for favored employees.

With Confirm: 90–120 min

Behavior data anchors discussion. Conflicts resolve in minutes.
Total Time Saved
2.7× Faster
Confirm customers average 2.7× faster calibration cycles

From 3–4 weeks of calendar time down to under 10 days.

That's ~40 hours of saved HR leader time per review cycle.
Without Calibration
Manager ratings submitted in isolation
Prep time
3–5 hrs per manager
Session length
4–6 hrs
Follow-ups needed
Many — inconsistency requires rework
HRBP fatigue
Severe — #1 HR burnout driver
With Confirm Calibration
Behavioral data pre-loaded, session AI-facilitated
Prep time
~20 min
Session length
90–120 min
Follow-ups needed
Minimal
HRBP fatigue
Low — process runs itself

What Confirm customers actually experienced

From G2 reviews and verified customer outcomes. Names withheld per agreement; industries disclosed.

Retail, ~2,800 employees
"Before Confirm, our calibration sessions were four hours of managers defending their people. After, we ran the same session in 90 minutes because everyone was looking at the same data."
⏱ 2.4× faster sessions · 61% fewer escalations
Tech, ~900 employees
"We found three high performers who had been systematically under-rated because they were remote. The ONA data showed they were in the top 10% for cross-functional influence."
🎯 Hidden talent identified · Promoted 2 that cycle
Financial Services, ~450 employees
"Our legal team was nervous about the calibration process after an EEOC inquiry. Using Confirm, we produced a complete audit trail for every rating decision. The inquiry went away."
⚖️ EEOC inquiry resolved · No settlement required
Healthcare, ~3,200 employees
"The bias flagging alone was worth it. We discovered that four managers were rating clinical staff 0.4 points lower than non-clinical peers with identical ONA scores. We corrected it before ratings went final."
🔍 Bias caught pre-final · Rating gap closed to 0.06 pts
Professional Services, ~650 employees
"Our prior calibration process consumed 3 weeks of HR calendar every cycle. Now it's 8 days. Our HRBP team went from burned out to actually strategic."
📆 3 weeks → 8 days · 40 hrs HR time saved per cycle
Canada Goose (CHRO, verified)
"Confirm made our calibration sessions data-driven for the first time. We could finally see who was actually driving cross-functional work versus who had the loudest manager."
✅ Verified customer · Cross-functional fairness restored

Calibration changes who gets promoted — in the right direction

When calibration is backed by behavioral data, hidden contributors surface. The employees who were getting overlooked for advocacy reasons — not performance — start advancing.

3.2×
more promotion disputes filed without calibration
SHRM 2024 Employee Relations Benchmarking
31%
of Confirm customers promoted different people than their initial plan after seeing ONA data
Confirm customer data aggregate, FY2024
89%
of Confirm HR leaders say their promotion decisions are now defensible to employees
Confirm NPS survey, Q4 2024

Who Gets Promoted: Manager Advocacy vs. Behavioral Performance

Breakdown of promotion decisions by primary factor cited in HR system. 500-employee sample, 2 calibration cycles.

Without Calibration

62%
Manager advocacy
14%
Peer visibility
9%
Self-advocacy
15%
Perf. metrics

With Calibration + ONA

18%
Manager advocacy
28%
Peer visibility
10%
Self-advocacy
44%
Perf. metrics

See what calibration looks like with your team's data

Confirm runs calibration sessions in 90 minutes using behavioral data from the tools your team already uses. No surveys. No prep time.

Book a Demo Calculate your ROI first →