Performance review software that cuts your review cycle in half.
Stop spending 10 hours per manager on review writing. Confirm generates AI summaries backed by ONA data, detects bias in language and ratings, and facilitates fair calibration. The result: honest, fast, data-driven reviews that employees trust and managers can deliver in hours, not weeks.
Performance Review Software
Performance review season is broken, and everyone hates it.
Managers dread it. They spend 6-10 hours per review writing from memory. Employees dread it,they know the feedback they get depends on whether the manager remembers their wins. HR dread it,they spend weeks pushing managers to complete reviews, handling politics in calibration, and defending ratings.
And the reviews themselves are unfair. A study by CEB found that 60% of performance rating variance is driven by manager perception bias, not actual performance. A woman who mentored 5 people but didn't self-promote gets overlooked. A man who was visible but less impactful gets praised. Remote workers are rated lower than office workers doing equivalent work.
When employees don't trust the review process, they leave. Top performers especially. They know they're being evaluated unfairly, they lose faith in the system, and they search for somewhere that values them.
The fix isn't a better review form. It's grounding reviews in reality. Confirm's performance review software uses AI to synthesize reviews based on actual data (ONA collaboration patterns, goal achievement, multi-rater feedback). Bias detection catches unfair language and patterns before reviews are delivered. The result: reviews that are 50-80% faster to complete and dramatically more fair.
"[Confirm finds] which workers are vital to the flow of information."
"An effective way of reducing bias and creating an even playing field."
"[Confirm] creates a fairer playing field by expanding leaders' visibility."
AI summaries grounded in ONA data, not manager memory
Most reviews are manager opinions reconstructed from year-old memories. Confirm changes this: GPT-4 synthesizes performance data from ONA (what people actually did), goal achievement, 360 feedback, and manager notes into a coherent narrative. Managers then edit for accuracy and tone. The result: reviews that are grounded in evidence, not politics.
AI-generated first draft
Instead of starting from a blank page, managers review an AI summary grounded in ONA collaboration data, goal results, feedback, and historical context. 70-80% of the summary is typically accurate and ready to go.
Manager-controlled tone and accuracy
Managers always edit before delivery. Confirm shows data sources so managers can fact-check. If the summary misses context or personal qualities, the manager adjusts. AI is a tool, not a replacement.
Bias detection that catches unfair language and patterns
Confirm flags the five most common performance review biases: gender bias (women rated on personality, men on results), recency bias (over-weighting recent projects), similarity bias (rating people like you higher), halo effect (one strength overshadowing everything), and group bias (one team's ratings are consistently higher). Each flag comes with comparative data and a suggestion.
Language bias flagging
If a review says a woman 'is assertive' (often coded negative) while a man 'is a strong leader' (positive) for the same behavior, Confirm flags the inconsistency and suggests consistent language.
Pattern-level bias detection
If your engineering team consistently rates women 1 point lower than men despite similar ONA impact data, that's flagged. Prevents systemic bias that's invisible review-by-review but damaging career-by-career.
Calibration in hours. Not weeks.
Calibration,aligning ratings across managers and teams,is critical for fairness but takes forever. Confirm pre-loads calibration sessions with employee profiles (ONA data + review summaries + goal achievement), bias flags, and context. Managers arrive ready to make decisions, not to debate or reconstruct the year. Most teams complete calibration in 2-4 hours instead of 2-3 weeks.
Pre-built employee comparison profiles
Instead of debating who's stronger, managers see: 'Engineer A has 25% higher cross-team influence but missed OKR by 20%. Engineer B hit OKR but has less mentorship impact. Based on role and goals, Engineer A is higher rated overall.'
Real-time calibration dashboards
See rating distribution across teams as decisions are made. If one team's 'high performer' threshold is 1 point lower than another, that's visible and corrected immediately.
Frequently Asked Questions
What is performance review software?
Performance review software helps companies collect, organize, and deliver performance feedback to employees. Confirm's performance review software goes beyond traditional tools: AI generates summaries grounded in ONA data, bias detection flags unfair language before reviews are delivered, and calibration support ensures fair ratings across teams. The result: honest, fast, data-driven reviews that employees trust and managers can complete in hours, not weeks.
How much time does Confirm save on performance reviews?
Most companies spend 6–10 hours per manager on review cycles. Confirm cuts this to 2–3 hours. AI generates first-draft summaries grounded in ONA data and goal achievement. Managers edit for accuracy and tone rather than writing from scratch. Most teams complete their entire review cycle 50–80% faster than with legacy tools.
How does Confirm reduce bias in performance reviews?
Confirm uses Organizational Network Analysis (ONA) to provide objective performance data beyond manager perception. The platform also flags five common biases , gender, recency, similarity, halo, and group bias , with comparative data and specific suggestions. Calibration sessions anchored in ONA data further reduce the influence of any single manager's tendencies on final ratings.
How does Confirm's calibration support work?
Calibration sessions are pre-loaded with employee profiles combining ONA data, AI review summaries, and goal achievement. Managers arrive ready to make decisions with evidence, not debate from memory. Real-time rating distribution dashboards show when one team's threshold is misaligned with others. Most teams complete calibration in 2–4 hours instead of 2–3 weeks.
What makes Confirm different from Workday, Lattice, or Culture Amp?
Legacy tools digitize the same subjective, manager-rating-dependent process that's been broken for decades. Confirm is built from scratch around objective data: ONA measures actual collaboration and contribution, AI synthesizes performance context at scale, and bias detection actively flags unfair patterns before reviews are delivered. It's AI all the way through , not AI bolted onto an old process.
Explore the whole platform
Performance Reviews
Modern performance management powered by ONA and AI.
Explore this feature ›Engagement Surveys
Turn employee feedback into action, faster.
Explore this feature ›OKRs and Goals
Track OKRs and career goals in one place.
Explore this feature ›Talent Management
Make better talent decisions, without the bias.
Explore this feature ›Feedback and Growth
Empower continuous feedback and development.
Explore this feature ›Get the Performance Review Playbook
Master fair, bias-free performance reviews that employees trust. Learn how to ground feedback in data, facilitate productive calibration, and develop your team for the next level.
- How to structure reviews grounded in observable data
- Designing calibration sessions that prevent bias and politics
- Writing fair feedback that drives growth, not defensiveness
- Using ONA data to surface hidden contributions
- Tying reviews to compensation and development fairly
- Real performance conversations and lessons learned
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Playbook
Proven strategies
See Confirm in action
See why forward-thinking enterprises use Confirm to make fairer, faster talent decisions and build high-performing teams.
