Performance management built for remote teams — not retrofitted for them.
Run fair performance reviews across timezones with async feedback, passive collaboration data, and AI that works 24/7. No more timezone chaos. No more visibility bias. Just evidence-based performance management for distributed teams.
Remote performance reviews are broken — and your tool isn't fixing it.
Your remote employees are working across six timezones. Your review cycle assumes everyone sits in the same office. The math doesn't work.
Here's what actually happens: You schedule calibration meetings that force someone to join at 6 AM or 10 PM. You ask managers to remember what their remote reports did six months ago without documentation. You watch in-office employees get rated higher than remote ones despite identical output, because presence bias is invisible to tools built for co-located teams.
Adding a "remote work" field to your legacy performance platform doesn't solve this. The underlying process still assumes synchronous collaboration, manager observation, and real-time feedback. That's not how remote teams work.
We built Confirm for distributed teams from day one. Async reviews. Passive collaboration measurement. AI that works in every timezone. Documentation-first feedback that survives handoffs and manager changes. This is performance management that respects how remote teams actually operate.
Remote-first companies at Canada Goose · USANA · Thoropass · Ardurra trust Confirm
Async performance reviews that actually work
Remote teams don't need more Zoom meetings — they need performance processes that respect timezone boundaries. Confirm's async review workflow lets employees submit self-reviews on their schedule, peers provide feedback without coordination overhead, and managers finalize reviews without real-time meetings. AI generates evidence-based summaries from continuous ONA data, so nothing gets lost when feedback happens across time and space.
No-meeting review cycles
Every step of the review process works asynchronously. Self-reviews, peer feedback, manager summaries, and calibration prep all happen without scheduling a single synchronous call. Launch reviews across 8 timezones and complete in 2 weeks instead of 6.
AI summaries available 24/7
Managers in any timezone can request AI-generated review summaries grounded in 6-12 months of ONA data. No waiting for teammates to wake up. No relying on memory. Just instant, evidence-based context whenever you need it.
ONA eliminates remote visibility bias
The biggest challenge in remote performance management isn't measuring output — it's measuring contribution when managers can't see it. Confirm's Organizational Network Analysis passively tracks who people work with, who they enable, and what cross-functional outcomes they drive from Slack, email, GitHub, and calendar. Remote workers and in-office workers show up in the same data. Presence bias disappears when the evidence is objective.
Passive collaboration tracking
ONA runs continuously from the tools remote teams already use. No activity monitoring, no surveillance — just aggregate patterns of who helps whom and who drives outcomes. Remote contributors who enable three other teams become visible even if they never speak up in meetings.
Remote vs. in-office equity
Confirm's AI bias detection flags when remote employees receive lower ratings than in-office employees despite equivalent ONA contribution scores. Visibility bias becomes measurable — and fixable.
Documentation-first feedback culture
Remote performance management fails when feedback lives in scattered Slack threads, unrecorded 1:1s, and manager memory. Confirm makes documentation the default: every piece of feedback, every check-in, every calibration decision gets captured and linked to ONA evidence. When managers change or employees switch teams, performance context travels with them. Nothing gets lost in the handoff.
Continuous feedback threads
Real-time feedback happens in Slack and Teams where remote work already occurs. Confirm captures it automatically, structures it, and surfaces it during reviews. Ad-hoc praise and coaching become part of the formal performance record.
Async check-ins that persist
Check-ins don't require synchronous meetings. Managers ask questions, employees respond on their schedule, and AI organizes the conversation into actionable themes. Six months later, the full context is still there.
Timezone-friendly calibration in hours, not days
Calibration meetings are the worst part of remote performance reviews: finding a time when leaders across six timezones can meet for 3 hours. Confirm's AI pre-packages all calibration data — performance distributions, outlier flags, equity analysis — so synchronous meetings take 30-45 minutes instead of half a day. Or run calibration entirely async with AI recommendations and threaded discussion.
AI calibration prep
Before calibration starts, AI identifies rating inflation, deflation, and bias patterns. Leaders see the data before the meeting — or before the async discussion — so the conversation focuses on decisions, not data gathering.
Async calibration workflows
For fully distributed teams, run calibration asynchronously: AI flags edge cases, leaders comment and vote in threads, and final ratings lock after everyone has weighed in. No 6 AM meetings required.
"[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."
Explore the whole platform
Performance Reviews
Modern performance management powered by ONA and AI.
Learn more ›Engagement Surveys
Turn employee feedback into action, faster.
Learn more ›OKRs and Goals
Track OKRs and career goals in one place.
Learn more ›Talent Management
Make better talent decisions, without the bias.
Learn more ›Feedback and Growth
Empower continuous feedback and development.
Learn more ›See Confirm in action
See why forward-thinking enterprises use Confirm to make fairer, faster talent decisions and build high-performing teams.
