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See who's being recognized — and who's being overlooked. Hear maps recognition patterns to surface invisible contributors before they walk out the door.
In remote teams, employee recognition is deeply uneven. The engineer who presents at the all-hands gets praised. The one who reviews 30 PRs a week, writes onboarding docs, and mentors juniors in DMs? Invisible. This isn't malice — it's the fundamental recognition gap of distributed work.
Traditional recognition tools — peer kudos platforms, shout-out channels, award systems — all depend on someone remembering to act. The result is a popularity contest, not a meritocracy. Loud contributors get noticed. Quiet ones don't. And the quiet ones are often the glue holding everything together.
The cost of this gap is quiet attrition. Your best utility players — the ones everyone depends on — leave for companies that see them. Not because the work was bad, but because nobody told them they mattered. By the time you realize what you lost, they're already onboarding somewhere else. This is the retention crisis hiding in plain sight.
Hear identifies organic recognition events — praise in messages, emoji reactions, thank-you threads — and quantifies who's being celebrated and how often. No manual tagging required.
See who recognizes whom. Identify recognition clusters, blind spots, and team members who give far more than they receive. The network graph reveals the social dynamics surveys never capture.
High activity + low recognition = flight risk. Hear flags invisible contributors — people doing critical work that nobody acknowledges. These are the people you can't afford to lose and don't know you're losing.
Weekly digests highlighting who's making the biggest impact across collaboration, helpfulness, and knowledge sharing. Give managers the data they need to recognize the right people at the right time.
Hear surfaces the invisible contributors holding your team together — so you can recognize them before they leave.
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