Keep Your Best People. Before They Leave.
Spot disengagement months before resignation. Use ONA data to identify flight risks early, coach managers on retention, and prevent costly turnover.
By the time someone tells you they're leaving, the decision's already made.
You're shocked. "I had no idea they were unhappy." But the warning signs were there for months. They declined stretch assignments. They stopped contributing ideas. Their collaboration dropped 40%. You attributed it to burnout. You didn't realize they were mentally checked out because you couldn't see the network shift.
This is the retention trap most companies fall into. You react after they resign, trying to counter with a raise. By then, they're already gone. The cost? 50-200% of their annual salary per departure. Lose five strong performers and you've wasted $250K-1M—not counting the team damage, knowledge loss, and morale hit.
But here's what changes everything: retention is predictable. You can intervene before they decide to leave.
"[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."
Detect flight risks months before resignation
Stop waiting for exit interviews to learn why people left. See the early warning signals in real time—collaboration drops, engagement shifts, network isolation. Intervene before they're already gone.
Catch disengagement early
Monitor behavioral and network changes that predict turnover. Act when someone's still deciding, not after they've decided.
Understand the warning signs
See what actually correlates with flight risk: collaboration patterns, project isolation, influence changes, engagement decline.
Coach managers to retain their best people
Managers often don't see the warning signs until it's too late. Give them the data and tools to have meaningful retention conversations before strong performers check out.
Guide retention conversations
Provide managers with actionable insights: What's the actual issue? What growth path are they missing? How do we re-engage them?
Enable proactive intervention
Turn reactive counter-offers into proactive conversations. Show employees a path forward before they start interviewing elsewhere.
The ROI of Early Detection
Recruiting, hiring, onboarding, and lost productivity
vs. discovering after resignation
Observable in network data before they resign
Early detection of just five at-risk employees could save $250K-1M annually. For a $100M company, preventing 2% turnover of high performers pays for the platform 10x over.
Build data-driven retention strategies
Retention isn't random. Strong performers leave for specific reasons. Use data to identify patterns—What roles have highest turnover? Which managers lose people? What engagement levels predict departure? Build targeted retention strategies based on evidence.
Identify retention patterns
See which departments, managers, roles, or demographics have higher turnover. Understand the root causes, not just the departure rate.
Target high-impact interventions
Focus retention efforts on the people and situations that matter most. Fix the real problems instead of band-aid solutions.
Create clear growth paths so people don't leave to move up
The #1 reason people leave is lack of growth. When employees don't see a path forward, they check out and look elsewhere. Make career progression transparent and meaningful.
Show career progression
Help employees understand what's required to move to the next level. Uncertainty drives departures; clarity drives retention.
Enable meaningful growth conversations
Managers can show disengaged employees exactly how to develop and advance. This re-engages people who thought they were stuck.
Customer Story
See how companies prevent turnover with early flight risk detection
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See why forward-thinking enterprises use Confirm to make fairer, faster talent decisions and build high-performing teams.
