Spot Flight Risk in Top Performers Early
An early read on flight risk buys time to act while a top performer's decision is still open. By the time someone gives notice the choice is usually made, and a counteroffer is a poor substitute for addressing the cause months earlier. A current, honest picture of who would be most costly to lose, and why each person might go, turns retention from a reaction into a plan. The signals are there, a drop in energy, a refreshed profile, pay slipping behind market, for a manager watching for them.
Proficiency Level
This is a preview of how skill assessment works in Admire
Measurable Behaviors
Behaviors are optimized to be directly observable for evidence-based skill tracking.
Identify the team's top performers and flight-risk priorities each planning cycle
Reviews the team each quarter and records who carries the most critical knowledge, output, and relationships, judged by criticality rather than tenure.
Maintain a shared retention-risk view that feeds succession planning
Keeps a living retention-risk view that informs succession plans and cross-training, and updates it as conditions change.
Note changes in a top performer's engagement when they appear
Records the specific shift when an engaged performer withdraws, going quiet or dropping discretionary effort, while the change is still fresh.
Rank retention risk by impact and likelihood before each planning cycle
Combines how costly a person would be to lose with how likely they are to leave into an explicit priority order that directs where retention effort goes.
Track outside pull signals for at-risk performers
Logs outside-pull signals such as a refreshed profile, recruiter activity, or a peer's exit against that person's risk picture as they appear.
This is a preview of how behavior tracking works in Admire
What Mastering Flight-Risk Detection Looks Like
Mastery is a living, ranked view of retention risk that other leaders trust enough to act on. Engagement and outside-pull signals are logged while fresh, risks are ranked by impact and likelihood each cycle, and the view feeds succession and cross-training decisions rather than sitting in a private spreadsheet.