Fintra Feature

See flight risk before the resignation letter

By the time someone quits, the moment to retain them has passed. Fintra surfaces explainable flight-risk signals early, so managers can act while it still matters.

What attrition prediction does

Fintra combines signals already in the system (engagement trend, performance, compensation position, tenure, and growth stagnation) into an explainable flight-risk indicator. It’s designed to prompt a caring conversation, not to profile people: flags are explainable and reviewed by a human.

  • Flight-risk signals from data you already have
  • Explainable drivers behind each flag
  • Team-level trends, not just individuals
  • Human-reviewed: a prompt to act, not a verdict

What drives a flag

SignalWhy it matters
Engagement declineFalling sentiment precedes exits
Comp below bandUnder-market pay drives churn
Growth stagnationNo visible path forward
Tenure milestoneCommon departure points
Attrition signals

A retention tool, not a surveillance tool

Connected to the levers that fix it

  • Draws on engagement/eNPS trends
  • Points to comp and career-ladder actions
  • Rolls into people-risk and workforce intelligence

Questions people ask

What data does attrition prediction use?

Signals already in Fintra: engagement trends, performance, compensation position relative to band, tenure, and growth stagnation. It doesn’t require new surveillance; it connects data you already have into an explainable indicator.

Is this fair to employees?

It’s built as a retention tool, not a label. Flags are explainable and human-reviewed, and they point to concrete fixes (pay, growth, workload) so the outcome is a supportive conversation rather than a mark on someone’s record.

Can managers actually act on it?

Yes, because the drivers are explicit, a flag points to a lever: a comp adjustment, a clearer career path, or a workload conversation. It connects directly to the comp cycle and career ladders.

Does it predict at the team level too?

Yes. Beyond individual flags, it surfaces team-level trends, so you can spot a team where morale is slipping and address the systemic cause, not just individual cases.

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Act before your best people leave

Talk to us: we will map it to your stack. Surface explainable flight-risk signals and the fixes that address them.