Employee Flight Risk Assessment
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Worried a key person might be getting ready to leave? Rate how strongly each known departure signal applies to them and get a flight risk score from 0 to 100, a plain-English read, and the factors driving it. It takes about a minute, and nothing you enter leaves your browser.
Flight-risk score
0/100Low risk
How to read it
Low risk
Few warning signs right now. Keep the good conversations going so it stays that way.
Rate the factors on the left to build the score.
A subjective checklist to prompt a supportive conversation, not a prediction about any individual. Nothing you enter leaves your browser.
How to use the flight risk assessment
Pick one person, ideally someone whose departure would genuinely set you back, and answer honestly. For each factor, choose No, Somewhat, or Yes based on what you actually know, not what you hope is true. The score updates as you go, and the result panel lists the signals contributing most so you know where to focus.
The ten factors are grouped into four areas, because flight risk almost never comes from a single cause. It builds when problems stack: someone's pay drifts below market and they get passed over and a reorg drops a new manager on them. Any one is survivable; together they push people to start looking.
What the factors mean
- Growth & recognition. The most common reason good people leave is a stalled path. No promotion, no raise, no honest growth conversation in a year is a loud signal, and being passed over for something they wanted is louder still.
- Pay & market. Below-market pay is a standing invitation, and it's sharpest for people in roles recruiters chase. You don't have to win every comp battle, but you should know where you stand.
- Manager & engagement. People don't leave companies so much as situations. A fraying manager relationship and a visible drop in engagement often show up together, and early.
- Workload & burnout. Burnout doesn't just make people less productive; it makes leaving feel like relief. Chronic overload and collapsing work-life balance are retention problems, not just wellbeing ones.
- Outside signals. A refreshed profile, a burst of new skills, more networking, or an “Open to Work” badge are the public tells that a search may already be underway. A recent trigger, a reorg, a new manager, a missed bonus, a big life change, is often what starts it.
For a deeper look at each of these, our guide to employee flight risk walks through what raises it and the retention moves that lower it, and the signs an employee is about to quit covers the behavioral tells in detail.
Turning a score into action
A number on its own changes nothing. The point of the assessment is to move you from vague worry to a specific next step while there's still time to take it.
- Low. Keep doing the boring, effective things: regular one-on-ones, real growth conversations, and fair pay reviews.
- Watch. Book a stay interview. Ask what would make them consider leaving and what keeps them here, then actually act on one thing they raise.
- Elevated or High. Move this week. Understand the real driver, fix what you can, and be honest about what you can't. If a departure still looks likely, use the lead time to plan a clean transition instead of scrambling after notice lands.
The honest limits of a checklist
A manager's read of a factor is a guess, and guesses carry bias. You might rate someone low because you like them, or high because one tense meeting is fresh in your mind. The score is only as good as the honesty behind it, so treat it as a conversation starter, not a label to hang on someone. It's also a snapshot: risk moves, so re-run it a few times a year and watch the trend rather than fixating on one result.
The biggest limitation is that it depends on you noticing. Outside signals, in particular, are easy to miss until someone's already halfway out the door. That gap between when the signals appear and when a busy manager notices them is exactly what predicting employee turnover from public data is meant to close.
Methodology & sources
The formula this calculator uses is shown in full above, and every assumption is an input you control. There are no hidden industry presets. All math runs in your browser; nothing you enter is stored or sent to a server. For the reasoning behind the formula and its edge cases, see:
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<p>Calculator by <a href="https://www.teampredict.ai/tools/employee-flight-risk-assessment">TeamPredict</a></p>Frequently asked questions
- What is an employee flight risk assessment?
- It's a structured way to judge how likely a specific employee is to leave in the near term. Instead of relying on a gut feeling, you rate how strongly each known departure signal applies to that person: stalled growth, below-market pay, disengagement, burnout, a strained manager relationship, outside signals like a refreshed LinkedIn profile, and recent triggers like a reorg. The tool weights those factors and returns a 0–100 score with a plain-English band. It's a prompt for a conversation, not a prediction about any individual.
- How is the flight risk score calculated?
- Each of the ten factors is scored No (0), Somewhat (1), or Yes (2), and multiplied by a weight that reflects how strongly it tends to precede a departure (growth, pay, and outside signals carry the most weight). The weighted points are divided by the maximum possible and expressed as a 0–100 score. The math runs entirely in your browser, and every input is a judgment you control: there are no hidden industry benchmarks.
- Is a high score a prediction that someone will quit?
- No. A high score means several of the patterns that often come before a resignation are present at once, which is a good reason to have a supportive conversation now, while you still have time. It is never proof that a particular person is leaving. People stay for reasons a checklist can't see, and people leave with no warning at all. Treat the score as a way to prioritize attention, not a verdict.
- What should I do if an employee scores as elevated or high risk?
- Start with a genuine conversation, not a counteroffer. A stay interview surfaces what's actually driving the risk (growth, pay, workload, manager fit) so you can address the real cause. Fix what you reasonably can, be honest about what you can't, and only then decide whether a retention offer makes sense. If a departure still looks likely, use the lead time to plan a smooth transition and a backup rather than scrambling after notice lands.
- Can I assess my whole team at once?
- This tool scores one person at a time, because flight risk is individual: the drivers for your senior engineer are rarely the drivers for a new hire in support. Run it for the handful of people whose departure would hurt most, and repeat it a few times a year rather than once. Watching how each person's score moves over time is far more useful than any single snapshot.
Turnover is cheaper to prevent than to calculate.
TeamPredict flags resignation risk early from public LinkedIn signals, giving you lead time to retain your best people before they hand in notice.
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