Turnover Intent

Turnover intent refers to the self-reported likelihood that an employee will voluntarily leave their organization within a defined time horizon — typically the next six to twelve months. It is measured through survey questions such as "I am actively looking for a job at another company" or "I plan to be working at this organization in twelve months (reverse-scored)." Unlike actual attrition data, which is a lagging indicator — recording departures that have already happened — turnover intent is a leading indicator that HR can act on. Sustained high turnover intent in a team or business unit, even if no one has left yet, is a strong predictor of future voluntary attrition and the organizational disruption that comes with it.

Why it matters for HR and People Ops teams

Voluntary turnover costs organizations between 50% and 200% of an employee's annual salary when recruiting, onboarding, and productivity-loss costs are factored in. For HR, the ability to identify flight risk before employees actually leave is enormously valuable. Turnover intent data allows People Ops to prioritize retention conversations, target stay interviews to at-risk segments, and test whether specific programs are reducing intent over time. It also exposes structural drivers — compensation gaps, manager problems, role clarity issues — that attrition data can't diagnose because the information leaves with the employee. Segmenting intent by role, manager, and tenure reveals where the highest-cost flight risks are concentrated.

How it works

1. Include validated turnover intent items in engagement surveys — typically two to four questions measuring active job seeking, plan to stay, and organizational commitment.
2. Calculate the percentage of the workforce at high, medium, and low turnover risk based on response patterns.
3. Segment intent scores by department, manager, tenure, role level, and performance tier to identify high-cost flight risk populations.
4. Correlate intent scores with driver analysis to understand what engagement factors are most strongly associated with intent to leave.
5. Prioritize stay interviews or targeted manager conversations for employees in high-risk segments.
6. Track whether interventions — compensation adjustments, development opportunities, role changes — reduce intent scores in subsequent survey cycles.

How employee engagement software supports Turnover Intent

Engagement platforms embed turnover intent items in surveys and automatically calculate flight risk scores at the individual (anonymized) and team level. Predictive analytics features cross-reference survey responses with HR system data — tenure, performance ratings, compensation lag — to build attrition risk models. HR business partners can receive automated alerts when a team's intent score crosses a threshold, triggering retention action before departures occur.

• Turnover intent survey items — Validated questions measuring active job seeking and organizational commitment embedded in engagement surveys.
• Flight risk scoring — Aggregates survey responses and HRIS signals into a risk score per team or segment without exposing individual data.
• Predictive attrition modeling — Combines engagement data with HR system variables (tenure, compa-ratio, time since promotion) to predict departure probability.
• Manager alert thresholds — Notifies HR or HRBPs when a team's turnover intent score exceeds a defined threshold.
• Driver correlation analysis — Identifies which engagement factors most strongly predict intent to leave, directing retention intervention priorities.
• Cohort tracking — Monitors intent trends for specific populations (new hires, high performers, promoted employees) over time.

Related terms

• eNPS — Employee Net Promoter Score; employees with low advocacy scores (Detractors) typically show elevated turnover intent.
• Driver Analysis — Identifies which engagement factors are most strongly correlated with turnover intent, directing retention strategy.
• Stay Interview — A structured conversation with employees to understand what would retain them, often triggered by elevated turnover intent signals.
• Employee Engagement Score — Composite engagement metric inversely correlated with turnover intent — lower engagement predicts higher intent.
• People Analytics — Data discipline that uses turnover intent alongside HRIS and performance data to build predictive attrition models.