I Know Who's Going to Resign Next. Their Calendar Already Told Me.
By the time someone resigns, the decision is months old. The surprising part is how visible that decision is in the data well before the conversation happens. Calendars, focus patterns, and engagement trends quietly forecast departures — if you know what to look for, and you use it to help.
Resignations Are More Predictable Than You Think
People rarely quit on impulse. The decision forms over weeks or months of accumulating disengagement, and that accumulation leaves a trail. Workforce research consistently finds that attrition is preceded by measurable behavioral change — which means it can be anticipated and, often, prevented.
The point of seeing it early is not to manage someone out. It is to intervene while you still can.
The Calendar Tells the Story First
A calendar is a map of where someone is investing their attention. As people disengage, the pattern shifts: fewer optional and cross-team meetings, declining participation in long-term planning, a retreat from initiatives that pay off months out, and a quiet narrowing toward only what is strictly required.
Combined with productivity trends — falling focus time, shrinking scope, less proactive collaboration — these shifts form a recognizable pre-departure signature.
Engagement & Wellbeing — This Week
Weekly trend
Breakdown
▼ After-hours work down 30% after rebalancing workloads.
Illustrative eMonitor dashboard.
The Cluster of Pre-Resignation Signals
No single metric predicts a resignation. The forecast comes from a cluster: declining engagement scores, reduced discretionary effort, withdrawal from future-facing work, and often a late spike in after-hours activity as the person interviews or wraps up. Our guide on retention prediction with monitoring data goes deeper on modeling this.
Read together over time, these patterns give you a window of weeks to act.
Reach People Before They're Gone
eMonitor surfaces the engagement and activity trends that precede resignations, giving you weeks to retain your best people instead of replacing them.
Using This Power Responsibly
Predicting departures is sensitive. Used badly — to pre-emptively sideline or punish someone — it is both unethical and self-fulfilling. Used well, it is one of the most humane applications of workforce data: it lets you reach out before a great employee is gone.
Keep the analysis at the level of trends, act through conversation and support, and never treat a prediction as a verdict. The signal is an invitation to care, not to control.
Turning the Forecast Into Retention
When the data flags a flight risk, the response is simple and human: a genuine conversation, a look at workload and growth, real recognition, and a path forward. Most at-risk employees are not yet committed to leaving; they are waiting to see if anything changes.
The calendar told you early. What you do with that knowledge is what actually keeps people.