Every administrator knows what turnover feels like: the open shifts, the extra orientation, the strain on the people who stay. What is less commonly done is looking at turnover as a pattern in data, one that begins well before a resignation letter. Tenure, schedule and workload data can point to risk early enough to do something about it.
The goal is not to predict who will leave. It is to find the conditions that make leaving more likely and improve them, especially for new hires in their first months.
Start with tenure curves
A simple and powerful view shows what share of new hires are still employed at 30, 60, 90 and 180 days. Break it out by role, unit and shift. If a large share of departures happens in the first 90 days, the issue probably lies in recruitment fit, orientation, or early scheduling. If departures are spread among longer-tenured staff, workload, pay and culture may be bigger factors.
Comparing cohorts by hire month also shows whether recent changes have helped.
Look at what the early schedule looks like
New staff often get the least desirable shifts, a high number of weekend or night assignments, or schedules that change from week to week. Scheduling data can show:
- Share of new hires working weekends in their first month
- Schedule changes made after publication
- Consecutive days worked and rest between shifts
- Hours worked relative to what was expected at hire
These views invite practical questions. Are we asking our newest people to carry the hardest schedule? Are they getting predictable shifts?
Check orientation and preceptor coverage
If your scheduling data shows who orients whom, you can look at how often new hires worked with a preceptor, how many different preceptors they had, and whether orientation shifts were canceled to cover gaps. Consistency tends to matter, so a pattern of interrupted orientation deserves attention.
Watch for overload signals
Overtime, short rest between shifts, and frequent call-in coverage requests can be signs of strain. Review these for new hires and for all staff. A hypothetical example: if new aides on one unit regularly cover extra shifts during their first month, the unit may be leaning on the newest people to bridge gaps.
Add the human context
Data cannot tell you why someone is struggling, but it can prompt a conversation. Consider a structured check-in with each new hire at set points, such as the end of the first week, 30 days and 90 days. Use scheduling data to prepare: has the person had a stable schedule, adequate orientation and reasonable hours? Then ask directly what would make the job better.
Exit interviews are valuable, but stay interviews are better. Ask current staff what keeps them and what might make them leave.
Build a simple retention dashboard
A one-page view might include:
- Turnover rate by role and unit, with a trend
- Retention at 30, 60, 90 and 180 days for recent cohorts
- New-hire schedule characteristics, such as weekend share and schedule changes
- Open positions and days to fill
- Overtime and agency share, which both reflect the effect of turnover
Review it monthly with department heads and the administrator, and choose one improvement to try each cycle.
Turn insights into practice
Examples of actions the data might support, depending on your building:
- A more predictable schedule for the first 60 days
- Protected orientation shifts that are not canceled to fill gaps
- A named mentor beyond the preceptor
- Check-ins at defined points, with notes tracked
- Recognition for the first milestones
None of these require a large budget. They require attention, which data helps focus.
Be careful with privacy and fairness
Employee data is sensitive. Limit access to those who need it, aggregate where possible, and use the data to improve conditions, not to profile individuals. Make sure that analyses do not lead to unfair treatment of any group. When in doubt, consult HR and legal counsel.
Measure what changes
After you make an improvement, track the next cohort. A change in tenure curves takes months to appear, so be patient and keep the measurement consistent. Share progress with staff so they see that their feedback leads to action.
The connection to resident care
Continuity of caregivers matters to residents and families. Staff who stay learn residents' preferences and notice small changes. Retention is therefore both a financial concern and a care quality concern, and treating it as a measurable operating priority is a reasonable investment of leadership attention.
Where CarePulse fits
CarePulse can combine HR, payroll and scheduling data into tenure and retention views for each building and for the group. If you would like to see how your own cohorts look, we would be glad to walk you through a demo.