Float Pool Metrics: 9 KPIs to Track Fill Rate, Cancellations, and Cost per Hour


The float pool metrics worth tracking are fill rate, time-to-fill, cancellation rate, utilization, cost per hour, overtime share, reliance on outside agency labor, credential and competency readiness, and float staff retention. Together they show whether a float pool for hospitals is covering shifts reliably, at a sensible cost, without burning out the people in it.
This guide defines nine KPIs with formulas, shows a monthly scorecard layout and explains how to read the numbers. We do not give target ranges, because credible public benchmarks for float pools are scarce and units differ. Set your targets from your own baseline over the first three months.
What are the most important float pool metrics to track?
Each metric answers one question a nurse manager or staffing director asks. The table gives the definition and formula.
KPI | The question it answers | Formula |
1. Fill rate | Are requested shifts being covered? | Float shifts filled ÷ float shifts requested |
2. Time-to-fill | How fast does a request become a confirmed shift? | Average time from request to confirmed assignment |
3. Cancellation rate | How often are float shifts cancelled, and by whom? | Cancelled float shifts ÷ booked float shifts, split by unit-cancelled and staff-cancelled |
4. Utilization | Are float staff working the hours they are paid or scheduled for? | Productive hours worked ÷ paid or scheduled hours |
5. Cost per hour | What does a float hour cost compared with alternatives? | Wages, benefits and program admin ÷ productive hours |
6. Overtime share | Is the pool relying on overtime to cover demand? | Overtime hours ÷ total float pool hours |
7. Outside agency reliance | How much coverage still comes from external staffing? | Agency hours ÷ total hours covering the same requests |
8. Credential and competency readiness | Can float staff safely work the units they are sent to? | Float staff with current credentials and unit competencies ÷ total float staff, by unit |
9. Float staff retention | Are people staying in the pool? | Departures from the pool ÷ average pool headcount, over 12 months |
Key takeaway for operations leaders: no single KPI tells the story. A high fill rate with high overtime and high cancellations means the pool is working, but at a cost the unit managers will notice.
How do you calculate fill rate, cost per hour and utilization? A worked example
The numbers below are illustrative, not benchmarks.
Fill rate: units requested 200 float shifts in a month and 170 were filled. 170 ÷ 200 = 85%.
Cost per hour: the pool cost $48,000 in a month (wages, benefits and admin) for 1,200 productive hours. $48,000 ÷ 1,200 = $40 an hour.
Utilization: float staff were scheduled for 1,400 hours and worked 1,200 productive hours. 1,200 ÷ 1,400 = about 86%.
Read these together. If fill rate is 85% and 15% of requests go unfilled, ask how those shifts were covered. If the answer is outside agency staff or overtime, add those hours and costs to the comparison. A float hour that costs $40 can still be the cheaper choice if the alternative is a premium rate, but you only know after measuring both on the same basis.
Common operational mistake: calculating cost per hour from wages alone. Include benefits, scheduling and coordination time, orientation and cross-training. Leaving them out makes the pool look cheaper than it is.
Which float pool metrics reveal problems early?
Three metrics usually move first:
Time-to-fill rises when requests arrive late or eligible staff are hard to find. It is the early warning.
Cancellation rate shows friction. High unit-cancelled rates point to forecasting or census issues. High staff-cancelled rates point to scheduling, pay or engagement issues.
Credential and competency readiness reveals units where float staff are not cleared to work. Low readiness slows assignment and puts coverage at risk.
Fill rate often looks fine until the other three slip. Watch the leading signals first and review fill rate as an outcome.
For background on running the program, see our guides to float pool management for health systems, what a float pool is, how a float pool reduces staffing shortages and building your own float pool.
What should a monthly float pool scorecard look like?
Keep it to one page. Show each KPI, its owner and the trigger for action.
KPI | Review cadence | Owner | Action trigger (set from your baseline) |
Fill rate | Weekly | Float pool coordinator | Falls below your three-month average for two weeks |
Time-to-fill | Weekly | Float pool coordinator | Rises for two weeks in a row |
Cancellation rate | Monthly | Nurse manager and coordinator | Either split rises |
Utilization | Monthly | Staffing director | Drops below your baseline |
Cost per hour | Monthly | Finance and staffing director | Moves above the alternative cost |
Overtime share | Monthly | Staffing director | Rises for two months |
Outside agency reliance | Monthly | Staffing director | Rises after a pool change |
Readiness | Monthly | Educator or credentialing lead | Any unit falls below full coverage |
Retention | Quarterly | HR and nurse manager | Departures cluster in one unit |
Pro tip for staffing agencies: if you supply clinicians to a hospital's float pool, offer these metrics in your regular client review. Clients rarely ask for them, and it shows you understand the operation.
Where does Vars Health fit in float pool measurement?
Vars Health is healthcare staffing software for agencies. It is not a staffing firm. Agencies use it to run scheduling, credentialing and timekeeping, and those records supply the inputs for float pool metrics.
Consider a coordinator who builds the monthly scorecard from three places: a request log in email, a schedule in a spreadsheet and hours from a timekeeping export. Counting fills, cancellations and hours takes days, and the numbers arrive after the month has closed. When requests, assignments, cancellations and approved hours sit in one system, the same counts come from the record. Credential status per unit is visible alongside the schedule, which supports the readiness metric.
The effect is on visibility: the metrics come from the data instead of manual tallies. Confirm with any provider, Vars Health included, which of the nine KPIs its reports produce and which need an export.
What should you fix first and what can wait?
Fix first: agree the definitions. "Filled" and "cancelled" mean different things to different units. Write one definition for each.
Next: start with four KPIs: fill rate, time-to-fill, cancellation rate and cost per hour. Add the rest as the data becomes reliable.
Later: retention and agency reliance trends, which need several months of history.
Software will not agree your definitions or decide who owns each metric. That is a management task. It will make the numbers easier to produce and harder to dispute. Our post on reducing overtime through scheduling covers one lever behind the overtime share.
FAQs
What is the most important float pool metric?
Fill rate, because it shows whether units get the coverage they ask for. Read it alongside time-to-fill and cancellation rate.
How do you calculate float pool cost per hour?
Add wages, benefits and program administration costs, then divide by productive hours worked. Compare the result with the cost of overtime and outside agency staff on the same basis.
What is a good float pool fill rate?
There is no reliable public benchmark. Set your target from your own three-month baseline and review it by unit.
How often should float pool metrics be reviewed?
Weekly for fill rate and time-to-fill, monthly for cost, utilization and overtime, and quarterly for retention.
Can a float pool reduce agency staffing costs?
It can, if the pool covers shifts that would otherwise go to premium-rate agency staff. Measure outside agency reliance and cost per hour to confirm.
What software features support float pool tracking?
Request and assignment records, credential status by unit, cancellation tracking, timekeeping and reports that export the fields behind each KPI.
Conclusion
Float pool metrics turn a busy program into one you can manage. Start with fill rate, time-to-fill, cancellation rate and cost per hour, define each term in writing and review them on a fixed schedule.
A realistic next step: pick the four starter KPIs, write one definition for each and calculate them for last month from your existing records.



