OnLocum Docs

Dashboard Analytics

Track staffing metrics, fill rates, and spending trends.

Dashboard Analytics

OnLocum provides comprehensive analytics to help you track staffing performance, optimize costs, and make data-driven decisions. This guide covers all available metrics and reporting features.

Key Metrics Overview

Dashboard Summary

Your main dashboard displays:

MetricDescription
Shifts PostedTotal shifts posted this period
Fill RatePercentage of shifts successfully filled
Average Time to FillHow quickly shifts get filled
Total SpendTotal invoiced amount
Workers UsedUnique workers who completed shifts
Average Rating GivenYour average rating of workers

Quick Stats

At-a-glance indicators:

  • This Week - Current week performance
  • This Month - Month-to-date metrics
  • vs Last Period - Comparison with previous period
  • Trend Indicator - Up/down arrows showing direction

Tip

Click on any metric card to drill down into detailed data and trends.

Fill Rate Tracking

Understanding Fill Rate

Fill rate measures how successfully you're finding workers:

Fill Rate = (Filled Shifts / Total Shifts Posted) x 100

A healthy fill rate is 90%+ for standard shifts, 75%+ for specialized roles.

Fill Rate Breakdown

View fill rate by:

  • Time period - Daily, weekly, monthly, yearly
  • Department - Compare across your facility
  • Service type - Nursing, CNA, specialized roles
  • Shift timing - Day, evening, night, weekend

The trend chart shows:

  • Historical fill rate over time
  • Seasonal patterns
  • Impact of rate changes
  • Comparison to facility average

Improving Fill Rate

Analytics show factors affecting fill rate:

  • Rate competitiveness - How your rates compare to market
  • Lead time - Shifts posted in advance perform better
  • Requirements - Overly strict requirements reduce applicants
  • Response time - Faster application review improves matching

Worker Performance Metrics

Worker Overview

Track your workforce:

MetricDescription
Total Workers UsedUnique workers this period
Repeat WorkersWorkers with 2+ shifts
Float Pool SizeWorkers in your trusted pool
New WorkersFirst-time workers at your facility

Performance Distribution

See how workers perform:

  • Rating distribution (5 star, 4 star, etc.)
  • Punctuality statistics
  • Cancellation rates
  • Hours completed

Top Performers

Identify your best workers:

  1. Go to Analytics > Worker Performance
  2. View leaderboard by:
    • Shifts completed
    • Average rating
    • Reliability score
  3. Consider adding top performers to your float pool

Worker Retention

Track whether workers return:

  • Repeat booking rate
  • Average shifts per worker
  • Worker satisfaction (from their ratings of you)
  • Float pool growth

Cost Overview

Track all spending:

MetricDescription
Total SpendAll invoiced amounts
Worker PaymentsAmount paid to workers
Platform FeesOnLocum fees
Average Cost per ShiftTotal spend / shifts filled
Average Cost per HourTotal spend / hours worked

Spending Analysis

View costs broken down by:

  • Department - Which units spend most
  • Service type - Cost by worker type
  • Shift timing - Premiums for nights/weekends
  • Time period - Monthly, quarterly, yearly trends

Budget vs. Actual

If you've set budgets:

  • Current spend vs. budget
  • Projected end-of-period spend
  • Over/under budget alerts
  • Department-level tracking

Cost Optimization Insights

Analytics suggest ways to reduce costs:

  • Optimal posting lead time
  • Rate recommendations by time slot
  • Float pool utilization suggestions
  • Seasonal staffing patterns

Note

Cost optimization suggestions are based on your historical data and platform-wide trends. Review recommendations regularly.

Time-Based Analytics

Response Time Metrics

Track how quickly things happen:

MetricDescription
Time to First ApplicantFrom posting to first application
Time to FillFrom posting to shift filled
Your Response TimeHow quickly you review applications
Average Notice PeriodHow far in advance shifts are posted

Shift Timing Analysis

Understand demand patterns:

  • Day of week performance
  • Time of day patterns
  • Seasonal variations
  • Holiday impact

Lead Time Analysis

See how advance notice affects success:

  • Fill rate by lead time
  • Applicant quality by lead time
  • Cost variations by urgency

Department Analytics

Department Overview

For facilities with multiple departments:

DepartmentShiftsFill RateAvg CostTop Worker
ER4592%KSh 7,200Jane M.
ICU3288%KSh 8,100John K.
General6795%KSh 6,500Mary N.

Department Comparison

Compare departments on:

  • Fill rate
  • Cost efficiency
  • Worker ratings
  • Response times
  • Cancellation rates

Department-Level Reports

Generate reports for specific departments:

  1. Select department from filter
  2. Choose date range
  3. Select metrics to include
  4. Generate PDF or export CSV

Exporting Reports

Standard Reports

Pre-built reports available:

ReportContents
Monthly SummaryAll key metrics for the month
Spending ReportDetailed cost breakdown
Worker ReportWorker performance data
Fill Rate ReportShift filling analysis
Compliance ReportHours, rates, requirements met

Generating Reports

  1. Go to Analytics > Reports
  2. Select report type
  3. Choose date range
  4. Select format (PDF or CSV)
  5. Click Generate
  6. Download or email report

Scheduled Reports

Set up automatic reports:

  1. Go to Analytics > Scheduled Reports
  2. Click Create Schedule
  3. Select report type
  4. Set frequency (weekly, monthly, quarterly)
  5. Add recipients (email addresses)
  6. Activate schedule

Reports are delivered automatically on schedule.

Custom Reports

Build your own reports:

  1. Go to Analytics > Custom Report
  2. Choose metrics to include
  3. Set filters and groupings
  4. Preview report
  5. Save template for reuse
  6. Export or schedule

Data Visualization

Charts and Graphs

Available visualizations:

  • Line charts - Trends over time
  • Bar charts - Comparisons
  • Pie charts - Distributions
  • Heat maps - Time/day patterns
  • Tables - Detailed data

Customizing Views

Personalize your dashboard:

  1. Click Customize Dashboard
  2. Add/remove metric cards
  3. Rearrange layout
  4. Save your configuration

Exporting Visualizations

Download charts:

  1. Click on the chart
  2. Select Export
  3. Choose format (PNG, PDF)
  4. Download file

Advanced Analytics

Predictive Insights

OnLocum analyzes patterns to predict:

  • Upcoming staffing needs based on history
  • Risk of unfilled shifts
  • Budget projections
  • Seasonal demand changes

Benchmarking

Compare your facility to similar organizations:

  • Fill rate benchmark
  • Cost efficiency benchmark
  • Response time benchmark
  • Worker satisfaction benchmark

Warning

Benchmarking data is anonymized and aggregated. Individual facility data is never shared.

Correlation Analysis

See what factors affect outcomes:

  • Rate vs. fill rate correlation
  • Lead time vs. applicant quality
  • Rating given vs. worker return rate
  • Shift timing vs. cancellation rate

API Access (Enterprise)

Data Export API

Enterprise accounts can access:

  • Real-time data feeds
  • Bulk data export
  • Integration with BI tools
  • Custom data queries

Available Endpoints

  • /api/analytics/summary - Key metrics
  • /api/analytics/shifts - Shift-level data
  • /api/analytics/workers - Worker data
  • /api/analytics/spending - Financial data

Integration Examples

Connect to:

  • Power BI
  • Tableau
  • Google Data Studio
  • Custom dashboards

Best Practices

Regular Review

  1. Daily - Check fill rate and urgent issues
  2. Weekly - Review spending and worker performance
  3. Monthly - Full analytics review and reporting
  4. Quarterly - Strategic analysis and planning

Using Data for Decisions

Key questions analytics can answer:

  • Are we paying competitive rates?
  • Which departments need more attention?
  • Should we expand our float pool?
  • Where can we reduce costs?
  • What's our optimal posting lead time?

Setting Targets

Based on analytics, set goals for:

  • Fill rate improvement
  • Cost per shift reduction
  • Response time improvement
  • Worker satisfaction
  • Float pool growth

Troubleshooting

Data Not Updating

If metrics seem stale:

  • Check your date range filter
  • Clear browser cache
  • Refresh the page
  • Allow 24 hours for shift data to process

Unexpected Numbers

If metrics look wrong:

  • Verify filter settings
  • Check for cancelled/disputed shifts
  • Compare with detailed shift list
  • Contact support if discrepancy persists

Need Help?

For analytics support:

Next Steps

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