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:
| Metric | Description |
|---|---|
| Shifts Posted | Total shifts posted this period |
| Fill Rate | Percentage of shifts successfully filled |
| Average Time to Fill | How quickly shifts get filled |
| Total Spend | Total invoiced amount |
| Workers Used | Unique workers who completed shifts |
| Average Rating Given | Your 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
Fill Rate Trends
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:
| Metric | Description |
|---|---|
| Total Workers Used | Unique workers this period |
| Repeat Workers | Workers with 2+ shifts |
| Float Pool Size | Workers in your trusted pool |
| New Workers | First-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:
- Go to Analytics > Worker Performance
- View leaderboard by:
- Shifts completed
- Average rating
- Reliability score
- 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
Spending Trends
Cost Overview
Track all spending:
| Metric | Description |
|---|---|
| Total Spend | All invoiced amounts |
| Worker Payments | Amount paid to workers |
| Platform Fees | OnLocum fees |
| Average Cost per Shift | Total spend / shifts filled |
| Average Cost per Hour | Total 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:
| Metric | Description |
|---|---|
| Time to First Applicant | From posting to first application |
| Time to Fill | From posting to shift filled |
| Your Response Time | How quickly you review applications |
| Average Notice Period | How 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:
| Department | Shifts | Fill Rate | Avg Cost | Top Worker |
|---|---|---|---|---|
| ER | 45 | 92% | KSh 7,200 | Jane M. |
| ICU | 32 | 88% | KSh 8,100 | John K. |
| General | 67 | 95% | KSh 6,500 | Mary N. |
Department Comparison
Compare departments on:
- Fill rate
- Cost efficiency
- Worker ratings
- Response times
- Cancellation rates
Department-Level Reports
Generate reports for specific departments:
- Select department from filter
- Choose date range
- Select metrics to include
- Generate PDF or export CSV
Exporting Reports
Standard Reports
Pre-built reports available:
| Report | Contents |
|---|---|
| Monthly Summary | All key metrics for the month |
| Spending Report | Detailed cost breakdown |
| Worker Report | Worker performance data |
| Fill Rate Report | Shift filling analysis |
| Compliance Report | Hours, rates, requirements met |
Generating Reports
- Go to Analytics > Reports
- Select report type
- Choose date range
- Select format (PDF or CSV)
- Click Generate
- Download or email report
Scheduled Reports
Set up automatic reports:
- Go to Analytics > Scheduled Reports
- Click Create Schedule
- Select report type
- Set frequency (weekly, monthly, quarterly)
- Add recipients (email addresses)
- Activate schedule
Reports are delivered automatically on schedule.
Custom Reports
Build your own reports:
- Go to Analytics > Custom Report
- Choose metrics to include
- Set filters and groupings
- Preview report
- Save template for reuse
- 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:
- Click Customize Dashboard
- Add/remove metric cards
- Rearrange layout
- Save your configuration
Exporting Visualizations
Download charts:
- Click on the chart
- Select Export
- Choose format (PNG, PDF)
- 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
- Daily - Check fill rate and urgent issues
- Weekly - Review spending and worker performance
- Monthly - Full analytics review and reporting
- 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:
- In-app: Analytics > Help icon
- Email: analytics@onlocum.com
- Phone: +254 XXX XXX XXX
Next Steps
- Posting Shifts - Optimize your listings
- Worker Vetting - Build quality workforce
- Team Management - Share access