Track performance metrics, identify trends, and make data-driven decisions about your property management operations. Your HostHive Performance Index (HPI) score measures how smoothly your operations run.
Your HostHive Performance Index (HPI) score measures how operationally mature your properties are. It's not about how much money you make or how many bookings you have—it's about how smoothly your operations run.
| Score | Tier | What It Means |
|---|---|---|
| 90-100 | Elite | Your operations run like clockwork. You've automated the routine stuff and your team executes consistently. |
| 80-89 | Advanced | You're operationally strong with good systems in place. A few tweaks could push you to Elite. |
| 65-79 | Growth | You're building good habits but still doing some things manually that could be automated. |
| 50-64 | Reactive | You're handling things as they come up rather than having systems in place. |
| <50 | At Risk | Operations need attention. You might be missing turnovers or dealing with frequent issues. |
Your score includes a confidence badge that tells you how reliable the data is:
Your HPI score updates once daily. This prevents the emotional roller coaster of watching scores change after every single event.
These measure how well your team actually delivers:
What percentage of scheduled appointments get completed?
Good: 95%+ completion
At Risk: Below 80% completion
Do turnovers finish before guests arrive?
Good: 90%+ completed before check-in
At Risk: Guests arriving to unfinished properties
How quickly do turnovers complete after checkout?
Good: Consistent, predictable timing
At Risk: Long delays or unpredictable timing
How often do you need follow-up visits within 24 hours?
Good: Rarely need to go back
At Risk: Frequent return visits
How many operational exceptions happen?
Includes: Late completions, emergency jobs, access failures
Good: Smooth operations, few surprises
At Risk: Frequent firefighting
How do your costs compare to similar properties?
Requires Plaid integration for accurate tracking
These measure how well you've set up your systems:
What percentage of jobs are auto-created vs manual?
| Auto Rate | Score |
|---|---|
| 75%+ | 100 |
| 50-74% | 75 |
| 25-49% | 50 |
| 1-24% | 25 |
| 0% | 0 |
How well do you track your property finances?
Levels from basic Plaid connection to full cost-per-stay tracking.
Are you using smart locks and thermostats effectively?
Not just connected—are codes being used successfully? Are schedules being followed?
Do you have recurring maintenance set up?
Properties with preventative maintenance have fewer emergency repairs.
On your Performance page, you'll see your top 3 improvement opportunities. These are prioritized by impact—focus on the first one before moving to the next.
Your overview of key operational metrics.
| Metric | Description |
|---|---|
| Appointments Completed | Total services finished in period |
| Average Service Time | Mean duration of appointments |
| Revenue per Property | Income by property |
| Team Performance | Individual productivity metrics |
| Occupancy Rates | Property utilization |
Performance metrics for individual properties.
Select multiple properties to compare:
Track individual and team performance.
| Metric | Description |
|---|---|
| Appointments Completed | Total services finished |
| Average Service Time | Mean time per appointment |
| On-Time Rate | Percentage started on schedule |
| Report Quality | Completeness of service reports |
| Response Time | Time to accept appointments |
View top performers by:
Click any team member to view:
Analyze performance by service type.
Identify:
Build tailored reports for specific needs.
| Type | Best For |
|---|---|
| Table | Detailed data review |
| Bar Chart | Comparisons |
| Line Chart | Trends over time |
| Pie Chart | Distribution/composition |
Download analytics data for external analysis.
| Format | Best For |
|---|---|
| CSV | Spreadsheet analysis (Excel, Google Sheets) |
| Printing and sharing | |
| Excel | Advanced analysis with formulas |
Exports include:
Identify patterns over time.
Cause: No appointments or transactions in selected period
Solution: Expand date range or verify data exists
Cause: Browser performance or connection issue
Solution: Refresh page, try different browser, check internet
Cause: Large data set or connection timeout
Solution: Reduce date range or apply filters to reduce data size