Boards don't fire management companies over spreadsheets — they fire them over slow responsiveness. The architectural request that sat for three weeks, the violation nobody followed up on, the homeowner email that went unanswered. This template connects manager capacity to the actual work it produces, so an owner can see whether the overloaded managers from the capacity report are also the ones falling behind on service, before a board's frustration turns into an RFP.
What this report answers
The workload page answers the operational question: how much open work is each manager sitting on, what mix is it (work orders, ARC requests, violations, homeowner tickets), and are they closing it on time? The backlog page surfaces the danger signal — aged items past the SLA window — and plots open work against doors managed, so the correlation between overload and falling behind is visible in one scatter. A throughput ratio under 100% on any manager means their backlog is growing faster than they can close it.
The metrics that matter
On-time resolution rate is the headline service metric — the share of work closed inside the promised window. Throughput ratio is the leading indicator: closing fewer items than are opening means the backlog is compounding, even if today's numbers still look acceptable. Aged backlog items is the board-complaint pipeline — the specific requests old enough to generate a phone call from a board president. Open items per manager ties it all back to capacity.
Why the data is trapped across the systems
Service work is scattered by type across the platform. Work orders and vendor activity sit in Vantaca or CINC Systems; architectural review requests and violations often live in Smartwebs or the compliance module; homeowner communications run through the resident portal or Enumerate / CiraConnect. Each association's queue is separate, and none of it is summed by manager or measured against capacity. So an owner can't see that the manager carrying 1,300 doors is also the one with the oldest violation backlog — the two facts live in different modules, organized by association, never joined to the employee. This template joins them.
How to read it
Read the per-manager stacked column to see both the size and the mix of each backlog — a manager buried in violations needs different help than one buried in homeowner tickets. The aged-backlog bar is the immediate risk list. The real insight is the doors-versus-open-items scatter on the second page: managers in the upper right are overloaded and falling behind at the same time, the precise combination that loses a contract. Pair this with the capacity report to decide whether the fix is rebalancing doors or adding support staff.
The sample on this page uses entirely synthetic, anonymized workload data — no real homeowners, requests, or employees.
Metrics it tracks
| Metric | What it means |
|---|---|
| Total Open Work Items | Open work orders plus ARC requests plus violations plus homeowner tickets, summed across all managers. |
| Items Closed This Period | Total work items resolved across the portfolio during the period. |
| On-Time Resolution Rate | Items closed within the service-level window divided by items closed — the share resolved on time. |
| Open Items per Manager | Total open items divided by manager count — the backlog carried per manager, the workload-pressure ratio. |
| Aged Backlog Items | Open items older than the SLA threshold across the portfolio. |
| Throughput Ratio | Items closed divided by items opened; below 100% means the backlog is growing. |
Used by: Regional directors and operations owners watching SLA risk
Frequently asked questions
What is a good on-time resolution rate for HOA management?
It varies by item type and the SLAs in your management agreements, but the metric to watch is the trend and the aged-backlog tail rather than a single threshold. The template surfaces on-time rate alongside aged-backlog count so you can see both how much is closing on time and how much has slipped past the window into board-complaint territory.
Why does throughput ratio matter?
Throughput ratio is items closed divided by items opened. When it drops below 100%, a manager is taking in more work than they're clearing, so the backlog grows even if current totals still look manageable. It's an early warning that capacity has been exceeded — usually before the on-time rate visibly cracks.
Does this use real homeowner or request data?
No. Every figure on this page is synthetic and anonymized. To build your own, export open and closed work items by type and manager with their close-within-SLA flags; we model it into a Power BI report you open in Power BI Desktop.
Build this report on your own data
Clone this HOA management template — describe it and we’ll generate sample data so you can try it free, or upload your own export. You get a fully modeled, branded Power BI project that opens in Power BI Desktop.
Use this as a template →