The Outcomes Analytics dashboard is only useful if it changes what you do. Reading a number is the easy part; knowing what a number is telling you, and what to do next, is where the value is. This article is a troubleshooting guide for clinical leaders: a decision matrix that pairs each common dashboard signal with its most likely cause and a recommended first action.
How to use this
Treat each row as a starting point for a conversation, not a verdict. Confirm the pattern against the underlying detail tables before acting, since a single patient can swing a percentage in a small clinic or a narrow filter.
The decision matrix
Find the row that matches what you are seeing, then work left to right: the likely cause, then the first action to take. The example chart in each row shows the shape of the signal, not your actual data.
| What you see | Example | Most likely cause | First action |
|---|---|---|---|
| Low baseline completion rate | A setup or workflow gap. PROs are not assigned at episode creation, or patients are not prompted. | Review the episode-setup workflow with the clinic and reinforce assigning the PRO at episode creation. | |
| Baseline strong, low second-assessment completion | Engagement drop-off after the first survey. | Check the reminder cadence and patient communication at setup, and identify the clinics with the steepest drop. | |
| High completion, flat improvement rate | A measure-fit issue or a genuine clinical question, not a data problem. | Confirm the right measure is assigned for the condition and review with clinical leads before concluding. | |
| Wide variance between clinics or clinicians | Practice variation in setup, follow-up, or coaching. | Use the Clinics tab tables to find high and low performers, then share what top performers do differently. | |
| One treatment category lags the others | A category-specific workflow or expectation-setting gap. | Open the Treatment tab for that category and measure, and compare it against a strong-performing category. | |
| Month-over-month decline in any metric | A recent process, staffing, or system change. | Align the dip to the calendar and check whether one region or clinic is driving the organization-level trend. |
Note
A flat improvement trend is not always a clinical plateau. Cross-reference completion and engagement first, since low participation can look like no progress on the dashboard.
A repeatable monthly review
The matrix works best inside a consistent routine rather than a quarterly scramble. A simple monthly pass keeps you ahead of problems while they are still small.
- Scope the filter bar to the last month.
- Read the headline metrics on the Overview to spot the one that moved most.
- Drill into that metric: completion on the Clinics tab, or improvement on the Treatment tab.
- Match what you find to a row above, and take the first action.
Tip
Pick one signal to act on each month rather than trying to fix everything at once. A single, well-chosen action that you follow through on does more than a long list you never start.
Want the printable companion?
The Outcomes Analytics Dashboard Job Aid includes this matrix plus navigation and filtering guidance you can keep at your desk.