Check-in Status
The Check-in Status report page presents the visuals listed below. Each row gives the on-screen name, its underlying metric, and a short description; see the metric glossary for the full formula and interpretation.
Visuals:
| Name | Measure | Description |
|---|---|---|
| Total check-ins | Count of check-in IDs (one per check-in) | Total number of check-ins that took place, in scope. It counts check-in events, not people, so one person with many check-ins adds many; it measures activity volume, not reach. Read against # Users having check-ins (distinct participants) to separate heavy repeat use from broad adoption. |
| Assigned check-ins | Count of check-in IDs where the assigned flag = Yes (created from a template) | Number of check-ins that were assigned from a template rather than created ad-hoc. It sizes the template-driven, standardized portion of check-in activity. It counts check-in events, not people, so a busy assigned type shows a larger figure. Read against # Check-ins for the total, or use % Assigned check-ins for the share. |
| Check-in status by org. level | For each org level, count of performance check-ins in each status÷ total performance check-ins in that org level | Status mix of performance check-ins within each part of the organization, shown as 100%-stacked bars so every org level sums to 100% and you compare composition rather than volume. It reveals where performance check-ins are mostly completed versus stuck in earlier statuses, so an org unit with a large in-progress or pending band stands out regardless of its size. Drill the org hierarchy to pinpoint the level driving a pattern. |
| Check-in type | Count of check-ins of this type÷ count of all check-ins (in the current selection) | Share of check-ins that are each type, i.e. the type mix of check-in activity. It shows which check-in varieties dominate; because it's a share of the total in the selection, filtering to a team or period re-bases the percentages to that scope. Read it as the type composition rather than absolute volume, and against # Check-ins by type for the counts. |
| Check-in participants relation | Count of check-ins of this participant relationship÷ count of all check-ins (in the current selection) | Share of check-ins that are each participant relationship, i.e. the split between hierarchical check-ins (a worker and their manager) and peer ones (between colleagues). It shows whether check-in culture is mostly manager-driven or peer-based; because it's a share of the total in the selection, filtering re-bases the percentages. Read it as the relationship mix rather than raw volume, and against # Check-ins by participant relationship for the counts. |
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For more information about the visuals and metrics used in Analytics Hub, refer toVisuals in Analytics hub and Metric dictionary, respectively.