The Manager Scoring Prebuilt liveboard focuses on highlighting deviations in average manager scoring compared to the group average. The liveboard considers the scores given by all managers and calculates the standard deviation. It also provides the count of direct reports for each manager. By utilizing the Manager Scoring liveboard, clients can gain insights into manager scoring patterns, identify potential biases, ensure consistency in performance evaluations, and support performance improvement initiatives. It promotes fair and transparent performance management practices while providing valuable information for talent development and organizational decision-making.
In this article:
Purpose
Metrics Available
Default Filters
Attributes Available
Additional Resources
Purpose
The Manager Scoring Liveboard helps you evaluate scoring patterns across managers to support fair and consistent performance reviews. Comparing each manager’s average scores to the company median and standard deviation, it highlights scoring trends that may require closer review.
Key Questions this Liveboard can answer
- How do individual managers’ average scores compare to the company median?
- Which managers’ scoring patterns fall outside the standard deviation range?
- Are there trends that suggest potential scoring bias or inconsistency?
- How does the number of direct reports relate to a manager’s scoring patterns?
Metrics Available
-
Company Median Score
- The Company Median Score represents the middle performance score across all manager reviews. This means half of the scores fall above this number and half fall below it. Because the median is less affected by unusually high or low scores, it provides a stable reference point for understanding overall scoring patterns across the organization. You can use this metric as a benchmark when comparing individual manager scoring behavior.
-
Standard Deviation of Manager Score
- The Standard Deviation of Manager Score measures how much manager scores vary from the company median. A low standard deviation means most managers are scoring within a similar range. A high standard deviation indicates greater variation, which may suggest differences in scoring standards or calibration. This metric helps identify whether performance evaluations are generally consistent or vary significantly across managers.
Default Filters
Review Subject Supervisor Current Status: Active
Attributes Available
| Attribute | Origin | Description |
|---|---|---|
| Supervisor | System | This data point is populated from the user profile field for Supervisor. |
| Minimum Score | System | The minimum score of the review cycle. |
| Average Score | System | The average score of the review. |
| Maximum Score | System | The maximum score of the review cycle. |
| Role | System | This data point is populated from the user profile field for Role. |
| Supervisor Status | System |
Employee Profile, if the status displays as "Null" it means this user does not have a supervisor listed.
|
| Department | System | This data point is populated from the user profile field for the Department. |
| Office | System | This data point is populated from the user profile field for Office. |
| Review Completion Date | Performance | This is the completion date of the review. This can be set based on List of Year, Calendar Selection or a Time Frame. |
Additional Resources
ClearInsights: Talent Acquisition Data & Attributes
ClearInsights: Talent Development Data & Attributes
Comments
Please sign in to leave a comment.