Hey folks,

Following up on IMPACT's release of the scores in performance review, (📄 IMPACT Product update: February 2022 - Scored attributes & improved users and reviews management 🎯) we are excited to release a new, even more, powerful HR analytics for performance reviews. 🤩

Say goodbye to manual export and calculations of employees' average review grades. Simply have all the needed data in Plai, filter it by the multiple parameters, and access powerful insights about your team's performance.

Check our video overview of the HR analytics feature and learn how to use it

Or, if you prefer text - keep reading our quick guide below.

How to use the HR analytics 📊

Before you begin, make sure you have Admin, HR Admin, or HR manager permissions.

  1. In the "Analytics" tab, select one or multiple review cycles for analysis.

  2. Pick up to 10 linear scale questions or score attributes from your performance reviews to compare the grades for each of them. See 📄 Scored Attributes in Review Cycles in IMPACT

Picking up variables for analysis
  1. You can filter your results by the following criteria:

    1. Gender: compare the grades of employees by gender. 

    2. Location: compare the performance of your offices in different locations. 

    3. Birthday range: compare the performance of Senior vs. Junior level employees. 

    4. Start/end date range: compare by the tenure in the company. 

    5. User(s): exclude and include particular employees in your report. 

    6. Team(s): compare the average performance of specific teams.

Filtering and grouping results
  1. You can group your results by the following criteria:

    1. Compare grades by locations

    2. Compare grades by teams

    3. Compare grades by direct managers

*Pro-tip: you also can compare the grades before and after calibration to see any discrepancies in the results. To do it, check if HRs calibrated some of your reviews questions, and then add "calibrated" and "non-calibrated" results in your report.

Note: users without the location, team or direct manager will be included in the combined “N/A” (No Answer) group.

Comparing "Calibrated" and "Non-calibrated" variables
  1. Switch to the table view to see the values of the grades.

Switch to a table view

That's wrap folks! Wish you a fun and insightful analysis.

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