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Administrator Guide
Last Updated: 2023-06-23
Reference: Metrics in People Analytics

Reference: Metrics in People Analytics

People Analytics uses metrics to drive insights to answer key business questions about an organization. These metrics also support KPIs, visualizations, and stories.
Each KPI and story offers a comparison point. Trend stories and KPIs display the historic performance of a given metric. The historic performance snapshot varies depending on the metric. Historic snapshot periods can reflect:
  • 12 months ago, if you have at least 13 months of data history.
  • 3 months ago, if you have less than 13 months of data history.
  • The month prior to the current snapshot period.
Gap stories compare the current performance of the dimension where the story takes place to the current performance of an internal peer group.
The values of these fields determine which records are included in the analysis for a given month:
  • Report Effective Date for the Worker pipeline.
  • Status Month for the Hiring pipeline.
People Analytics uses these metrics:

Attrition Rate

What uses this metric?
KPI: Attrition Rate
Trend Business Question: What are key turnover trends?
Gap Business Question: Who is leaving?
Calculation Time Frame
Depending on your data history:
  • 12 month rolling period, or
  • 3 month rolling period.
Calculation
rollingSum(unique([Employee_ID]), 12) for ("Terminated_This_Period", "True") /{avg_active_headcount_rolling_12_months}, where avg_active_headcount_rolling_12_months = (rollingSum(unique([Employee_ID]), 12) for ("Active_Status", "True") / 12)
OR
rollingSum(unique([Employee_ID]), 3) for ("Terminated_This_Period", "True") / {avg_active_headcount_rolling_3_months}, where avg_active_headcount_rolling_3_months = (rollingSum(unique([Employee_ID]), 3) for ("Active_Status", "True") / 3)
Translation
Based on a 12 month or 3 month rolling period.
Number of terminated workers within period / Average active headcount for period (Sum of active headcounts for each month / Number of months in rolling period) * 100
Comparison Point for KPI and Trend Story
Month prior to the current snapshot period
Comparison Point for Gap Story
Internal peer group

Average Compa-Ratio

What uses this metric?
Gap Business Question: Where are gaps in compa-ratio?
Calculation Time Frame
Current snapshot period
Calculation
sum([Compa_Ratio]) for ("Active_Status", "True") / unique([Employee_ID]) for ("Active_Status", "True")
Translation
Sum of compa-ratio of active headcount at end of previous month / Active headcount at end of previous month
Comparison Point
Internal peer group

Average Compa-Ratio of Terminations

What uses this metric?
KPI: Average Compa-Ratio of Terminations
Calculation Time Frame
Current snapshot period
Calculation
​​sum([Compa_Ratio]) for ("Terminated_This_Period", "True") / unique([Employee_ID]) for ("Terminated_This_Period", "True")
Translation
Sum of compa-ratio of terminated workers in previous month / Terminated workers in previous month
Comparison Point
Depending on your data history:
  • 12 months ago, or
  • 3 months ago.

Average Gap Score

What uses this metric?
Gap Business Question: Where are opportunities to upskill workers?
Calculation Time Frame
Current snapshot period
Calculation
sum([gap_score_pct]) / unique([Employee_ID])
Translation
Sum of gap scores for workers at end of previous month / Active headcount at end of previous month
Gap Score = 1 - Match Score
Comparison Point
Internal peer group

Average Span of Control

What uses this metric?
KPI: Average Span of Control
Gap Business Question: What are outliers in span of control?
Calculation Time Frame
Current snapshot period
Calculation
sum([Direct_Reports]) for ("Manager_With_Direct_Reports", "True") for ("Active_Status", "True") / unique([Employee_ID]) for ("Manager_With_Direct_Reports", "True") for ("Active_Status", "True")
Translation
Number of active direct reports at end of previous month / Number of active managers with direct reports at end of previous month
Excludes unfilled positions
Comparison Point for KPI
Depending on your data history:
  • 12 months ago, or
  • 3 months ago.
Comparison Point for Gap Story
Internal peer group
Example:
Supervisory Org
Managers
Direct Reports
Vice President
1
2
Director A
1
3
Manager A1
1
4
Manager A2
1
7
Manager A3
1
3
Director B
1
4
Manager B1
1
2
Manager B2
1
5
Manager B3
1
8
Manager B4
1
3
Total
10
41

Average Tenure

What uses this metric?
KPI: Average Tenure
Gap Business Question: What are outliers in tenure?
Calculation Time Frame
Current snapshot period
Calculation
sum([Length_Of_Service_In_Partial_Years]) for ("Active_Status", "True") / unique([Employee_ID]) for ("Active_Status", "True")
Translation
Sum of length of service of active headcount at end of previous month / Active headcount at end of previous month
Comparison Point for KPI
Depending on your data history:
  • 12 months ago, or
  • 3 months ago.
Comparison Point for Gap Story
Internal peer group

Average Time To Fill

What uses this metric?
Trend Business Question: What are key trends in hiring?
Calculation Time Frame
Current snapshot period
Calculation
(total_reqs_hired_filled_time) / (reqs_filled_hired)
Variables for Calculation
  • total_reqs_hired_filled_time = sum([Requisition_Time_To_Fill]) for ("Can_Job_Requisition_Status_Instance_Evaluated" , "filled") for ("Stage_Consolidated", "hire")
    • Requisition_Time_To_Fill = DAYS_BETWEEN([Req_Job_Requisition_Filled_Date],[Req_Recruiting_Start_Date])
  • reqs_filled_hired = {candidates_hired} for ("Can_Job_Requisition_Status_Instance_Evaluated","filled")
    • Candidates_hired = unique([Candidate_JobRequisiton]) for ("Stage_Consolidated","hire")
    • Candidate_JobRequisiton = CONCAT([Candidate_ID], "-", [Job_Requisition])
Translation
Sum of time to fill for hires in filled requisitions in previous month (Number of days from requisition start date to requisition filled date) / Number of hires in filled requisitions in previous month
Comparison Point
Depending on your data history:
  • 12 months ago, or
  • 3 months ago.

Average Time To Hire

What uses this metric?
KPI: Average Time to Hire
Gap Business Question: Where does it take longer to hire?
Calculation Time Frame
Current snapshot period
Calculation
(total_time_to_hire) / (candidates_hired)
Variables for Calculation
  • total_time_to_hire = sum([Time_To_Hire]) for ("Stage_Consolidated", "hire")
    • Time_To_Hire = DAYS_BETWEEN([Recruiting_Start_Date],[Worker_Hire_Date])
  • candidates_hired = unique([Candidate_JobRequisiton]) for ("Stage_Consolidated","hire")
    • Candidate_JobRequisiton = CONCAT([Candidate_ID], "-", [Job_Requisition])
Translation for KPI
Sum of time to hire for hires in previous month (Number of days from requisition start date to hire date) / Number of hires in previous month * 100
Translation for Gap Business Question
Sum of time to hire for hires in previous month (Number of days from requisition start date to hire date) / Number of hires in previous month
Comparison Point for KPI
Depending on your data history:
  • 12 months ago, or
  • 3 months ago.
Comparison Point for Gap Story
Internal peer group

Average Voluntary Terminations Tenure

What uses this metric?
Gap Business Question: Where do we have the lowest tenure for voluntary terminations?
Calculation Time Frame
Current snapshot period
Calculation
sum([Length_Of_Service_In_Partial_Years]) for ("Terminated_This_Period", "True") for ("Termination_Category", "Voluntary") / unique([Employee_ID]) for ("Terminated_This_Period", "True") for ("Termination_Category", "Voluntary")
Translation
Sum of length of service of voluntary terminations in previous month / Voluntary terminations in previous month
Comparison Point
Internal peer group

Female Attrition Rate

What uses this metric?
KPI: Female Attrition Rate
Calculation Time Frame
Depending on your data history:
  • 12 month rolling period, or
  • 3 month rolling period.
Calculation
rollingSum(unique([Employee_ID]), 12) for ("Terminated_This_Period", "True") for ("Gender", "Female") / {avg_female_headcount_rolling_12_months}, where avg_female_headcount_rolling_12_months = (rollingSum(unique([Employee_ID]), 12) for ("Gender", "Female") for ("Active_Status", "True") / 12)
OR
rollingSum(unique([Employee_ID]), 3) for ("Terminated_This_Period", "True") for ("Gender", "Female") /{avg_female_headcount_rolling_3_months}, where avg_female_headcount_rolling_3_months = (rollingSum(unique([Employee_ID]), 3) for ("Gender", "Female") for ("Active_Status", "True") / 3)
Translation
Based on a 12 month or 3 month rolling period.
Number of female terminations within period / Average female headcount for period (Sum of female headcounts for each month / Number of months in rolling period) * 100
Comparison Point
Month prior to the current snapshot period

Female Representation

What uses this metric?
KPI: Female Representation
Trend Business Question: What are key trends in female representation?
Gap Business Question: Where can we improve female representation?
Calculation Time Frame
Current snapshot period
Calculation
unique([Employee_ID]) for ("Active_Status", "True") for ("Gender", "Female") / unique([Employee_ID]) for ("Active_Status", "True")
Translation
Number of female active workers at end of previous month / Active headcount at end of previous month * 100
Comparison Point for KPI and Trend Story
Depending on your data history:
  • 12 months ago, or
  • 3 months ago.
Comparison Point for Gap Story
Internal peer group
What uses this metric?
Gap Business Question: Where are gaps in female representation in management?
Calculation Time Frame
Current snapshot period
Calculation
unique([Employee_ID]) for ("Active_Status", "True") for ("Is_Manager", "True") for ("Gender", "Female") / unique([Employee_ID]) for ("Active_Status", "True") for ("Is_Manager", "True")
Translation
Number of female active workers at end of previous month / Active headcount at end of previous month * 100
Filtered on Is Manager = Yes
Comparison Point
Internal peer group

Female Representation in Leadership

What uses this metric?
KPI: Female Representation in Leadership
Calculation Time Frame
Current snapshot period
Calculation
unique([Employee_ID]) for ("Is_Leader", "True") for ("Gender", "Female") for ("Active_Status", "True") / unique([Employee_ID]) for ("Is_Leader", "True") for ("Active_Status", "True")
Translation
Number of female active leaders at end of previous month / Active leaders at end of previous month * 100
Comparison Point
Depending on your data history:
  • 12 months ago, or
  • 3 months ago.

Headcount Growth Rate

What uses this metric?
Trend Business Question: Where is the organization growing?
Calculation Time Frame
Current snapshot period
Calculation
(unique([Employee_ID]) - previous(unique([Employee_ID]), 6) for ("Active_Status", "True")) / previous(unique([Employee_ID]), 6) for ("Active_Status", "True")
OR
(unique([Employee_ID]) - previous(unique([Employee_ID]), 3) for ("Active_Status", "True")) / previous(unique([Employee_ID]), 3) for ("Active_Status", "True")
Translation
Based on a 6 month or 3 month historic snapshot period.
(Active headcount at end of previous month - Active headcount at beginning of period) / Active headcount at beginning of period
Comparison Point
Depending on your data history:
  • 6 months ago, or
  • 3 months ago.

High Performers Rate

What uses this metric?
Gap Business Question: Where can we focus to improve performance?
Calculation Time Frame
Current snapshot period
Calculation
unique([Employee_ID]) for ("High_Performer", "True") for ("Active_Status", "True") / unique([Employee_ID]) for ("Active_Status", "True")
Translation
Number of high performer active workers at end of previous month / Active headcount at end of previous month * 100
Comparison Point
Internal peer group

High Performers Voluntary Attrition Rate

What uses this metric?
KPI: High Performers Voluntary Attrition Rate
Gap Business Question: Where are we losing high performers?
Calculation Time Frame
Depending on your data history:
  • 12 month rolling period, or
  • 3 month rolling period.
Calculation
rollingSum(unique([Employee_ID]), 12) for ("Terminated_This_Period", "True") for ("Termination_Category", "Voluntary") for ("High_Performer", "True") /{avg_high_performer_headcount_rolling_12_months}, where avg_high_performer_headcount_rolling_12_months = (rollingSum(unique([Employee_ID]), 12) for ("High_Performer", "True") for ("Active_Status", "True") / 12)
OR
rollingSum(unique([Employee_ID]), 3) for ("Terminated_This_Period", "True") for ("Termination_Category", "Voluntary") for ("High_Performer", "True") / {avg_high_performer_headcount_rolling_3_months}, where avg_high_performer_rolling_3_months = (rollingSum(unique([Employee_ID]), 3) for ("High_Performer", "True") for ("Active_Status", "True")/ 3)
Translation
Based on a 12 month or 3 month rolling period.
Number of voluntary high performers terminations within period / High performers average active headcount for period (Sum of active headcounts for each month / Number of months in rolling period) * 100
Comparison Point for KPI
Month prior to the current snapshot period
Comparison Point for Gap Story
Internal peer group

High Potentials Representation

What uses this metric?
KPI: High Potentials Representation
Trend Business Question: What are key trends in talent?
Calculation Time Frame
Current snapshot period
Calculation
unique([Employee_ID]) for ("Is_High_Potential", "True") for ("Active_Status", "True") / unique([Employee_ID]) for ("Active_Status", "True")
Translation
Number of high potential active workers at end of previous month / Active headcount at end of previous month * 100
Comparison Point
Depending on your data history:
  • 12 months ago, or
  • 3 months ago.

High Potentials Voluntary Attrition Rate

What uses this metric?
KPI: High Potentials Voluntary Attrition Rate
Calculation Time Frame
Depending on your data history:
  • 12 month rolling period, or
  • 3 month rolling period.
Calculation
rollingSum(unique([Employee_ID]), 12) for ("Terminated_This_Period", "True") for ("Termination_Category", "Voluntary") for ("Is_High_Potential", "True") / {avg_high_potentials_headcount_rolling_12_months}, where avg_high_potentials_headcount_rolling_12_months = (rollingSum(unique([Employee_ID]), 12) for ("Is_High_Potential", "True") for ("Active_Status", "True") / 12)
OR
rollingSum(unique([Employee_ID]), 3) for ("Terminated_This_Period", "True") for ("Termination_Category", "Voluntary") for ("Is_High_Potential", "True") / {avg_high_potentials_headcount_rolling_3_months}, where avg_high_potentials_headcount_rolling_3_months = (rollingSum(unique([Employee_ID]), 3) for ("Is_High_Potential", "True") for ("Active_Status", "True") / 3)
Translation
Based on a 12 month or 3 month rolling period.
Number of voluntary high potentials terminations within period / High potentials average active headcount for period (Sum of high potentials headcounts for each month / Number of months in rolling period) * 100
Comparison Point
Month prior to the current snapshot period

Individual Contributor to Manager Rate

What uses this metric?
Gap Business Question: Where are gaps in internal mobility to management?
Calculation Time Frame
Depending on your data history:
  • 12 month rolling period, or
  • 3 month rolling period.
Calculation
rollingSum(unique([Employee_ID]), 12) for ("Active_Status", "True") for ("IC_To_MGR_This_Period", "True") / {avg_active_headcount_rolling_12_months}, where avg_active_headcount_rolling_12_months = (rollingSum(unique([Employee_ID]), 12) for ("Active_Status", "True") / 12)
OR
rollingSum(unique([Employee_ID]), 3) for ("Active_Status", "True") for ("IC_To_MGR_This_Period", "True") / {avg_active_headcount_rolling_3_months}, where avg_active_headcount_rolling_3_months = (rollingSum(unique([Employee_ID]), 3) for ("Active_Status", "True") / 3)
Translation
Based on a 12 month or 3 month rolling period.
Number of active individual contributors to management within period / Average active headcount for period (Sum of active headcounts for each month / Number of months in rolling period) * 100
Comparison Point
Month prior to the current snapshot period

New Hires Attrition Rate

What uses this metric?
Gap Business Question: Where do we lose the most new hires?
Calculation Time Frame
Depending on your data history:
  • 12 month rolling period, or
  • 3 month rolling period.
Calculation
rollingSum(unique([Employee_ID]), 12) for ("Terminated_This_Period", "True") for ("Is_New_Hire", "True") / {avg_new_hires_headcount_rolling_12_months}, where avg_new_hires_headcount_rolling_12_months = (rollingSum(unique([Employee_ID]), 12) for ("Is_New_Hire", "True") for ("Active_Status", "True")/ 12)
OR
rollingSum(unique([Employee_ID]), 3) for ("Terminated_This_Period", "True") for ("Is_New_Hire", "True") / {avg_new_hires_headcount_rolling_3_months}, where avg_new_hires_headcount_rolling_3_months = (rollingSum(unique([Employee_ID]), 3) for ("Is_New_Hire", "True") for ("Active_Status", "True")/ 3)
Translation
Based on a 12 month or 3 month rolling period.
Number of terminated new hires within period / New hires average active headcount for period (Sum of new hires active headcounts for each month / Number of months in rolling period) * 100
Comparison Point
Internal peer group

New Hires Retention Rate

What uses this metric?
KPI: New Hires Retention Rate
Calculation Time Frame
Depending on your data history:
  • 12 month rolling period, or
  • 3 month rolling period.
Calculation
(previous(unique([Employee_ID]), 12) for ("Is_New_Hire", "True") for ("Active_Status", "True") - rollingSum(unique([Employee_ID]), 12) for ("Terminated_This_Period", "True") for ("Is_New_Hire", "True") + rollingSum(unique([Employee_ID]), 12) for ("Hired_This_Period", "True")) / (previous(unique([Employee_ID]), 12) for ("Is_New_Hire", "True") for ("Active_Status", "True") + rollingSum(unique([Employee_ID]), 12) for ("Hired_This_Period", "True"))
OR
(previous(unique([Employee_ID]), 3) for ("Is_New_Hire", "True") for ("Active_Status", "True") - rollingSum(unique([Employee_ID]), 3) for ("Terminated_This_Period", "True") for ("Is_New_Hire", "True") + rollingSum(unique([Employee_ID]), 3) for ("Hired_This_Period", "True")) / (previous(unique([Employee_ID]), 3) for ("Is_New_Hire", "True") for ("Active_Status", "True") + rollingSum(unique([Employee_ID]), 3) for ("Hired_This_Period", "True"))
Translation
Based on a 12 month or 3 month rolling period.
(Active new hires at beginning of period + Hired workers within period - Terminated new hires within period) / (Active new hires at beginning of period + Hired workers within period) * 100
Comparison Point
Month prior to the current snapshot period

Offer Accepted Rate

What uses this metric?
KPI: Offer Accepted Rate
Calculation Time Frame
Current snapshot period
Calculation
( (candidates_offered) - (candidates_offer_pending) - (candidates_offer_declined) ) / ( (candidates_offered) - (candidates_offer_pending) )
Variables for Calculation
  • candidates_offered = unique([Candidate_JobRequisiton]) for ("Stage_Consolidated","offer")
  • candidates_offer_pending = unique([Candidate_JobRequisiton]) for ("Stage_Consolidated","offer") for ("Candidate_Stage_Instance_Evaluated","offer")
  • candidates_offer_declined = unique([Candidate_JobRequisiton]) for ("Stage_Consolidated","offer") for ("Candidate_Stage_Instance_Evaluated","declined by candidate")
  • Candidate_JobRequisiton = CONCAT([Candidate_ID],"-",[Job_Requisition])
Translation
(Offers extended - Offers with decision pending from candidate - Offers declined) / (Offers extended - Offers with decision pending from candidate) * 100
Comparison Point
Depending on your data history:
  • 12 months ago, or
  • 3 months ago.

Offer Decline Rate

What uses this metric?
Gap Business Question: What areas do we need to focus on to stay competitive with offers?
Calculation Time Frame
Current snapshot period
Calculation
(candidates_offer_declined) / ( (candidates_offered) - (candidates_offer_pending) )
Variables for Calculation
  • candidates_offer_declined = unique([Candidate_JobRequisiton]) for ("Stage_Consolidated","offer") for ("Candidate_Stage_Instance_Evaluated","declined by candidate")
  • candidates_offered = unique([Candidate_JobRequisiton]) for ("Stage_Consolidated","offer")
  • candidates_offer_pending = unique([Candidate_JobRequisiton]) for ("Stage_Consolidated","offer") for ("Candidate_Stage_Instance_Evaluated","offer")
  • Candidate_JobRequisiton = CONCAT([Candidate_ID],"-",[Job_Requisition])
Translation
Offers declined / Offers extended (excluding pending) * 100
Comparison Point
Internal peer group

Promotion Rate

What uses this metric?
KPI: Promotion Rate
Gap Business Question: Where are gaps in promotions?
Calculation Time Frame
Depending on your data history:
  • 12 month rolling period, or
  • 3 month rolling period.
Calculation
rollingSum(unique([Employee_ID]), 12) for ("Promoted_This_Period", "True") for ("Active_Status", "True") / {avg_active_headcount_rolling_12_months}, where avg_active_headcount_rolling_12_months = (rollingSum(unique([Employee_ID]), 12) for ("Active_Status", "True") / 12)
OR
rollingSum(unique([Employee_ID]), 3) for ("Promoted_This_Period", "True") for ("Active_Status", "True") / {avg_active_headcount_rolling_3_months}, where avg_active_headcount_rolling_3_months = (rollingSum(unique([Employee_ID]), 3) for ("Active_Status", "True") / 3)
Translation
Based on a 12 month or 3 month rolling period.
Number of promoted active workers within period / Average active headcount for period (Sum of active headcounts for each month / Number of months in rolling period) * 100
Comparison Point for KPI
Month prior to current snapshot period
Comparison Point for Gap Story
Internal peer group
What uses this metric?
Gap Business Question: Where are gaps in promoting females?
Calculation Time Frame
Depending on your data history:
  • 12 month rolling period, or
  • 3 month rolling period.
Calculation
rollingSum(unique([Employee_ID]), 12) for ("Promoted_This_Period", "True") for ("Active_Status", "True") / {avg_active_headcount_rolling_12_months}, where avg_active_headcount_rolling_12_months = (rollingSum(unique([Employee_ID]), 12) for ("Active_Status", "True") / 12)
OR
rollingSum(unique([Employee_ID]), 3) for ("Promoted_This_Period", "True") for ("Active_Status", "True") / {avg_active_headcount_rolling_3_months}, where avg_active_headcount_rolling_3_months = (rollingSum(unique([Employee_ID]), 3) for ("Active_Status", "True") / 3)
Translation
Based on a 12 month or 3 month rolling period. Filtered on females.
Number of promoted active workers within period /Average active headcount for period (Sum of active headcounts for each month / Number of months in rolling period) * 100
Comparison Point
Internal peer group

Referral Hire Rate

What uses this metric?
KPI: Referral Hire Rate
Calculation Time Frame
Current snapshot period
Calculation
(candidates_hired_referred) / (candidates_hired)
Variables for Calculation
  • candidates_hired_referred = {candidates_hired} for ("Source_Instance_Evaluated", "referral")
  • candidates_hired = unique([Candidate_JobRequisiton]) for ("Stage_Consolidated","hire")
    • Candidate_JobRequisiton = CONCAT([Candidate_ID],"-",[Job_Requisition])
Translation
Number of referral hires in previous month / Number of hires in previous month * 100
Comparison Point
Depending on your data history:
  • 12 months ago, or
  • 3 months ago.

Retention Rate

What uses this metric?
Gap Business Question: Where can we improve female retention in the workforce?
Calculation Time Frame
Depending on your data history:
  • 12 month rolling period, or
  • 3 month rolling period.
Calculation
(previous(unique([Employee_ID]), 12) for ("Gender", "Female") for ("Active_Status", "True") - rollingSum(unique([Employee_ID]), 12) for ("Terminated_This_Period", "True") for ("Gender", "Female") + rollingSum(unique([Employee_ID]), 12) for ("Hired_This_Period", "True") for ("Gender", "Female")) / (previous(unique([Employee_ID]), 12) for ("Gender", "Female") for ("Active_Status", "True") + rollingSum(unique([Employee_ID]), 12) for ("Hired_This_Period", "True") for ("Gender", "Female"))
OR
(previous(unique([Employee_ID]), 3) for ("Gender", "Female") for ("Active_Status", "True") - rollingSum(unique([Employee_ID]), 3) for ("Terminated_This_Period", "True") for ("Gender", "Female") + rollingSum(unique([Employee_ID]), 3) for ("Hired_This_Period", "True") for ("Gender", "Female")) / (previous(unique([Employee_ID]), 3) for ("Gender", "Female") for ("Active_Status", "True") + rollingSum(unique([Employee_ID]), 3) for ("Hired_This_Period", "True") for ("Gender", "Female"))
Translation
Based on a 12 month or 3 month rolling period. Filtered on females.
(Active headcount at beginning of period + Hires within period - Terminations within period) / (Active headcount at beginning of period + Hires within period) * 100
Comparison Point
Internal peer group
What uses this metric?
Gap Business Question: Where can we improve retention?
Calculation Time Frame
Depending on your data history:
  • 12 month rolling period, or
  • 3 month rolling period.
Calculation
(previous(unique([Employee_ID]), 12) for ("Active_Status", "True") - rollingSum(unique([Employee_ID]), 12) for ("Terminated_This_Period", "True") + rollingSum(unique([Employee_ID]), 12) for ("Hired_This_Period", "True")) / (previous(unique([Employee_ID]), 12) for ("Active_Status", "True") + rollingSum(unique([Employee_ID]), 12) for ("Hired_This_Period", "True"))
OR
(previous(unique([Employee_ID]), 3) for ("Active_Status", "True") - rollingSum(unique([Employee_ID]), 3) for ("Terminated_This_Period", "True") + rollingSum(unique([Employee_ID]), 3) for ("Hired_This_Period", "True")) / (previous(unique([Employee_ID]), 3) for ("Active_Status", "True") + rollingSum(unique([Employee_ID]), 3) for ("Hired_This_Period", "True"))
Translation
Based on a 12 month or 3 month rolling period.
(Active headcount at beginning of period + Hires within period - Terminations within period) / (Active headcount at beginning of period + Hires within period) * 100
Comparison Point
Internal peer group