(Internal)Dashboard Metric and Widget Definitions

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Greenhouse movement vs activity

where we say “all ATSes including Greenhouse” your GH transition rules are set to stage movement

possible google sheet?

X columns

Dashboard Metrics

Category	Metric Options	Description	Differ by ATS?	Calculation/notes
Outreach metrics
	Outreach activity	Outreach actions logged in Gem	no	number of activities people on your team performed (Viewed on LinkedIn, Added to Gem, etc)
	Outreach funnel	Prospect engagement with outreach logged in Gem	no
Candidate metrics
	Stage activity (fka Candidate stage activity)	Uniqueapplicationsthat have entered a stage during the specified timeframe	GH: we use interview & offer data to determine whether candidates have entered those stages all other ATSes: we go by stage movement	number of applications that have reached a given stage
	Time in stage	Time elapsed between an application’s entry into a stage,and some later stage	GH: we use the timestamp of the first interview or scorecard at the stage **will be ca all other ATSs: we use the actual timestamp of when the app was moved into that stage	average(entered stage X timestamp - previous stage timestamp, over all applications) • We average this over all the candidates in the pipeline • This is only reported for “successful” candidates who moved to the next stage - active candidates (still in the stage) and rejected/dropped-out candidates (didn’t make it to next stage) aren’t included. • Caveat: “Skipped” stages are counted toward this metric with a time of 0.
	Passthrough rate	% of applications progressed from a stage to asubsequentstage, inclusive of skipped stages		percentage of applications that progressed from one stage to another • if a candidate skips past a stage, they’re counted towards having made it to that stage • waiting candidates are counted in the denominator, but they can be filtered out by setting the date picker to the cohort “rejected/hired in last x days”. Dashboards uses rejected/hired for passthrough rate widgets.
	Current pipeline	Unique, active candidates in a stage, at this moment		number/list of candidates currently in a given stage
Job metrics
	Jobs	Includes both open and closed jobs		number of jobs, both open and closed
	Job openings	Includes both open and closed openings	this may be unique to GH	number of job openings, both open and closed • one job can have multiple openings from GH HC guide: a job refers to a specific position with the same hiring process and a candidate pool. A job opening , on the other hand, refers to the specific individual you are trying to fill. To put it simply, each job contains one or more job openings.
	Requisitions fka Current open requisitions (LEVER)	Includes open, closed, and pending requisitions
	Unfilled headcount fka Current open headcount (LEVER)	Includes headcount allocated to open requisitions, excluding hires already made		i was thinking of calling the metric Unfilled headcount which we can calculate by taking a difference on total headcount allocated to the requisition and subtracting number of hires made so far (headcountTotal - headcountHired ).
	Time open	Average time elapsed since a job opening was opened, excluding closed openings		the average time that open job openings have been open do we include weekends in any time to blank? I think we include may need to specify that it’s an average unless you apply group by options? (ex Group by = “Job” separates out each Time open metric). but if one job has multiple opening, I assume we average together the multiple openings within a single job?
	Time to fill	Average time elapsed from a job opening’s open to close, for all closed openings	@Kevin L can we give the same definition for all ATSs?	the average amount of time that closed job openings took to get filled drafts: time from role open => role close. We calculate it using GH “Job Openings” so for a given job it might be an average across all the openings The time a job was opened to a time a job was closed. If multiple reqs open for one role, we’ll take the average time open for reqs JF: something isn’t adding up when i compare Time Open and Time to Fill in own internal dashboards. is the only difference that time to fill only looks at closed/filled job openings?
Interview metrics
NOTE: update these descriptions for Lever as well, not just GH	Interviews	Includes both completed and scheduled interviews		number (or list) of interviews conducted
	Interview time	The sum of time elapsed between interview start time and end time		cumulative time elapsed between interview start and interview end
	Interview scorecards	Interview scorecards submitted		number (or list) of scorecards submitted
	Time to complete scorecard	Average time elapsed between interview end time, and when interview scorecard was submitted	GH only right now, Lever coming very soon (hopefully by end of Oct)
	Scorecard completion rate	Percentage of scorecards submitted of total scorecards assigned	GH only right now, Lever coming very soon (hopefully by end of Oct)

Dashboard Widget Definitions

Category	Pre-set widget	Differ by ATS?	Logic & ATS Support
Outreach
	Outreach Funnel by month	No	Prospect engagement with outreach logged in Gem (all ATSes)
	Outreach activity	No	Outreach actions per recruiter (all ATSes)
	Prospects added to Gem	No	New prospects added to Gem (all ATSes)
	Open rate by month	No	% of outreach opened (all ATSes)
	Reply rate by month	No	% of outreach that received a reply (all ATSes)
	Interested rate by month	No	% of outreach that received an interested reply (all ATSes)
Hiring
	Total hires	No	Candidates that have accepted an offer (Greenhouse only) Candidates that have moved to the “Hired”stage (all ATSes including Greenhouse)
	Hires by month	No	Candidates that have accepted an offer (Greenhouse only) Candidates that have moved to the “Hired”stage (all ATSes including Greenhouse)
	Average time to hire	No	Sum of the average time in stage, for each stage, inclusive of both hired and rejected candidates (all ATSes)
	Offer acceptance rate	Yes - stage movement/stage activity decision available for GH	%of candidates that accepted, of candidates that received an offer (Greenhouse only) % of candidates moved to “Hired”,of candidates that received an offer (all ATSes including Greenhouse)
	Offer decline reasons	Yes - “archive reason” for Lever	Breakdown of archive reasons (Lever only) Breakdown of offer decline reasons (all other ATSes)
	Hires by source type	Yes	Candidates that have accepted an offer (Greenhouse only) Candidates that have moved to the “Hired”stage (all ATSes including Greenhouse)
	Candidates with pending offers	No	Candidates that received an offerduring the specified timeframe, but have not yet accepted or rejected the offer (all ATSes)
	Candidate count by stage	Yes - stage movement/stage activity decision available for GH	Current number of candidates with stage activity in each stage (Greenhouse only) Current number of candidates in each stage (all ATSes including Greenhouse)
Jobs
	Current open jobs		Excludes closed jobs
	Current job openings		Excludes closed openings
	Current requisitions (LEVER)		Excludes closed and pending requisitions
	Unfilled headcount (LEVER)		Includes headcount allocated to open requisitions, excluding hires already made
	Time open by recruiter Fka: Job time open by recruiter		Average time elapsed since a job opening was opened
	Average time to fill		Average time elapsed between when a job opening is opened to closed, across all closed openings (evenif not filled)
	New: “Median time to fill”		Median time elapsed between when a job opening is opened to closed, across all closed openings (evenif not filled)
Interviews
	Interviews by week		Includes both completed and scheduled interviews
	Interview time by department		Sum of time elapsed between interview start time and end time
	Scorecard decisions		Breakdown of scorecard decisions of submitted interview scorecards
	Average time to complete scorecard		Average time elapsed between the interview end time, and interview scorecard was submitted
	Scorecard completion rate by interviewer		% of scorecards submitted of total interview scorecards
Diversity
	Hires by gender		Candidatesthat have accepted an offer (Greenhouse only) Candidates thathave moved to the “Hired”stage (all ATSes including Greenhouse)
	Hires by race/ethnicity [] • note there’s a period in this widget template that shouldn’t be here		Candidates that have accepted an offer Candidates that have moved to the “Hired”stage
	Hires by gender		Candidates that have accepted an offer Candidates that have moved to the “Hired”stage
	Hires by race/ethnicity		Candidates that have accepted an offer Candidates that have moved to the “Hired”stage
	Prospects, by race/ethnicity (fka First messages sent, grouped by race/ethnicity)		New prospects added to Gem
	Prospects, by gender (fka First messages sent, grouped by gender)		New prospects added to Gem
Peer benchmarks
	Average time to hire		Sum of the average time in stage, for each stage, inclusive of both hired and rejected candidates
	Offer acceptance rate		%of candidates that accepted, of candidates that received an offer (Greenhouse only) % of candidates moved to “Hired”,of candidates that received an offer
	Hires by gender		Candidates that have accepted an offer Candidates that have moved to the “Hired”stage
	Hires by race/ethnicity		Candidates that have accepted an offer Candidates that have moved to the “Hired”stage

Have any issues or questions on this topic? Please feel free to contact your dedicated Gem Customer Success Manager directly or our Support team at support@gem.com.

Greenhouse movement vs activity
Dashboard Metrics
Dashboard Widget Definitions