How does Datapeople calculate drop-off rates?

At Datapeople, we represent drop-off rates in two ways:

• The overall drop-off rate is the percentage of all candidates (who applied in the selected date range) who removed themselves from your recruiting process.
• Stage-by-stage drop-off rates look at the proportion of those candidates who advanced to a given stage that removed themselves from your recruiting process at the given stage.

Overall Drop-off Rate

At Datapeople, we organize candidates into two major status categories: 

• Unresolved candidates are those that are active in the process. 
• Resolved candidates are those who have a final outcome for the given stage: they may be rejected, advanced to the next stage or dropped-out.

We map all candidate stages and statuses from the ATS at the time of integration--if there are unknown or unclear entries, we will collaborate with you during onboarding to clarify them.

We name the subset of the candidate pool without active candidates “Net Applications” and consequently refer to our drop-off rate as a “Net Drop-off Rate”.

We calculate Net Drop-Off Rate by dividing the number of candidates that were resolved to a “dropped out” state by all resolved applicants. 

candidates who dropped out

______________________________

all resolved (non-active) candidates

For example, say you have 5,623 candidates apply and 266 are currently active (unresolved) while 5,357 have been resolved (hired, rejected, dropped-off). If 329 of your applicants dropped out of your recruiting process at some point, we divide those 329 candidates by the 5,357 resolved (non-active) Net Applications, giving you an Net Overall Drop-Off Rate of 6.1%.

Stage Drop-off Rates

Datapeople consolidates recruiting stages into five categories and maps candidate activity to one of four statuses within each stage.

Unresolved:

• Active: The candidate has been advanced to this stage but no decision has been made about their further advancement yet.

Resolved:

• Advanced: The candidate was in this stage and was then advanced to the following stage.
• Rejected: The candidate was advanced to this stage, but the company decided not to advance them to the following stage.
• Dropped Out: The candidate was advanced to this stage, but removed themselves from the process before being advanced to the following stage.

Stage Net Drop-Off Rates are calculated by dividing the number of candidates that dropped out while in a given stage by all resolved applicants (who applied in the selected date range) that passed through that stage at any point. 

candidates who dropped out in-stage

______________________________

all candidates who advanced to and were resolved at stage

As in the Overall Net Drop-Off Rate, active candidates are not included in Stage Net Drop-Off Rates. For example, say you have had 321 candidates (who applied in the selected date range) in your Assessment stage and 3 are currently active in that stage while 318 are resolved. To get the drop-off rate for that stage, would divide the number of candidates that have dropped-out during that stage (58) by the number of candidates who have been resolved (advanced, rejected, dropped out) in that stage. This gives us an Assessment Net Drop-Off Rate of 18%.