How do I read the Drop-off graphs?
At what stage do most candidates drop-off?
This graph asks the question "Out of all active candidates who reached a given stage, what percentage dropped out at that stage?" This tells you which stages are seeing the biggest proportion of drop-offs.
Knowing which stage has the highest proportion of drop-offs allows you to see where drop-offs are causing the biggest impact relative to your pass-through rates. You may focus on reducing drop-offs at a stage with a high drop-off rate to reduce the impact that is felt at that stage.
We calculate this for each stage by dividing the number of candidates who were advanced to the given stage but removed themselves from the process anytime before moving to the next stage, by all resolved applicants for that stage.
candidates who dropped out in-stage
__________________________
all candidates who advanced to and were resolved at stage
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%.
This metric is also show in the Drop-Off Report table.
Typically, the drop-off rate increases at each stage, as the number of candidates reduces. If you are seeing different behavior, that may be an indication that there is something of note happening at a certain stage.
At what stage do most drop-offs occur?
This graph asks the question "Out of all candidates who dropped out, what percentage dropped out in a given stage?" This tells you which stages are seeing the biggest percentage of drop-offs.
Identifying the stage(s) where drop-offs occur most frequently can allow you to identify problem areas in your recruiting process. Is there something that is occurring at that stage of the process that is turning off candidates? A candidate experience survey can help you track sentiment around each recruiting stage.
We look at where the highest number of drop-offs is occurring as a ratio of the number of candidates who advanced to the given stage and then dropped out divided by the total number of candidates who dropped out at any stage (total number of drop offs). This calculation does not take into account the candidate pool size at each stage, but rather focuses on where the largest number of drop-offs are occurring.
candidates who advanced to stage and then dropped out
______________________________
all candidates who dropped out at all stages
For example, if you have 329 candidates who dropped out of your process and 58 of them dropped out during the Assessment stage, we would divide those 58 candidates by the 329 total candidates who dropped out of the process, telling us that 17.6% of your drop-offs occur at the screening stage.