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How are the passthrough rates calculated in Pipeline Analytics?
How are the passthrough rates calculated in Pipeline Analytics?

Understand how we've built the computation of the passthrough rates

Diane Bunod avatar
Written by Diane Bunod
Updated over a week ago

Conceptually, pipeline metrics track passthrough rates between each stage of a job.

We present these metrics at a given date, they are a picture of what the pipeline was at that time.

Date picker

We have chosen to show a picture of the pipeline at a precise day. It means that if you choose a date before the first talent was added to a job, then the passthrough rates of the job will be 0% as the pipeline was empty at that time.

Here is an example: from December 14, 2022 to January 5th, 2023:

Details of passthrough rates and time spent in stages in a modal

You can have the details of the computation of the passthrough rates by clicking on the job. You can also access to the time spent per stage.

You can see the passthrough rates per stage and per stage category

Thanks to the toggle "Show stages" / "Hide stages", you can display either every stage of the jobs below or only the stage categories that are the same for every job:

  • New

  • Screening

  • Interview

  • Closing

  • Hired

When is a talent considered counted in step N?

A talent is considered counted in a stage N if :

- if it is present in this stage

- if it has been rejected in this stage

- if it has moved to the next stage

- if it has been removed from the job at this stage

We brought you 2 methods of calculation for passthrough rates

  1. The first method consists in including all the talents in the computation. The passthrough rate of the stage N to N+1 is equal to the number of talents that have moved from a step N to a step N+1.

    Passthrough rate (N > N+1) = [Nbr of talents that went in stage N+1] / [Nbr of talents that went in stage N] x 100

  2. The second method is based on not taking into account the talents that are still in stage. Indeed, we don't know yet if they will be positive or negative outputs, so we don't bias the data. It is a more accurate method if you clean your pipeline often and reject all the candidates that are stopping the process.

    Passthrough rate (N > N+1) = [Nbr of talents that went in stage N+1] / [Nbr of talents that went in stage N - Talents still in stage N] x 100

⚠️ It is normal that both methods don't have the same passthrough rates at the beginning because one is more optimist (the second one) and the other is more pessimist (the first one). At the end of the journey, if you've cleaned your job pipeline by rejecting all candidates that were not hired, both computation methods should have the same passthrough rates.

You can easily access the 2 methods thanks to the toggle called "Incl. currently in stage":

Filtering and sorting

The jobs are sorted by creation date: from the newest to the oldest.

You can access 2 filters:

  • Jobs: you can choose which job to display in order to focus on it. You can also select departments.

  • Sources

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