Workflow reports will help you to gain important insight into the effectiveness of your recruiting process, based on how candidates are moving through your custom workflow stages.
For all of the workflow reports, you will be able to view each separate workflow template or job workflow as a unique data set.
The Candidate Pipeline report provides a current snapshot of your hiring process. This report will include the number of candidates that are currently in each workflow stage, as well as the average number of days candidates spend in each stage. Because this report shows where your candidates are right now, it will help you to identify bottlenecks in your recruiting process.
You will be able to click on the candidate count numbers in all workflow reports to drill into the specific candidates occupying that stage. This can allow you to analyze specific cases, including examples like time in stage compared to date applied or job specific metrics. Additionally, all data contained in workflow reports is able to be exported to Excel for further analysis.
The Pipeline Conversion report shows how candidates progress through workflow stages during a specified date range. Specifically, this report shows conversion rates in the context of candidates that exited the workflow stages as shown in the report. The Pipeline Conversion Report also reveals important trends about the efficacy of your recruiting process; reviewing conversion can help you to identify when candidates are dropping out of the process.
In the above example, one conclusion we can draw is that the overwhelming majority of candidates are moved to a Not Hired status following the interview process.
The Pipeline Speed report will help you track the average time candidates are spending in active stages of the recruiting process (i.e. before they are marked as "Hired" or "Not Hired"). This report should not be confused with Time to Fill or Time to Hire because it is not calculating cumulative time spent in the process. This report can be helpful in in creating benchmarks so that you can measure improvement over time.
This example shows metrics from one quarter. The Average Time per stage data could be used to try to streamline the process; for example, trying to shorten the time spent in an Interview stage in order to move more candidates through the pipeline.