How do I read the Gender Report graphs?
Gender Representation by Stage
This graph shows the percentage of candidates in each gender category at each stage of your recruiting process. This graph can help you see if there is a disparity in candidate gender equality at any given stage(s) of your process.
Possible indications of biases in your recruiting process may be:
- The percentage of Male and Female candidates have a large disparity at many or all stages of the hiring process.
- The percentage of Male and Female candidates is similar in early stages but there is a large disparity in one or more of the later stages.
Pass-through Rates by Gender
This chart focuses on pass-through rates by gender representation across stages. It shows the difference in percentage points between male and female pass-through rates at each stage of the hiring process.
- Thin, dark bars suggest that male and female candidates are being advanced to the next recruiting stage at a similar rate
- Red bars suggests male and female candidates are being advanced at significantly different rates.
The direction in which the bar extends shows which gender category is advancing at a higher rate. For example, in the above graph, male candidates are advancing at a slightly higher rate in the Offer stage, while female candidates are advancing at a significantly higher rate in Hire stage.
This can also be seen in the data table by comparing the pass-through rates for each gender at each step. You can see below that the male pass-through rate from Offer to Hire is 52.5% and for female candidates it is 63.3%, or 10.9 percentage points higher than the male pass-through rate.
Context is important to consider when interpreting these charts, as specific situations may suggest slightly different insights. One scenario in which a red line wouldn’t be as much cause for worry is if one of the gender categories was underrepresented at one stage and their pass-through rate to the next stage was high, bringing the representation closer to equal at the next stage, as in the example above. Therefore, it’s important to take both graphs into account.