for a certain type of role. These included internal-only requisitions, requisitions with a single application, and requisitions with incomplete job content (e.g, don’t describe the skills/qualifications of the jobs or only include placeholder language). Data Analysis In this analysis, we assumed that a job posting represents hiring intent. At Datapeople, we know that this may not always be the case: a single job posting can represent multiple positions (e.g., evergreen jobs, pipeline reqs, high-volume roles) or vice versa. Our goal in this analysis was to map industry-wide trends. Therefore, we looked for significant and robust changes. The analysis we present is the result of multiple tests with subsamples of data. We did this to exclude the impact of particular companies so that we could validate that a trend was broadly applicable and not just the result of an individual company’s recruiting hygiene. Moreover, to understand changes in the trends we observed, we tested for compositional biases in the attributes of the job, company, and location in our data. Although these tests could yield multiple variables that could correlate with a trend, we identified and discussed the ones that were the most robust. Data not shown We focused our storytelling and data visualization on trends where we saw significant and robust change. There is a significant amount of data that we did not show or represent in order to focus the narrative on compelling stories. Reporting Change In this report, we represent changes between two time points in two different ways: Percentage changes ● This is our dominant approach. Percentage changes refer to the rate of change and take into account what the initial value was. ● For example, if 2% of jobs were remote in 2019 and 10% of jobs were remote in 2022, to determine the percentage change we would divide 8% (10% - 2%) by 2% (the original amount) and multiply it by 100. The percentage change would be 400% or a 5-fold increase. This is dramatic, exponential growth, and the percentage change represents that. © Tapwage Inc 2022 31