Dashboard Week - Day 4 Diversity

Today's task was to take one of Season 2's Real World Fake Data and make a dashboard which answers some key questions. We were also tasked with thinking of any additional questions we could answer with the data we have.

I decided to work on the HR Diversity Scorecard which is also a Tableau Accelerator. Right off the back, I really liked the original dashboard and I thought it answered the questions well. I wanted to use it as inspiration but look into the data a bit differently. I knew I wanted to make some charts to see how this fake company hires and how many diverse/POC/female they hire every year. From here I wanted to answer all of the questions that were tasked (similar to the original dashboard) but in a more clear, consise way so that you can get the answers straight away. I also wanted to limit the interactivity to just a year filter so that nothing is lost.

The questions I aimed to answer were:

  • How diverse is the organisation, overall?
  • What’s the gender distribution in the organisation?
  • What percent of the organisation are Persons of Colour?
  • How are diverse is the organisation by job level?
  • How satisfied are their employees, by demographic?
  • How does employee performance compare, across demographics
  • Improve the KPIs

To do this I wanted to use a mixture of KPI's, dot plots, Area/line charts and stacked bar charts.

Of course, my original sketch did not turn out to be what my dashboard looked like but it was definitely a start! In the end, I actually kept it very simple and let the charts speak for themselves. I also added in a second dashboard which starts to answer some of the background information I was given. It was interesting to see how each demographic differs when it comes to factors like education, marital status and job types.

The questions I recommend to be answered in the future would be:

  1. What are the demographics of hiring managers?
  2. Why are non female and non poc staff members happier in their jobs?
  3. Why are more diverse staff members scored poorly in performance?
  4. Do background factors such as education and martial status affect job types?
Author:
Kate Joyce
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