Week 6 for DSAU19 was full of surprises.

Andy Kriebel, the Global Head Coach of The Data School, conducted a training session and led a public makeover Monday (or rather, Tuesday), which we were fortunate to attend. DSAU19 also took advantage of having Andy and David Bartolo in the building to ask for advice during our first client project week. Here are some choice tidbits of advice they shared with us:

Andy recommended we start from the end and work backwards. When we were faced with analysis paralysis at the beginning of our client project week – tasked with creating environmental content to educate schoolchildren of all age groups – Andy encouraged us to ask ourselves what we wanted to show, to start from the end and work our way back. This advice helped us create an array of dashboards on Miro, which we presented to the client at the midweek check-in.

David’s advice was not to overthink it. After the midweek check-in, we became confused about how to best apply the feedback we received and ended up overthinking the problem. David reminded us to consider the larger picture and the story we were trying to tell.

Andy’s second piece of advice was to take every opportunity to learn. He reminded us the project was not a competition. As data analysts in training, it’s okay to ask for help, and DSAU19 worked together as a cohesive group, learning a lot during the week.

Both coaches advised us to timebox and take time to prep. Despite our best efforts, we struggled to meet our deadlines by mid-afternoon on the final day, leaving us little time to implement changes after hearing feedback from the coaches.

David also reminded us to consider the story and our audience. Rather than simply explaining the data, we should tell a story about what it means. For example, David suggested using size to show the gap between different environmental metrics and where improvements could be made, rather than just relying on numbers to show the difference.

It was a productive (full on!) week filled with valuable insights that I can’t wait to apply in future projects.



The Data School
Author: The Data School