To represent the challenge I had with the number of JSON files, here is just the general channel’s folder containing all the conversations broken down by days, like this: detailed code, browse my GitHub repo here.visuals (done in Tableau) check out my presentation.Could have been done through the Slack API as well, but that was out of scope for my project.įor the sake of keeping this blog post concise, note that I focused on highlighting the exciting parts of the code, not the insights it gave. My dataset included public Slack conversations from the first day till the last at the Ironhack Bootcamp provided by the Slack admin. This was also the final, e2e project of my Bootcamp and I had subject matter experts at hand as stakeholders (my lead teacher and my project mentor) to direct me towards a value-driven product. I had the data, all I had to do is draft the questions I want to answer and do it. Since a considerable amount of my career was already done remotely (pre-covid times, actually!), I found these questions sparkling excitement and joy in my brain hungry for creative solutions. Remote environments give very little chance for teachers and leaders to gain feedback and optimize their content towards better performance. Ever wondered how engaging was the content you delivered? Was it clear or confusing? Or if people misunderstood your message at that company-wide meeting?
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