How Simulation Can Help or Hurt Analytics?

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People often have preconceived notions of what they think the result is or should be. I've literally watched executives watch a usability lab test and walk out thinking that user is so stupid. It's sort of like they just can't put their mind around the idea that, oh yeah, maybe it's my problem or my fault or my idea is not the right idea. The phrase I would use to describe that is that you're telling them the baby's ugly. Nobody likes to hear that.

When it comes to simulation, we're all really asking the same question: are we living in one? Alas! We did not tackle that on this episode. Instead, with Julie Hoyer as a guest co-host while Moe is on leave, we were joined by Frances Sneddon, the CTO of Simul8, to dig into some of the nuts and bolts of simulation as a tool for improving processes. It turns out that effectively putting simulations to use means focusing on some of the same foundational aspects of effectively using analytics, data science, or experimentation: clearly defining the problem, tapping into the domain experts to actually understand the process or scenario of focus, and applying some level of "art" to complement the science of the work! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.