Episode 85: [Value Boost] The Office Politics Survival Guide for Data Science Experiments

Here's something that data science courses don't prepare you for: even your most brilliant analysis can fail if you can't navigate the human side of your organisation. And office politics becomes especially tricky when you're running experiments. You're essentially asking people to place bets on their ideas - and then potentially delivering the news that their bet didn't "win".

In this Value Boost episode, Miguel Curiel joins Dr. Genevieve Hayes to share practical strategies for handling the political challenges that come with experimentation and data science work, so you can drive real change without creating enemies.

You'll learn:

1. Why running experiments is politically riskier than regular analysis [01:50]
2. The mindset shift that turns experiment "failures" into wins [03:56]
3. How to overcome the "it worked for Netflix" objection [05:07]
4. The simple strategy for reducing political friction around data work [08:24]

Guest Bio

Miguel Curiel is the Product Analytics Manager at Bloomberg, where he works at the intersection of technology, data and human behaviour. He has a background in neuroscience and psychology and is currently writing a book on product analytics.

Links

• Connect with Miguel on LinkedIn
• Connect with Genevieve on LinkedIn
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