Experimental Mind #164

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A message from Blooming People

A weekly segment featuring recruiter Mimi VerLoren van Themaat from Blooming People, who shares valuable tips, market insights, and job opportunities – ready to bloom? This week’s tip:

🔎 Interesting reads you probably missed

Think like a scientist at work

Some interesting ideas from Iván Rozo on “How can we start to think more like scientists and make it easy for our teams to use experimentation as a daily practice?”

The 37signals guide to making decisions

Jason Fried (co-founder Basecamp) shares his thoughts on decision making:

A company is essentially two things: a group of people and a collection of decisions. How those people make these decisions is the art of running a business. This guide shows how we do it.

Guide for how (not) to use proxy metrics in experiments

Often you can’t directly measure what you actually care about. Meta developed the experimentation with modeled variables playbook (xMVP) to help teams across Meta navigate this problem of unscalable ground truth.

Building empathy through experimentation

Travis Brooks, Netflix Product Manager for Experimentation Platform, talks about how experimentation can build user empathy at scale.

Fooled by statistical significance

Cassie Kozyrkov explains what stat sig actually means:

Contrary to popular belief, the term “statistically significant” does not mean that something importantmomentous, or convincing took place. … Statistics gives you a set of tools for decision-making, but how you use them is up to you — it’ll be as individual as any other decision.

Conference on Digital Experimentation round up

Sven Schmit, Head of Statistics Engineering at Eppo went to the MIT CODE conference and shares his insights. A couple of his takeaways:

  • interest in experimentation is growing rapidly, and we are only scratching the surface on problems practitioners face
  • make solutions accessible to the non-expert so they feel empowered to make better decisions

📃 Validating causal inference models

A paper from Amazon that discusses the difficulties of drawing causal inferences, and the various methods that have been developed to try to overcome these difficulties.

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💬 Quote of the week

“Statistics gives you a set of tools for decision-making, but how you use them is up to you — it’ll be as individual as any other decision.” — Cassie Kozyrkov (source)

Fun of the week

Sometime we have done enough research and it’s time to decide. (via Marketoonist)

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Have a great week — and keep experimenting.