Pretty simple to make a hypothesis, right? If/Then statement, and boom, done. I already did most of the hard work in just having the framework.

Not quite.

A lot of work (and pre-work) SHOULD go into making a hypothesis, so that it can go from a "meh" but functional hypothesis, to a hypothesis that not only drives results, but trust in your experimentation program too! And bonus: Juliana "Run the Jewels" Jackson offers 2 columns / buckets of info you probably never considered which should be available for stakeholders to improve on the presentation of the hypothesis and test doc as a whole.

We got into:

- What exactly IS a hypothesis (good AND bad)

- Why your hypotheses actually suck (and how to make it better)

- Going beyond the hypothesis to make sure your test ideas are matching what stakeholders are looking for

Timestamps:

00:00 Episode Start

07:24 Hypotheses Need to Reflect What the Business Truly Cares About

12:54 Example of a GOOD Hypothesis

20:21 Do Hypotheses Need to Be MORE Tactical? Or More Strategic? (In Their Wording?)

27:18 Juliana's Two "Can't Miss" Buckets of Information You MUST Have for Every Test

34:31 Shit You Need to Know: Haley Carpenter

Go follow Juliana on LinkedIn, and check out her amazing “Standard Deviation Podcast” too!

- https://www.linkedin.com/in/juliana-jackson/

- https://www.linkedin.com/company/standard-deviation-podcast/

Make sure you go follow Haley and check out her post too! https://tinyurl.com/FromAtoBHaley

Subscribe to our newsletter for more memes, clips, and awesome content! https://fromatob.beehiiv.com/

If you have listener questions, submit them at https://tinyurl.com/askfromatob for a chance to be featured too!