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
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