Here's my problem. Most of the teams, and startups I interact with, are working on Growth, and therefore conduct lots of experiments.
However, many of the team members do not really have a working idea of what's a good experiment. This could be dangerous for their projects and efforts. This is more disheartening for me because my product deals with scientific growth experiments.
While after explaining it, they get it (they are pretty smart, usually), but I am sure there are many who don't know and don't know that they don't know.
All online content on hypothesis seems to be pretty heavily worded. Which is good for rigour, but not useful when a 22 year old marketer is looking at it at 3 am in the morning.
So I have started to write a series and the very first article is here: https://www.lightcat.io/hypothesis
This is in a language that most people should understand (I think). Would love feedback and thoughts on this.
Do you think that scientific methods need to be explained in a manner that everyone gets it? And that there are not many resources out there for this? And whether the material I have written solves the problem.
* "Why You Don't A/B Test... And How You Can Start This August" https://training.kalzumeus.com/newsletters/archive/why_you_d... (https://news.ycombinator.com/item?id=6161552 | 119 points | Aug 5, 2013 | 56 comments)
* "Dispatches From The A/B Testing Trenches" https://training.kalzumeus.com/newsletters/archive/ab_testin... (https://news.ycombinator.com/item?id=12540590 | 166 points | Sept 20, 2016 | 46 comments)
Also, a good Mythbuster marathon may be helpful, but it is more difficult to explain as a business activity.