6 ways you might be ruining your experimentation program
Experiments are hard. The first step is not falling into traps.
Running experiments is by far one of the best ways to make educated decisions about what features you should, or should not deploy to your web applications. However, there is a hidden complexity that can undermine your entire program if you’re not careful. This webinar will cover some of the most egregious experimental design mistakes and how you can avoid them to develop trustworthy experiments.
In this webinar, you’ll learn:
- Identify bad experimental design
- Build a process for finding and rooting out risk
- Discover potential errors in the current or past dataset
- Build trustworthiness into the foundations of your experimental program
Have any questions?
The webinar will last about 45 minutes. Have questions? Send them in the webinar chat.
About Chad Sanderson
Chad Sanderson is an Experimentation Specialist, with experience working at companies like Microsoft, Sephora, Subway, and Oracle in various analyst, consultant, and product manager roles. Chad specializes in building programs centered on good experimental design process and solid statistical understanding. He also likes houseplants and is not a fan of runny eggs.
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6 ways you might be ruining your experimentation program
Experiments are hard. The first step is not falling into traps.
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