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Preview
The first method of quantitative testing that we’ll be discussing is A/B testing. This method compares two or more versions of a website or app to find which one performs better on a specific conversion metric.
How to know when to run an A/B test and how to get started running one
- Something is off in your analytics data
- Find out why
- Propose a potential solution
New terms:
- Control group -- People who see the original website design. This is used as the baseline for your experiment.
- Experimental group -- People who see the design being tested.
- Multivariate testing -- Technique for testing multiple concepts at the same time.
- Conversion rate -- Rate at which visitors to your site get to a particular goal that you have chosen (ex. making a purchase, signing up for a service, or subscribing to a newsletter)
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research designed to get to
the root of behaviors, so
0:00
you can anticipate how people
would use your product and why.
0:01
However, if you want to get into the data
representing how people are using your
0:05
product today, that's where
quantitative testing comes in.
0:10
To kick off our quantitative
method deep dive,
0:14
let's discuss A/B testing
starting with an example.
0:17
Ever notice that your Facebook feed
has a different design than before?
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But when you mention it to your
other friends on Facebook,
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they don't know what you're talking about.
0:28
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