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Essential product management skills
How to work effectively with cross-functional teams
How to identify and prioritize customer needs
A/B Testing vs Multivariate Testing
These two tests are not opposites, but two ways of approaching the same problem - the need to test your ideas.
Multivariate testing is used if you have many variables to test at once and if your userbase is big enough to create multiple segments.
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MORE IDEAS ON THIS
Set the parameters for the test
Before you deploy the test, you need to make sure it meets the minimum acceptance criteria.
Every test in your backlog needs to have a detailed:
- Hypothesis
- Definition
- Implementation plan
- Expected outcome
Once you've set the minimum criteria, y...
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A/B Testing
A/B testing involves splitting your audience/user base into two groups. The two groups receive two versions of a feature. After a specified time, the product manager will look at the data gathered to know which version should be used for the entire user base.
The point of running a test is ...
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What to Do With The Data
The biggest mistake you can make after running an A/B test is to just pick the winner and forget about the test.
Testing is about understanding the reason why. Your users have given you more information about themselves, and to serve them properly you need to take advantage of tha...
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A/B Testing Tools
If you’re a larger organization, Optimizely may be suitable for deploying powerful tests and managing the insight you glean from them.
If you’re on a tight budget, many developers like to keep it simple with Google experiments.
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Develop a hypothesis
- The first step is to decide what you're trying to find out. Base your hypothesis on real pain points within your product. Find something that you need to fix and consider ways to fix it.
- Decide how you'll be measuring the results.
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Multivariate Testing is More Reliable
Things like differences in your competitors' marketing strategies, political change, or a variety of other variables can make it difficult to directly compare the results of A/B tests.
As a result, sometimes it can be hard to know if a particular A/B testing variant succeeded (or failed) be...
A/B testing
A/B testing, also known as split testing, measures two social media posts against each other to see which performs best.
The most common way of using A/B tests is to only change one element of the post between the two versions (headline, image, CTA, etc) so that you know any difference in p...
How Does A/B Testing Work?
A/B testing works by randomly showing two versions of the same asset (ad, website, pop-up, offer, etc.) to different users. The random part is important because this provides more accurate information without skewing the results.
One version is the “control” group, or the version already i...
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