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5 posts tagged with "amplitude"

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· 8 min read
Chavez Harris

Most software features are designed and tested in-house before making their way into the hands of users. While this is somewhat of a standard approach in feature deployments, it may cause user experience issues. This is because the majority of end users are not tech-savvy and aren't thinking the way engineers do.

Cover photo

Adopting an A/B testing approach prior to making a final feature deployment decision can prevent or lessen the risk of interfering and affecting user experience. Features can be tested and released to a subset of end users initially where the current metrics can be recorded and compared to a previous benchmark. As a result, developers may choose to improve or cancel the feature altogether without the risk of blindly affecting the entire user base.

· 9 min read
Zayyad Muhammad Sani

Scenario: You’ve thought up a small change for your app. You write and test the code, and everything looks good. As you’re about to push it into production, you stop and ask yourself, “Will the users like this?”

You start having doubts, that maybe the idea isn’t as good as you previously thought. Still, you continue to have a strong feeling that it’ll make your app better.

One solution to this dilemma is to gradually introduce the change to a portion of users and track its impact on them. This is called A/B testing, and it’s a simple, low-risk way of letting your users pick which variant yields better results.

· 6 min read
Peter Csajtai
Gergely Sinka

This is a step-by-step guide on implementing an A/B testing scenario using ConfigCat and visualizing the results in a funnel with Amplitude. There is a working sample application on GitHub if you want to follow along.

A/B test illustration

· 6 min read
Jan Sipos

Separating your customers into distinct segments will help your product in all sorts of ways. It can help you track the usage of your app in a more meaningful and granular way. It can also reveal how specifically different segments behave differently, which will help you prioritize future feature development as well as focus your marketing efforts.

Graphs and charts representing user segmentation