By: Stormly , at February 27, 2021

Discover which features your users like best and make better product decisions

Product features can be a make or break deal for consumers considering purchasing your product. That’s why it is crucial to figure out what’s important to them by analyzing what features you have, and comparing their intensity and usage relative to other product features you have.

A product features analysis is a comparative review of the feature set for a given product. It can be executed by looking at which features are most heavily emphasized and how frequently they’re used in comparison to other features on the same device or software. This type of review can help you identify what’s truly important about your products, giving you a better idea of where to focus your efforts as time goes on.

Luckily, it is very easy to figure it out by using Stormly’s Insight dedicated to solving that problem: Product Features Analysis.

All it takes is a few minutes to hook up your data. If you’re using Segment, you can do this with just a couple clicks. Otherwise, uploading an Excel sheet or adding the code will do the trick!

Let’s see how that Insight will work in practice. For Yogile, a photo storage platform, it was crucial to discover which features are the most important for their users. This way, they could improve more the popular features and resign from the ones that aren’t really used.

The product manager at Yogile, simply picked that Insight and got an instant result showing that the photo editor is the least used feature of all. That means it either doesn’t work or isn’t something users are interested in. What’s more, that feature is an outsourced paid service. So getting rid of it will actually save some money!

Now they can test out an A/B experiment to see if changing that feature will help, or maybe simply getting rid of it is the best idea. You can read more about how the A/B testing process works here: https://www.stormly.com/blog/take-your-ab-testing-to-the-next-level

What are the features your users like best? Connect your data and find out!