Introducing Heap's engagement analysis: the easiest way to decipher patterns in user behavior

As a Product Manager or Analyst, you're on a perpetual quest to understand the usage of features in your product or service. Your mission is as critical as it is challenging - to gauge the success of new features or changes and their impact on the user experience.

By understanding how different users engage with various features in your product, you can make smarter product decisions that resonate with your users and propel your business. 

You need to be able to answer questions like:

• How successful was the rollout of our latest feature?

• Are there any underutilized features that we should consider sunsetting?

• Which features are most used by our premium user segment?

But doing that is easier said than done. Typically you have to juggle multiple tools and dig through a bunch of ad hoc queries. At that point, you can only guess how your features are performing against each other. 

Shouldn’t there be a more straightforward solution?

Now there is. 

With Heap’s new engagement analysis, you get a new streamlined approach to feature analysis. Easily map how often users interact with different parts of your product. In just a few clicks, get a clear picture of which features are popular and patterns in usage.

What can you do with engagement analysis?

Engagement analysis gives Product Managers, Analysts, and anyone else running queries a fresh way to look at feature use. It doesn't just simplify the process; it upgrades how you approach feature analysis. 

Let’s take a closer look at how you can use engagement analysis.

Compare engagement across features

Heap's feature engagement analysis works like a custom dashboard for understanding engagement. It allows you to assess new features or changes using detailed metrics and compare them easily to other features. The module simplifies comparison, giving you data-driven insights to plan future releases. No more writing multiple queries to see how different features perform.

Dive deep into segment exploration

Using the feature engagement analysis, you can compare usage across different groups or properties. It's like having a magnifying glass to study your target customers' behavior.

Asses product health holistically

With the overview feature of Heap's engagement analysis module, you can see the health of your entire product portfolio in one place, visualized as a scatter plot. This equips you to compare features and understand where your events sit relative to all events on a more comprehensive scale.

Analyze feature performance effectively

With our simple-to-use scatter plot, the engagement analysis module's 'Low Users, Low Event Count' section makes it easy to spot underperforming or outdated features. This makes it easy to decide on which features to remove. 

Conversely, the 'High Users, High Event Count' section gives instant insight into what's successful so anyone can understand what’s working. With that knowledge, you can prioritize the most critical optimizations for your product.

Share insights with ease

If you want to build a data-driven culture in your org, you have to be able to share insights easily. That’s why Heap’s engagement analysis makes it easy to save charts to dashboards or export them to CSVs. Collaborate with others in your analysis or share high-level learnings with your leadership team seamlessly.

Interpret data efficiently with table view

Beyond just powerful data visuals, Heap's engagement analysis module offers a clear table view. This lets you quickly compare events, showing how many users complete each event and how often they do it. The table view keeps things simple by showing raw numbers, demonstrating how users engage with different features.

Putting the engagement analysis module to work

The engagement analysis module empowers you to unpack crucial details about how users interact with your product. 

You can answer questions like:

• How does feature engagement differ between our new and returning users?

• Can I get an overview of the health of all features across our product portfolio in a single view?

• Are there any noticeable behavior patterns tied to certain features?

• What's the ratio of active users to the frequency of feature usage?

• What's the best way to share these insights with the rest of my team?

With Heap's engagement analysis module, you can answer these questions and get deeper insights that help shape your product plans.

The takeaway

You don’t have to struggle to understand how your users engage with your features. With engagement analysis, Product Managers, Analysts, and anyone else running queries get a fresh way to look at feature usage. It doesn't just simplify the process; it upgrades how you approach feature analysis. 

It's time to tap into your data's potential with engagement analysis. The power is in your hands – seize it now so you can invest smarter and build a product that your users truly love.