We’ve just made it easier to debug event data and to turn any event into a Bucket feature.

We’ve just shipped an update to the company view that enables you to view feature engagement and satisfaction through the lens of a single company account.

It’s now possible to sort the feature views by column. This enables you to quickly get a list of features with the highest retention, the lowest satisfaction, most frequency of use or latest release date.

Using the STARS framework on Bucket, you can quickly establish a consistent baseline for customer engagement and satisfaction of any feature. But how does one feature compare to other key features in your product? And how do those comparisons change over time? Answering those critical questions has just gotten a whole lot easier as we’re introducing the Bucket Audit Matrix!

Our mission is to empower product teams to deliver impactful features that delight and retain customers. Today, we’ve added a major addition to our service that brings us closer to our mission: Introducing in-app qualitative feedback!

Todo -> Doing -> Done. But what happens when a feature is marked as Done? It’s deployed and live with the customers. That’s undoubtedly the most crucial time in the feature cycle, and that’s exactly where existing tools and workflows stop today. It’s nuts!

Adding tracking to a feature release is often an afterthought or forgotten altogether. Many engineers have received a DM from a PM around the time of feature release saying something frantic like: “did you remember to add tracking? we need to track this feature!”

If you’re detecting high churn or low activation on a key feature, you want to reach out to the relevant accounts for feedback, and learn how you might improve the feature.

We’ve just shipped a highly requested feature: Saved segments. This feature allows you to group companies into reusable segments, which you can apply to any feature report. You group companies by company attributes.

Dashboards always come with a trust issue: Can you trust the metrics? Is the tracking still working? To address this issue, the Bucket feature report now includes tracking health indicators to help ensure that the data is still coming through and that the report is based on the most recent data.