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Bucket - From feature launch to customer satisfaction | Product Hunt

 1 year ago
source link: https://www.producthunt.com/posts/bucket-6
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From feature launch to customer satisfaction

Bucket

From feature launch to customer satisfaction

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Delight and retain customers by repeatedly shipping features that matter with Bucket’s all-in-one solution for product teams. Bucket gathers engagement metrics and qualitative insights, so you can consistently measure customer satisfaction of any feature.
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Kudos @makwarth et al @ launching! Excited about better metrics and context that help us all make better decisions in product management.

I’m so excited to introduce Bucket to the Product Hunt community! We have put A LOT of effort and soul into crafting this product. It’s something we’ve wanted to have ourselves for so long. We hope you like it!

Many tech companies end up as feature factories. Bucket is here to help product teams consistently evaluate features, so they can double down on the features that matter - and cut their losses on the ones that never hit home.

We do this based on engagement data and on qualitative feedback. We use the STARS framework, starsframework.org, to combine this data into a consistent feature satisfaction score.

We then report the feature satisfaction and live customer feedback to you and your team on Slack until you make a decision: Looks good or needs another iteration.

Product managers, builders and designers: We’d love to hear your feedback!

As a product manager who has worked with teams that ship frequently for a long time now, Bucket addresses one of the largest problems I see commonly. Coming back to making to sure what you delivered is successful. It's easy to keep moving forward, but sometimes you forget to look back. It looks like bucket brings in all the data points into one view and makes it very easy to validate features. Congrats to Rasmus and the team on the launch!
@alexf_19 Many thanks Alex! 😄 I've experienced the same so often throughout my career. The workflow on Bucket is a critical component as it surfaces features that aren't doing well when everyone has forgotten about them.
This looks like a very good product. Thanks for developing (and open-sourcing!) the STARS framework that Bucket is built around!

@manualwise Thanks Manuel! 😄 We definitely felt the need for a repeatable framework for feature evaluation. Feature evaluation is often done with bespoke definitions and custom dashboard. A consistent approach makes it much easier to trust the data and compare features. To boot, STARS includes the qualitative insights, so you go beyond just the metrics and get the full picture.

(You can learn more about the STARS Framework at https://starsframework.org)


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