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Bucket — From feature launch to customer satisfaction
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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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!
The craftmanship that went into building this product is super impressive! Congrats to the whole team 👏
The STARS framework is definitely a good alternative to the funnel approach we had for such a long time, I hope to get to use it soon on my next big project <3
Congrats for the Bucket launch!🚀 I can see all the hard work that went into and you guys nailed it! Really great job 👏🤞
The product millions of us needed our entire careers. On paper, it looks exactly what you need to understand how the product is being used on a feature level. Can't wait to try it out asap! Congratulations on the launch!
@natannikolic Right!? That's how we've felt, too, so.. we built it! Thanks Natan! 😻
Great work @makwarth and the rest of the team, this looks amazing!
Great to see the evolution over the past years 🙌 and the STARS framework is just 🤌
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)
@eonpilot Hey Andre. based on CSAT scores for retained accounts. Check https://bucket.co/stars-framework and https://www.starsframework.org/#... for details
@eonpilot if they’re still using the feature and have provided a positive satisfaction score
Congrats on the launch! At Playbook, we've been looking for ideas on how to better evaluate our feature launches - I really empathize with the frustration of using bespoke dashboards + scattered qualitative feedback.
I'll definitely be sharing the https://www.starsframework.org/ and Bucket with the team :)
Congrats on the launch! Happy customer here and love how fast you guys evolve. GLHF!
Congratulations @roncohen and @makwarth! Cannot wait to try this product on top of ClickHouse Cloud. We've shipped a lot of features in the last 12 months and even though we are a data analytics platform company and have a formidable data warehouse with every click in our website and cloud console UI deployed internally, having concise, automated reports for product and feature analytics is a big lift for our relatively small team. We are all busy, and checking back on what we ship is still a challenge. Excited to have another option for our teams to evaluate in this space.
![Kerno [Public Beta]](https://ph-files.imgix.net/e7cd3065-85d7-40eb-989f-9f6db306466e.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=16&h=16&fit=crop&frame=1)
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