Beta release workflow

An alternative to A/B experimentation to build with taste not tests.

1. Move your feature into the beta stage

Give customers early-access, and enable feature feedback and adoption tracking.
Feature stages in Bucket
Perfect features faster with insights from early adopters.

Provide self-serve signup.‍

Manually give companies and users access.

2. Collect feature feedback

Capture customer issues, requests, and understand what needs work.

Static in-app feedback button.‍

Automatic survey at the right time.‍

“The feedback collection in Bucket was a key feature that we wanted to adopt to continuously iterate on our product.”

Samy Pessé

CTO, GitBook

3. Review feedback, discuss, then iterate

Bring feedback into your development process and make the changes that matter.

In Slack.‍
In Linear. Get early access.
In the browser.‍
Via MCP.
“Bucket brings in all the data points into one view and makes it very easy to validate features.”

Alex Francoeur

Product, Xata

4. Track usage and set goals

Use feature adoption metrics to guide you to feature-market fit.

Monitor usage with the track method.
Know who tried vs. adopted.
Set goals and see the impact of changes on a ready-made feature adoption dashboard.‍
STARS steps, frequency, feedback, satisfaction
Available metrics: tried, adopted, retained, satisfied, frequency, feedback, satisfaction.
“Getting the relevant feature data to chase you, and not the other way around, is changing how we evaluate features.”
profile photo of Paul Dariye

Paul Dariye

Engineering Lead, Pleo