Case Study: Beekeeper improves data quality and tracking confidence with Iteratively

How Beekeeper uses Iteratively to improve data quality through cultural change

Beekeeper, a SaaS company in Zürich that helps frontline workers communicate and access tools in one place, struggled with inconsistent and incomplete analytics tracking across its iOS, Android, and web apps. Event definitions lived in an outdated Confluence page with no clear owner, which led to missing tracking, poor QA, confusion for product managers, and low trust in data from tools like Mixpanel.

Beekeeper implemented Iteratively as the source of truth for analytics tracking, using it to define, document, test, and manage events across teams, with branching to support private collaboration. With Iteratively, Beekeeper saw a major cultural shift: new features launched with accurate tracking, product managers used Mixpanel far more, confidence in data improved, and BI and engineering spent less time on back-and-forth and Jira tickets.

Beekeeper

Roland Meyer

Software Engineer