Count has been a game-changer for our data team. Its unique blend of a data notebook and collaborative whiteboard has transformed the way we approach analysis—moving us away from static dashboards and towards deeper, more impactful problem-solving. The ability to query data in SQL, visualize results, and collaborate with stakeholders in real-time within a single workspace has streamlined our workflows and boosted team productivity. We particularly value Count’s intuitive approach to breaking down complex SQL models into connected CTE graphs with live results. This makes exploring, debugging, and iterating on data models both faster and more collaborative. Exporting work as full SQL scripts is equally smooth, keeping our work highly shareable and actionable.

Count has become the first place I go when working with our data, and I usually don't leave. Where context used to be stored across multiple tabs, Miro boards, figma designs, spreadsheets and more, I can now pull everything into one canvas and work alongside it. I don't need to keep it all in my head any more. Having all of the context in the same place also helps when coming back to something after some time away - there's no need to go searching for requirements, or alternate versions, everything can be dropped into the one place.

I really enjoy the canvas-style approach to BI. It feels much more fresh, speedy, and accessible than tools like Tableau. It's really well-suited for: - Enabling data teams to co-create insights in real-time - Allow for rapid, iterative data exploration at the beginning of an analysis - Visual storytelling, for example for workshops - Running Python scripts This makes it very valuable for BI analysts. As a previous data analyst, now product manager, I use it almost daily. Customer support is also good and feature improvements have been turned around quite fast.