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 cavas 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 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.

The user interface (canvas) is a really clever innovation. Gone are the days of jumping back and forth through different tabs or scrolling through notebook cells; the logical flow of data is super clear and easy to reason about and adjust.