We have recently switched from a competitor developer analytics tool to Waydev and are super happy and impressed by its quality. In general, we see 4 big arguments for Waydev: 1.) The content they provide via mail and blog is great. I was reading it already for a long time before deciding to go with Waydev, and it was also the main reason why I decided to give it a try. 2.) They provide more KPIs than its competitors and seem to be the leading platform in this regard / have the highest product development speed. Here, I was rather disappointed by our previous tool, which seemed to be stuck for ~2 years after it got acquired by a bigger company. 3.) I just learnt after using Waydev how valuable it is to connect your CI pipeline to your KPIs. The combination of Git-hosting provider (Gitlab / Github), Jira / ticketing system and CI pipeline is really awesome and gives you the possibility to track your DORA metrics (if you don't know what it is, check Waydev's blog). 4.) Last but certainly not least, Waydev has outstanding customer support with super fast response times. But not only do they respond fast (and even the Head of Customer Success is reaching out), they also act fast. I had a few questions during my onboarding, and they were even able to speed up the connection of my repositories to make the onboarding smoother.

- Easy to integrate Bitbucket repositories and Jira projects together. - Full visibility across all the development workflow. - Metrics breakdown across different teams. - Custom reports are easy to share with executive teams and project stakeholders.

I've only dug into the repository analysis so far, but what I've seen that appdev helps you look at the data from multiple different angles. For example, the New work, refactor, help and churn categories are brilliant. That helps you understand the different team members' ways of working, and is one of many data points that you get from appdev, to discuss on team retrospectives. I can only imagine what you get on the Pull Requests, Storyboard statistics data, looking forward to digging more into those areas.