Once the parameters are set, and Zoe has learned the structure, constraints, and nuances of your data, it’s most effective for quick, ad hoc analysis with solid CSV, chart, or commentary output. Then, when you move on to building dashboards, Zoe becomes even more effective: you can query the data and ask for deeper, more specific analysis based on what you’re seeing in those established dashboards. Overall, this helps move everyone toward self-serve, efficient insight. Review collected by and hosted on G2.com.
This is less a dislike and more an obvious point: for Zoe to be effective, she either needs access to a well-structured, clean database, or you need to put the time in to train Zoe to work properly with your data. When that isn’t in place, you can end up getting stuck in loops. One other small thing is that you need to specify the output format; otherwise Zoe will default to what she uses—HTML—which isn’t always what you need. Review collected by and hosted on G2.com.
Thank you for sharing your feedback. We understand the importance of having a well-structured database for Zoe to be effective. We appreciate your input on the output format and will take that into consideration for future improvements.
