Better customer feedback tagging & analytics

Hi everybody!

I was working as a product manager for a B2B SaaS company and we were getting hundreds of customer support tickets every month. I spent several hours every week tagging these tickets with customer problems, but also with potential features we were thinking of launching.

This was extremely frustrating because it took me a bunch of time, was low quality work, and the analytics I got after were average at best (using Airtable or SQL).

So I've been building a tool that helps PMs and founders do a couple of things:

• Manually tag tickets way faster with a combination of shortcuts and AI suggested tags
• Analytics that don't suck eg. segmentation of feedback by user (churn, MRR, sentiment...) and tags
• Search that actually works (if you've tagged 100 tickets with "feature-234" for example, it'll pull up all the conversations and their tags)

I built this for myself, but I was curious if anybody else would be interested in using it?

Thanks for any and all feedback!