How do you handle customer feedback? Have you considered using AI to filter out feedback?
I'm curious to know how you are handling feedback to build your product roadmap. Especially how do you filter out relevant feedback?
For QApop, I was using feedbear to let user votes for features they were interested in. That was far from perfect as there was often duplicated feature request.
With the explosion of AI tools, I wonder if anybody has experience leveraging them to prioritize user feedback.
PS: I'm hunting a tool on the topic on Product hunt today
We categorize feedback: Every piece of feedback we receive is categorized into buckets like "Bug", "Feature Request", "UI/UX Issue", etc. This helps us to understand the broad areas where our customers are facing issues or want improvements.
You are doing the tagging manually, isn't it? At which frequency do you do this tagging? Do you check for duplicates at the same time?
we don't have much feedback with my current project, it's quite new and we just got first 100 users.
on my previous project (signnow.com) we have Jira tickets from support team. they would create a ticket and add story points to it if there were similar requests. once it had more that ~50 requests, they forwarded it to my product team.