FinchPulse
AI-powered customer feedback & product intelligence platform
10 followers
AI-powered customer feedback & product intelligence platform
10 followers
FinchPulse helps SaaS teams turn customer feedback into better product decisions. Collect feedback, feature requests, surveys, NPS, roadmaps, and changelogs in one place. AI detects duplicate requests, analyzes sentiment, identifies trends, and surfaces what customers want most—so product teams spend less time organizing feedback and more time building the right features.
How does the AI actually decide when two pieces of feedback are duplicates, especially when customers describe the same pain point in completely different ways?
@yurtas40271 Great question! It's not keyword-based. FinchPulse uses semantic understanding to identify feedback that's expressing the same underlying intent, even when the wording is completely different. We also consider context, sentiment, and related topics before suggesting duplicates. Manual review is still available, and over time we plan to make the AI smarter by learning from user confirmations and corrections.
Curious how the AI handles duplicate detection when two customers word the same request totally differently — does it learn from manual merges over time or is it mostly keyword based out of the box?
@keremkorni1924 Right now, the AI relies primarily on semantic similarity rather than keyword matching, which helps it catch requests that are phrased very differently. User feedback is an important part of our roadmap as well—we're working toward allowing the model to learn from manual merges and corrections so duplicate detection becomes even more accurate over time.
The duplicate detection actually caught requests I would have missed in our Linear board, which was a nice surprise. Sentiment trends feel genuinely useful for weekly planning.
@vedat2028659 That's awesome to hear! 😊 That's exactly the kind of problem we wanted to solve. Duplicate requests often hide in different wording, and manually spotting them doesn't scale. We're also investing heavily in AI insights and sentiment analysis, so you'll see even deeper trend detection and prioritization capabilities in upcoming updates. Thanks for giving it a try!
The duplicate detection actually works well, caught three near-identical feature requests in our backlog I would have missed. Sentiment analysis feels less useful so far but I want to give it more time before judging.
@kayrahyua Really appreciate the honest feedback—that's incredibly valuable. I'm glad duplicate detection is already saving you time. Sentiment analysis is something we're actively improving to make it more actionable, with better context, trend analysis, and clearer recommendations instead of just positive/negative scores. I'd love to hear what would make it more useful for your workflow.
The duplicate detection alone sounds like a lifesaver—no more manually sifting through 50+ tickets saying the same thing. Really thoughtful execution on the AI side here.
@hamitk7s6 Thank you! That was one of our biggest goals. As products grow, teams often spend more time organizing feedback than acting on it. If FinchPulse can remove that manual work and help teams focus on building the right features, we're heading in the right direction. More AI-powered product intelligence is on the way!