Your feedback is everywhere — Slack threads, Intercom support tickets, review sites, DMs. ProductBridge's AI agent collects it all automatically, organizes it, deduplicates, and helps your team ship what users actually want. Users request features, upvote, and watch ideas move through your public roadmap. Teams prioritize with data, publish changelogs, and auto-notify users when their feature ships. One platform. Complete feedback loop. Flat pricing. No seat fees. No surprises. Ever.
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Timelaps
Hey Hareesh, congrats on the launch! Interesting tool solving a real problem.
Question: Feedback online is highly skewed and biased (as it takes particular types of personas to post, with no proper way to 'control' via experimental design). Is a product roadmap built on online feedback the best path forward for builders?
ProductBridge
@harryzhangs Thanks for the support! and honestly, it's a fair challenge!
ProductBridge helps in two ways: user tagging with MRR and revenue data means you weigh who's asking, not just how many. And pulling from multiple channels — tickets, Slack, emails — broadens the signal beyond just the people who bother to post.
Cadence
This is a very interesting idea. In our business, we receive a lot of feedback from multiple channels that never really gets processed as data as such, so this idea could actually be relevant, but I have a couple of doubts that came to mind:
The actionable insights sound great, but how does the app process contradictory feedback from clients to decide which side to lean to? Is there a process of prioritizing certain types of feedback over others? It would be super interesting to get a bit more info about this.
Anyways, congratulations for the launch!
ProductBridge
@carlos_alfredo_davila_aguilar Thank you! Really glad it resonates.
On contradictory feedback: ProductBridge doesn't pick a side automatically. Instead it shows you the full picture — how many people said what, and who they are. That context is what helps you make the call.
On prioritization: it's not just vote counts. You can tag users with properties like MRR or plan type. So if 10 free users want one thing and 3 paying customers want the opposite, you can see that clearly and decide what actually matters for your business.
The goal is to give you better information. 🙌
Cadence
@hareesh_vemasani Thanks for your reply Hareesh! This actually clarifies my doubt.
ProductBridge
@artsci00 Thank you! Great questions.
Teams can directly chat with users on the feedback post itself. The user gets notified via email, so the conversation actually happens. You can dig deeper, ask follow-up questions, or invite them for a user interview — all in context of the feedback they submitted.
And once a feature is built, you can reach back out on the same thread, let them know it's ready, and invite them to try it out. The whole conversation lives in one place from request to resolution.
timing is everything with this. built something myself and the biggest mistake was collecting feedback too late. question: does it consolidate across app store reviews too or mainly social/community platforms
ProductBridge
@renkethye 100% — feedback collected too late is almost as bad as no feedback at all.
App store reviews — great timing on the question! We support Slack, Intercom, support tickets and more right now. App store integration is coming in the next couple of weeks. It's high on our list and almost there.
Stay tuned — and thanks for the kind words! 🚀
ProductBridge
Hi @renkethye, Automatic feedback collection and monitoring from Appstore is live now. It also aggregates the feedback from channels like Intercom, Slack, Zendesk, Freshdesk, Trustpilot, Playstore, Appstore and 20 more. Give it a try!
How does the deduplication work when users describe the same issue in completely different words? Congrats on the launch!
ProductBridge
@borrellr_ Thanks! 🙌
Our dedup works at the intent level, not keywords. We use advanced RAG + LLM, so "the app is slow" and "keeps timing out" get grouped correctly even though they share zero common words.
The AI also has full context — your existing feedback, roadmap, and changelog — so it's matching against everything, not just other incoming posts. And nothing merges without your review. 🚀
Interesting idea. But if I need to collect public reviews about a third-party company, for example from the App Store, is that something your app can do?
ProductBridge
Hey@mykyta_semenov_, We just shipped automatic collection for Playstore, Appstore, Trustpilot and more. Once you connect these sources, ProductBridge AI agent monitors those channels for new reviews and if there is any feedback detected, it'll add that to Feedback boards.
Give it a try!
This is something I've genuinely needed. Right now we have Slack threads, Intercom tickets, and the occasional G2 review all pointing to the same underlying feature request, and our PM has to manually piece it together every sprint. The deduplication piece is the most interesting part to me. Honestly want to see how it handles the same complaint phrased completely differently across channels.
ProductBridge
Hi @subash_mohan, A fully upgraded version for collecting feedback from different sources as well as prioritization feature is live.
Once you connect the channels like Intercom, Zendesk, Trustpilot, Appstore, Playstore etc, AI automatically monitors these channels and pulls the feedback if there is any to feedback boards. From there, you can prioritize and assign the feedback items to the team, create roadmaps, and automatically communicate with the user who raised this feedback. Once shipped, users will be auto-notified about their feedback.
Please give it a try!