Do you also spend hours organizing and analyzing feedback?
There's a better way. Olvy integrates with your Slack, Zendesk, Intercom, Hubspot, and everywhere your users are to bring all your user feedback in one place and analyze it all using AI πͺ
Hey Product Hunt π,
We are super excited to showcase Olvy on ProductHunt today!
Multiple brainstorming sessions, hundreds of Figma designs, and thousands of lines of code, all to help you collect, analyze and reply to user feedback in snap π«°π»
Olvy is built to help product teams manage the complete feedback loop; hereβs everything that you can do:
1οΈβ£ Collect user feedback: Need a feedback widget? Or do you need a tool to listen to user feedback on your Slack/Discord community? No matter where the feedback is, Olvy is there to collect it.
2οΈβ£ Reply to user feedback: Are your users finding out their issue was fixed through your tweets or newsletters? Why not reply to them right where the feedback came from, like directly on Slack? Itβs impossible to do manually, but what if you can do that directly in one single dashboard? Thatβs exactly what Olvy can help you with.
3οΈβ£ Keep your dev team in loop: Itβs essential to pass the complete context of user feedback which includes feature requests or bugs to your development team. Olvy lets you pass the complete context on what the users said and also creates issues directly into your issue tracker. Isnβt it cool?
π Analyze user feedback with AI: It can be hard analyzing hundreds, if not thousands, of user feedback at once. Olvy ingests all your user feedback, runs it through our AI and lets you know what users are talking about in simple, easy-to-read pointers.
5οΈβ£ Announce changes: Fixed a bug or shipped a new feature? It's time to notify users, Olvy lets you directly notify the user at the source and also publish your changelog that can be read by everyone. Also, did I mention it can be multilingual, and thereβs an in-app notification widget too?
Join us in shaping the future of product management, weβre just getting started!
-Arnob
Congrats on launching! π Super valuable for making user feedback actionable and improving your product! By the way I love the design of the launch page and Olvy AI page π
Congrats on the launch team Olvy! Love the launch video too - it gets you into the groove π.
The product looks great. I can tell a lot of work went into this.
It seems Olvy automatically categorises user feedback. But what if the AI gets it wrong? Do users have the ability to override the decisions from the AI in this case?
Last question - What's the next step for Olvy β
@ed_forson Hi Eddie, Thankyou.
The AI is only on the frontline to save people time. It rarely gets things wrong, but if it does you can override any AI decision in the product.
We've a lot planned in the coming months, but all of it at the core is about helping people listen to their users better so they can build better products.
Congrats on the launch! π I like that this allows you to respond to feedback as much as you receive. It turns the entire thing into a conversation rather than a simple channel where you send one-sided messages.
So glad to see you live on Product Hunt. Really cool to see how you're taking advantage of AI to leverage the power of customer feedback π
Is it a proprietary model or did you use an existing open-source LLM?
@ant0ine_gt Thankyou Antoine! We have a mix of off-the-shelf foundational models, and our own fine-tuned ones which are built for the feedback use-case.
@davidvkimball Glad to see you are loving Olvy π
Thanks for the support here, also do let us know if you have any feedback for us, because we are always listening π
@nilay1101 Hey thanks for sharing SentiSum. It looks amazing, there's a lot of similarity with what we are building at Olvy.
I think the stand out feature would be 1:1 closing the loop with your users.
Congrats on the Launch Arnob! π Feedback is very important, especially for early stage startups, to find out where and how the product is positioned. This seems to be helpful!
Congratulations on the launch ?makers Love how the team is using AI for feedback summarization and translation. Also feedback to engineering tickets isπ‘And awesome video as always @iamarnob6543 π
This is amazing. And the website is one of the best I've seen in much time! I'm wondering, is there an in-app chat? Or does it automate emails? We don't like using private chats for feedback...
@alvarovillalb_ Hi Alvaro, we don't have an in-app chat but connect with your existing in-app chat tool and help to collect feedback from there without any effort. You can setup automations on email, and you also get a feedback page.
Olvy