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Olvy 2.0 — Analyze user feedback 10x faster with AI
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 🪄
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The long-awaited moment has arrived! 🚀 Empowering your user feedback has never been more effortless
Super excited to finally see everyone try Olvy and build their feedback ecosystem. 🚀
Hey Product Hunt 👋,
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 🫰🏻
Olvy is built to help product teams manage the complete feedback loop; here’s everything that you can do:
1️⃣ 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.
2️⃣ 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? It’s impossible to do manually, but what if you can do that directly in one single dashboard? That’s exactly what Olvy can help you with.
3️⃣ Keep your dev team in loop: It’s 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. Isn’t it cool?
👑 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.
5️⃣ 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 there’s an in-app notification widget too?
Join us in shaping the future of product management, we’re just getting started!
-Arnob
@iamarnob6543 Olvy is a must-have for any product team looking to optimize their feedback management process. Congrats, Arnob. 🎉
@victoria_wu For sure, it has been a year crafting this product ❤️ kudos to the team, and thanks a lot for your support 🙌
@iamarnob6543 epic arnob, the product has come so far! I hope to get some time to check it out, there is sooo much new stuf to try!!
@sentry_co Hi Andre,
Once feedback starts flowing into your Olvy workspace, it's run through sentiment analysis, keyword extraction, and tagged based on its type.
This makes a bunch of qualitative metadata available to you which you can use to get to your own insights. For example, the Olvy AI Copilot can help you answer questions like,
"Which features are getting the most bug reports?"
"What are the top feature requests?"
"What is overview of everything my users are asking for?"
...
and a lot more
The AI Copilot helps you summarize everything, and it also integrates with your CRM so you have a sense of what impact will resolving a feedback have on your revenue.
I'd highly recommend, signing up and uploading any CSV or Excel file you have with some of your user feedback to see the platform in action. Happy to answer any questions.
@nshntarora We only have Google analytics user patterns so far. And some from Crisp chat. But user feedback is usually mostly feature requests etc. I think the goldmine is to analyse observable google analytics data. But I have not found anything that does this yet.
@sentry_co That's sounds like a good idea, would love to get more of your thoughts on this.
What question do you find yourself asking? and maybe what would an ideal solution to that question look like for you?.
@nshntarora The data is there. We just have to interpret it. With observable telemetries you can almost read peoples thoughts. But there are no tools to sort and make sense of the data at scale. Not that I am aware of. now with AI. Someone should be able to do it.
Congrats on the launch team Olvy! Love the launch video too - it gets you into the groove 😎.
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 ❓
@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 launching! 🚀 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 👏
@mrcalexandre Thankyou Alexandre! 💯 Building a continuous user feedback loop is super valuable
@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.
This sound like a cool tool, I'll talk with our team, so we will use it. Thank you for sharing
@orysia_khimiak That would be amazing, do leave us a feedback in case you choose to use Olvy 🙌
Congratulations to Arnob and the Olvy team on the impressive growth and the new version of Olvy! Loving it! Keep up the great work!
@mddanishyusuf Thank you so much, for all your support since the beginning, super grateful ❤️
Super slick. I love how easily you can mark messages in Discord as feedback and send it to Olvy, and even track individual users' feedback over time.
@davidvkimball Glad to see you are loving Olvy 🙌
Thanks for the support here, also do let us know if you have any feedback for us, because we are always listening 🙌
@pirahmed Thank you so much, would love you to try our product out.
And let us know if you have any feedback 🙌
Loving the latest launch. One of the best uses of AI is around reasoning on aggregated data from various silos, Olvy 2.0 takes it to the next level!
?makers, one question, how do you think this helps a small product team that might not have a lot of feedback coming in yet from their users?
@nk_kapur Hey Nikhil,
Thank you for your comments 🙌
Yes, we have been working with many small startups who may not receive a lot of feedback, but they have been conducting experiments with their beta or early users.
In the early stages, we have observed two sources from which they obtain feedback:
1. They frequently engage in calls with potential users or current users to gather early feedback.
2. They receive a significant amount of feedback within the product itself or via support channels.
Therefore, for both of these use cases, we provide integrations to assist them in collecting feedback from calls. Additionally, we offer feedback widgets that can be installed inside the product in less than 30 seconds.
Here is the link to our feedback widget product.
https://olvy.co/feedback-widget
Using Olvy for the changelog from the initial launch and release announcement helped us in informing our customers about the product releases.
I'm excited to try out their product feedback feature soon.
Congratulations to the team for creating such a fantastic product.
@velusamy_subramaniam
Thank you for joining the discussion, and glad to see you here.
I would love to hear your thoughts on our Feedback Management product.
Also would love to give you a personalized demo, let me know if you would be interested 🙌
PMFLIX