Olvy 2.0 - Analyze user feedback 10x faster with AI

@vladislav_pavlenko 💯 listening to users shouldn't take months for a survey and weeks for analysis - it has to be magic 🪄

@suyash_chaudhari Thanks a lot for the comment, Suyash. Let us know once you try it out 🙌

@iamarnob6543 @suyash_chaudhari thank you so much Suyash 🙌 Would love to know your opinions once you try it out 🚀

@phalgun_g Thank you so much for the appreciation, and thanks for the early feedback ❤️

@phalgun_g so glad to hear this, thank you so much ❤️

@phalgun_g glad you liked it.

@shaaay Thankyou Shay 🎉

@mrcalexandre Thankyou Alexandre! 💯 Building a continuous user feedback loop is super valuable

@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.

@iamarnob6543 @vikrambhandari @achalesh_lakhotiya Thankyou Achalesh 😊

@kavilrawat Thankyou Kavil

@aditya_mohanty Thankyou Aditya! 🔥

@aditya_mohanty thank you so much Aditya 🙌

@manisha_rav Hi Manisha! Thankyou - Would love to hear your feedback when you give it a try.