Jo - Meet Jo: The AI agent making user research effortless.

@supa_l Love that you love it - thanks for your support! I hope you do get to try Jo on something you're building and any feedback would be gold.

@kay_arkain Great question! Right now, we explore the site, but we do have some exciting updates coming soon that will enable Jo to get deeper understanding. Testing is one of them.

@kay_arkain Thanks for the question! I'd like to clarify something (if that wasn't clear) - Jo isn't the one giving feedback on the site today. What Jo's doing is using its understanding to conduct interviews with real users and get their feedback and analysis on it. As Prashant said below, we are working on some exciting ways for Jo to actually do a lot more - that's for a future launch :)

All in good vibes @zot :) Would love for you to try it on one of your projects and see if this holds up for you!

@laura_cruickshanks Hi Laura - that's the most useful kind of feedback - thanks for taking the time to try out Jo and note your observations. Happy to find a way to reach out to you and dig into your feedback so I can also evaluate what we may need to rethink/fix based on that?

@maomorales Thanks so much for your support, Mauricio! We're really lucky to have builders like you as early users and your feedback as the product evolved has been critical to making the experience seamless and easy.

@sean_mccarney1 I think we're all members, we just don't know it yet :) Would love for you to try out Jo and see how it helps.

@esqrama Thanks Rama - your early feedback and advice really helped shape the evolution of Jo!

@abid_ali43 Key question. Right now, there are 2 ways to find people to give feedback. You can share the Jo link with people you know/want to get feedback from (many builders do this - for eg share in WA groups). The other way is to just make your Jo link public which lists it on our website and is visible to people interested in giving feedback on products they find interesting.

As for the 'right people' - we're taking a different perspective and focus on 'meaningful feedback'. This is what we hear matters most to users at the early iteration/prototype phase over finding a type of user.

How do we do this today? You control the Objectives of every research study. We use this to inform the interviews Jo conducts. But then, we check every interview to make sure the feedback is able to 'meaningfully' answer your objectives - these are the only ones that you actually see (and are charged credits for).

We are thinking about scenarios where we can enable you to select types of people for feedback, but there is a certain amount of scale we need to get to before we can do that. Hence, the choices we made as an early stage product that we can deliver an amazing experience with.

Hope that was a helpful answer, though a bit long!

@azianmike Yes! And we are all better served as builders for it! Thanks for taking the time to check out Jo and comment.

@replibee Thank you ! Do let us know how it goes.

@aaron_miller9 Hi Aaron, here is a dashboard - https://jo.floto.ai/share/7cb451b1-4bc4-42db-aaa2-5ffa972b44b9. If you create a Jo, we have the option to publicly share a read-only version of the output with your team or collaborators for eg, or as answers to questions like these :)

You can see the objectives, sentiment, insights/feature requests, individual feedback summaries and also the entire conversation transcript at the link above. Hope this is useful, and would love for you to go and create some of your own!

@shenjun You need it - you got it ;-) Free to start and Free to keep using for upto 5 responses every week. Enough to start getting regular feedback on things you are building early stage. Hope you check it out!

@parth_ahir Thanks Parth! We have indeed built this for builders like you - keen to see how you find it. We hope it helps you get feedback you can action on an keep your momentum going.

@shreyans_assistiv Great question. We do go to some lengths to set the contexts and goals for the AI to ensure a professional interview like a researcher. That said, we are just getting started, and there are tons of things that can be improved which we are working on as we speak.

@shreyans_assistiv Great question, Shreyans. Just to add to Prashant's comment - we've spent a lot of time tuning the interviewer to keep the conversation unbiased, relevant and use best practices of user research.

But, what we can't control is the user responses. So we have an additional layer of evaluation post-interview where we have a 'meaningfulness' bar that the interview has to meet. This includes, but is not limited to, actually getting you useful and meaningful feedback for the objectives you have set. These are the only responses that we deliver back to you.

@ivan_l Awesome - please do take it for a spin! We've designed it be super self-serve, and keen to hear any feedback when you do.

@oscar_burgos1 Thanks Oscar - we hope you do :) Here to help as you try it out for any issues, tips ... and to listen to any feedback from you.

@ying_li6 Hi Candy! Sorry missed this comment and didn't reply sooner.

When you create , there is a set of research objectives that you can edit - this is the simple way in which you are able to instruct Jo on what you're looking for when users talk with Jo. Jo will follow your instructions on what to focus on.

As for the second question - you can easily chat with Jo yourself to get a sense for what questions are being asked. Or simpler - check out this dashboard of real user responses - the entire transcripts are available and you can quickly get a sense for what Jo has asked participants - https://jo.floto.ai/share/7cb451b1-4bc4-42db-aaa2-5ffa972b44b9

Hope this helps - and I hope you can try out Jo. It's free and easy!