Journey AI analyzes your raw customer research and maps it for you in minutes—fast forwarding the weeks-long journey mapping process and making it easy to gain context from vast amounts of customer research without fear of information gaps or bias.
Map user research into journeys in minutes
Journey AI analyzes your raw customer research and maps it for you in minutes—fast forwarding the weeks-long journey mapping process and making it easy to gain context from vast amounts of customer research without fear of information gaps or bias.
Hi there, Your user research doesn’t belong in a dusty knowledge base. Journey AI helps you make sense of tons of qualitative user data, quickly, within the context of user journeys. I know so many folks in this community who can benefit from it, which is why I’m so excited for this launch. 🎉 Within just a few hours of using Journey AI in TheyDo, you can have an entire ecosystem of journeys to inform better decision-making. Journey AI parses user insights, such as interviews, support tickets, an
Ah this looks pretty cool -- in some prelim playing around it has unearthed a few unique insights, so this has the potential to be a huge time saver. Finally -- useful AI :)
This is so cool - I pride myself on how robust my teams experience maps are but this product automates most of it and produces some insights that I haven't seen in an experience map before. Going straight from user and stakeholder interviews to visualized data is intriguing.. I wonder if an integration with AI note takers like Supernormal 1.0 would be practical? Definitely going to give this a shot for my next research and strategy project.
Congratulations on the launch @jochemvanderveer 🙌 I gotta say, I love the landing page of your product! Kudos to whoever designed it.
Going to give this a try, team Journey AI. Looks interesting.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.