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, and survey responses, to construct powerful journeys sourced directly from the voice of the user. Let these maps guide product decisions and add context to your roadmap.
Aligning the product roadmap with user needs doesn’t have to be a challenge.
Use Journey AI to contextualize product ideas, remove bias from task prioritization, and tie user benefits to OKRs. The model is 100% private, so you don’t have to worry about shared data.
Journey AI is part of TheyDo, the collaborative platform for user-centric journeys. With Journey AI and TheyDo, qualitative research is transformed into insights, such as:
🤕Pains
🏆Gains
💜Needs
🥽Observations
These insights are added to a bespoke journey map created for you by AI. As you add new research, your journeys update automatically. Using your insights, Journey AI automatically reveals opportunities for customer and business impact, taking you from research to prioritization faster than ever. ⚡️
Don’t file away your research; put it to use with Journey AI. Try it out on theydo.com/ai — and let us know what you think!
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 :)
Wow! What an ambitious and interesting product. I'm especially blown away of how easily all insights stick to opportunities created, to get a good overview and not lose insights on the way. You managed to give something very unruly some structure!
I generally agree that the actual work sifting through interviews, synthesising and organising everything is time consuming, though one retro part of me think that process in itself helps me and my team understand and feel more. Do you think there's a risk in automating some of these things too much? An honest and more philosophical question :)
@sabina_sonning thank you!! Yes, it's so cool to see how this solves a complex challenge. On the risk of automation: 100%. We actually spent the last months working closely with researchers, UX and service designers to get as close to mimicking their workflow as possible. But I don't think we should consider removing the mapping process altogether.
It's super valuable to gain an understanding of what you have learned from your customer. That said, not all journeys are created equally. With Journey AI you're main journey can be a map you created, but we're creating the idea that it can have 100s of source journeys (each reflecting a single customer interview) to build up the bigger picture. This is a new, very powerful tool, designers and researchers really love.
Looks awesome, congrats on the launch!
Can imagine working through all these touch points manually and making sense of them is a lot of work. Automation with AI makes a lot of sense here.
Good luck today!
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.
This looks quite impressive! In my initial experimentation, it has uncovered some distinct insights, suggesting it could become a significant time-saving tool.
I can envision that manually managing and deciphering all these touch points would be quite labor-intensive. Automating with AI seems like the logical solution in this scenario.
Wow, this looks pretty impressive! In my initial exploration, it has already uncovered some unique insights. This could definitely become a significant time saver.
TheyDo