Suggested by 
Jeremy Burton
over 2 years ago
Understanding early-stage product data is like reading tea leaves.
Most founders struggle to understand if the data is right, what it's measuring, and what it's actually telling them. This slows down iteration and finding product market fit.
Few founders are able to self-serve data so they rely on a tech lead to instrument and someone else to build dashboards in Mixpanel, Databox, etc.
Whenever the data is reviewed, almost every time there is debate and confusion over whether the data is right, what it is actually measuring, what it's saying, and what it means.
On a daily basis, I observe founders struggling with dashboards and/or burning hours watching Hotjar recordings of user sessions, trying to work out what's happening.
Also, in the early stages, the product is changing quickly and the dashboards and the understanding of what they are measuring always struggles to keep up with the product.
The maturity of ML/AI presents an opportunity to take a lot of the load of humans to identify UX issues.
The first wave of product metrics tools are pretty mature and I think we've seen the limit of how far they can take people.
Existing Company
Are you interested in addressing this Unmet Need?
Are you interested in addressing this Unmet Need?
3X founder with 2 exits
The team that is closest in terms of their use of AI and GTM seems to be Narrative. They chose to focus on sales & marketing tools/data first, but are planning to eventually get to the UX side (I've corresponded with their co-founder&CTO, timing of this is unclear). They were founded in 2020 from within Founders.ai and raised $1.4MM from 8 investors led by Founders.ai. It's a remote international team.
Here is their demo that could be used for brainstorming what Tealeaves MVP could be. They get you to connect all your tools, select primary/secondary metrics to track and generate narratives, alerts and reports with AI suggestions for all unusual items.
Their GTM has been trying to reach out to influencers who work in Growth profession and get them to recommend the tool, and insert themselves in conversations on channels where product&growth professionals read/post.
Design Lead @ Platform Venture Studio
A good article about UX benchmarking / user intent: https://uxdesign.cc/analytics-are-leaving-out-user-intent-ux-benchmarking-can-help-81d972dfabdb
Builder of Beautiful Things
I can see how identifying UX problems is very very hard for non-designers in the very same way that non-engineers would have an incredibly hard time troubleshooting when an app crashes. But for some reason UX (and other design disciplines) becomes subjective and communal, an age-old problem. That's why smart successful companies (should) trust and listen to their ux designers the way they do with their engineers, accountants, data scientist, you get the point.
As a UX designer, AI is extremely helpful when we want to optimize experiences, improve the experience, because that part is very time consuming. Gathering evidence and analyzing it and synthesizing it and inferring and comparing is time consuming, including the time it takes to capture statistically significant data. If AI helped me with some of that, amazing 🔥!
Visualizations and modeling would be some great outputs of this type of an AI solution.
I think it's wonderful when founders watch usability recordings because they want to build empathy with their users. However, it is the observations and conclusions made by an actual UX professional that I value above all.