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Is the value of your enterprise analytics SAAS or AI product not obvious through it’s UI/UX? Got the data and ML models right...but user adoption of your dashboards and UI isn’t what you hoped it would be? While it is easier than ever to create AI and analytics solutions from a technology perspective, do you find as a founder or product leader that getting users to use and buyers to buy seems harder than it should be? If you lead an internal enterprise data team, have you heard that a ”data product” approach can help—but you’re concerned it’s all hype? My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I share the stories of leaders who are leveraging product and UX design to make SAAS analytics, AI applications, and internal data products indispensable to their customers. After all, you can’t create business value with data if the humans in the loop can’t or won’t use your solutions. Every 2 weeks, I release interviews with experts and impressive people I’ve met who are doing interesting work at the intersection of enterprise software product management, UX design, AI and analytics—work that you need to hear about and from whom I hope you can borrow strategies. I also occasionally record solo episodes on applying UI/UX design strategies to data products—so you and your team can unlock financial value by making your users’ and customers’ lives better. Hashtag: #ExperiencingData. JOIN MY INSIGHTS LIST FOR 1-PAGE EPISODE SUMMARIES, TRANSCRIPTS, AND FREE UX STRATEGY TIPS https://designingforanalytics.com/ed ABOUT THE HOST, BRIAN T. O’NEILL: https://designingforanalytics.com/bio/
Episodes
Tuesday Jan 14, 2020
Tuesday Jan 14, 2020
Joost Zeeuw is a data scientist and product owner at Pacmed, a data-driven healthcare and AI startup in Amsterdam that combines medical expertise and machine learning to create stronger patient outcomes and improve healthcare experiences. He’s also taught a number of different subjects—like physics, chemistry, and mathematics—at Lyceo, an online education service, and Luzac College in the Netherlands.
Join Brian and Joost as they discuss the role of design and user experience within the context of providing personalized medical treatments using AI. Plus:
- The role data has in influencing doctors’ decisions—without making the decisions
- The questions Joost’s product team asks before designing any AI solution at Pacmed
- How people’s familiarity with iPhones and ease-of-use has influenced expectations around simplicity—and the challenges this poses when there is machine learning under the hood
- Why Brian thinks Pacmed’s abnormal approach to design is great—and what that approach looks like
- The simple, non-technical, but critical thing Pacmed did early on to help them define their AI product strategy and avoid going down the wrong path
- An example of an unexpected treatment prediction that Pacmed’s algorithm detected—which ended up being something that a specific field of medicine had been studying with classical research techniques 10,000 km away
- Where Joost believes Western medicine falls short with respect to new drug trials
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Quotes for Today’s Episode
“Pacmed in that has a three-fold mission, which is, first of all, to try to make sure that every single patient gets the treatment that has proven to work for him or her based on prior data analysis. And next to that we say, ‘well, if an algorithm can learn all these awesome insights generated by thousands and thousands of doctors, then a doctor using one of those products is also very capable of learning more and more things from the lessons that are incorporated in this algorithm and this product.’ And finally, healthcare is very expensive. We are trying to maximize the efficiency and the effectiveness of that spend by making sure everybody gets a treatment that has the highest probability of working for him or her.” — Joost
“Offering a data product like this is really another tool in that toolbox that allows the doctor to pierce through this insane amount of complexity that there is in giving care to a patient.” — Joost
“Before designing anything, we ask ourselves this: Does it fit into the workflow of people that already have maybe one of the most demanding jobs in the world?” — Joost
“There’s a very big gap between what is scientifically medically interesting and what’s practical in a healthcare system.” — Joost
“When I talk about design here, I’m talking kind of about capital D design. So product design, user experience, looking at the whole business and the outcomes we’re trying to drive, it’s kind of that larger picture here.” — Brian
“I don’t think this is ‘normal’ for a lot of people coming from the engineering side or from the data science side to be going out and talking to customers, thinking about like how does this person do their job and how does my work fit into you know a bigger picture solution of what this person needs to do all day, and what are the health outcomes we’re going for? That part of this product development process is not about data science, right? It’s about the human factors piece, about how does our solution fit into this world.” — Brian
“I think that the impact of bringing people out into the field—whatever that is, that could be a corporate cubicle somewhere, a hospital, outside in a farm field—usually there’s a really positive thing that happens because I think people are able to connect their work with an actual human being that’s going to potentially use this solution. And when we look at software all day, it’s very easy to disconnect from any sense of human connection with someone else.” — Brian
“If you’re a product owner or even if you’re more on the analytics side, but you’re responsible for delivering decision support, it’s really important to go get a feel for what people are doing all day.” — Brian
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