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If you’re a leader tasked with generating business and org. value through ML/AI and analytics, you’ve probably struggled with low user adoption. Making the tech gets easier, but getting users to use, and buyers to buy, remains difficult—but you’ve heard a ”data product” approach can help. Can it? My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I offer you a consulting designer’s perspective on why creating ML and analytics outputs isn’t enough to create business and UX outcomes. How can UX design and product management help you create innovative ML/AI and analytical data products? What exactly are data products—and how can data product management help you increase user adoption of ML/analytics—so that stakeholders can finally see the business value of your data? Every 2 weeks, I answer these questions via solo episodes and interviews with innovative chief data officers, data product management leaders, and top UX professionals. Hashtag: #ExperiencingData. PODCAST HOMEPAGE: Get 1-page summaries, text transcripts, and join my Insights mailing list: https://designingforanalytics.com/ed ABOUT THE HOST, BRIAN T. O’NEILL: https://designingforanalytics.com/bio/
Episodes
Tuesday Dec 04, 2018
Tuesday Dec 04, 2018
Julie Yoo is the co-founder of Kyruus, a medical technology company that is the developer of ProviderMatch. One of the most frustrating things about the healthcare system is the tendency for patients to be sent to the wrong type of doctor for their health issue. The industry term for this problem is patient access paradox.
ProviderMatch is software that directs patients to the proper medical specialist for their specific needs.
During today’s episode, Julie and I discuss the components that make ProviderMatch an effective tool. Some of the topics we touch on are:
- How ProviderMatch has changed the customer service side of healthcare.
- How ProviderMatch helps combat physician burnout.
- The 3 major user bases served by the application.
- The 3 types of tests Kyruus uses to test new and upgraded product features.
- The 3 levels of analytics that Kyruus uses to measure RIO and value.
Resources and Links:
- Kyruus
- Kyruus on Facebook
- Kyruus on LinkedIn
- Kyruus on Twitter
- Julie Yoo on Twitter
- Julie Yoo on LinkedIn
Thank you for joining us for today’s episode of Experiencing Data. Keep coming back for more episodes with great conversations about the world through the lens of analytics and design.
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