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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 Feb 11, 2020
Tuesday Feb 11, 2020
Nancy Duarte is a communication expert and the leader of the largest design firm in Silicon Valley, Duarte, Inc. She has more than 30 years of experience working with global companies and counts eight of the top ten Fortune 500 brands in her clientele. She is the author of six books, and her work as appeared in Fortune, Time Magazine, Forbes, Wired, Wall Street Journal, New York Times, Los Angeles Times, Cosmopolitan Magazine, and CNN.
In this episode, Nancy and I discussed some of the reasons analytics and data experts fail to effectively communicate the insights and value around data. She drew from her key findings in her work as a communication expert that she details in her new book, Data Story, and the importance of communicating data through the natural structure of storytelling.
In our chat, we covered:
- How empathy is tied to effective communication.
- Biases that cloud our own understanding of our communication skills
- How to communicate an enormous amount of data effectively and engagingly
- What’s wrong with sharing traditional presentations as a reading asset and Nancy’s improved replacement for them in the enterprise
- The difference in presenting data in business versus scientific settings
- Why STEAM, not STEM, is relevant to effective communication for data professionals and what happens when creativity and communication aren’t taught
- How the brain reacts differently when it is engaged through a story
Resources and Links:
Quotes from Today’s Episode
“I think the biggest struggle for analysts is they see a lot of data.” —Nancy
“In a business context, the goal is not to do perfect research most of the time. It’s actually to probably help inform someone else’s decision-making.” —Nancy
“Really understand empathy, become a bit of a student of story, and when you start to apply.” these, you’ll see a lot of traction around your ideas.” — Nancy
“We’ve gone so heavily rewarded the analytical mindset that now we can’t back out of that and be dual-modal about being an analytical mindset and then also really having discipline around a creative mindset.” — Nancy
“There’s a bunch of supporting data, but there’s also all this intuition and other stuff that goes into it. And so I think just learning to accept the ambiguity as part of that human experience, even in business.” — Brian
“If your software application doesn’t produce meaningful decision support, then you didn’t do anything. The data is just sitting there and it’s not actually activating.” — Brian
“People can’t draw a direct line from what art class or band does for you, and it’s the first thing that gets cut. Then we complain on the backend when people are working in professional settings that they can’t talk to us.” — Brian
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