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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 Oct 19, 2021
Tuesday Oct 19, 2021
Why do we need or care about design in the work of data science? Jesús Templado, Managing Director at Bedrock, is here to tell us about how Bedrock executes their mantra, “data by design.”
Bedrock has found ways to bring to their clients a design-driven, human-centered approach by utilizing a “hybrid model” to synthesize technical possibilities with human needs. In this episode, we explore Bedrock’s vision for how to achieve this synthesis as part of the firm’s DNA, and how Bedrock adopted their vision to make data more approachable with the client being central to their design efforts. Jesús also discusses a time when he championed making “data by design” a successful strategy with a large chain of hotels, and he offers insight on how making clients feel validated and heard plays a part.
In our chat, we also covered:
- “Data by design” and how Bedrock implements this design-driven approach. (00:43)
- Bedrock’s vision for how they support their clients and why design has always been part of their DNA. (08:53)
- Jesús shares a time when he successfully implemented a design process for a large chain of hotels, and some of the challenges that came with that approach. (14:47)
- The importance of making clients feel heard by dedicating time to research and UX and how the team navigates conversations about risk with customers. (24:12)
- More on the client experience and how Bedrock covers a large spectrum of areas to ensure that they deliver a product that makes sense for the customer. (33:01)
- Jesús’ opinion on why companies should consider change management when building products and systems - and a look at the Data Stand-Up podcast (35:42)
Quotes from Today’s Episode
“Many people in corporations don’t have the technical background to understand the possibilities when it comes to analyzing or using data. So, bringing a design-based framework, such as design thinking, is really important for all of the work that we do for our clients.” - Jesús Templado (2:33)
“We’ve mentioned “data by design” before as our mantra; we very much prefer building long-lasting relationships based on [understanding] our clients' business and their strategic goals. We then design and ideate an implementation roadmap with them and then based on that, we tackle different periods for building different models. But we build the models because we understand what’s going to bring us an outcome for the business—not because the business brings us in to deliver only a model for the sake of predicting what the weather is going to be in two weeks.”- Jesús Templado (14:07)
“I think as consultants and people in service, it’s always nice to make friends. And, I like when I can call a client a friend, but I feel like I’m really here to help them deliver a better future state [...] And the road may be bumpy, especially if design is a new thing. And it is often new; in the context of data science and analytics projects.”- Brian T. O’Neill (@rhythmspice) (26:49)
“When we do data science [...] that’s a means to an end. We do believe it’s important that the client understands the reasoning behind everything that we do and build, but at the end of the day, it’s about understanding that business problem, understanding the challenge that the company is facing, knowing what the expected outcome is, and knowing how you will deliver or predict that outcome to be used for something meaningful and relevant for the business.”- Jesús Templado (33:06)
“The appetite for innovation is high, but a lot of the companies that want to do it are more concerned about risk. Risk and innovation are at opposite ends of the spectrum. And so, if you want to be innovative, by definition—you’re signing up for failure on the way to success. [...] It’s about embracing an iterative process, it’s about getting feedback along the way, it’s about knowing that we don’t know everything, and we’re signing up for that ambiguity along the way to something better.”- Brian T. O’Neill (@rhythmspice) (38:20)
Links Referenced
- Bedrock: https://bedrockdbd.com
- Data Stand-Up podcast: https://bedrockdbd.com/podcast/
- LinkedIn: https://www.linkedin.com/in/Jesústg/
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