The Experience Strategy Podcast

Today we are joined by Dr. Paul Zak, professor of economics, psychology, and management His work has been ground breaking in the academic, public, business and healthcare settings. In his new book, Immersion: The Science of the Extraordinary and the Source of Happiness, Paul shares a scientific formula for consistently creating extraordinary experiences. Experience Strategists: You don’t want to miss this episode! It will change the way you create and measure experiences- and help you have infinitely more impact for your customer and company.

Dutta Satadip is the Chief Customer Officer at ActiveCampaign, former Global Head of Customer Operations at Pinterest, and Director of Customer Success for the Americas region at Google. Today he joins us on The Experience Strategy Podcast to share his predictions for the future of digital experience strategies and the role AI should play in customer experience in our roadmaps. Tune in to learn the three phases of data design for CX Understand the customer context Automate based on context Use that to predict your customers’ needs While we won’t get it right for every customer every time, Hear how companies like Amazon, Netflix, and Google use AI-assisted data to be more right more of the time.

Experience strategists are navigating increasingly complex decisions. Customer journeys are increasingly complex, channels are proliferating, expectations continue to rise, and data is abundant. How do we help our companies make the best decisions about how and where to spend money?  Craig Lutz is uniquely well positioned to help us answer this question. Craig has been a data scientist and researcher at Qualtrics since 2007 where he has conducted thousands of conjoint analysis projects with Qualtrics. He is also the designer of Qualtrics' conjoint analysis DIY technology, the author of Exploring Conjoint Analysis and a prominent thought leader on innovative quantitative research methods. We are thrilled to announce that he also recently joined our team at Stone Mantel as Conjoint Advisor! In this episode, Dave and Aransas talk to Craig about how he helps teams like Google, Goldman Sachs, Uber and others make the decisions that really matter for customers, based on powerful analytics and what shifts when companies understand that time really is money. You’ll hear: How Conjoint analysis can be used to get underneath what customers really care about and how it can be used to predict and change behavior How Uber used these tools to design a radical new rider loyalty program How Google: uses Max Diff to predict how customers will spend money How Goldman Sachs used it to inform their employees experience by optimizing their benefit packages - and tailoring them to each individual office in ways that saved money while increasing real and perceived value How conjoint could be a really groundbreaking understanding how and where customers spend their precious time  How Max Diff relates to Clayton Christensen’s  Jobs to Be Done Theory  Check out the Experience Strategy Trend Report for more information on how to bring the power of context to your customer insight portfolio https://www.stonemantel.co/trendsreport  

SHOW NOTES: Today we are revisiting our talk with Roger Beasley about Customer Modes, the mindsets and behaviors that help people get jobs done. We look at what they are and how they work through the lens of the restaurant industry. Tune in to learn how modes thinking has the key to unlock experience strategy and journey work in powerful new ways.   IN THIS EPISODE: ●      [1:35] Introduction to Roger Beasley ●      [3:37] What are modes, jobs, ques, and how do they work together? ●      [8:39] How to connect the brand to the consumer. ●      [12:13] Roger talks about how technology shifted the mode people are in and how the restaurant chains need to shift their focus. ●      [17:50] We discuss the top modes found in restaurant customers and how they relate to the different channels. ●      [21:50] How the rise of virtual brands came about (DoorDash, UberEats, etc.) ●      [28:25] The need to customize your brand with the situation of why people will order. ●      [31:46] The different requirements for different channels/modes, moving away from loyalty programs.   KEY TAKEAWAYS: ●      People no longer order from restaurants because they like that specific restaurant's food; they are ordering based on the mode they are in - productivity, relaxing, etc. ●      With the creation and use of UberEats and DoorDash, the people ordering the food are not the restaurant's customers; they are the customers of third-party brands. So it’s essential to create a new brand to draw customers back to your restaurant.

For many teams, virtual used to be the exception. Now, hybrid is the rule. So, how do leaders of large teams successfully foster accountability and engagement? To answer this question, we talked to Justin Jackson, SVP Product Management and Head of Enterprise Payments, Fiserv. Justin leads a large, dispersed cross-functional team with different goals and needs. To unify and engage them, here’s what he focuses on: Interdependent goals with mutual accountability Measuring success based on the customer’s why Doubling down on customer needs in the end-to-end journey across platforms Employing a win/learn mindset instead of a win/lose mindset  

If you’re aspiring to satisfy your customers, then you’re aspiring to mediocrity. That’s the premise of From Impressed to Obsessed, and new book by Jon Picoult. Jon explains why building customer loyalty requires leaving indelible positive impressions on everyone you work with – not just shaping their experiences, but also shaping their memories. The book explores the cognitive science behind great customer experiences, pinpointing the breakthrough, psychology-based strategies that both industry leaders (like Apple, Disney, Ritz Carlton, Nordstrom, and Southwest Airlines) as well as fast-growing startups (like BILT and Framebridge) use to shape people’s perceptions and sculpt unforgettable impressions – thereby turning more sales prospects into customers, and more customers into obsessed brand ambassadors. In this interview we explore case studies, engaging stories, and eye-opening research, to illustrate how they can be applied to almost any type of business. No matter what kind of constituency you serve – customers or colleagues, individuals or institutions, employees or employment candidates – this conversation will help you do it with distinction.  You’ll hear how the Peak/End rule and our recency bias influence memory, and how creating more effortless, emotionally resonant, and relevant experiences can increase customer referral and retention.  

Today we're sitting down with the Director of Retail CX at Clayton Homes, Michael Stanton.  Clayton Homes is a Berkshire Hathaway Company that provides more homes to families than any other housing company in America. Michael's noticed, like many other experience strategists, that our inner circles are shifting. In addition to families, Clayton now sells more homes to friends, siblings, and others, who are redefining the buying experience. The questions Clayton Homes is asking are questions we should all be asking. Here are a few you might want to consider: Who is in my customer’s inner circle? How is that inner circle going to participate in the buying process and the use of the product? How can we support our customers in making values-based and aspirational decisions?  How do we effectively digitize the decision-making process?      

John Doll, from the Enterprise Design team at Edward Jones, had a very rough day recently. His rental car was broken into. What ensued was one of the highest drama CX stories we’ve heard in a while. Grab a hot cup of tea and listen to this dishy story of processes failed, jobs not done, and opportunities missed. Yes, this is a story of customer disservice, but it’s also one of employee disservice, and most importantly, it’s one we can all learn from.

On this very special episode of The Experience Strategy Podcast, Dave Norton and Aransas Savas are getting meta as they are joined by the producer of this podcast and the Founder and CEO of Produce Your Podcast, Traci DeForge. Traci is a pioneer in the world of podcasting and has created a thriving business in helping companies translate their services into audio formats that grow their brands. The industry is changing, though, and her clients' needs are evolving, so in this conversation, we help her identify powerful new ways to serve her clients, boost the value of the time they- and their audiences - spend together, and even find a creative new way to use existing processes to deepen customer insight as her business and the category grows.  Three impactful questions every business owner, or experience strategist, can ask to learn how to better serve their customers: Did we succeed at the job the customer wanted to be done? Was the customer engaged in the experience? Did the customer feel like the experience was a good value for their time?   If you are ready to have more impact on your customer and your business, please listen to this episode!  

Experience strategists are navigating increasingly complex decisions. Customer journeys are increasingly complex, channels are proliferating, expectations continue to rise, and data is abundant. How do we help our companies make the best decisions about how and where to spend money?  Craig Lutz is uniquely well positioned to help us answer this question. Craig has been a data scientist and researcher at Qualtrics since 2007 where he has conducted thousands of conjoint analysis projects with Qualtrics. He is also the designer of Qualtrics' conjoint analysis DIY technology, the author of Exploring Conjoint Analysis and a prominent thought leader on innovative quantitative research methods. We are thrilled to announce that he also recently joined our team at Stone Mantel as Conjoint Advisor! In this episode, Dave and Aransas talk to Craig about how he helps teams like Google, Goldman Sachs, Uber and others make the decisions that really matter for customers, based on powerful analytics and what shifts when companies understand that time really is money. You’ll hear: How Conjoint analysis can be used to get underneath what customers really care about and how it can be used to predict and change behavior How Uber used these tools to design a radical new rider loyalty program How Google: uses Max Diff to predict how customers will spend money How Goldman Sachs used it to inform their employees experience by optimizing their benefit packages - and tailoring them to each individual office in ways that saved money while increasing real and perceived value How conjoint could be a really groundbreaking understanding how and where customers spend their precious time  How Max Diff relates to Clayton Christensen’s  Jobs to Be Done Theory  Check out the Experience Strategy Trend Report for more information on how to bring the power of context to your customer insight portfolio https://www.stonemantel.co/trendsreport   BIO: Craig Lutz has been a data scientist and researcher at Qualtrics since 2007.  He has been a frequent presenter at conferences on the subject of quantitative research methods and has conducted thousands of conjoint analysis projects Qualtrics/ customer over his time there.  He also designed and developed Qualtrics' conjoint analysis DIY technology. Craig graduated from BYU with a degree in Actuarial Science with a minor in Mathematics.  Craig and his wife Karrie have 5 kids and reside in Orem, Utah.