Customer Centricity in SAFe – Organizational Agility Learn how customer centricity ties to organizational agility, how organizations are applying the mindset to their organizations, and how to find the customer in Large Solution environments. Click the “Subscribe” button to subscribe to the SAFe Business Agility podcast on Apple Podcasts Subscribe Share: SAFe in the News In this segment, we’ll chat about why focusing on the customer helps leaders and employees find common ground to ultimately improve the way they deliver value to customers. Full article SAFe in the Trenches Luke Hohmann shares a real-world example of how an organization that wasn’t using a customer centricity approach adopted a more customer-centric model, what that journey looked like, and the outcomes.To learn more about customer centricity, visit scaledagileframework.com/customer-centricity Audio CoP The Audio Community of Practice section of the show is where we answer YOUR most frequently asked and submitted questions. If you have a question for us to answer on air, please send it to email@example.com The two questions we answer in this episode are: What kind of metrics should an organization gather to measure its maturity, over time, in customer centricity?How does a supplier to a large automotive manufacturer identify its customer? Hosted by: Melissa Reeve Melissa Reeve is the Vice President of Marketing at Scaled Agile, Inc. In this role, Melissa guides the marketing team, helping people better understand Scaled Agile, the Scaled Agile Framework (SAFe) and its mission. Visit Melissa Reeve’s Bio Hosted by: Luke Hohmann Luke Hohmann is a Principal Consultant and member of the Framework team at Scaled Agile, and the inventor of Innovation Games®. A former Board member of the Agile Alliance and the author of four books with long titles, Luke’s playfully diverse background of life experiences has uniquely prepared him to design and produce people-powered tools that increase Agility. Luke graduated magna cum laude with a B.S.E. in computer engineering and an M.S.E. in computer science and engineering from the University of Michigan. In addition to data structures and artificial intelligence, he studied cognitive psychology and organizational behavior. In his spare time, Luke likes spending time with his four kids, barbecuing for friends, and his wife’s cooking. He also enjoys long runs in the Santa Cruz mountains to burn off his wife’s cooking and work on his Dreamlog.