TRACK Workshop: Lean Startup in Large Organizations

Event Type

Conducting Business Experiments, Process Mapping and Design, Tools and Techniques, Customer Insight

Lean Startup is a system of practices that can be used for creating new businesses from scratch. The practices can be used in large organizations as well as in startups. Every new venture, whether a startup or an internal venture, begins under conditions of extreme uncertainty. Lean Startup practices can be used to progressively reduce uncertainty through a series of well-designed business experiments. This course is organized in two parts. The first part gives a practical overview of the seven principles of Lean Startup, including examples of the principles in use.

The second part of the course discusses adaptations to make these practices work in large organizations and in companies that produce physical products. The course will feature practical illustrations based on the real-world experiences of the instructor. It will include hands-on break-out sessions that will give participants confidence in applying these concepts.

Upon completion, participants will be able to assess the value of Lean Startup for their organizations and to leverage specific principles immediately.


Part I:

  • Lean Startup Principles in Practice
  • Lean Learning Loops
  • Minimum Viable Products
  • The Pivot or Persist Decision
  • Innovation Accounting
  • The Value Hypothesis
  • The Business Hypothesis
  • The Growth Hypothesis

Part II:

  • What’s Different in Large Organizations
  • Containing the Chaos
  • Working with the Performance Engine
  • Achieving Strategic Alignment
  • Introducing a New Business Model
  • Organizing for Growth
  • Making the Bet to Win

Who should attend: Those interested in new business innovation and business model innovation.

Registration Fees:

IRI Members: $295
Non Members: $395 

Due to limited seating, we request that you cancel at least 48 hours before a scheduled class. This gives us the opportunity to fill the class. However, if you do not cancel prior to the 48 hours, you will lose the payment for the class.

All IRI events are broadcast in Eastern Standard Time

Jiim Euchner

Jim Euchner


Outside Insight Consulting, LLC

Jim Euchner is Visiting Professor at Aston Business School (UK) and Editor in Chief of Research-Technology Management, a peer-reviewed journal for practitioners of innovation, technology and research management. He was previously Vice President of Global Innovation at Goodyear Tire & Rubber Company, where he led the development of new businesses and helped launch four businesses on three continents.  Prior to his work at Goodyear, Jim held positions as Vice President of Growth Strategy and Innovation at Pitney Bowes, Inc. and Vice President, Network Systems Advanced Technology at Bell Atlantic (now Verizon).     Jim has worked in the field of intelligent systems for over 25 years. In his consulting practice, he helps companies to implement businesses enabled by emerging technologies, including AI, the Internet of Things (IoT), automation, and predictive analytics. He helps companies to move quickly and in a disciplined way from concept to cash.  Areas of focus include the use of lean startup approaches in large organizations, business model innovation, and the challenges manufacturers confront in moving to services-led business models.    Jim is industry co-chair of the Aston Advanced Services Partnership and past member of the Scientific Advisory Council for the Nissan Autonomous Vehicle program. He is also a co-founder of the MIT Innovation Laboratory, a consortium to nurture innovation in organizations. Jim has published and spoken extensively on innovation and technology management. His google scholar page can be found at    Jim received his Bachelor of Science degree from Cornell University in mechanical and aerospace engineering and his Master of Science degree from Princeton University, where he was a Guggenheim Fellow.  He also holds an MBA from Southern Methodist University. He has received several awards for his work in AI, including two selections as Innovative Applications of AI, the Carnegie Mellon University/AMS Award for Managing Information Systems, and the Franz Edelman Award (finalist).  

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