Fox Valley Data Exchange's Jason Schulist: Matching Problem-Solving Tools to Challenges

Jason Schulist, Executive Director of the Fox Valley Data Exchange, brought his extensive problem-solving experience to the People Solve Problems podcast hosted by Jamie Flinchbaugh. With over 30 years of experience across construction, automotive, utility, and paper industries, Jason shared valuable insights about understanding and addressing different types of problems.

At Fox Valley Data Exchange, Jason works to make community data accessible across three counties in Northeast Wisconsin. The organization helps stakeholders understand how people thrive by examining factors like meaningful work, wealth, physical health, and transportation. In addition to this role, Jason leads the Generative Local Community Institute, focusing on creating economic models that help people flourish.

Jason introduced listeners to the Cynefin model, which provides a framework for categorizing problems into clear, complicated, complex, and chaotic domains. He emphasized that different types of problems require different approaches and tools. For example, while manufacturing problems might have clear cause-and-effect relationships, community issues often fall into the complex domain where patterns shift and traditional solutions may not work.

Drawing from his experience addressing poverty in his community, Jason shared a compelling case study. His team discovered that earning $18 per hour represented a crucial threshold for stability in their area. They identified three key factors that helped people overcome poverty: some post-secondary education, having or expecting a child, and maintaining consistent employment for six to twelve months. Using this information, they set a goal to double the rate at which people moved out of poverty, from 3.5% to 7%.

The project involved 27 parallel experiments, demonstrating Jason's approach to complex adaptive problems. One successful initiative identified eight certification programs - dubbed the "Elite Eight" - that consistently led to stable employment above the target wage. Another successful experiment involved connecting with people who were just a few classes short of completing their certifications, helping them finish their education and secure better-paying jobs.

He emphasized the importance of collaboration in community problem-solving. He highlighted the success of CI Squared (Continuous Improvement times Community Improvement), a volunteer group of more than 55 continuous improvement professionals who have participated in over 80 interactions with nonprofits. These volunteers apply their professional skills to help community organizations address challenges and develop strategic plans.

Throughout the conversation, he demonstrated how different problem-solving approaches can be adapted and combined to address complex community challenges. His work shows that while some problems can be solved directly, others - particularly in the complex domain - need to be addressed through iteration, observation, and pattern recognition.

To learn more about Jason's work, visit www.fvdex.org or connect with him on LinkedIn.