In a recent LinkedIn post, Shannon Smith, J.D., M.S. explores the common reasons why new technologies falter after successful pilot phases, arguing that the true challenge lies not in technical feasibility but in human adoption. Smith, J.D., M.S. highlights that the transition from controlled testing environments to real-world user engagement is where many innovations meet their demise, despite initial positive outcomes in pilots or demos.
Smith, J.D., M.S. points out that successful pilots often mask underlying issues related to user behavior and cognitive resistance. According to Smith, J.D., M.S., the core problem is that adoption measures behavior, and behavior is deeply rooted in how the human brain operates.
“New tech rarely dies in testing. It dies when real people have to use it.”
This statement sets the stage for Smith, J.D., M.S.’s detailed analysis of the neural factors that influence technology adoption. The post outlines ten key strategies, grounded in neuroscience, for navigating the critical post-pilot phase and ensuring successful scaling.
Understanding the Science of User Behavior
A central theme in Smith, J.D., M.S.’s post is the brain’s inherent preference for familiar patterns and routines. This preference, particularly the role of the basal ganglia, can create resistance to new workflows even when users intellectually understand the benefits.
Designing for Behavior Change
Smith, J.D., M.S. emphasizes that successful implementation requires designing for behavior change, not merely proving a concept. The brain, as Smith, J.D., M.S. explains, can like an idea but still resist altering established habits.
“The brain can like an idea and still resist changing routines.”
This resistance stems from the brain’s natural inclination to conserve energy. Introducing new technology often requires more cognitive effort, which the brain perceives as a cost. Therefore, Smith, J.D., M.S. advises leading with the user benefits—how the technology makes things easier, safer, or faster—rather than focusing solely on technical performance. The brain’s primary scan is for personal relevance, and if that value isn’t immediately apparent, engagement wanes.
Addressing the Emotional and Social Aspects of Adoption
Beyond cognitive effort, Smith, J.D., M.S. also addresses the emotional barriers to adoption. Fear of failure, exposure, or even replacement can be significant deterrents.
Mitigating Fear and Building Trust
Smith, J.D., M.S. advocates for surfacing and reducing the emotional risk associated with using new technology. This includes acknowledging that people often protect their current status before embracing change. Furthermore, the way new workflows are introduced is crucial.
“The brain prefers familiarity and predictability.”
Anchoring new behaviors to existing, familiar actions can significantly ease the transition. Smith, J.D., M.S. also stresses the importance of effective training, suggesting it should be simple, repeated, and directly tied to real-world application moments. Overloading users with information is counterproductive, as limited working memory can lead to reduced confidence and follow-through.
The Role of Leadership and Social Dynamics
Finally, Smith, J.D., M.S. highlights that logic alone does not overcome organizational politics. The social and professional implications of adopting new technology can be powerful drivers of resistance.
Empowering Middle Managers
To counter this, Smith, J.D., M.S. suggests making adoption feel socially and professionally safe. This involves equipping frontline leaders, such as middle managers, to reinforce the new behaviors daily. As Smith, J.D., M.S. notes, the brain looks to authority figures and peer behavior for cues on safety and normalcy. Creating a fast, positive first experience is also critical, as early wins trigger dopamine and build momentum, while initial frustration can tag the technology as too costly.
“Scale requires lower friction, lower threat, and clearer reward.”
In conclusion, Shannon Smith, J.D., M.S. provides a comprehensive, brain-based framework for understanding and overcoming the adoption challenges that plague new technologies, emphasizing that true success lies in consistently proving that people can adopt the innovation under real-world conditions.
📝 About This Content
This article is based on insights shared by Shannon Smith, J.D., M.S. on LinkedIn.
📅 Originally posted on June 23, 2026 | View original post on LinkedIn →