Fall 2026 Facilitation Certification Application Deadline Sept 18th
Fall 2026 Facilitation Certification Application Deadline Sept 18th
post image
Facilitation | July 23, 2024

In professional development, the principles of practice and feedback are vital. Much like athletes and musicians refine their skills through rehearsal and critique, professionals must engage in deliberate practice and seek feedback to master their craft. This blog post explores these elements, providing insights and strategies to foster growth and success in the workplace. Facilitators, in particular, need ongoing practice and feedback to enhance their skills. Structured practice opportunities and feedback loops help identify strengths and areas for improvement. Embracing a growth mindset is essential, as it encourages seeking feedback and viewing challenges as learning opportunities. In professional settings, practice often gets neglected, overshadowed by the expectation to perform flawlessly. To foster growth, professionals need environments where they can safely practice and receive feedback, similar to athletes rehearsing before a performance.

post image
AI | August 28, 2026

AI adoption doesn’t fail because employees need more mandates, training, or oversight. It fails when organizations deploy AI without involving the people whose work will be transformed by it. Explore why employee involvement, psychological safety, and trust are critical to successful AI transformation, and why shadow AI adoption may reveal more about your workforce than traditional adoption metrics. Learn how an involve-before-mandate approach can uncover real AI opportunities, reduce resistance, build trust, and create AI-enabled workflows that employees actually want to use.

post image
New Friction | August 25, 2026

In this episode of the Facilitation Lab podcast, host Douglas Ferguson interviews Jeff Chow, Chief Product and Technology Officer at Miro, about where friction is showing up inside product teams as AI reshapes how work gets done. Jeff describes how PMs prototyping in high fidelity, designers coding, and engineers orchestrating agents are collapsing old role boundaries, and argues the underlying tensions — who owns a decision, who gets paged at 2am, how a designer receives feedback — aren't new, just amplified. Much of the conversation centers on decision-making as the real bottleneck: Jeff makes the case that 10x individual output doesn't translate into 10x business results unless organizations can also accelerate cross-functional alignment and cascade decisions with their underlying context, not just their conclusions. He and Douglas dig into Miro's bet that a shared visual canvas — carrying both artifacts and a decision log of why choices were made — is the connective layer that keeps AI-assisted work and human teams moving together instead of fragmenting into isolated single-player sessions. The two also trade observations on viral AI adoption patterns inside organizations, the psychology of design crits applied to AI-generated work, and the early signs of "ephemeral UI" and custom, vibe-coded widgets reshaping what software teams expect to build for themselves.

post image
AI | August 21, 2026

AI transformation is often measured by how much friction it removes, but not every obstacle in the workplace is waste. Some friction creates opportunities for judgment, mentorship, collaboration, and the development of critical leadership skills. Explore why leaders need to look beyond speed and efficiency when redesigning work with AI, how removing too much productive friction can weaken teams over time, and what organizations can do to preserve the human interactions that build expertise, strengthen decision-making, and prepare the next generation of leaders in an AI-enabled workplace.

post image
AI | August 20, 2026

AI productivity gains may be creating a hidden talent crisis. As senior employees use AI to take on work once assigned to junior staff, organizations risk “experience starvation,” weakening the pathways that build judgment, discernment, and future leaders. Explore how shrinking entry-level opportunities, skills atrophy, and disrupted talent pipelines could create long-term capability gaps, and why leaders need to design developmental friction into AI transformation. Learn how organizations can capture AI’s speed and efficiency without sacrificing the hands-on experience people need to grow into tomorrow’s experts.