Applications
Preserve local knowledge when implementing changes. Before standardizing or optimizing, understand what current practices accomplish. The inefficiency you see might be crucial adaptation you don't understand. Interview people doing the work, observe how things actually function, and investigate why seemingly odd practices persist. Change with humility about what you don't know.
Value experience and apprenticeship for developing metis. Some knowledge only comes from doing. Create pathways for people to gain direct experience rather than just theoretical instruction. Pair novices with experts not just to transfer explicit knowledge but to enable tacit learning through observation and practice. The master-apprentice relationship develops metis in ways classroom education can't.
Design systems that allow flexibility for local adaptation. Rather than imposing one-size-fits-all solutions, create frameworks that enable customization based on context. Central control works for problems with universal solutions; distributed autonomy works for problems requiring local knowledge. Match governance structure to problem type.
Recognize the limits of your own expertise. When entering unfamiliar domains, assume locals know things you don't. Their practices may look strange because you don't understand the constraints they're navigating. Ask questions, observe patterns, and look for hidden order before concluding that local approaches are simply wrong.