The appeal of best practices is obvious. Someone else has solved a version of your problem, and you can benefit from their experience without incurring their learning costs. This logic underlies much of consulting, benchmarking, and cross-industry learning.
The flaw is equally obvious once you look for it: context matters enormously, and context rarely transfers. What made a practice work in one organization, at one time, facing one set of constraints, may not apply when any of those variables change.
Consider a company that adopts agile development practices because they worked well at a successful tech firm. The practices may have been effective in an environment with certain talent, certain culture, certain product characteristics, and certain market conditions. Strip away those conditions, and the practices become rituals without power.
The best practice label also tends to freeze learning. Once something is designated a best practice, questioning it becomes difficult. The organization imports not just the practice but the assumption that it should not be revisited. Adaptation, which is essential to making anything work in a new context, is discouraged.
This does not mean that learning from others is useless. It means that the learning should focus on principles rather than procedures. Understanding why something worked, what conditions made it effective, and what adaptations might be necessary is more valuable than copying the what without the why.
Effective borrowing requires honest assessment of how similar or different your context is from the source. It requires willingness to modify imported practices rather than implementing them wholesale. And it requires ongoing evaluation of whether the practice is actually producing the expected results in your specific environment.
The phrase best practice itself deserves scrutiny. Best for whom? Best under what conditions? Best compared to what alternatives? A practice that was best somewhere is not automatically best everywhere. The transferability has to be demonstrated, not assumed.
The discipline is to treat external examples as hypotheses rather than answers. They suggest possibilities worth exploring, not solutions ready for deployment. The work of adaptation, of making something fit your particular context, is where the real value is created.