Architectural experiments validate high-cost decisions to avoid costly mistakes.
Not all decisions require experimentation; low-cost changes may suffice.
Defined experiments differentiate from casual tech exploration, enhancing learning.
Results of experiments should clarify decision paths and indicate if redesign is needed.