disrumpan

Disrumpan is a term used in organizational resilience and socio-technical theory to denote a planned, bounded sequence of disruptions designed to reveal structural weaknesses and trigger adaptive responses. It is not casual disruption; rather, it is a deliberate process implemented with explicit objectives, rules of engagement, and endpoints.

The core idea is to introduce small, reversible perturbations within a system, monitor how components interact, and use rapid feedback to accelerate learning and reconfiguration. Practitioners emphasize modular decoupling, so disturbances remain contained and do not cascade across the whole network. Common methods include staged simulations, timed perturbations of inputs, and controlled failures of non-critical subsystems, all paired with predefined recovery criteria and metrics such as time to detect, time to recover, and resilience scores.

The term emerged in late 2010s within both academic discussions of resilience and applied design disciplines, as a portmanteau suggesting disruption with purpose. While it has gained some traction in innovation, product development, and crisis preparedness, its usage is uneven and sometimes contested.

Applications span corporate planning, software testing, platform governance, and urban-infrastructure exercises, where disrumpan exercises aim to reveal bottlenecks, test response coordination, and foster improvisational capacity without compromising safety. Critics caution that disrumpan may blur lines between legitimate experimentation and destabilizing activity, and emphasize the need for ethical framing, clear governance, and risk controls.

Related concepts include resilience engineering, chaos engineering, disruption theory, and organizational learning.