The eighth volume of the Quality Software series on leanpub, published in 2014, addresses organizational change at both the strategic and tactical levels. Where qsm-vol4-anticipating-change-1997 examined anticipating change as a management competency, this volume treats change itself — its structure, its dynamics, and the human response to it — as the central subject. The satir-change-model provides the principal analytical framework.
The volume covers meta-planning — planning how to plan — as well as tactical change planning and requirements process management. These topics connect Weinberg's management consulting experience with his synthesis of virginia-satir's work: effective change requires understanding not just what needs to be different but how people actually move through the disruption that change entails. The Satir Interaction Model, applied at the organizational level, illuminates why well-designed change initiatives so frequently fail during the chaos phase.
The treatment of the satir-change-model here is notably applied rather than theoretical. Weinberg translates Satir's framework — old status quo, foreign element, chaos, transforming idea, new status quo — into practical guidance for software organizations navigating planned transitions (process improvements, reorganizations, tool changes) and unplanned disruptions (crises, personnel changes, market shifts). The cultural-patterns-of-software-organizations model provides the context: a Pattern 2 organization experiencing change chaos will respond very differently than a Pattern 4 organization facing the same disruption.
This volume represents a mature synthesis from Weinberg's late-career-teaching-and-self-publishing-2000-2018 phase. It integrates threads from across his body of work — the cultural patterns analysis, the Satir synthesis developed with dani-weinberg and the aye-conference community, and the hard-won consulting insights of secrets-of-consulting-1985 and more-secrets-of-consulting-2001 — into a coherent treatment of one of software organizations' most persistent challenges.