The most cited statistic in change management — that 70% of change efforts fail — has never been properly sourced. Hughes (2011) traced the claim through decades of citations and found no rigorous study behind it. What the research does support is more useful: change efforts break down in identifiable patterns, most of which trace back to a misdiagnosis. A technical change asks people to do something different; an adaptive change asks them to be something different. Applying the tools of the first to the second is the single most reliable source of failure. This collection builds the diagnostic skill first — Heifetz's technical-adaptive distinction, Watzlawick's first- and second-order change, Lewin's force-field analysis — then moves through what change does to people (Bridges' transition model, the competence dip, resistance as information), the architecture of a change effort (coalitions, communication, political economy), middle-management leadership, and the hard cases: restructuring, M&A, digital transformation, culture change, and organizational failure. It closes with why changes revert, how new practices embed, and when the right move is to stop. Thirty sessions across six modules, grounded in organizational behaviour research and examined against recent cases from Microsoft, Nokia, Adobe, GE, and the NHS.