Why most organizational changes fail, what the ones that work have in common, and what the research actually says about leading people through transitions.
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.
What the evidence actually says about organizational change failure. The real patterns behind the headline statistic, the diagnostic distinctions that determine which tools apply, and what happens when the diagnosis is wrong.
The human side of organizational change. What people lose, how identity is disrupted, why the gap between the old competence and the new feels like failure, and why resistance is information rather than an obstacle.
How a change effort is designed and sequenced. Coalition building, communication, pacing, quick wins, and the political economy of organizational change — who gains, who loses, and why that determines what happens.
What change leadership looks like for the people who actually carry it — middle managers, project leads, and sponsors translating between the executive vision and operational reality, with authority over neither.
The specific mechanics of four recurring organizational changes — each with its own evidence base, its own failure modes, and its own gap between what the literature recommends and what companies actually do.
Why changes revert, how new practices become routine, what organizations learn from the changes they survive, and when the right decision is to stop changing.
“The diagnostic skill most change management books skip.”
The collection opens by dismantling the 70% failure myth and replacing it with something more useful: a set of diagnostic distinctions — technical vs. adaptive, first- vs. second-order, planned vs. emergent — that determine which tools apply before any methodology is selected. It is unusually honest about where the evidence supports the popular models and where it is thinner than the models' reputations suggest.
Change fails not because people resist it but because organizations misdiagnose what they are asking people to do.
A technical change asks people to do something different; an adaptive change asks them to be something different. The tools for the first do not work on the second, and most failed change efforts are adaptive challenges treated with technical solutions.
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Ranked by semantic similarity
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