Chasing the Next Methodolgy
Roughly seventy percent of change initiatives fail. You’ve seen this number. It anchors the consultant deck, the conference keynote, and the earnest post about transformation. It is also unsupported by serious evidence. Researchers who went looking for the source followed the citations backward until the trail simply stopped, as it does when nobody read the original. A field devoted to change rests its founding myth on a statistic it never verified. That may tell you most of what you need to know.
I do not raise this to be clever. I have spent forty-five years in this work, long enough to watch the field repeat itself with a straight face. I raise the number because it endures for a reason, and that reason is interesting.
For twenty-five years, I kept a chart on my office wall. An intellectual hobby, mostly, though it also served as a private comedy. It tracked whichever change methodology held the top spot at the time. Total Quality Management had it when I started, certain it would fix everything. Then every three to five years a successor arrived, seized the summit, and the old champion slid down the chart, suddenly unloved, as last year's miracle always is. Kotter's eight steps. Human-centered design. Agile change. Change as a capability, then change as a mindset, and lately change with an AI layer bolted on top. Watching it was both sad and hilarious. Each arrival announced that everything was different now. Each rested on the same buried assumption: that people are objects you move through a sequence, and that if you get the sequence right, they will arrive where you put them. The vocabulary keeps evolving. The premise does not.
And organizations keep doing what the premise recommends. They communicate the change. They build the coalition. They manage resistance, a phrase that should make us flinch because it casts the people doing the work as obstacles to be managed rather than the only ones who can make the change real. And then leaders are puzzled when the rollout stalls, and someone reaches for the seventy percent to explain it.
Beyond Compliance and Adoption
Here is the part the playbooks skip. People do not resist change. They resist loss and change imposed by someone else. Those are different problems, and the difference is the whole game. A nurse who has perfected a workflow over fifteen years is not afraid of the new system. Yet she is being asked to become a beginner again in front of the people she trained. Tell her that with another slide, and you have learned nothing. Sit with what she is actually losing, and you have a conversation that might go somewhere.
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People do not resist change. They resist loss and change imposed by someone else.
This is also why vision statements keep failing while vision stories occasionally work. A statement is the sentence the executive team negotiated into blandness so no one could object to it. Nobody can repeat it, the surest sign that nobody believes it. A story is something a person can carry into a meeting you are not in and tell to someone you have never met. One produces compliance you have to keep paying for. The other produces commitment that compounds when you are not looking. Most change programs invest enormous energy producing the first and call it the second.
Which brings us to the trend everyone wants me to endorse. Artificial intelligence is now being sold as the engine that will finally make change stick: faster sentiment analysis, real-time adoption dashboards, and personalized nudges at scale. Some of it is genuinely useful. But notice the assumption beneath it, because it is the old one wearing new clothes. It says the obstacle was always information and speed. It was not. The obstacle was meaning and trust, and no model can manufacture those.
So here is the opportunity, and it is not a new tool. It is a shift in how we think about change. Stop treating it as a project with a launch date and a closing celebration. The organizations that manage it well do not treat it as a project at all. They treat it as a story people choose to join, told credibly and often enough that joining feels like their idea, because, in the only sense that matters, it has to be.
Maybe the seventy percent is wrong. The felt experience behind it is not. It persists because we keep mistaking the sound of agreement for the fact of agreement, and we will keep doing so until we are willing to find out what our people think they are being asked to give up.
