What the Evidence Actually Says About Transformation Failure

A note on this piece: PreQuake hasn’t run enough engagements yet to publish primary research of our own. What follows is a synthesis of published findings from McKinsey, Bain, and Prosci — cited, not claimed as ours. We’ll publish original data here once we have enough of it to be honest about.

The transformation-failure statistic gets quoted so often it’s stopped meaning anything to most people who hear it: roughly seven in ten transformations fail to meet their objectives, a figure McKinsey has reported consistently across more than a decade of research. Bain’s 2024 analysis puts a comparable number even higher — 88% of transformations miss their original goals. The exact figure moves depending on methodology and what counts as “success,” but the range has been remarkably stable for a long time. That stability is itself the interesting part: this isn’t a problem anyone has been quietly solving.

The gap isn’t where most planning effort goes

A recurring finding across this research is a mismatch between where transformation budgets go and where the actual risk sits. One 2025 analysis of transformation spending found 80-90% of budgets flow into technology, with under 2% going toward the capability-building work — reskilling, coaching, process redesign — that determines whether people can actually use what’s been bought. Prosci’s own benchmarking, cited repeatedly across the field, found initiatives with strong change management are roughly six times more likely to succeed than those without it. The money and the risk are pointed in different directions.

Leadership consistently overestimates readiness — and the gap is measurable

The finding most relevant to what a diagnostic like PreQuake is built to catch: a 2025 study on transformation capacity found a consistent pattern — the higher someone sits in the hierarchy, the more optimistic their self-assessment of the organization’s readiness tends to be. Boards and executive teams systematically rate their own transformation capability higher than project and program managers closer to the actual work do. That’s not a minor discrepancy to note in passing — it’s a structural perception gap between the people deciding whether to launch and the people who’ll actually determine whether it works, and it means the person most confident a transformation will succeed is, on average, the person furthest from the evidence.

Sponsorship helps — but it’s not the same variable as readiness

Prosci’s research finds that active, visible senior sponsorship measurably increases the odds of success. This is real and worth taking seriously — and it’s also easy to over-read. Sponsorship is a necessary input, not a proxy for organizational readiness itself; a sponsor’s conviction says something about the sponsor, not about whether the rest of the organization has the clarity, capability, capacity, and internal agreement to execute. Conflating the two is a common and costly mistake, and it’s the same distinction we wrote about separately in why executive sponsorship alone isn’t enough.

What this body of research adds up to

Put together, three findings recur across independent sources: the failure rate has stayed roughly constant for years despite widespread awareness of the problem; the money keeps flowing toward technology while the actual risk sits in the people layer; and the people closest to the top are consistently the least accurate judges of whether the organization is actually ready. None of these are new observations — the research has been saying this for a while. What’s changed recently isn’t the diagnosis. It’s whether the tools now exist to act on it at the scale a real organization needs, rather than in a 30-person sample once every few years.