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We Checked the "70% of Change Fails" Statistic

Two '70%' failure statistics circulate as if they're one finding: one for change management, one for digital transformation. Only one traces to real research.

Praxis Consulting Company8 min read
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Two numbers circulate in board decks and consulting pitches, and they are close enough in wording that most people treat them as the same finding restated twice. One says roughly 70% of change management initiatives fail. The other says roughly 70% of digital transformations fail. Both get attributed, depending on who is presenting, to Kotter, to McKinsey, or to no one in particular. Before either number went anywhere near a page we were building on change management or digital transformation, each had to resolve to a document we had actually read.

They did not resolve the same way. One traces to a single sentence in a 26-year-old article, with no citation behind it, in a work whose most commonly assumed source never states a percentage at all. The other traces to a named 2020 study with a stated sample, a stated methodology, and a defined test for what "success" means. Same number, same shape of claim, and one of them is real.

What we checked, and how

For each claim, the test was: find the specific document being cited, not an article citing it; fetch the live page or the live text; and quote the exact sentence rather than accept a paraphrase of it. Where a publisher's page could not be reached (a repeated timeout or an HTTP 403 consistent with an automated-access block), that source is recorded as unread and abandoned on first refusal, with no retries and no attempt to work around the block. No paid tool, trial, or subscription was used. Total spend: zero.

The tally

Figure as commonly statedVerdict
"About 70% of all change initiatives fail" (often credited to Kotter)Traced to one document, with zero supporting evidence.
Kotter's 1995 HBR article states the change-failure rate at 70%Not found. The article contains no percentage at all.
"70% of digital transformations fail"Verified, with methodology. A named, defined, sourced study: a different claim from the one above.
Change initiatives succeed roughly 30% of the timeA different, smaller, real number exists: 54% success (2013 survey).

The 70% everyone attributes to Kotter isn't in Kotter

The article most commonly assumed to be the source of "70% of change efforts fail" is John Kotter's 1995 Harvard Business Review piece, "Leading Change: Why Transformation Efforts Fail." We read it directly. It opens with Kotter describing having "watched more than 100 companies try to remake themselves into significantly better competitors," and it goes on to lay out the eight reasons those efforts commonly stall. It does not, anywhere, attach a percentage to how many failed. The 70% is not there to be found, because it was never written there.

Kotter's own consultancy doesn't repeat it either. The current methodology page for the Kotter 8-Step Process, published on Kotter's own website, describes Dr. Kotter having "observed countless leaders and organizations" over four decades. It states no failure percentage and attributes none to his research.

The sentence the number actually comes from

The number does exist, in print, attached to change management specifically, just not where it's usually credited. Michael Beer and Nitin Nohria's Harvard Business Review article "Cracking the Code of Change" (May to June 2000) states: "The brutal fact is that about 70% of all change initiatives fail."

That sentence is the primary source. Reading it directly settles what it is and is not: an assertion, not a finding. It carries no footnote, no cited study, no sample, no year, no definition of what "fail" means. Twenty-six years of consulting decks have carried that number forward as though it were measured. It reads, on the page, as a single confident sentence with nothing under it.

A different, smaller number that is real

If a change-management failure rate is going to be cited at all, a defensible one exists, and it isn't 70%. Strategy&, the PwC-owned consulting arm formerly known as Booz & Company, ran a 2013 global survey of senior executives on culture and change management through its Katzenbach Center. Reported in "10 Principles of Leading Change Management" (Aguirre and Alpern, June 2014): "the success rate of major change initiatives is only 54 percent."

That is a real, named, dated survey: a defensible figure, and a different one. Fifty-four percent success is a 46% failure rate, not 70%, and it comes with company: 65% of respondents named change fatigue as a problem, 48% said they lacked the skills to sustain change, 44% didn't understand what they were being asked to change, 38% disagreed with the change outright, and 76% said executives had failed to account for the organization's existing culture before acting. None of those numbers round up to the 70% figure in circulation. They are simply the real ones, from a survey that exists and names itself.

The other 70% is a different claim, and this one holds up

Digital transformation carries its own "70% fails" figure, usually delivered in the same breath as the change-management one, as though they were the same finding. They are not. Boston Consulting Group's October 2020 report, "Increasing the Odds of Success in Digital Transformation," states the number directly: "70% of digital transformations fall short of their objectives."

Unlike the change-management version, this one comes with the apparatus that makes a number checkable. BCG's stated methodology combines its own experience across 70 companies' transformations with a survey of 825 senior executives, and it defines success on multiple dimensions: the percentage of predetermined targets met, whether that value arrived on time, performance relative to other transformations, and performance against management's own stated aspirations. The report breaks the result into three bands rather than a single cliff: roughly 30% of transformations land in a "win zone," 44% land in a "worry zone" that creates only limited value, and 26% land in a "woe zone" that creates almost none.

That nuance is exactly what disappears when the number gets lifted into a slide. "70% fail" is a compressed and slightly misleading read of a report that actually found a third of transformations doing well, another sizable share doing something rather than nothing, and a minority producing close to no value at all. The number is real. The one-line version of it isn't quite what the study says.

What we could not verify, and left that way

One paper is frequently cited as the definitive rebuttal of the change-management 70% figure: Mark Hughes, "Do 70 Per Cent of All Organizational Change Initiatives Really Fail?", published in the Journal of Change Management in 2011. Two attempts to reach it directly (the publisher's page and an open-access mirror) both returned an HTTP 403 consistent with an automated-access block. Per the same policy applied to every source in this piece, that is recorded as unread rather than summarized secondhand. Its title and journal are a matter of public record; its argument is not something this piece verified and is not represented here as one.

McKinsey is the other name routinely attached to both statistics, in pitch decks more often than in print. Two direct attempts to reach McKinsey's own transformation-research pages timed out rather than loading, a pattern consistent with an automated-access block rather than a content issue. No claim attributed to McKinsey in this piece rests on those pages; where a McKinsey attribution appears in the wild, it is worth requesting the specific title and page number before repeating it, exactly as it would have been worth doing here.

What this means before hiring for either kind of work

The number a firm opens with is a decent proxy for how they'll treat the rest of the engagement's numbers. "Kotter found 70% fail" is checkable in about the time it takes to open the article, and it does not survive the check. "BCG found 70% of digital transformations underperform" is also checkable, and it does survive, with a methodology, a sample, and a caveat about what the number actually measures that most citations drop on the way to the slide.

That distinction is the useful one for a buyer evaluating either a change management engagement or a digital transformation program: ask which number a consultant is standing on, and ask them to name the document it comes from. A firm that can't, or that produces "Kotter says 70%" as the answer, is citing folklore. Tell us what you're evaluating if you want the numbers behind a specific proposal checked the same way.

How to check a number like this in five minutes

  1. Ask for the document, not the name. A firm's name attached to a number, with no title or year, is not a citation.
  2. Open the document and search it for the number. Kotter's 1995 article settles this test in under a minute: the number simply is not in it.
  3. Check what "success" or "failure" was defined as. BCG's three-band breakdown is a materially different claim than a flat 70/30 split, even though both are "true" of the same study.
  4. Note the year and the sample. A 2013 survey of senior executives and a 2020 study of 825 executives plus 70 companies are each specific enough to be wrong in a checkable way. An unsourced sentence isn't.
  5. Write down what you couldn't read. A source blocked from automated access is a different state from a source that disagrees with you, and it should be recorded as such rather than quietly dropped or silently assumed to say what everyone else claims it says.

This piece checked four claims tied to two commonly repeated "70%" statistics. It is not a survey of change-management or digital-transformation research generally, and no rate of failure across either field is asserted here beyond the specific, named studies quoted above.

Filed underchange managementdigital transformationsource verificationresearch

Written in the firm’s voice by Praxis Consulting Company. We publish frameworks we actually use, never fabricated results, client names, or guarantees. See about the firm.

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