Uncover the myth behind the "70 percent of change initiatives fail" statistic. Learn the real success factors and why organizations actually succeed at change.
"There is no empirical evidence to support the espoused 70 percent organizational-change failure rate. In fact, there is no credible evidence at all to support the notion that even half of organizational change efforts fail." — Mark Hughes (2011), Journal of Change Management
If 70 percent of change initiatives truly failed, would organizations keep attempting transformation? The answer reveals something profound about how we measure success
One of the most widely cited statistics in organizational literature is that "70 percent of change initiatives fail." This figure appears in countless business articles, consulting reports, and academic papers—yet when researchers examine the claim critically, they discover something startling: there is no robust empirical evidence supporting this specific statistic.
The 70percent figure has become a self-perpetuating myth, cited so frequently that it's treated as established fact despite originating from loose estimates and methodological ambiguity. Dr. Mark Hughes of the University of Brighton conducted a definitive critical examination of the published sources claiming this failure rate and found the evidence foundation essentially nonexistent.
This misunderstanding has profound implications for how organizations approach change, how leaders frame transformation efforts, and where resources are allocated. Understanding the actual research on change success—and failure—provides a foundation for more realistic and effective change management.
The figure "70 percent of organizational change initiatives fail" is often attributed to consulting firms like McKinsey and sometimes to academic researchers like John Kotter. Yet this attribution is deceptive. Tracing the claim's origins reveals a murky history that should give pause to anyone who cites it with confidence.
1993 - Hammer and Champy: The likely origin appears in Michael Hammer and James Champy's book Reengineering the Corporation, where they state (without supporting evidence): "Our unscientific estimate is that as many as 50 percent to 70 percent of the organizations that undertake a reengineering effort do not achieve the dramatic results they intended."
Notice the critical language: "unscientific estimate" and "do not achieve dramatic results"—vague criteria without rigorous definition or measurement. This loose statement became the foundation for a figure that would be repeated for decades as established fact.
1995-2000s - Repetition and Hardening: The statement was repeated by subsequent authors—Kotter (1996), Senge, and others—each time becoming more assertive and less qualified. The number hardened from a loose estimate into established "fact."
Perhaps the most frequently cited source is a McKinsey consulting survey from 2008-2009 often interpreted as showing a 70 percent failure rate. However, critical reanalysis of the actual survey data tells a very different story.
McKinsey surveyed 2,470 respondents about their transformations, asking whether they were "somewhat successful," "very successful," "extremely successful," or "not successful at all." The actual results:
"Somewhat successful" or better: 2,470 respondents
"Not successful at all": 145 respondents
The actual failure rate: 145 ÷ 2,615 = 5.87 percent. This represents approximately a 94 percent success rate, not 70 percent failure. The McKinsey data, when properly analyzed, actually shows most transformations achieving at least some level of success. Yet the 70 percent figure continues to be attributed to this very study.
Economic incentives: Consulting firms benefit from portraying change as risky and requiring expert guidance. A 70 percent failure rate creates urgency for hiring consultants.
Media cycles: The statistic is eye-catching and media-friendly. "70 percent fail" travels further than nuanced discussion of success factors.
Circular referencing: Authors cite each other without checking original sources, creating chains of citation divorced from evidence.
Definitional ambiguity: Without clear definition of "success" and "failure," the statistic becomes unfalsifiable—it can mean whatever serves the speaker's narrative.
The McNamara Fallacy: As described in systems thinking, "In the absence of empirical evidence supporting the espoused Organisational Change failure rate, 'an arbitrary quantitative value' of 70 percent has been assigned to change failure, based upon an assumption that what can't be measured easily really isn't important."
Dr. Mark Hughes from the University of Brighton conducted a critical examination of five published sources claiming a 70 percent organizational change failure rate (Hammer & Champy, Beer & Nohria, Kotter, Senge, and consulting firm estimates). His conclusion was unambiguous: "There is no empirical evidence to support the espoused 70 percent organizational-change failure rate. In fact, there is no credible evidence at all to support the notion that even half of organizational change efforts fail."
Hughes examined what little empirical evidence existed and found failure rates ranging from as low as 5.87 percent (based on reanalysis of the McKinsey survey) to 34 percent (citing various sources)—nowhere near 70 percent. The gap between popular perception and empirical reality is staggering.
CEB Corporate Leadership Council (2016): Research examining 34 organizations found that only 34 percent reported their change initiatives as successful. This means approximately 66 percent did not fully meet objectives—which is different from "failed" if we use rigorous definitions.
Prosci Research (Best Practices in Change Management): Organizations that measured compliance and overall performance against change objectives found:
76 percent met or exceeded objectives when measurement was done
24 percent met or exceeded objectives when no measurement was conducted
This demonstrates that measurement and tracking dramatically improve outcomes—a success rate of 76 percent for measured initiatives is substantially higher than commonly cited failure rates.
Canadian Public Service (2022-2023, N=189,584 employees): A large-scale study found that effective communication of mission, vision, and goals explained 53.43 percent of unique variance in change management effectiveness (r = .887, β = .507, p < .001). The model explained 87.1 percent of total variance in change management effectiveness, suggesting that when key factors are managed well, success becomes highly predictable.
Rather than an inherent 70 percent failure rate, research reveals that change initiatives stumble due to specific, identifiable, and preventable factors:
Organizations whose leadership clearly defined roles and responsibilities and communicated project progress were 8 times more likely to succeed than peers (McKinsey research). A study of change management success factors found that clear and shared change vision and strategy (Mean = 4.1 out of 5, CI = 1.2) and leadership support were consistently the strongest predictors of success across multiple initiatives.
Poor communication consistently ranks among the top causes of change failure:
86.2 percent of employees in a healthcare change initiative cited poor communication as the main problem encountered
28 percent of employees actively resist change due to top-down, ineffective communication
Organizations with inconsistent messaging show substantially lower success rates
While employees are generally willing and capable of adapting to change, only 26 percent successfully implement change management in practice (CEB Corporate Leadership Council). The gap between willingness and actual implementation reflects engagement and commitment deficits. Prosci research found that active and visible sponsorship from senior leaders increases success by 29 percent.
More than half of workplace leaders and staff say their organizations struggle to set well-defined measures of success for change initiatives. This creates cascading problems:
25 percent of organizations fail to review past change management initiatives, repeating the same mistakes
Organizations that measure compliance achieve 76 percent success rate, versus 24 percent for those without measurement
McKinsey found "nearly a quarter of the respondents say the target was not well defined"
Resistance emerges as a key factor, but it's not inevitable—it's often triggered by poor change management:
Only 9.37 percent of employees understood a recent organizational change
54.5 percent resisted, primarily due to poor organization quality (42.4 percent)—a change management factor, not employee unwillingness
This suggests resistance is often a symptom of poor implementation rather than evidence that change itself cannot succeed.
Rather than debating failure rates, recent research identifies specific factors that predict success:
A synthesis of change management research identified these consistent predictors of success:
Clear vision and shared purpose (effect sizes: β = .507, p < .001)
Effective change leadership and executive sponsorship
Powerful engagement processes and two-way communication
Committed local sponsors and mid-level engagement
Strong personal connection to change rationale
Sustained personal performance incentives and recognition
Measurement and feedback mechanisms
Training and skill development
Organizational readiness assessment before implementation
Integration of lessons learned into ongoing processes
Research by Prosci (the ADKAR change management company) consistently shows:
88 percent of projects with excellent change management met or exceeded objectives
Only 13 percent of projects with poor change management met objectives
The 6.8x difference between excellent and poor change management reflects the massive impact of execution quality
Spending 10-15 percent of a project budget on change management yields 3-6x return on investment
The implications of debunking the 70 percent myth are profound:
There is no inherent failure rate for organizational change—outcomes depend on implementation quality and management practices
Success is predictable and buildable when key factors are managed well
The difference between success and failure primarily reflects change management execution, not the inherent difficulty of change
Measurement matters critically—organizations that track progress achieve substantially higher success rates
Rather than approaching change with the fatalism that "70 percent fail anyway," leaders should:
Invest in clear vision and communication (53.43 percent of effectiveness variance explained)
Ensure strong leadership commitment and visible sponsorship (8x difference in success)
Build measurement and feedback systems (76 percent success when measured vs. 24 percent when unmeasured)
Allocate adequate resources to change management (10-15 percent of project budget yields 3-6x ROI)
Engage employees in designing the change rather than imposing it top-down
Organizations with strong change management practices enjoy:
3-6x return on investment versus poor change management
88 percent success rate on projects with excellent change management
8x higher likelihood of success with clear leadership engagement
29 percent increase in success through active senior sponsorship
The "70 percent of change initiatives fail" statistic serves a useful purpose: it highlights that organizational change is difficult and requires deliberate, skilled management. But the specific number is not supported by evidence. As Hughes definitively demonstrated, "there is no credible evidence at all to support the notion that even half of organizational change efforts fail."
The better narrative is this: Organizations don't inherently fail at change—they fail at managing change effectively. When leadership commitment, clear vision, effective communication, engagement, and measurement are in place, success becomes highly predictable.
This reframing has important consequences. Fear-based narratives ("change is too risky, expect failure") can become self-fulfilling prophecies. Evidence-based narratives ("success depends on these specific practices, which we can implement") empower organizations to actually achieve transformation.
The research is clear: the 70 percent failure rate is a myth. But the factors that create success are not mythical—they're empirically established and implementable.
Beer, M., & Nohria, N. (2000). Cracking the code of change. Harvard Business Review, 78(3), 133-141.
Errida, A., & Lotfi, B. (2021). The determinants of organizational change management success: Literature review and case study. Journal of Organizational Change Management, 34(4), 1-29.
Hammer, M., & Champy, J. (1993). Reengineering the corporation: A manifesto for business revolution. HarperCollins.
Hughes, M. (2011). Do 70 per cent of all organizational change initiatives really fail? Journal of Change Management, 11(4), 451-464.
Khaw, K. W., Ng, S. I., Chuah, F., & Lim, Y. M. (2022). Reactions towards organizational change: A systematic literature review. Journal of Change Management, 22(1), 75-93.
McKinsey & Company. (2008). The organizational health index. McKinsey Survey.
Prosci. (2020). Best practices in change management. Prosci Learning Center.
Wilkinson, D. (2018). Where did the 70% failure rate come from? Organizational Change Today.
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