for Organizational Transformationand Change Management
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Research and data

Original surveys, a quarterly index and evidence reviews, each published with its method, questionnaire and data. Hypotheses for the annual study are pre-registered, and every report is reviewed by two external experts.

The Langford Transformation Outcomes Study

How often do large transformations meet their objectives, and what do the ones that succeed do differently? Each respondent reports on one specific program in an organization of 1,000 or more employees, including programs that were canceled or paused, so the results are not limited to survivors.

Success is measured with five separate tests rather than a single failure rate, and respondents say whether each outcome is documented or estimated. Findings are reported as associations, not causes.

Sample
1,000 executive sponsors, program leads, change leads and business-unit leaders; at least 150 per program type and 300 from regulated industries
Program types
AI adoption, enterprise technology, M&A integration, operating model redesign
Success tests
Scope delivered; cost within budget; 80% of planned benefits at 12 months; adoption target met; attrition at or below baseline
Pre-registration
Open Science Framework, by January 22, 2027
Fieldwork
February 1 to March 19, 2027
Publication
June 15, 2027: report, data tables, questionnaire and methods appendix, free without registration
Peer review
Two external academics before publication

The Langford Change Load Index

How much change employees in large organizations are asked to absorb, relative to their capacity to absorb it. Each quarter, 2,500 employed adults in organizations of 250 or more staff across the United States, the United Kingdom, Germany, India and Australia.

The index is the simple average of four shares on a scale of 0 to 100, where higher means heavier load. Movements within the margin of error, about two points, are not reported as changes. First release: Tuesday, April 13, 2027, at 10:00 a.m. US Eastern.

  • ConcurrencyShare reporting three or more significant changes to their work in the past 90 days
  • Capacity gapShare who lack the time and support to adapt
  • Clarity gapShare who do not understand why the changes are being made
  • StrainShare who say the changes have made it harder to do their job well

Library

Where the 70 Percent Change Failure Rate Came From, and What to Measure Instead

Traces the most repeated statistic in change management to its sources and sets it against three decades of survey evidence.

Evidence ReviewPublishedOct 4, 2026Read

Beyond the Failure Rate: A Standard for Measuring Transformation Outcomes

Five tests in place of one failure rate, with a scorecard boards can request at every stage gate.

White PaperForthcomingNov 2026

Change Load: What the Evidence Says About Saturation, Fatigue and Intent to Stay

Separates what employees report from what leaders estimate, two measures that are often confused.

Research BriefForthcomingDec 2026

Sponsoring an AI Rollout: The Decisions an Executive Cannot Delegate

The calls a sponsor has to make in person, from workflow redesign to how adoption is measured.

Field GuideForthcomingJan 2027

Validated Change: Transformation Under GxP, Model Risk and Safety Rules

How regulated firms plan change when validation, audit trails and training records set the pace.

White PaperForthcomingFeb 2027

The First 100 Days of an Integration: People Decisions That Set the Value Case

Retention, role mapping, leadership appointments and the order of communications, with templates.

Field GuideForthcomingMar 2027

The Middle-Manager Squeeze: Disruption, Engagement and a Role No One Redesigned

What the research shows about managers in sustained change, and what it does not.

Research BriefForthcomingApr 2027