Your organization just introduced its own generative AI chatbot for answering common questions and troubleshooting at work. You’re excited that the company is investing in new tools to speed up your workflow, but a few of your colleagues aren’t as keen. Some are confused by the tech, which was rolled out without much explanation or demonstration of its value. Others don’t trust AI at all, refusing to try it out. These moments of friction are exactly what change management aims to smooth out.

Change management is a structured process of implementing change designed to prepare members of an organization for transition and address the inevitable tensions that arise.1 It can be used to address adjustments in a variety of aspects at work, like the introduction of new tools or strategies, changes in organizational structure, or a shift in the overall culture. Crucially, change management is more complex than making the change itself, further considering how people adapt to the change and ensuring it aligns with organizational goals.² In other words, managing change at an organization is just as much about planning for human psychology as it is about planning for adaptation.

Change management is more than just overseeing a transition; it is fundamentally about guiding people through uncertainty and ambiguity. There are two scales at which organizational change might occur:³

• Adaptive changes: The small, iterative changes that organizations implement for needs that develop over time. For example, hiring a new team member to decrease your team’s workload.
• Transformational changes: The bigger, broader scope of adaptive changes, including organization-wide shifts in mission, strategy, and processes. For example, the new chatbot that your company has developed is a part of their initiative to enhance the efficiency of their workforce with AI.

Regardless of how big or small a change is, effective change management is an important aspect of any organization today, helping leaders and employees pivot in an ever-evolving world. The hard part isn’t recognizing the changes that should be made, it’s being proactive instead of reactive when implementing change management strategies. It starts with following the right steps to avoid the reactive, resistant pathway to change.

Steps and qualities for positive, effective change management

There are five key stages that are common ways to navigate change management: discovery, preparation, implementation, reinforcement, and analysis: ^{1, 3}

Change management isn’t just a series of steps; there are other important qualities that are essential to ensure a positive culture of change. In their absence, the risks of reactance to change and lack of employee and leadership buy-in may persist. Three key qualities of a positive change culture are: communication, participation, and recognition:¹

In the absence of these characteristics, organizations run the risk of halfhearted, top-down-focused changes that don’t go over well for the day-to-day employee. What may be most important for effective change management is ensuring that those impacted by change are actively involved in the process. Research shows that employees are more likely to get on board with a transformation when they’ve had a stake in its development. This is reminiscent of the IKEA effect: when we build something ourselves, including solutions, we feel better about the final product.⁴ By making changes both understandable and co-owned, we make them more human—and more likely to stick.

Resistance to Change: The natural pushback or reluctance individuals may feel when faced with new processes, roles, or expectations. This often happens when transitions are introduced without adequate preparation and information.

Change Readiness: The degree to which an organization or its members are psychologically and operationally prepared for change.

Bridges' Transition Model: A psychologically grounded framework that maps how people experience change emotionally, as a transition that necessitates endings and starting over. It underscores that successful change requires addressing identity, loss, and motivation at the individual level.

ITIL (IT Infrastructure Library): A structured system for managing digital and IT-related change with minimal disruption. This change management method incorporates behavioral insights, considering user habits, default settings, and resistance to friction as a means to improve implementation within tech-heavy transitions.

Kotter's 8-Step Process: A sequential model emphasizing momentum, vision, and shared purpose to guide organizational change. This method aligns well with behavioral strategies like goal salience, social proof, and identity-based motivation to reinforce buy-in.

Lewin’s Change Management Model: A classic framework that breaks behavior change into “unfreeze, change, refreeze” stages—mirroring habit formation and disruption principles central to behavioral science.

McKinsey 7-S Framework: A diagnostic tool that emphasizes internal alignment across seven domains (e.g., systems, shared values, staff). For behavioral practitioners, it highlights how beliefs, culture, and informal norms shape change far beyond formal structures.

Prosci Methodology: A person-centric model with stages like “awareness” and “desire” for enabling individual behavior change. Based on how people react to change, the Prosci methodology integrates project management, stakeholder engagement, and describes how to sustain change after interventions.

In the 1940s, psychologist Kurt Lewin theorized that successful change occurs in three distinct phases: unfreezing existing unwanted behaviors, introducing new desired behaviors, and refreezing such behaviors as a fixed part of the organization once more.⁵ The simple, intuitive model, often called the “unfreeze-change-refreeze” method, was one of the first popular change management frameworks. At the time, the notion that change requires a structured, psychologically attuned readiness was highly influential in the design of methods for organizational change, both on the level of human behavior and business operations. 

In the coming decades, psychological responses were at the forefront of organizational thought. Emotions, biases, and our cognitive reactions, especially to negative events, changed how we think about work transitions. In her research on grief, Elisabeth Kübler-Ross developed a five-stage model of denial, anger, bargaining, depression, and acceptance.⁶ Though originally applied to people grieving the end of a life, this model is sometimes used as a metaphor (not a predictive model) to explain resistance to change.5 Change was no longer merely a matter of rational business strategy and stakeholder management: its deeply human nature was appreciated as it was revealed that directly acknowledging emotions could reduce friction and speed up adaptation.⁷

By the early 2000s, a shift toward behavioral economics introduced entirely new ways of thinking about change. Change was now also perceived as being influenced by the design of the environment around it. Concepts from nudge theory, pioneered by Richard Thaler and Cass Sunstein, demonstrated that small, well-designed interventions like default options or timely reminders could shift behavior in large populations without mandates or pressure.^8,9 This led to a behavioral science-informed perspective on change, where empowering decision-making and designing smarter environments became just as critical as big-picture vision-setting.⁷

More recent developments in change management have emphasized organizational systems and internal alignment just as much as individual psychology. McKinsey & Company’s "Four Building Blocks of Change" approach, which includes fostering understanding, role modeling, capability building, and reinforcing mechanisms, reflects this expanded view of contemporary change.10Rather than seeing change as a single process or model, the focus is now on embedding new habits at every level of the organization. As today’s organizations face rapid digital transformation and global complexity, these systems-based approaches offer a more holistic and sustainable path forward.10 Keeping up with the accelerating pace of AI-oriented change as it evolves alongside human work continues to be an exciting but daunting development.

Kurt Lewin

A German-American psychologist widely regarded as one of the founding figures in social psychology. He developed the foundational "unfreeze-change-refreeze" model that framed change as a process rooted in group dynamics and behavioral readiness.⁵

Elisabeth Kübler-Ross

A Swiss-American psychiatrist best known for her five-stage model of grief. Her framework has been widely adapted in organizational contexts to help explain emotional responses to change and resistance.⁶

Richard Thaler

A Nobel Prize–winning behavioral economist whose work on decision-making biases helped popularize the concept of "nudging." His research laid the groundwork for applying behavioral insights to facilitate change without coercion.

Cass Sunstein

A legal scholar and co-author of Nudge, whose work explores how choice architecture can shape behavior in public policy and organizations. His contributions helped bridge behavioral science and governance, making change more human-centered and evidence-based.

While there has been debate surrounding the efficacy of change management, there are demonstrated benefits for individual adaptability, better strategic alignment, and better organizational performance overall. Let’s take a closer look at these impacts across all scales of organizations. 

More adaptable employees

In today’s professional landscape, adaptability is a highly sought-after skill. When a company announces new systems, like the generative AI tool in our anecdote, pushback can happen simply due to the foreign and unexpected nature of change. Calculated, step-based change management featuring clear communication, training, and feedback loops helps people move away from confusion toward competence. These thoughtful forms of change management increase readiness for future transitions to come.^{11, 12}

A recent literature review from 2022 found that communicating about the change and involving the stakeholders from various levels are two common, effective strategies for change management practitioners who want adaptive employees. This same research also shows that middle managers are key change agents, helping translate change to others.^{11, 13} In this sense, not only executives but also management with lower levels of authority need to be equipped with the ability to communicate and coach change for organic, sustainable transitions.

Strategy that actually aligns

Failure in change implementation often occurs as a result of employees being unable to see how new directions fit into the mission statement of their organization. Effective change management closes the gap by bridging initiatives with clear strategic objectives, especially when the journey involves a culture realignment.¹⁴ The translation of high-level goals into defined roles and highlighting short-term success is one way that leaders can support employees in navigating day-to-day behaviors with long-term meaning in mind. Breaking change down into these bite-sized actions for cumulative organizational results makes teams more cohesive, producing successful outcomes in the long run.¹²

Research demonstrates this is the case: when company vision is made a priority and leaders model the desired changes, teams are less likely to silo into competing needs.^{11, 15}

Better organizational performance 

Poorly managed changes can dampen productivity, but well-structured change implementation leads to gains in performance by improving role clarity and reducing friction. An instance of this is when staff receive focused training with short-term, measurable achievements and feedback.¹⁶ Think back to the AI tool: imagine having the chance to learn how to use it, give your input, and learn some AI literacy. It's likely that your morale will go up as you contribute and the intended benefits from the change materialize. 
A summary of change management studies highlights that a focus on themes of organizational culture, communication, and stakeholder involvement continues to underlie strategies that support optimal results.¹¹ Though some models also recommend incentives and rewards, change management practitioners tend to use encouragement more, which is noteworthy in the behavioral design of change programs that are performance-based.^{11, 13}

Change isn’t easy for everyone. Change management might fail due to poor leadership in change delivery, colleagues wanting things to stay the same, or simply a lack of resources allocated for change.¹

When leadership fails in managing change

It can be challenging to join a team that’s in the midst of transition. You may have experienced it yourself: during onboarding, you get a confusing document from weeks ago that details a list of updated policies at the organization that seem to miss the mark, judging from your disengaged and eye-rolling colleagues. Situations like this call for a missing ingredient: leadership visibility. Leaders who are unable to remind us of change reliably and proactively may create teams that are burnt out and fragmented in communication.¹

Strong leadership alignment and proactive behaviors are two of the most important factors for successful change at an organization. This means leaders who not only communicate clearly, but listen, too, as they remove obstacles in the way and embrace change at all stages, instead of only when they announce it.³ The failure to model commitment can unravel even the most technically sound change strategy.

Resistance to change 

In our earlier example, the new generative AI system rollout comes with its skeptics. Questioning the usual promise of AI reducing workloads and creating more efficiency, some of your colleagues refuse to use it at all. Such resistance, whether passive or assertive, is an organic human reaction to change that is easily compounded as a result of a lack of communication or incentives that don’t make sense.¹

Behavioral science is here to remind us that change is just as much about perception as it is about the process. People have their unique tendency to be loss-averse and habit-driven when skeptical or embracing unfamiliar systems coming from change.¹⁷ Though we cannot account for every individual difference, leaders must remember the human elements that arise in the face of change. Through empathy and dialogue, a more incremental onboarding differentiates moments of pushback from opportunities for progress. 

Not enough resources

When systems become outdated, an organization may decide to revamp how project progress and results are tracked. This initiative may bring enthusiasm, but although constraints are no longer coming from the human side, they may arise from the resource end. Implementing change requires time and an adequate budget. If the change actors in charge do not have these assets, it causes progress to slow. The initial, optimistic enthusiasm may risk fading out when a project falls under competing demands for resources with other priorities.¹

Poor planning isn’t always the culprit. It may be an issue of not being able to sync ambition with the capacity to execute change. Some management research suggests that change fails due to underestimating the time and support a solution truly needs.³ Without a strong base of training, communication, and continuous feedback, change efforts may crumble before momentum can reach full swing.

Rewriting the prescription of antibiotics in the UK

In the UK, antibiotic overuse has long posed a serious public health risk, and curbing it has required more than clinical directives—behavioral and change management are necessary, too. While media attention often centers on patient behavior, one overlooked factor lay in what general practitioners (GPs) were prescribing. Public Health England, together with the Behavioural Insights Team (BIT), launched a subtle experiment: social-norm letters to GPs with unusually high prescription rates as a behavioral science intervention with a tone of change management.¹⁸

The intervention targeted the top 20% of prescribing practices, delivering a letter stating: “80% of practices prescribe fewer antibiotics per head than yours.” This wasn’t social or medical shaming for doctors; it was giving context to a public health problem. The behavioral lens was powerful: people don’t like being outliers, especially if they don’t want to be perceived as unsafe.The intervention was associated with a 3.3% reduction in prescribing over six months—that’s equal to approximately 73,000 fewer antibiotic prescriptions in England.^{18, 19}

Similar experiments have since been conducted in attempts to replicate the effects in Australia and once more in the UK.^{20, 21} In a 2018 randomized trial targeting over 900 mid-range practices whose prescribing rates had increased (but weren’t in the top 20%), the same messaging yielded no statistically significant change.²¹ This different result may be due to framing effects: practices being told their amount of prescriptions was “increasing” felt less salient than being told they were an extreme outlier. Here, an important lesson for change management emerges: even empirically-backed behavioral tools don’t work universally. When seeking change, the message content, target audience, and contextual relevance always matter.²¹

Microsoft’s culture shift: Adopting a growth mindset in tech

When Satya Nadella took the reins at Microsoft in 2014, the company was bogged down by internal rivalries, stagnation, and a "know‑it‑all" culture that stifled innovation. Inspired by Carol Dweck’s growth mindset theory, which he had learned about from his wife, Nadella envisioned a culture where employees would become "learn‑it‑alls,” driven by a spirit of empathy, collaboration, and continual learning.^{22, 23} At a time when Microsoft was fearing irrelevance, Nadella’s method of change management is now considered an innovative and classic example in the discipline.²⁴

Nadella didn’t just preach the idea; he operationalized it. He convened an off‑site meeting with 180 senior leaders, forming a “culture cabinet” of 17 executives who defined what a growth mindset meant for Microsoft and identified behaviors to embody it. This leadership-led strategy was rolled out across the company of 130,000+ employees through revamped leadership practices, training modules, and consistent messaging from the top.^{22, 23} At one of the world’s largest companies, Nadella embraced the key qualities of change management, like consistent communication from the get-go. 

Within a few years, the company saw tangible shifts: innovation cycles shortened, collaboration improved, and employee engagement rose. Microsoft transformed from a product-centric Windows legacy business to a cloud and AI powerhouse, with market value climbing to over $3 trillion, driven not just by new technologies but by a culture that prioritized learning—and by leaders who practiced it every day.^{23, 25} Nadella shows us that even a company with the ubiquity of Microsoft requires thoughtful, innovative change management strategies, designed with humans in mind.

Performance Management

Before implementing sweeping changes to drive success, it may make sense to start with performance management first. In this piece, TDL columnist Isaac Koenig-Workman breaks down what performance management is, how it's related to organizational goals, and a case study on McKinsey’s War for Talent. 

The COM-B Model for Behavior Change

Change management and behavioral science often go hand in hand. In this article, TDL co-founders Dan Pilat and Sekoul Krastev present an essential model of behavior change: capability, opportunity, motivation, and behavior, also known as the COM-B model.

1. Change management. (2023, May 8). BDC.ca. https://www.bdc.ca/en/articles-tools/entrepreneur-toolkit/templates-business-guides/glossary/change-management
2. Iacoviello, A., Downie, A., & Whiteford, E. (2024, July 4). What is change management? IBM - United States. https://www.ibm.com/think/topics/change-management
3. Miller, K. (2020, March 19). 5 steps in the change management process. Harvard Business School Online. https://online.hbs.edu/blog/post/change-management-process
4. Appelt, K., & Bender, Y. (2025, February 10). Complementary disciplines: Change management & applied behavioural science. BIG Difference BC. https://bigdifferencebc.ca/blog/cm-bi
5. Change management. (n.d.). Munich Business School. https://www.munich-business-school.de/en/l/business-studies-dictionary/change-management
6. Applying the Kubler-Ross change curve to change management. (2024, November 1). Prosci. https://www.prosci.com/blog/kubler-ross-model-change-management
7. Evolution of change management models. (2024, January 15). Change Institute. https://www.change-institute.org/post/evolution-of-change-management-models
8. Willis, L. E. (2013). When nudges fail: Slippery defaults. The University of Chicago Law Review, 1155-1229.
9. Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Penguin.
10. The four building blocks of change. (2016, April 11). McKinsey & Company. https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/the-four-building-blocks--of-change
11. Phillips J, Klein JD. Change Management: From Theory to Practice. TechTrends. 2023;67(1):189-197. doi: 10.1007/s11528-022-00775-0. Epub 2022 Sep 9. PMID: 36105238; PMCID: PMC9462626.
12. Jalagat, R. (2016). The Impact of Change and Change Management in Achieving Corporate Goals and Objectives: Organizational Perspective. International Journal of Science and Research (IJSR). 5. 1233-1239.
13. Vakola, M., & Nikolaou, I. (2005). Attitudes towards organizational change. Employee Relations, 27(2), 160-174. https://doi.org/10.1108/01425450510572685
14. Struck, B., & Cannon, E. (2025, June 18). The number of transformational initiatives has skyrocketed. Here’s how yours can be in the minority that succeed. The Globe and Mail. https://www.theglobeandmail.com/business/careers/leadership/article-the-number-of-transformational-initiatives-has-skyrocketed-heres-how/
15. Self, D. & Schraeder, M. (2009). Enhancing the success of organizational change: Matching readiness strategies with sources of resistance. Leadership and Organization Development Journal. 30. 167-182. 10.1108/01437730910935765. 
16. Al-Haddad, S., & Kotnour, T. (2015). Integrating the organizational change literature: A model for successful change. Journal of Organizational Change Management, 28(2), 234–262. https://doi.org/10.1108/JOCM-11-2013-0215
17. Freeburn, T., & Myers, E. (2024, April 11). Most change management fails. Here’s how behavioural science can make the difference. Behavioural Insights Team (BIT). https://www.bi.team/comment/most-change-management-fails-heres-how-behavioural-science-can-make-the-difference/
18. Pinder, R., Sallis, A., Berry, D., & Chadborn, T. (2015, February). Behaviour change and antibiotic prescribing in healthcare settings Literature review and behavioural analysis. Public Health England - Department of Health. https://assets.publishing.service.gov.uk/media/5c4f3cf8ed915d7d3953d20e/Behaviour_Change_for_Antibiotic_Prescribing_-_FINAL.pdf
19. Hallsworth M, Chadborn T, Sallis A, Sanders M, Berry D, Greaves F et al (2016) Provision of social norm feedback to high prescribers of antibiotics in general practice: a pragmatic national randomised controlled trial. Lancet 387(10029):1743–1752. https://doi.org/10. 1016/s0140-6736(16)00215-4
20. Behavioural Economics Team of the Australian Government (2018) Nudge vs superbugs: a behavioural economics trial to reduce the overprescribing of antibiotics. Australian Government, Australia
21. Gold, N., Ratajczak, M., Sallis, A. et al. Provision of social-norms feedback to general practices whose antibiotic prescribing is increasing: a national randomized controlled trial. J Public Health (Berl.) 30, 2351–2358 (2022). https://doi.org/10.1007/s10389-021-01645-4
22. Ibarra, H., Rattan, A. & Johnston, A. (2018). Satya Nadella at Microsoft: Instilling a Growth Mindset. Harvard Business School.
23. Ibarra, H., Rattan, A. & Johnston, A. (2023). Session 3: Microsoft Case Summary. Harvard Business Publishing.
24. Liu, C. (2023, November 28). Culture Transformation at Microsoft: From “Know it all” to “Learn it all”. Harvard Business Publishing. https://www.harvardbusiness.org/wp-content/uploads/2023/11/Session-3_Microsoft-Case_HK_Caslin-Liu.pdf
25. Business Insider (2024). How Satya Nadella created a ‘learn‑it‑all’ culture at Microsoft to help it become a $3 trillion powerhouse.