For ambitious organisations undergoing constant transformations, change management is no longer a “nice-to-have” function; it’s a critical enabler for organisational success. As organisations face increasing complexity, digital transformation, and shifting market demands, the need for high-performing change management teams has never been greater. We see this not only in the increasing number of change management professionals hired year after year, but also in the number of organisations that have established change teams. Yet, building and leading such teams requires thoughtful planning, strategic alignment, and continuous development.
Let’s explores how senior change leaders can pragmatically approach the challenge of creating and sustaining high-performing change teams. We will address the critical components: delivering foundational value, aligning services with business priorities, assembling the right skills mix, demonstrating value to senior leaders, and nurturing the team’s growth and adaptability.
1. Getting the Bread-and-Butter Work Right
For any change management team, delivering on core responsibilities—what we might call “bread-and-butter” work—is non-negotiable. This foundational layer includes supporting initiatives through roles such as doer, advisor, and coach.
Why It Matters
Without effective delivery of these baseline activities, a change team risks being perceived as ineffectual, which can undermine its ability to gain organisational trust and expand its remit. For example, if a team fails to facilitate smooth transitions for a large ERP implementation, it will struggle to advocate for strategic roles like change portfolio management.
Best Practices
Role Fluidity: Team members should be adept at switching between executor, advisor, and coach, depending on project needs. For example:
Doer: Crafting communication plans or conducting impact assessments.
Advisor: Guiding project leaders on resistance management strategies.
Coach: Equipping sponsors with the skills to champion change.
Add Measurable Value: Clearly articulate the impact of core activities. Metrics such as adoption rates, speed-to-productivity post-change, and stakeholder satisfaction can demonstrate the team’s contribution to project success.
Collaborative Engagement: Build strong relationships with project managers, sponsors, and functional leaders. Their endorsement is crucial for long-term credibility.
2. Getting the Service Mix Right
While core delivery is essential, the broader range of services a change team offers can set it apart. However, not all services are equally valued by senior leaders, nor are they always aligned with organisational priorities.
Key Service Areas
Change Champion Network Development: Empowering a distributed group of advocates to reinforce change locally.
Change Project Delivery: Executing change management tasks within specific initiatives.
Change Deployment Coaching: Guiding teams during go-live phases to sustain momentum.
Change Leadership Development: Coaching leaders to embed change management as a core capability.
Communication Support: Ensuring timely, targeted, and transparent messaging.
Change Portfolio Management: Overseeing change impacts across initiatives to manage saturation and optimize benefits.
Governance Design: Establishing structures and processes to guide change effectively.
Aligning Services with Business Priorities
Consider these scenarios:
Agile Transformation: If agility is the organisational focus, the change team should specialize in scaled agile practices, supporting iterative delivery models and coaching on agile mindsets.
Change Saturation Management: In a heavily loaded initiative environment, prioritizing change portfolio management helps mitigate operational risks and ensures benefit realization.
Engage senior leaders to identify which services align most closely with the organisation’s strategic goals. This alignment ensures that the team’s contributions are recognized as essential rather than discretionary.
The Challenge of Over-Focusing on Methodology in Change Teams
Change management methodologies provide an essential foundation for developing a shared understanding of processes, tools, and best practices. They enable consistency, structure, and a degree of predictability in how change initiatives are supported. However, when change teams become overly focused on methodology, it can result in a rigid and insular approach that diminishes their ability to address the business’s most pressing challenges.
The Risks of Methodology-Driven Approaches
An excessive emphasis on methodology often shifts the team’s focus inward, prioritizing process perfection over business impact. This can manifest as an overuse of templates, theoretical frameworks, and “one-size-fits-all” solutions that fail to account for the nuances of the organisation or the unique demands of specific initiatives. For example, insisting on completing a detailed change impact assessment for every project, regardless of scale, can delay progress and frustrate stakeholders who need swift, actionable insights.
This insularity can also lead to a disconnect between the change team and business stakeholders. Leaders and teams on the ground may perceive the change team as out of touch with operational realities, focusing on delivering “change management artifacts” rather than practical solutions that address real-world challenges. In fast-paced or high-pressure environments, this misalignment risks eroding trust and marginalizing the change team’s role.
A Pragmatic Alternative: Stakeholder-Focused, Evidence-Driven Change
Rather than being bound by methodology, high-performing change teams adopt a business stakeholder-focused approach combined with evidence and data-driven practices. This pragmatic mindset places business needs at the centre, using methodology as a flexible guide rather than a rigid framework.
Stakeholder Focus: Engage directly with business leaders and teams to understand their priorities, pain points, and desired outcomes. For example, a senior leader driving a rapid digital transformation may value quick wins and adaptability over comprehensive documentation. Tailoring the approach to these needs ensures the change team delivers value where it matters most.
Evidence and Data-Driven Approaches: Leverage data to identify what works and where to focus efforts. For instance, analysing adoption metrics, employee feedback, and performance KPIs can guide targeted interventions that yield measurable benefits. This approach also reinforces credibility with data-driven executives who prioritize ROI and tangible outcomes.
Dynamic Flexibility: Treat methodologies as a toolkit rather than a blueprint. Select and adapt tools to fit the specific context, whether it’s a cultural shift requiring storytelling and leadership coaching or a technology rollout needing structured training and communication plans.
The Payoff
By balancing methodological discipline with a pragmatic, stakeholder-cantered approach, change teams can position themselves as indispensable partners to the business. They demonstrate agility, relevance, and an unwavering focus on delivering outcomes that matter most. This approach not only strengthens the team’s impact but also enhances its reputation as a value-adding function critical to organisational success.
3. Assembling the Right Skills Mix
High-performing change teams require a blend of tactical expertise and strategic acumen.
Skill Types and Their Roles
Doers: Strong executors who thrive on delivering tangible outputs such as plans, training materials, or stakeholder maps.
Strategists: Analytical thinkers who assess organisational readiness, map interdependencies, and develop long-term approaches.
Connectors: Relationship builders who excel in stakeholder engagement and influence.
Coaches: Practitioners skilled in developing leadership capabilities and fostering cultural shifts.
Team Composition Tips
Balance Is Key: A team overly focused on execution may miss strategic opportunities, while one that’s too strategic risks losing touch with operational realities.
Flexible Hiring Models: Use a mix of permanent staff and contractors to adjust capacity based on demand. For example, during a merger, bring in experienced change contractors to handle the surge in activity.
Cross-Skilling: Encourage team members to develop multiple capabilities. For instance, a project-focused doer can learn coaching techniques to support leadership development.
4. Demonstrating Value to Senior Leaders
A change management team’s success is often assessed by its ability to demonstrate value in ways that resonate with executives.
Why This Is Crucial
Senior leaders control the budget and influence the perception of the function. If the team’s impact is not clearly tied to organisational success, it risks being deprioritised, particularly in times of financial pressure.
Strategies for Executive Engagement
Speak Their Language: Frame the team’s contributions in terms of business outcomes—cost savings, faster time-to-market, or improved employee retention.
Example: Instead of stating, “We conducted 20 training sessions,” say, “Our training program resulted in a 30% reduction in time-to-productivity for new systems.”
Prioritize Strategic Contributions: Focus on high-impact services like change portfolio management, which directly affect operational resilience and benefit optimization.
Visualize Success: Use dashboards or scorecards to track and communicate metrics such as initiative adoption rates, change saturation levels, and benefit realization.
5. Nurturing, Motivating, and Developing the Team
Building a high-performing team is not a one-time effort; it requires ongoing attention to culture, engagement, and professional growth.
Key Practices
Measurement and Feedback: Regularly assess team performance through metrics, stakeholder feedback, and self-assessments. Use these insights to identify strengths and improvement areas.
Situational Leadership: Tailor your leadership style to the needs of individual team members.
Example: A novice practitioner may require hands-on guidance, while a seasoned professional benefits more from empowerment and strategic challenges.
Recognition and Reward: Celebrate successes—both individual and collective. Recognize achievements in team meetings, emails to leadership, or formal awards.
Development Opportunities: Invest in training, and cross-functional assignments. For example, a team member focused on project delivery could benefit from a course in portfolio management.
Foster Psychological Safety: Encourage open dialogue, idea-sharing, and risk-taking without fear of blame. This is critical for innovation and resilience during challenging periods.
6. Overcoming Common Challenges
Building and leading high-performing change teams is fraught with obstacles, but proactive strategies can mitigate these risks.
Challenge: Balancing Demand and Capacity
When multiple initiatives demand simultaneous support, the team can become overstretched.
Solution: Implement a tiered support model, where high-priority projects receive full support, and lower-priority ones get advisory services.
Challenge: Gaining Buy-In for Strategic Services
Executives may undervalue strategic offerings like change portfolio management.
Solution: Pilot a portfolio management framework for a specific division, demonstrate its benefits, and then scale.
Challenge: Retaining Talent in a Competitive Market
Experienced change practitioners are in high demand.
Solution: Foster a compelling employee value proposition, including career progression, meaningful work, and a supportive culture.
Case Study: Building a High-Performance Change Team During a Merger
Scenario: A global manufacturing company underwent a merger, leading to significant cultural and operational integration challenges.
Approach:
Core Delivery First: The team focused on ensuring smooth transitions for critical systems (ERP, payroll) to build credibility.
Strategic Pivot: As the merger progressed, they introduced a change portfolio management framework to coordinate initiatives and avoid saturation.
Tailored Skill Development: Team members received targeted training in M&A-specific change management, enhancing their ability to address unique challenges.
Executive Engagement: The team provided a dashboard linking adoption metrics to merger goals, securing ongoing leadership support.
Outcome: The team was recognised as a critical enabler of the merger, with their scope expanded to include leadership development for post-merger integration.
Building and leading a high-performance change management team is as much about strategy and alignment as it is about delivery and culture. By focusing on the foundational “bread-and-butter” work, aligning services with business priorities, fostering a balanced skills mix, demonstrating measurable value, and nurturing team growth, senior practitioners can create teams that are not only effective but indispensable to organisational success.
For those leading change teams, remember: your success is ultimately reflected in the impact you create for the business. Ensure your contributions are visible, valuable, and aligned with what matters most to your stakeholders.
Change management and clinical psychology, while seemingly distinct disciplines, share a foundational principle: both are focused on people and their ability to adapt, grow, and thrive through transitions. Change managers navigate organizational transformation, helping individuals and groups adjust to new realities, while clinical psychologists support individuals in addressing psychological challenges and fostering mental wellness. By exploring the practices of clinical psychologists, change managers can adopt a more evidence-based, empathetic, and tailored approach to managing change.
We delve into how clinical psychologists approach their work, highlighting principles and practices that can inform and enhance change management strategies.
Clinical Psychology: An Evidence-Based Practice
At its core, clinical psychology is deeply rooted in science. Clinical psychologists rely on evidence-based methods to understand, assess, and treat psychological issues. Their approach includes:
Assessment through Observation and Interviews
Clinical psychologists begin by observing symptoms and conducting detailed interviews to gain insights into an individual’s mental health. They evaluate not only the reported symptoms but also environmental and contextual factors influencing the individual’s well-being. This comprehensive assessment forms the basis for understanding the person’s unique situation.
Tailored Treatment Plans
Clinical psychologists craft individualized treatment plans based on their assessments. These plans are not static; they evolve based on the individual’s progress, feedback, and emerging needs. By constantly monitoring outcomes, they ensure the approach remains effective and relevant.
Cognitive-Behavioural Strategies
Cognitive-behavioural therapy (CBT) is a cornerstone of clinical psychology. It operates on two levels:
Cognitive: Addressing and reshaping unhelpful thought patterns that influence emotions and behaviours.
Behavioural: Directly targeting behaviours to create positive changes in day-to-day functioning.
These principles provide a structured yet flexible framework for guiding individuals toward improved mental health and well-being.
Parallels Between Clinical Psychology and Change Management
Change management, like clinical psychology, requires a nuanced understanding of human behaviour and a strategic approach to fostering adaptation. Here are key parallels and insights that change managers can draw from clinical psychology:
1. Evidence-Based Assessments
In organizational settings, change managers must assess the current state to identify potential challenges and opportunities. Borrowing from clinical psychology, they can develop a more scientific approach by:
Conducting interviews and surveys to understand employee concerns, resistance, and expectations.
Observing team dynamics and organizational culture to identify systemic barriers to change.
Analyzing environmental factors, such as stakeholder needs, organisational cultural traits and industry factors.
This evidence-based diagnostic process allows change managers to pinpoint issues with precision, ensuring their interventions are well-informed and targeted.
2. Tailored Change Strategies
Just as clinical psychologists create personalized treatment plans, change managers should design strategies tailored to their organization’s specific needs. This involves:
Recognizing that one-size-fits-all approaches rarely succeed in complex organizational ecosystems.
Customizing interventions based on the unique characteristics of teams, departments, and leadership styles.
Adapting strategies dynamically as new challenges arise or as feedback is gathered during implementation.
For example, a department struggling with resistance to new technology may require hands-on coaching and reassurance, while another may benefit more from open forums for dialogue and feedback.
3. Focus on Cognitive and Behavioural Dimensions
Cognitive-behavioural strategies in clinical psychology offer valuable insights for managing change.
Cognitive Aspect:
Change often triggers fear, uncertainty, and doubt. By addressing these thought patterns, change managers can help individuals reframe their perspectives. For example:
Communicating the benefits of change in clear, relatable terms to counteract negative assumptions. Position the change in a way that helps to inspire people and encourage them to come onboard the change process
Offering opportunities for employees to voice their concerns, fostering a sense of control and participation.
Behavioural Aspect:
Behavioural change is essential for successful adaptation. Change managers can:
Encourage new behaviours through positive reinforcement, such as recognition programs. Other methods include leader or champion role modelling, measurement and feedback.
Provide practical tools and resources to help employees adopt new processes or technologies.
By targeting both cognition and behaviour, change managers can facilitate deeper, more sustainable transformations.
Applying Clinical Psychology Principles in Change Management
To effectively integrate the principles of clinical psychology into change management, practitioners should consider the following actionable steps:
Step 1: Conduct a Holistic Assessment
Use diagnostic tools such as stakeholder analysis, employee sentiment surveys, and readiness assessments to gather comprehensive data.
Identify key influencers, potential resistors, and systemic issues that may impact the change effort.
Step 2: Develop a Personalized Approaches
Segment stakeholders based on their unique needs, roles, and levels of impact. Use personas where helpful to gain deeper sense of preferences, challenges and needs.
Design interventions that align with these segments. For example, senior leaders may require coaching on communication strategies, while frontline employees might benefit from hands-on workshops.
Step 3: Monitor and Adjust Strategies
Implement feedback loops to track progress and outcomes.
Use data analytics and qualitative feedback to tweak strategies as needed. For instance, if resistance persists, additional engagement sessions, leader encouragement or communication campaigns might be warranted.
Step 4: Foster Constructive Cognition
Encourage employees to view change as an opportunity for growth rather than a threat. Using a cognitive behavioural approach, ‘constructive self-talk’ can be utilised to be positioned as communication phrases (as well as leader or change champion talking guides) and positioning to influence how employees think about the change. Positive behaviours should also be acknowledged, role modelled and reinforced by leaders.
E.g. Rather than employees feeling like “here is another change that we need to go through that will mean we are busier and need to work longer”, use communication phrases such as “we are making it easier for our customers” or “we are contributing to reducing the complexity through this new process” at a level that targeted employee groups can connect to.
Share success stories and celebrate small wins to build momentum and confidence.
Step 5: Prioritize Emotional Well-Being
Recognize the emotional toll that significant change can take. Identifying the emotions that employee groups are feeling is the first step (as distinct from what they are thinking or saying). Offer resources such as coaching, change champion or peer support groups, or group workshops. Equip leaders with the skills to provide empathetic support to their teams.
Also, take holistic approach to look at the change environment for impacted stakeholders and assess the change loading can reveal potential risks in people capacity challenges that could derail the change.
Case Study: Clinical Psychology-Inspired Change Management
Consider an organization undergoing a major digital transformation. Employees are required to adopt new technologies, shift workflows, and learn new skills. Resistance is high, with many expressing anxiety and frustration.
Step 1: Assessment
A series of focus groups and surveys reveal that employees feel unprepared and fear obsolescence. Leaders recognize a culture of risk aversion and limited digital literacy.
Step 2: Tailored Strategy
Based on these insights, the change management team implements a phased approach:
Cognitive: Town halls and internal campaigns highlight the long-term benefits of digital transformation, such as enhanced job security and efficiency.
Behavioural: Practical workshops and mentoring programs are introduced to build digital skills incrementally.
Step 3: Monitoring and Adaptation
As the rollout progresses, feedback indicates a need for additional hands-on support. The team introduces digital “help desks” and assigns technology champions in each department.
Step 4: Celebrating Wins
Early adopters are recognized through an internal awards program, creating positive reinforcement for desired behaviours.
The result? A smoother transition, increased adoption rates, and improved employee confidence in navigating the change.
Challenges and Considerations
While clinical psychology offers valuable lessons, change managers must adapt these principles to fit organizational contexts. Key considerations include:
Balancing individual and collective needs. While clinical psychology focuses on individuals, change management must address both individual and group dynamics.
Recognizing limitations in time and resources. Unlike therapy, organizational change often operates within tight deadlines and budgets.
Navigating power dynamics and politics inherent in organizational settings.
By being mindful of these challenges, change managers can apply clinical psychology principles effectively and pragmatically.
The synergy between clinical psychology and change management offers a powerful toolkit for navigating the complexities of human behaviour during change. By adopting evidence-based assessments, tailoring strategies, and leveraging cognitive-behavioural insights, change managers can foster more effective and sustainable transformations. Ultimately, integrating these principles enhances not only the success of change initiatives but also the well-being of the individuals and teams at their core.
Change adoption is the heart of every change practitioner’s work. It’s the primary measure of whether a change initiative truly succeeds, yet, surprisingly, many organizations still fail to adequately track, measure, and manage change adoption. Without a clear understanding of how well end-users are adopting the change, it’s nearly impossible to gauge the initiative’s real impact on the business. Change adoption must be both intentional and managed, not just assumed.
If you search for change adoption on Google the top articles seem to refer to the same things. These include transition preparation, communication, training and support. The top 2 articles are by Whatif and Walkme and seem to emphasise the importance of in-app training products they offer. The Prosci article emphasise the ADKAR model on the other hand.
While common strategies for change adoption—such as communication, training, and support—are essential, these are foundational steps and not the complete formula for sustained adoption. There’s a nuanced spectrum of factors that contribute to adoption, including the type of change, the stakeholders, the organization’s capacity for change, measurement metrics, and performance management. The following insights explore these core factors and share practical strategies, bolstered by real-world examples, to help change practitioners improve adoption rates across their organizations.
1. Understanding the Type of Change
The nature of the change plays a significant role in determining how to drive adoption. A change can range from a simple update in process to a fundamental shift in behaviour, and this range requires different approaches:
– Simple Changes : Minor changes, like a new software feature or a small process tweak, may only need a basic communication update. For instance, consider an HR team implementing a new self-service portal for employees to access their pay stubs. In this case, a simple email announcement explaining how to access the feature, along with a short tutorial video, might be all that’s required to ensure adoption.
– Complex, Behavioural Changes : For more complex changes that impact behaviours or workflows, adoption strategies need to be more involved. Imagine an organization implementing a new performance review system that shifts from annual reviews to ongoing, quarterly feedback sessions. This type of change isn’t just procedural—it demands a shift in how employees and managers think about performance. Here, communication alone won’t be sufficient. It requires ongoing training, leadership modeling, reinforcement through feedback loops, and alignment with performance metrics. Regular team meetings can serve as a platform for leaders to showcase the change, while role-playing sessions can help embed the new behaviours.
Analogy : Think of the change type as similar to cooking different dishes. For a quick salad, all you need is the right ingredients and a bowl to toss them in. For a complex dish like a soufflé, you’ll need precise measurements, specific tools, and careful monitoring to ensure it doesn’t collapse. The type of change similarly determines the level of preparation and intervention required.
2. Tailoring Strategies to Stakeholder Types
Understanding your end-users or stakeholders—those directly impacted by the change—is crucial. Each group will have different engagement channels and needs, which means you can’t rely on a one-size-fits-all communication plan. To drive adoption, you need to deliver information in ways that resonate with each audience.
– Identify Effective Channels : For example, one team may prefer to discuss updates in weekly meetings, while another may respond better to monthly town hall sessions. When a global retail company rolled out a new inventory management system, the change team customized its communication and training by region. Regional managers were empowered to communicate the changes in a way that suited their teams’ preferences, whether that meant team huddles, newsletters, or one-on-one conversations. As a result, the change was embraced much more readily because each team felt that the approach was tailored to their needs.
– Build Change into Routine Communication : To make the change part of the team’s daily workflow, leverage existing channels, like monthly business reviews or quarterly updates. For instance, if sales teams have weekly performance meetings, consider incorporating brief updates about how the change (such as a new CRM feature) can benefit their sales process, along with success stories from team members.
Analogy : Think of stakeholder engagement as similar to hosting a dinner party. You wouldn’t serve the same meal to every guest without considering their preferences. Similarly, change practitioners need to “serve” the change in ways that appeal to each stakeholder group’s tastes and communication preferences.
3. Aligning with Organisational Change Capacity
Change capacity—the organization’s ability to absorb and adopt change—is a critical but often overlooked factor. The timing of introducing new changes matters, especially when the change is complex. If an organization is already handling multiple projects or transformations, adding another initiative can result in resistance or “change fatigue.”
– Manage Competing Priorities : Suppose a financial services company is simultaneously upgrading its internal software, launching a new customer-facing app, and implementing a data security compliance initiative. Launching yet another change, like a new employee recognition program, may overwhelm employees, who may deprioritize it in favour of what they perceive as more urgent projects. Change practitioners should work closely with program managers to prioritize initiatives and strategically phase them to avoid saturation.
– Change Portfolio Management : Treat change initiatives as part of a portfolio. By actively managing this portfolio, you can ensure changes are introduced in waves that the organization can absorb. Regularly review the status of active changes with stakeholders to reassess the capacity and timing. This way, your adoption efforts won’t be diluted by other competing projects.
Analogy : Imagine trying to load groceries into an already-full refrigerator. Some items will fit, but others might have to wait. The same concept applies to organizational change capacity—only so much can fit into the organization’s “refrigerator” at once before things start falling out.
4. Defining and Measuring Adoption Metrics
Effective change adoption strategies hinge on clear metrics. Without defined adoption goals and measurement tools, it’s difficult to determine if users are actually embracing the change or merely checking boxes. Metrics will vary depending on the change and should be relevant to the behaviours or outcomes desired.
– Set Clear Adoption Metrics : For example, a company introducing a new collaborative software might measure adoption through the frequency of use, the number of shared documents, or the volume of cross-departmental activity within the platform. Each of these metrics helps track actual usage and determine if employees are using the tool to its full potential.
– Gauge Awareness, Willingness, and Competency : Assess and understand stakeholder readiness for the change at hand. Do they have the awareness, motivation and know-how for the new expected behaviours? Conduct regular surveys or feedback sessions to assess where teams are on the adoption curve. This approach can highlight areas where additional support is needed, such as more coaching or stronger reinforcement from leadership.
Analogy : Think of adoption metrics like the gauges in a car’s dashboard. Each gauge (speed, fuel, engine temperature) provides specific insights into the car’s overall performance, just as adoption metrics give insights into how well a change is taking hold within the organization.
5. Ongoing Performance Management for Sustained Adoption
Adoption isn’t a “one and done” effort. It requires continuous management, monitoring, and, ideally, integration into performance management. By tracking and reinforcing adoption metrics over time, organizations can keep the change front and centre and drive deeper, lasting adoption.
– Incorporate Adoption into KPIs : Align adoption goals with KPIs to maintain visibility. For example, if the goal is to increase the use of a project management tool, set a KPI that tracks project updates within the tool. Managers can be held accountable for meeting this KPI, incentivizing their teams to incorporate the tool into their workflow.
– Regular Check-Ins and Feedback: Use data-driven insights to adjust your strategy as needed. For instance, if certain teams lag in adoption rates, consider arranging tailored training sessions or conducting one-on-one interviews to understand the barriers they’re experiencing. Continuous feedback loops allow change practitioners to refine their approach based on real-time adoption data. Performance needs to be constantly nurtured, reinforced and managed. No ‘set and forget’ approach will work.
Analogy: Sustaining adoption is like maintaining a healthy habit. Just as regular exercise requires motivation, tracking, and routine check-ins to stay consistent, ongoing performance management helps ensure that change remains a part of the organizational fabric.
Data as the Catalyst for Improved Change Adoption
Data-driven insights are game-changers for change adoption. They enable change practitioners to move beyond guesswork and implement strategies with measurable, predictable results. By leveraging analytics, organizations can identify successful tactics based on stakeholder type, change type, and historical adoption patterns.
For example, by analyzing adoption data from previous projects, a technology company could discover that smaller, incremental training sessions worked better for developers than day-long sessions. This insight could inform future adoption strategies and improve the likelihood of success for similar changes.
Utilizing data to understand what drives adoption allows change practitioners to apply these learnings across the organization, achieving more consistent and reliable outcomes. Through correlation and prediction, organizations can anticipate which approaches will work best for each type of change and tailor their strategies accordingly.
This is exactly what we’ve been doing at The Change Compass. We’ve incorporated automation and AI to provide data insights that tell you what tactics and approaches work to maximise change adoption based on data. You can also drill into what works for particular stakeholders, business units and types of changes. Data insights can also inform what volume of change may stifle change adoption.
Designing change approach and interventions should not be guess work. So far, companies try to enhance their rates of change adoption success by hiring change management specialists, together with stakeholder feedback. However, the most senior stakeholder or those with the loudest voice in the room don’t always get the outcome. These are still based on opinions, versus what has proven to work based on data. Imagine the power of implementing this across the enterprise and the ability to avoid costly mistakes and mishaps in the tens (or hundreds) of millions of investments in change initiatives per annum.
Building a Culture of Adoption
Improving change adoption is not a one-time effort but an ongoing, intentional process that combines targeted communication, stakeholder engagement, capacity planning, performance tracking, and data-driven insights. By focusing on the unique aspects of each change, tailoring strategies to specific stakeholder groups, and continuously managing performance, change practitioners can significantly increase adoption rates. Ultimately, success lies in building a culture where change is not just accepted but actively integrated into the organization’s DNA.
When change adoption becomes a measurable, manageable, and data-driven process, practitioners can guide their organizations through change with confidence and clarity, transforming resistance into resilience and integration into innovation.
In the world of scaled agile, “Release on Demand” is a concept that has profound implications for agile teams and their project approaches. It guides teams on how to release and deliver value when stakeholders and customers are truly ready to receive it. However, a crucial, often-overlooked factor in this concept is the role of change management. While Release on Demand has primarily been framed as a technical approach within the Scaled Agile Framework (SAFe), the readiness of people—including end-users, stakeholders, customers, and partners—forms an equally vital part of determining the demand for release.
As change management practitioners, understanding and actively shaping “Release on Demand” can significantly impact project outcomes. In this article, we’ll explore how change management can enhance this core SAFe concept through strategic timing, prioritisation, and thoughtful execution of each release. We’ll also discuss how to structure governance cadences to ensure operational and people readiness, going beyond the technical lens.
Understanding Release on Demand in SAFe
Within SAFe, Release on Demand means that project outputs or new functionality are delivered when the organisation, teams, and stakeholders are ready to adopt and benefit from it. It enables flexible delivery rather than a rigid release schedule. The four key activities for Release on Demand are:
Release – Delivering the product or change to users.
Stabilise and Operate – Ensuring the release is operationally sound and running smoothly.
Measure and Learn – Assessing the release’s impact and learning from the results.
Adjust – Making necessary improvements based on insights gained.
The goal of these activities is to minimise risk, gather user feedback, and optimise the release to maximise impact. While these steps seem straightforward, they demand thoughtful change management to ensure all stakeholders are prepared to support, use, and benefit from the release. Let’s delve deeper into how a change management approach can strengthen each of these activities.
People Readiness as the Core Demand Factor
The “demand” for a release is often misunderstood as being purely about project or market readiness. However, the reality is that it depends on multiple factors, including how ready people are to adopt the change. For any release to succeed, people readiness is crucial and requires focus on:
End-User Readiness: Ensuring that end-users are prepared for the new tools, processes, or functionalities. This could mean conducting user training, crafting support resources, and managing expectations.
Stakeholder Readiness: Stakeholders at all levels need to understand the change, its rationale, and its anticipated impact. This may involve regular briefings, updates, and even individual consultations.
Customer and Partner Readiness: For customer-facing or partner-facing releases, it’s essential to gauge external readiness as well. A clear communication plan and alignment of goals with partners or clients can smooth the path for a successful launch.
These readiness efforts form a significant part of the “demand” in Release on Demand and reflect the reality that people’s capacity to adapt often determines when a release will be genuinely effective.
The Broader Change Landscape
People readiness isn’t only determined by a single project or team but by the broader change landscape within an organisation. Multiple changes or ongoing initiatives can either enhance or inhibit readiness for a new release. For instance, if an organisation is already undergoing a significant digital transformation, adding another change may lead to overload and resistance.
Change practitioners should map the change landscape to identify concurrent changes and evaluate how these may impact readiness for Release on Demand. By assessing the timing and impact of other changes, change managers can:
Avoid change fatigue by spacing out initiatives.
Synchronize related changes to reduce redundancy.
Communicate the overall strategic direction to help stakeholders and users understand how individual changes fit into the bigger picture.
By accounting for these interdependencies, change management can improve people readiness and ensure the Release on Demand aligns with the organisation’s capacity to handle it.
Applying the Four Key Steps in Release on Demand
Let’s explore how change management activities can amplify each of the four Release on Demand steps:
1. Release: The release phase requires both technical and people preparation. Beyond deploying the technical elements, change management practitioners should:
Develop targeted communication plans to inform all affected stakeholders.
Offer targeted training sessions or resources that build users’ confidence and competence.
Ensure adequate support is in place for the transition, including help desks or peer mentoring.
2. Stabilise and Operate: After a release, it’s crucial to monitor adoption and support operational stability. The change team can:
Collect feedback from end-users and support staff on initial challenges and address these promptly.
Identify and celebrate quick wins that demonstrate the release’s value.
Work closely with operations teams to resolve any unforeseen issues that may inhibit adoption or cause frustration.
3. Measure and Learn: This step goes beyond tracking technical metrics and should also capture change-specific insights. Change management can contribute by:
Conducting surveys, interviews, or focus groups to gauge user and stakeholder sentiment.
Monitoring adoption rates and identifying any training gaps or knowledge shortfalls.
Collaborating with product or project teams to share insights that may refine or prioritisation subsequent releases.
4. Adjust: Based on insights gained from the Measure and Learn phase, change managers can advise on necessary adjustments. These might include:
Refining future communication and training plans based on user feedback.
Addressing any gaps in stakeholder support or sponsorship.
Adjusting the timing of subsequent releases to better align with people readiness.
The iterative nature of these four steps aligns well with agile methodologies, allowing change managers to continuously refine and enhance their approach.
The Critical Role of Sequencing, Prioritisation, and Timing
For change management practitioners, Release on Demand isn’t just about executing steps—it’s about doing so in the right sequence and at the right time. The impact of a release depends significantly on when it occurs, who is prepared for it, and how well each group’s readiness aligns with the release cadence.
Here are some tips to help change managers get the timing right:
Analyze stakeholder engagement levels: Regularly assess how engaged and ready stakeholders are, tailoring messaging and interventions based on their feedback and sentiment.
Prioritisation change activities based on impact: Not all releases will have the same impact, so change teams should focus resources on those that require the most user readiness efforts.
Create phased rollouts: If full-scale readiness across the board isn’t achievable, a phased rollout can provide users with time to adapt, while allowing the change team to address any emergent issues in stages.
By managing the release cadence thoughtfully, change managers can avoid the disruptions caused by hasty releases and ensure the deployment feels both manageable and meaningful for users.
Release governance in SAFe is often perceived as a predominantly technical or project-focused process. However, effective governance should encompass business operations and people readiness as well. Change management plays a pivotal role in designing governance cadences that account for these critical aspects.
To integrate change governance within release governance, change practitioners should:
Establish clear communication channels with project teams and product owners to ensure people readiness factors are consistently part of release discussions.
Implement a readiness checklist that includes technical, operational, and people readiness criteria. This checklist should be reviewed and signed off by relevant stakeholders before any release.
Maintain a cadence of review and feedback sessions where project teams, change managers, and stakeholders discuss readiness progress, key risks, and post-release outcomes.
This approach ensures that each release is evaluated from multiple perspectives, minimising disruption and maximising its potential for success.
The above is from Scaledagileframework.com
Developing a Change Cadence that Complements Agile Delivery
SAFe’s principle of “develop on cadence; release on demand” is central to effective agile delivery. For change management practitioners, developing a strong change cadence is equally important. This cadence, or rhythm of activities, aligns with the agile teams’ development cadence and helps build stakeholder momentum, maintain engagement, and reduce surprises.
Here’s how to develop a cadence that works in tandem with agile teams:
Planning Cadence: Hold regular planning sessions to align change activities with upcoming releases and identify readiness gaps. This could be quarterly for major releases or bi-weekly for smaller, iterative releases.
Execution Cadence: Establish a reliable cycle for change interventions, such as training, communication, and stakeholder meetings. This cadence helps stakeholders build expectations and fosters a predictable rhythm in change activities.
Feedback Cadence: Collect feedback at consistent intervals, aligning it with release intervals or sprint reviews. Consistent feedback keeps the change process agile and responsive to evolving needs.
A well-defined change cadence not only prepares users effectively but also reinforces trust and transparency in the change process.
Release on Demand may have originated as a technical concept within SAFe, but its success is deeply tied to how well people, stakeholders, and users are prepared for each release. For change management practitioners, Release on Demand is an opportunity to enhance the broader release process by prioritizing people readiness, orchestrating thoughtful sequencing, and establishing governance that prioritisations user success as much as project outcomes.
By proactively engaging in each of the four stages of Release on Demand—Release, Stabilise and Operate, Measure and Learn, and Adjust—change management can ensure releases are not just technically ready but fully integrated into the people and business context they serve. Embracing this role allows change managers to become essential partners in agile delivery, maximising the impact of each release for end-users, the organisation, and the overall success of the project.
Change management practitioners are often tasked with ensuring that transitions are smooth and successful. However, to truly excel in this role, it’s crucial to embrace a systems thinking approach—an understanding that organisations are complex, interconnected systems where every change can create ripple effects throughout. One of the most potent tools for fostering systems thinking is the use of change data within change portfolio management. Here, we will focus on how change data can build interconnectedness across the organisation, enhance the management of change initiatives, and ultimately improve business results.
Understanding Systems Thinking
The below are some of the core principles in Systems Thinking and how they may be applied to change portfolio management through data and analysis.
Principle 1: Interconnectedness
At the core of systems thinking is the principle of interconnectedness. Organisations are not merely a collection of individual parts; rather, they consist of various components that interact in complex ways. When change is initiated in one area, it can have unintended consequences in another. For instance, a change in the sales strategy might impact customer service processes, employee motivation, and even supply chain operations. By recognising these interconnected relationships, practitioners can make more informed decisions that take the broader organisational context into account.
In fact, change impact assessment is the process of identifying and ascertaining the linkages across the system. With each change, the various impacts across different processes, people working to support those processes and the systems involved in the processes.
Principle 2: Feedback Loops
Another fundamental aspect of systems thinking is the identification and understanding of feedback loops. These loops can be either reinforcing (positive) or balancing (negative). A reinforcing feedback loop occurs when a change in one part of the system leads to further changes in the same direction, creating a cycle of growth or enhancement. For example, an increase in employee training may lead to improved performance, which in turn boosts morale and reduces turnover, further enhancing overall productivity.
Conversely, balancing feedback loops act to stabilize the system. They can dampen the effects of change, preventing extremes from occurring. Recognising these feedback mechanisms allows practitioners to leverage positive feedback loops to enhance desired outcomes while being vigilant against the negative loops that may emerge, which could undermine the change initiatives.
Here is an example of a feedback loop –
Goal: Prevent stagnation or failure by adjusting strategies based on real-time feedback.
Use case: Ensuring that deviations or resistance are managed effectively to keep the change on track.
How it works:
Collect data from employee surveys, performance metrics, and feedback sessions to understand what’s working or not.
Identify points of resistance and take corrective actions (e.g., additional training or clarifying leadership vision).
Example: If employees express frustration with new tools, gather input and refine the rollout to address concerns.
What are key benefits of feedback loops?
Increased adaptability: Ensures the organisation can react to unforeseen challenges during implementation.
Engaged workforce: Employees feel more involved when they see their feedback incorporated into the process.
Sustainable change: Continuous feedback ensures that change efforts stay relevant, preventing them from losing momentum or being abandoned.
Principle 3: Causality
Systems thinking also emphasizes understanding causality—how different components of the organisation influence one another. This perspective is vital in change management, as it shifts the focus from merely addressing symptoms of problems to exploring their root causes. This can be applied throughout the change lifecycle ranging from understanding the impacts across the organisation, through to anticipating resistance and motivation levels to support the change.
Here is an example of applying the principle of causality in systems thinking
Change Initiative: Implementing a New KPI-Based Evaluation System
Initial Cause: Leaders decide to replace the existing subjective performance reviews with measurable KPIs to improve accountability.
Direct Effect: Employees shift their focus to achieving their KPIs.
This change seems positive—employees now have clear, measurable targets to meet.
Ripple Effects Across the System:
Short-term unintended outcome: Employees may begin to focus only on achieving their KPIs, ignoring tasks that are not directly rewarded, such as collaboration or innovation.
Behavioural impact: Some employees might feel micromanaged or disengaged if they view the new system as rigid or unfair.
Team dynamics: Competitive behaviour between employees could increase, reducing collaboration and creating silos.
Long-term Causal Feedback:
Lower collaboration can negatively affect innovation and employee morale, leading to attrition of high performers.
A balancing feedback loop emerges when HR notices a decline in collaboration scores and recommends revising KPIs to include teamwork-related metrics.
Principle 4: Holistic Perspective
Adopting a holistic perspective is crucial in systems thinking. Instead of viewing the organisation as a set of isolated parts, practitioners should consider the organisation as a dynamic whole. This approach enables better problem-solving and decision-making by considering all relevant factors and their interactions. A holistic view facilitates a deeper understanding of how changes in one area may impact others, ultimately leading to more sustainable and effective change initiatives.
For example, An organisation is running several parallel initiatives under a broader digital transformation effort, including:
CRM System Implementation
Agile Ways of Working Initiative
Cloud Migration for Core IT Systems
Employee Upskilling Program on Digital Tools
Application of Holistic Perspective
Identifying Interdependencies
The CRM system needs to integrate with both legacy IT infrastructure and future cloud platforms.
The agile transformation affects how teams work, influencing the success of the CRM project and cloud migration by demanding faster collaboration cycles.
The upskilling program needs to ensure employees are trained not only in new digital tools but also on agile practices and cloud-based platforms.
Avoiding Initiative Silos
Without a holistic view, each project might focus only on its own goals, causing schedule conflicts (e.g., IT resources are overbooked for the cloud migration and CRM deployment).
Teams might experience change fatigue if initiatives are rolled out simultaneously without coordination. For example, employees may struggle to participate in the upskilling program while also meeting deadlines for the agile rollout.
Portfolio-Level Governance and Prioritization
Using a holistic lens, the portfolio management team can sequence projects logically. For example:
First: Migrate critical systems to the cloud to ensure the CRM implementation has a stable foundation.
Second: Begin the agile transformation to align working methods before launching cross-functional CRM initiatives.
Third: Schedule employee upskilling to ensure readiness before key milestones in the CRM and cloud projects.
Optimizing Resources and Reducing Risks
Viewing the portfolio holistically allows management to optimize resource allocation (e.g., sharing skilled IT personnel across cloud and CRM projects efficiently).
By aligning initiatives, the company mitigates the risk of conflicting efforts and reduces change fatigue through coordinated communication and engagement plans.
Principle 4: Emergence
Finally, the concept of emergence in systems thinking highlights how complex behaviours can arise from simple interactions among components. The principle of emergence in systems thinking refers to the idea that when individual elements interact, new patterns or behaviours emerge that were not predictable by examining the parts alone. In change portfolio management, this means that the outcomes of managing multiple change initiatives may be different—often more complex or unexpected—than the sum of each individual change project. Emergent behaviours can create both opportunities and risks.
Scenario: Managing a Sustainability Transformation Portfolio
A large organisation launches several interconnected initiatives to become a more sustainable enterprise:
Carbon Reduction Initiative – Shift to renewable energy and reduce emissions.
Sustainable Supply Chain Project – Engage suppliers on environmental standards.
Green Product Innovation Program – Develop eco-friendly products.
Employee Engagement Initiative – Promote green behaviours among employees.
Application of Emergence
Unexpected Synergies Emerge
Employees participating in the engagement initiative start identifying operational inefficiencies, such as excess waste, leading to additional cost savings.
The green product innovation program creates a culture of experimentation that spills over into other departments, resulting in improved collaboration and faster innovation cycles across the organisation, beyond sustainability-focused efforts.
Emergent Risks and Complex Interactions
Suppliers struggling to meet new sustainability requirements may delay the sustainable supply chain project, impacting both product launches and company operations.
Employees feel overwhelmed by the number of sustainability programs and resist further change, creating unexpected resistance that spreads to unrelated initiatives, such as digital transformation efforts.
New Opportunities Emerge from Interactions
As cross-functional teams work together, new business models emerge. For example, sales and product teams discover that green products appeal to a new customer segment, leading to revenue growth opportunities not originally anticipated in the change portfolio plan.
Collaborations with suppliers in the supply chain project uncover the potential for joint ventures focused on sustainable technology.
It may not be possible to forecast or anticipate all types of employee behaviours and reactions to new changes introduced. However, engaging your stakeholders and involving them in the change process may help you identify these in advance.
The Role of Change Data in Building Systems-Thinking Within Change Portfolio Management
Change portfolio management involves overseeing a collection of change initiatives and ensuring that they align with the organisation’s strategic objectives. The integration of change data into this process can significantly enhance systems thinking capabilities.
Creating a Data-Driven Culture
One of the first steps in leveraging change data is to establish a data-driven culture. Practitioners should promote the importance of data in decision-making processes across the organisation. By providing visibility of the changes that are upcoming, they can empower employees at all levels to utilize change data in their daily work. This cultural shift fosters an environment where data becomes a common language, allowing for clearer communication about changes and their potential impacts. However, do note that different type of employees may require different type of data.
Mapping Change Initiatives
Using change data, organisations can create visual maps of their change initiatives. These maps can illustrate how different initiatives are interconnected and highlight the dependencies between them. For example, a visual representation can show how a new software implementation relies on training programs or how changes in one department may impact others. By visualizing these relationships, practitioners can better assess the potential ripple effects of changes and make more informed decisions.
Monitoring and Analysing Feedback Loops
By actively monitoring change data, organisations can identify and analyse feedback loops in real-time. This ongoing analysis allows practitioners to quickly respond to emerging trends or unintended consequences. For instance, if data shows a decline in employee productivity following a process change, practitioners can investigate and implement corrective actions before the situation worsens. By understanding these feedback loops, organisations can not only react to changes but also proactively shape their outcomes.
Causal Analysis
Incorporating change data into causal analysis enables organisations to identify the root causes of issues. Practitioners can use data analytics to explore the relationships between different components of the organisation, leading to a clearer understanding of how changes impact various outcomes. This data-driven approach allows for more targeted interventions, ensuring that efforts are directed towards addressing the underlying issues rather than merely treating surface-level symptoms.
Holistic Change Portfolio Assessment
When practitioners evaluate their change portfolio, they should adopt a holistic approach that considers the interplay between various initiatives. By analysing change data in aggregate, organisations can identify patterns and trends that may not be visible when examining initiatives in isolation. This holistic assessment allows practitioners to prioritise initiatives that align with broader organisational goals, ultimately leading to more effective change management.
Fostering Collaborative Environments
Change data can also be a catalyst for fostering collaborative environments. By sharing insights and findings from change initiatives, organisations can create a culture of collaboration where teams learn from one another’s experiences. This exchange of information can lead to emergent solutions that drive innovation and improve change outcomes. Additionally, collaborative tools and platforms can be leveraged to facilitate communication and knowledge sharing across departments.
Building Connectedness Across the Organisation
The integration of change data into change portfolio management fosters interconnectedness within the organisation. By emphasising the importance of data and encouraging collaboration, practitioners can create a more cohesive organisational culture that embraces change.
Enhancing Communication
Clear communication is essential for effective change management. Change data provides a foundation for transparent communication about initiatives and their impacts. Practitioners can use data visualizations and reports to communicate progress, challenges, and successes, fostering a sense of shared understanding across the organisation.
Breaking Down Silos
Change data can also help break down silos within the organisation. By sharing data and insights across departments, practitioners can encourage collaboration and foster a sense of unity. This interconnectedness enhances problem-solving capabilities, as diverse teams bring different perspectives to the table, leading to more innovative solutions. Issues may be pre-empted if stakeholders can pick up on impacts that may be missed for example.
Aligning Goals and Objectives
When change initiatives are informed by change data, it becomes easier to align goals and objectives across the organisation. Practitioners can use data to ensure that all initiatives are working towards the same strategic objectives, reducing the likelihood of conflicting priorities. This alignment creates a more focused approach to change management, ultimately leading to improved business results.
Improving Business Results Through Systems Thinking
The application of systems thinking through change data in change portfolio management can lead to substantial improvements in business results. By fostering interconnectedness, enhancing communication, and breaking down silos, organisations can create a more agile and responsive environment.
Increased Agility
Organisations that embrace systems thinking and utilize change data are better equipped to respond to changes in the external environment. By understanding the interconnectedness of their initiatives, practitioners can pivot quickly in response to emerging trends or challenges. This agility is essential in today’s fast-paced business landscape.
Enhanced Employee Engagement
When employees see their work as part of a larger, interconnected system, they are more likely to feel engaged and motivated. By involving employees in the change process and using data to demonstrate the impact of their contributions, organisations can foster a sense of ownership and commitment to change initiatives.
Improved Decision-Making
Systems thinking promotes better decision-making by encouraging practitioners to consider the broader context of their actions. When decisions are informed by change data, organisations can identify potential consequences and make choices that align with their strategic goals. This improved decision-making ultimately leads to more successful change outcomes.
Sustainable Change Initiatives
Finally, the application of systems thinking and change data can lead to more sustainable change initiatives. By focusing on root causes, leveraging feedback loops, and fostering collaboration, organisations can implement changes that are not only effective in the short term but also sustainable over time. This sustainability is crucial for long-term business success.
Change data is a powerful lever that change management practitioners can use to foster systems thinking within their organisations. By recognising the interconnectedness of change initiatives, understanding feedback loops, exploring causality, adopting a holistic perspective, and nurturing environments for emergence, organisations can improve their approach to change management. Through these efforts, practitioners can build connectedness across the organisation, ultimately enhancing how change is managed and driving improved business results. Embracing systems thinking in change portfolio management is not just a best practice; it’s a necessity for organisations seeking to thrive in an ever-evolving business landscape.
