Change management is an intricate dance between vision, strategy, execution, and perhaps most importantly, adoption. The ultimate goal of any change initiative is not merely to implement new systems, processes, or regulations but rather to embed these changes into the very fabric of the organization, ensuring widespread adoption and long-term sustainability.
Adoption metrics provide the critical tools organizations use to measure how well individuals embrace these changes, how behaviours evolve over time, and ultimately, how the change initiative impacts business outcomes. In this comprehensive guide, you will discover essential adoption metrics, principles of effective measurement, practical strategies for monitoring behaviours, and how to build dashboards that deliver actionable insights.
What Are Change Management Adoption Metrics?
Change management adoption metrics are quantifiable indicators that help organizations track the extent to which employees, teams, and other stakeholders successfully embrace and sustain changes introduced by transformation initiatives.
These metrics go beyond superficial indicators like training attendance or initial rollout success. Instead, they focus on meaningful outcomes that show real adoption, including:
User engagement rates: How actively users interact with new systems or processes.
Feature usage: Frequency and depth at which specific tools or functions are utilized.
Retention rates: Sustained use over time, indicating lasting adoption.
Behavioural compliance: Adherence to new workflows, policies, or regulatory behaviours.
Customer feedback: External perceptions of service or product improvements due to change.
Tracking these metrics allows organizations to understand adoption success, spotlight issues early, and continuously refine change strategies to drive greater impact.
Fundamental Principles of Measuring Adoption
Context Matters
Every change initiative is unique. Different organizational cultures, leadership styles, industries, and change scopes mean no two adoption measurement approaches are identical. Tailoring metrics to align with your initiative’s objectives, stakeholder dynamics, and organizational readiness ensures relevance and maximizes insights.
Focus on Outcomes
Effective adoption metrics focus on measuring outcomes and impact rather than just tracking inputs or activities. For example, instead of simply counting training session attendance, measure whether the training led to proficiency improvements, behaviour changes, or feature activations.
Continuous Monitoring
Adoption isn’t a one-time milestone but an ongoing process. Continuously monitoring adoption metrics over the lifecycle of the change initiative helps detect drops or resistance early, allowing course corrections before issues become entrenched.
Use Multiple Data Sources
Triangulate data across system logs, surveys, interviews, observations, and feedback channels. Combining quantitative system metrics with qualitative insights from stakeholders gives a holistic view of adoption progress.
Measure at Multiple Levels
Track adoption metrics at individual, team, process, and organizational levels to understand how change permeates through various layers and identify bottlenecks or champions.
Key Adoption Metrics for System Implementations
System implementation projects, such as rolling out a new CRM, ERP, or productivity tool, often represent significant organizational investments. Measuring adoption effectively is vital to ensure these investments deliver value.
Below are the most impactful metrics to track:
System Feature Usage Frequency
This metric measures how often different features of the new system are used by employees. High usage of core functionalities indicates engagement and proficiency, while low usage signals training or usability gaps.
Example: Track daily active users (DAU) leveraging key features and compare to expected adoption benchmarks.
Process Efficiency Gains
Measure improvements in process cycle times, throughput rates, and resource utilization resulting from system adoption. Efficiency gains indicate that new workflows powered by the system are being embedded effectively.
Example: Average time to complete a sales order before and after system launch.
Customer Conversation Audit
For systems impacting customer interactions (e.g., customer service platforms), auditing conversations for quality and completeness helps track whether adoption translates to better client experiences.
Example: Percentage of calls with complete data logged, sentiment improvement metrics.
Sales Volume Changes
Tracking changes in sales or revenue post-implementation demonstrates the monetary impact of system adoption. Correlate with feature usage and process compliance data for deeper insights.
Example: Monthly sales growth percentage compared to prior periods.
Information Completeness
Quantify how well the system captures comprehensive and accurate data. High data quality supports better decisions and downstream workflows.
Example: Percent of customer records with complete contact and interaction histories.
Customer Satisfaction Scores
Survey customers on their experience after the system adoption to assess satisfaction gains linked to the change.
Example: Net Promoter Score (NPS) or customer satisfaction index before and after rollout.
Pro Tips for System Implementation Metrics
Segment metrics by user roles and departments to identify adoption disparities.
Focus on the critical few features driving business outcomes rather than every system capability.
Use adoption trend charts over time rather than static snapshots for better story-telling with data.
Key Adoption Metrics for Compliance Initiatives
Compliance initiatives are critical for organizations to meet regulatory standards, industry certifications, or internal policies. Measuring adoption here ensures risks are minimized and consistent behaviours are embraced.
Process Compliance
This metric tracks adherence to defined regulatory processes and standards. High compliance levels reflect successful adoption of mandatory behaviours.
Example: Percent of audit checklist items fully completed within prescribed timelines.
Rated Compliance of Targeted Behaviours
Evaluate employee compliance with specific prescribed behaviours affected by regulatory changes. This can be measured through self-assessments, manager evaluations, or external audits.
Example: Percentage of staff consistently applying new data privacy protocols.
Frequency of Team Leader Coaching
Track how often supervisors provide coaching and reinforcement of compliance behaviours. Regular coaching boosts awareness and accountability.
Example: Number of coaching sessions conducted per month per team.
Customer Feedback on Compliance
Collect feedback from customers or clients regarding their experiences with the organization’s compliance posture post-change.
Example: Customer ratings on service adherence to privacy and security standards.
Number of Incidents
Monitoring incidents related to non-compliance serves as an early warning system to detect gaps before they escalate.
Example: Incident count reduction trend over quarters after policy rollout.
Key Adoption Metrics for Restructuring Initiatives
Restructuring initiatives, such as mergers, realignments, or downsizing, profoundly impact employee morale and organizational performance. Analytics here help assess adoption and foster alignment with new structures.
Employee Engagement and Morale
Measure changes in engagement and morale through surveys, interviews, and focus groups pre- and post-restructuring.
Example: Employee Net Promoter Score (eNPS) variations over the restructuring timeline.
Organizational Alignment
Evaluate how well the restructuring aligns with strategic objectives by tracking KPIs like revenue growth, market share, and customer satisfaction.
Example: Changes in strategic goal attainment percentages post-merger integration.
Communication Effectiveness
Assess clarity, frequency, and impact of communication during restructuring via employee feedback.
Example: Percent of employees rating communication as clear and timely.
Employee Productivity and Performance
Monitor turnover rates, absenteeism, and performance evaluations over time to understand restructuring impact on workforce productivity.
Example: Decrease in voluntary turnover six months post-restructuring.
Leadership Effectiveness
Gather employee ratings of leadership communication, decisiveness, and supportiveness during change.
Example: Improvement in leadership trust scores in post-restructuring surveys.
Team Dynamics and Collaboration
Evaluate collaboration metrics and cross-functional cooperation to identify strengths and weaknesses impacting adoption.
Example: Frequency of cross-team projects and collaboration tool usage statistics.
Implementing and Measuring Adoption Metrics
Successfully measuring adoption requires a disciplined approach:
Define Clear and Measurable Objectives: Identify behaviour changes and outcomes critical for the initiative’s success. Set quantifiable goals aligned with these objectives.
Select Relevant Metrics: Choose metrics that are actionable, observable, and tied directly to desired behaviours or outcomes.
Utilize Multiple Data Sources: Collect data from system logs, surveys, interviews, observations, and feedback to get a comprehensive picture.
Monitor Progress Continuously: Establish real-time dashboards or regular reporting cadences to track trends and detect issues.
Provide Timely Feedback and Support: Deliver actionable insights to managers and change agents to reinforce positive behaviours or address gaps.
Iterate and Adapt: Use ongoing insights to refine measurement approaches and adoption strategies dynamically.
Measuring Micro-Behaviours in System Implementations
Micro-behaviours are the small, observable actions employees take that directly influence successful adoption at the operational level. Measuring these gives deeper insight than high-level outcomes alone.
User Interface Navigation
Track how proficiently employees navigate new software, including time taken to complete tasks and error rates. Frequent help requests indicate areas of friction.
Example Metric: Average clicks to complete a key transaction; number of help desk tickets per task.
Data Entry Accuracy
Measure precision and completeness of data input, reflecting adherence to new standards and training effectiveness.
Example Metric: Percent of customer records flagged for errors or omissions.
Workflow Integration
Assess usage of new tools in daily work routines compared to legacy processes.
Example Metric: Ratio of transactions processed via new system vs. manual methods.
Collaboration and Knowledge Sharing
Monitor participation in collaborative platforms, document sharing, and informal knowledge networks.
Example Metric: Number of active contributors to shared knowledge bases.
Adoption of Best Practices
Track compliance with recommended workflows and procedures designed to optimize new systems.
Example Metric: Rate of adherence to standardized templates or checklists.
Change Agent Engagement
Measure the involvement of designated change champions in driving adoption through training, communications, and peer support.
Example Metric: Frequency of training sessions led; engagement survey ratings for champions’ effectiveness.
Pro Tips for Micro-Behaviour Metrics
Combine quantitative data with qualitative input (e.g., feedback from change champions) to contextualize numbers.
Use micro-behaviour metrics to diagnose root causes of adoption issues quickly.
Highlight micro-behaviours as actionable areas rather than abstract outcomes for clearer communication with teams.
How Many Adoption Metrics Should You Track?
When it comes to measuring behaviour change in change initiatives, the old adage “less is more” is especially true. While it’s tempting to track a multitude of metrics to capture every nuance, focusing on the critical few behaviours that drive the greatest impact is essential for clarity and actionable insights.
Focus on Key Objectives
Start by identifying the core outcomes your change initiative aims to achieve — whether increased system usage, improved compliance, enhanced morale, or customer satisfaction. Align your metric selection tightly to these objectives.
Prioritize High-Impact Behaviours
Narrow down to a manageable set of metrics that capture the behaviours most likely to influence success. Typically, 8 to 15 core metrics, carefully grouped by outcome area, strike a good balance.
Consider Manageability and Data Availability
Avoid overwhelming your teams or diluting focus by tracking too many metrics. Ensure selected metrics are feasible to collect accurately and regularly.
Use Both Quantitative and Qualitative Metrics
Combine objective data (completion rates, error counts, usage stats) with qualitative insights (surveys, interviews) for a rich, holistic measurement approach.
Account for Interdependencies
Recognize that behaviours are interconnected; changes in one area may affect others. Select metrics that capture key interactions or cascading effects when possible.
Brand Alignment and Voice Recommendations
Maintain a clear, authoritative but approachable tone aimed at practitioners and organizational leaders.
Use customer-centric language that emphasizes measurable outcomes and business value.
Reference reputable frameworks and expert perspectives (such as Prosci) to build trust and credibility while showcasing your unique comprehensive metric approach.
Align terminology clearly across all change management topics to reinforce consistency.
Integrate and explicitly reference existing infographics or tables to maintain visual continuity and ease of understanding.
Infographic and Visual Asset Preservation
The article contains key infographics summarizing metrics across major initiative categories:
System Implementation Metrics
Compliance Metrics
Restructuring Metrics
Micro-behaviour Metrics
Ensure all metric names and groupings in the text match these visuals perfectly to allow reuse without redesign. Link explicitly to these assets when discussing metric groups to reinforce learning and support presentations.
Change adoption dashboard
Now that you have determined exactly what you want to measure to drive adoption, you may want to create a dashboard. Check out our article on ‘Designing a Change Adoption Dashboard’.
What Is a Change Adoption Dashboard?
It’s a visual tool combining key adoption metrics, trends, and warnings into a single pane of glass, allowing leaders and change agents to monitor progress in real time.
Change adoption is the ultimate goal of any change initiative, and effective measurement of adoption metrics is key to integrating change into daily lives and achieving a product’s success. By understanding the dynamics of change adoption and the user journey, selecting the right metrics, and implementing them effectively, change practitioners and product managers can navigate the complexities of change and drive meaningful outcomes for their organizations. Remember, adoption is not a destination but a journey, and with the right metrics and strategies in place, sustainable change is within reach.
To find out more about leveraging a digital platform to create a change adoption dashboard click the below to chat to us.
Change management is an intricate dance between vision, strategy, execution, and perhaps most importantly, adoption. The ultimate goal of any change initiative is not merely to implement new systems, processes, or regulations, but rather to embed these changes into the very fabric of the organization, ensuring widespread adoption and long-term sustainability.
However, achieving full adoption is no small feat. Many change initiatives falter along the way, failing to garner the buy-in and commitment necessary for success. Even when adoption is initially achieved, sustaining it over time presents its own set of challenges.
Frequently Asked Questions (FAQ)
1. What are the most important adoption metrics in change management?
The most important metrics vary by initiative but generally include user engagement, behavioural compliance, feature usage, retention rates, and customer satisfaction.
2. How do you measure user adoption of a new system?
Measure system feature usage frequency, process efficiency improvements, support ticket trends, and user satisfaction surveys.
3. How do you track behaviour change in employees?
Use a combination of observational data, manager assessments, compliance audits, and micro-behaviour tracking such as task completion accuracy.
4. How many change adoption metrics should organizations track?
Focus on 8 to 15 core metrics aligned with your primary objectives to avoid overwhelm and maximize impact.
5. What tools can I use to build a change adoption dashboard?
Platforms like The Change Compass provide integrated solutions for automated data collection, visualization, and alerting tailored to adoption measurement.
6. How does continuous monitoring improve change adoption?
It allows early detection of issues and timely interventions, preventing small problems from undermining overall adoption success.
How can understanding the change adoption curve benefit organizations?
Understanding the change adoption curve benefits organizations by identifying how different individuals or groups respond to change. By recognizing these stages—innovators, early adopters, early majority, late majority, and laggards—companies can tailor their strategies to enhance communication, support, and ultimately improve the success of change initiatives.
Measuring change adoption is one of the most important parts of the work of change practitioners. It is the ultimate ‘proof’ of whether the change interventions have been successful or not in achieving the initiative objectives. It is also an important way in which the progress of change management can clearly be shown to the project team as well as to various stakeholder groups. The ability to show clearly the progress of change outcome is critical to focus your stakeholders’ actions on the right areas. It is one of the key ways to ‘prove your worth’ as a change practitioner.
Measurement takes time, focus and effort. It may not be something that is a quick exercise. There needs to be precise data measurement design, a reliable way of collecting data, and data visualisation that is easily understood by stakeholders.
With the right measurements of change adoption, you can influence the direction of the initiative, create impetus amongst senior stakeholders, and steer the organisation toward a common goal to realise the change objectives. Such is the power of measuring change adoption.
The myth of the change management curve
One of the most popular graphs in change management, and often referred to as the ‘change curve’, is the Kubler-Ross model that outlines the stages of personal transition. The model was specifically designed by psychiatrist Elisabeth Kubler-Ross to refer to terminally ill patients as a part of the book ‘On Death and Dying’. For whatever reason, it has somehow gained popularity and application in change management, making it crucial to be very careful when applying this model to address potential adoption barriers in a change context.
There is little research evidence to back this up even in psychological research. When applied in change management, there is no known research that supports this at all. So be careful when you come across models such as this one that is simple and seem intuitively ‘correct’, as they may overlook stakeholders’ voices and input, which can lead to new ideas. On the other hand, there is ample research by McKinsey that shows the best way for effectively managed initiatives and transformations is that stakeholders do not go through this ‘valley of death’ journey at all.
If the ‘change curve’ is not the correct chart to follow with regard to change adoption, then what is the right one to refer to? Good question.
The ‘S’ curve of change adoption is one that can be referenced. It is well backed in terms of research from technology and new product adoption. It begins with a typically slow start followed by a significant climb in adoption followed by a flattened level at the end. Most users typically do not uptake the change until later on.
Here is an example of key technologies and the speed of adoption in U.S. households since the 1900s.
With the different types of change contexts, the shape of the S curve will be expected to differ as a result. For example, you are working on a fairly minor process change where there is not a big leap in going from the current process to the new process. In this case, the curve would be expected to be a lot more gentle since the complexity of the change is significantly less than adopting a complex, new technology.
On the other hand, if you are working on many iterative agile changes, each iteration that impacts users may be a small S curve in themselves. Ideally, each iteration work together towards a greater piece of overarching change.
Going beyond what is typically measured
Most change practitioners are focused on measuring the easier and more obvious measures such as stakeholder perceptions, change readiness, and training completion. Whilst these are of value, they in themselves are only measuring certain aspects of the change process. They can be viewed as forward-looking indications of the progress that supports moving toward eventual change adoption, versus the eventual change adoption.
To really address head-on the topic of measuring adoption of new products, it is critical to go beyond these initial measures toward those elements that indicate the actual change in the organisation, especially focusing on early adopters. Depending on the type of change this could be system usage, behaviour change, following a new process or achieving cost savings targets.
Project Benefit realization
It goes without saying that to really measure change adoption the change practitioner must work closely with the project manager to understand in detail the benefits targeted, and how the prescribed benefits will be measured. The project manager could utilise a range of ways to articulate the benefits of the project. Common benefit categories include:
Business success factors such as financial targets on revenue or cost
Product integration measures such as usage rate
Market objectives such as revenue target, user base, etc.
These categories above are objectives that are easier to measure and tangible to quantify. However, there could also be less tangible targets such as:
Competitive positioning
Employee relations
Employee experience
There could be various economic methods of determining the targeted benefit objectives. These include payback time or the length of time from project initiation until the cumulative cash flow becomes positive, or net present value, or internal rate of return on a new tool.
Employee capability
Customer experience
There could be various economic methods of determining the targeted benefit objectives. These include payback time or the length of time from project initiation until the cumulative cash flow becomes positive, or net present value, or internal rate of return.
The critical aspect for change practitioners is to understand what the benefit objectives are, how benefit tracking will be measured and to interpret what steps are required to get there. These steps include any change management steps required to get from the current state to the future state.
Here is an example of a mapping of change management steps required in different benefit targets:
Increased customer satisfaction and improved productivity through implementing a new system. | Users able to operate the new system.Users able to improve customer conversations leveraging new system features.Users proactively use the new system features to drive improved customer conversations.Managers coaching and provide feedback to usersBenefit tracking and communications.Customer communication about improved system and processesDecreased customer call waiting time . | % of users passed training test.System feature usage rate.Customer issue resolution time.User feedback on manager coaching.Monthly benefit tracking shared and discussed in team meetings.Customer satisfaction rate. Customer call volume handling capacity.
Measuring behavioural change
For most change initiatives, there is an element of behaviour change, especially for more complex changes. Whether the change involves a system implementation, changing a process or launching a new product, behaviour change is involved. In a system implementation context, the behaviour may be different ways of operating the system in performing their roles. For a process change, there may be different operating steps which need to take place that defers from the previous steps. The focus on behaviour change aims to zoom in on core behaviours that need to change to lead to the initiative outcome being achieved.
How do we identify these behaviours in a meaningful way so that they can be identified, described, modelled, and measured?
The following are tips for identifying the right behaviours to measure:
Behaviours should be observable. They are not thoughts or attitudes, so behaviours need to be observable by others
Aim to target the right level of behaviour. Behaviours should not be so minute that they are too tedious to measure, e.g. click a button in a system. They also should not be so broad that it is hard to measure them overall, e.g. proactively understand customer concerns vs. what is more tangible such as asked questions about customer needs in XXX areas during customer interactions.
Behaviours are usually exhibited after some kind of ‘trigger’, for example, when the customer agent hear certain words such as ‘not happy’ or ‘would like to report’ from the customer that they may need to treat this as a customer complaint by following the new customer complaint process. Identifying these triggers will help you measure those behaviours.
Achieve a balance by not measuring too many behaviours since this will create additional work for the project team. However, ensure a sufficient number of behaviours are measured to assess benefit realisation
Measuring micro-behaviours
Behaviour change can seem over-encompassing and elusive. However, it may not need to be this. Rather than focusing on a wide set of behaviours that may take a significant period of time to sift, focusing on ‘micro-behaviours’ can be more practical and measurable. Micro-behaviours are simply small observable behaviours that are small step-stone behaviours vs a cluster of behaviours.
For example, a typical behaviour change for customer service reps may be to improve customer experience or to establish customer rapport. However, breaking these broad behaviours down into small specific behaviours may be much easier to target and achieve results.
For example, micro-behaviours to improve customer rapport may include:
User the customer’s name, “Is it OK if I call you Michelle?”
Build initial rapport, “How has your day been?”
Reflect on the customer’s feeling, “I’m hearing that it must have been frustrating”
Agree on next steps, “would it help if I escalate this issue for you?”
Each of these micro-behaviours may be measured using call-listening ratings and may either be a yes/no or a rating based assessment.
After having designed the right measurement to measure your change adoption, the next step would be to design the right reporting process. Key considerations in planning and executing on the reporting process includes:
Ease of reporting, you should aim to automate where possible to reduce the overhead burden and manual work involved. Whenever feasible leverage automation tools and in-app options to move fast and not be bogged down by tedious work
Build expectations on contribution to measurement. Rally your stakeholder support so that it is clear the data contribution required to measure and track change adoption
Design eye-catching and easy to understand dashboard of change adoption metrics.
Design reinforcing mechanisms. If your measurement requires people’s input, ensure you design the right reinforcing mechanisms to ensure you get the data you are seeking for. Human nature is so that whenever possible, people would err on the side of not contributing to a survey unless there are explicit consequences of not filling out the survey.
Recipients of change adoption measurement. Think about the distribution list of those who should receive the measurement tracking. This includes not just those who are in charge of realising the benefits (i.e. business leaders), but also those who contribute to the adoption process, e.g. middle or first-line managers.
Example of change adoption dashboard from Change Automator
Measuring Adoption Across Initiatives
You may be driving multiple initiatives as a part of a large program or a portfolio of initiatives. The key challenge here is to establish common adoption measures that are apple-to-apple metrics comparisons across initiatives. Yes, each initiatives will most likely have different sets of what constitutes adoption. However, there are still common ways to report on adoption across initiatives such as overall percentage of adoption of identified adoption elements, or percentage of the number of milestones reached. You can also utilise manager reports of behaviours adopted, as well as system records of utilisation of certain features for example.
Understanding change adoption is not only helpful to understand what works for one initiative, it can also be a linchpin to help you scale change adoption across change initiatives across your whole portfolio. Talk to us to find out more about how The Change Compass, a digital adoption platform, can help you understand what change interventions lead to higher change adoption rates in the flow of work, through data. Using a data-led approach in deciphering what drives change adoption can truly drive successful change outcomes.
Measuring behaviours as a part of change adoption is a key part of effective change management, ensuring the full achievement of initiative benefits and helping practitioners understand whether impacted stakeholders are truly moving toward the future state. Behaviour change, particularly in domains like physical activity and health behavior, has been the subject of significant empirical research, with findings published in major outlets like Google Scholar. To design behaviour change interventions and select the right behaviours to measure, change practitioners should take a structured approach, informed by research findings and practical experience. There are different approaches to effective measurement and we explore some of these.
Selecting the Right Behaviours to Measure
Start with a clear understanding of the initiative’s objectives, the current state, the complexity of the change, different impacts, the change approach, target behaviours, and the quantum of the change being introduced. Not every behaviour is equally important; focus on the key elements most closely tied to initiative success and the full adoption of behaviours required for the future state.
Consider the impacted person’s perspective toward the desired future state: What will they have to do differently? From adopting new physical behaviours (such as physical effort required in physical activity interventions) to changes in decision-making or collaboration, choose behaviours that best reflect actual change, not just awareness or intent.
Prioritize observable and measurable actions. Research suggests that reminders of events or structured prompts can support behaviour change, but measuring the visible results of these reminders—such as compliance rates, social norm adherence, or reduction in social deviance—is essential for meaningful metrics.
Design and Measurement Considerations
Resist the heavy design of change interventions that lead to measurement overload. Simplicity and ease of understanding are crucial, both for those being measured and those collecting the data.
Draw from behavioral change frameworks supported by significant empirical research. For example, a Stanford professor’s work on social norm dynamics highlights how aligning behaviours with group expectations—rather than just individual compliance—can create more durable change.
Integrate measurement as part of a series of change interventions. Behaviour rarely shifts overnight; structured reinforcement, monitoring, and feedback, as supported by research findings, are necessary for full adoption.
Best Practice Tips
Use multiple sources of data: direct observation, self-reports, digital analytics, and reminders of events all have roles in robust measurement systems.
Anchor behaviour change efforts to broader elements like organizational culture (social norms) and systems for monitoring and feedback, to sustain behavioural change and minimize social deviance.
Apply the old adage, “what gets measured, gets managed,” but with the right focus—select measures tightly linked to initiative success.
Ultimately, successful behaviour change – and its measurement – depends on aligning the structured approach of change management with an empathy for the impacted person’s journey. Choosing the right behaviours to measure, grounded in significant empirical research and designed for ease of understanding, supports not only the full achievement of initiative benefits but also continuous improvement for future state readiness
Whilst there could be a wide range of different behaviours depending on the initiative in concern, what are some of the tips in selecting the right behaviours to measure?
Check out our infographic on the top 4 elements to pay attention to when measuring behaviours as a part of change adoption metrics. Also check out Dr BJ Fogg’s model (Stanford University) on effective behaviour change.
Level 1: Air Traffic Control—Establishing Oversight and Laying the Foundation
Seasoned transformation and change practitioners know the challenge: senior leaders are rarely interested in “change training” but are critical to the success of your change portfolio. Their engagement, understanding, and decision-making set the tone for the entire organization. The question is not how to send them to a course, but how to build their change literacy in a way that is practical, relevant, and embedded in their business agenda.
Here we explore a pragmatic approach to developing senior leaders’ maturity in managing a portfolio of change. In Level 1, we focus on the “Air Traffic Control” phase—establishing initial oversight, surfacing key data, and creating the conditions for informed leadership.
Why Change Literacy Matters at the Top
For senior leaders change portfolio literacy is more than understanding the mechanics of change management. For senior leaders, it’s about:
Seeing the full landscape of change across the business.
Understanding the cumulative impacts on people, operations, and strategy.
Making informed decisions on priorities, pace, and resource allocation.
Without this literacy, leaders risk overwhelming teams, missing strategic opportunities, and failing to deliver on business benefits. The stakes are high: the volume and velocity of change in most organizations today mean that “flying blind” is not an option.
The Air Traffic Control Phase: Creating Oversight and Clarity
The first step in building change literacy is not education—it’s exposure. Like an air traffic controller, senior leaders must be able to see all the “planes in the sky” before they can direct traffic safely and efficiently.
Key Objectives in This Phase:
Establish visibility of all change initiatives.
Surface capacity constraints and people impacts.
Create a shared language and baseline understanding of change activity.
1. Map the Change Landscape
Start by working with your PMO, HR, and transformation teams to create a comprehensive map of all current and upcoming change initiatives. This should include:
Tip: Visual tools such as rollout timelines, calendars, or dashboards are invaluable. They help leaders “see the forest for the trees” and spot potential collisions or overloads.
2. Quantify Capacity and Performance
Next, introduce data on organizational capacity and people performance:
How many initiatives are impacting each business unit?
Where are the pinch points in terms of workload, skills, or engagement?
What is the current state of change fatigue or readiness?
This data grounds the conversation in facts, not anecdotes. It also begins to shift the mindset from project-by-project thinking to portfolio-level oversight.
3. Connect to Business Priorities
Senior leaders are motivated by what’s on their agenda: strategic goals, operational performance, risk, and efficiency/growth. Frame the change portfolio in these terms:
Which initiatives are directly tied to strategic objectives?
Where are there conflicts, duplication, or misalignment?
What are the risks to business performance if changes are poorly sequenced or resourced?
By connecting change data to business outcomes, you make the conversation relevant and urgent.
4. Facilitate the Right Conversations
Rather than presenting data for its own sake, design conversations that help leaders make better decisions:
Where do we need to slow down or pause initiatives to protect capacity?
How can we sequence changes to maximize benefits and minimize disruption?
What trade-offs are required to align with strategic priorities?
These discussions are not about “managing change” in the abstract—they are about running the business more effectively in a complex, dynamic environment.
Practical Tools and Techniques
Change Portfolio Dashboards: Develop a simple, regularly updated dashboard that shows all active changes, status, impacts, and risks. Use visuals to highlight hotspots and interdependencies.
Capacity Charts: Map initiatives against business units and timeframes to show where overload is likely.
Impact Assessments: Brief, high-level assessments of each initiative’s impact on people, processes, and performance.
Monthly Portfolio Reviews: Establish a regular cadence for reviewing the change portfolio with senior leaders, focusing on decision points and resource allocation.
Common Pitfalls and How to Avoid Them
Information Overload: Don’t drown leaders in detail. Focus on key data that supports business decisions.
Siloed Views: Ensure your portfolio view cuts across functions and business units, not just projects within a single area.
Lack of Follow-through: Initial visibility must lead to action—adjusting priorities, reallocating resources, or sequencing initiatives differently.
Building Change Literacy: What Success Looks Like
At the end of the Air Traffic Control phase, senior leaders should:
Have a clear, shared view of all change activity across the business.
Understand where capacity and performance risks lie.
Be able to make informed decisions on sequencing, prioritization, and resource allocation.
Begin to use a common language for discussing change impacts and trade-offs.
Level 2: Change Outcome Ownership—Moving from Oversight to Strategic Leadership
In Level 1, we explored how to help senior leaders achieve “air traffic control”—a clear, shared view of the change landscape and organizational capacity. This foundational oversight is essential, but it’s only the beginning. True change literacy means senior leaders move beyond monitoring activity to taking ownership of change outcomes. This is where their leadership can make the greatest difference.
In Level 2, we’ll look at how to guide senior leaders through this shift. You’ll learn how to help them balance the key levers of change, drive accountability for results, and embed change leadership into the heart of business decision-making.
Why Outcome Ownership Matters
Oversight is about knowing what’s happening. Ownership is about making it happen—delivering the intended benefits, minimizing disruption, and ensuring people are ready and able to perform in the new environment.
When senior leaders own change outcomes, they:
Balance competing priorities: Weighing speed, capacity, business resources, and strategic impacts.
Make informed trade-offs: Deciding where to invest, delay, or accelerate change.
Drive accountability: Ensuring that business leaders—not just project teams—are responsible for adoption and benefits realization.
This is the difference between passive sponsorship and active leadership.
Key Levers for Senior Leaders in Change Outcome Ownership
To build change literacy at this level, focus on five critical levers:
1. Pace and Sequencing
Senior leaders must understand that the pace of change is not just about speed to market—it’s about sustainable adoption. Too much, too fast leads to fatigue and failure; too slow risks losing momentum or competitive advantage.
How to build this lever:
Use data from your change portfolio dashboard to model different sequencing options.
Facilitate scenario planning sessions: “What if we delayed Project X by three months? What would that mean for Project Y and for our people?”
Encourage leaders to weigh the trade-offs between urgency and readiness.
2. Capacity and Resource Allocation
Change does not happen in a vacuum. It requires people, time, and attention—often the same resources needed for business-as-usual.
How to build this lever:
Present clear data on resource constraints and competing demands.
Help leaders see the hidden costs of overloading teams (e.g., increased turnover, reduced engagement).
Support them in making tough calls about where to focus and where to pause or stop initiatives.
3. Business Impact and Strategic Alignment
Not all changes are created equal. Leaders must be able to distinguish between “must-have” and “nice-to-have” initiatives, and ensure alignment with strategic goals.
How to build this lever:
Map each change initiative to strategic priorities and measurable business outcomes.
Use impact assessments to highlight dependencies, risks, and potential synergies.
Challenge leaders to articulate the “why” behind each major change.
4. Readiness and Adoption
Successful change is not just about delivering a project—it’s about ensuring people are ready, willing, and able to work in new ways.
How to build this lever:
Introduce simple readiness assessments for key initiatives.
Share data on adoption rates, feedback, and engagement from previous changes.
Encourage leaders to actively sponsor and communicate about change, not just delegate to project teams.
5. Change Leadership Behaviours
Change literacy is not just a set of skills—it’s a mindset and a set of behaviours. Senior leaders must model the change they want to see.
How to build this lever:
Provide feedback on visible leadership behaviours (e.g., presence in town halls, openness to feedback, willingness to address resistance).
Celebrate and recognize leaders who demonstrate effective change leadership.
Offer targeted coaching or peer learning opportunities focused on change leadership, not just management.
Designing the Right Conversations
At this stage, your role is to facilitate strategic, action-oriented conversations that help leaders take ownership. Some practical approaches:
Portfolio Decision Forums: Regular sessions where leaders review the change portfolio, assess progress, and make decisions on sequencing, resourcing, and prioritization.
Benefit Realization Reviews: Focused discussions on whether intended outcomes are being achieved and what adjustments are needed.
Readiness Deep Dives: Sessions that explore the “people side” of major changes—what’s working, what’s not, and what support is required.
Your job is not to provide all the answers, but to ask the right questions and surface the data that supports informed decision-making.
Practical Tools and Approaches
Scenario Planning Templates: Help leaders visualize the impact of different sequencing or resourcing decisions.
Change Impact Matrices: Map initiatives against strategic goals, business units, and risk factors.
Adoption Dashboards: Track key metrics such as training completion, usage rates, and employee sentiment.
Leadership Action Plans: Simple templates for leaders to track their own change leadership commitments and follow-through.
Common Pitfalls and How to Avoid Them
Defaulting to Project Thinking: Keep the focus on business outcomes, not just project milestones.
Avoiding Tough Trade-offs: Encourage honest discussion about what can be realistically achieved with available resources.
Assuming Readiness: Challenge optimistic assumptions and use data to surface real readiness risks.
What Success Looks Like
When senior leaders move from oversight to ownership, you’ll see:
Active engagement in change portfolio decisions: Leaders are not just reviewing reports—they are making and owning the trade-offs.
Clear accountability for outcomes: Business leaders, not just project teams, are responsible for adoption and benefits.
Greater alignment between change activity and business strategy: Initiatives are sequenced and resourced to deliver on strategic priorities.
Visible leadership behaviours: Leaders are modelling the change, communicating openly, and supporting their teams through transition.
Ownership of change outcomes is the hallmark of mature change leadership. It’s where leaders move from monitoring activity to driving results—and where the real value of your change portfolio is realized.
Level 3: Best Practice—Tracking Benefits, Embedding Adoption, and Managing Change Risks
Having guided senior leaders from initial oversight (“air traffic control”) through outcome ownership, the final phase in building change literacy is embedding best practice. This is where change becomes a core capability—measured, managed, and continuously improved. Senior leaders who reach this stage are not just managing change; they are shaping a culture of agility, resilience, and sustained business value.
What Best Practice Looks Like
In this phase, senior leaders:
Track and realize the benefits of change initiatives.
Monitor and drive adoption, not just implementation.
Proactively manage growth, people, and operational risks.
Balance pace, capacity, and business priorities for ongoing agility.
Model and reinforce change leadership behaviours across the organization.
This is the point where change literacy becomes organizational muscle memory.
1. Tracking Benefits and Adoption
Why it matters: Delivering change is not success—realizing the intended benefits is. Too often, organizations declare victory at go-live, only to find that new systems, processes, or behaviours are not embedded.
How to build this capability:
Define clear success metrics: Establish measurable KPIs for each initiative, linked directly to business outcomes (e.g., increased revenue, reduced cycle time, improved customer satisfaction).
Adoption dashboards: Track usage, compliance, and behavioural indicators, not just technical completion. For example, monitor system logins, process adherence, or customer feedback.
Regular benefit realization reviews: Schedule post-implementation checkpoints (e.g., 30, 60, 90 days) to assess progress against targets and identify gaps.
Close the loop: Use data to drive action—adjust training, communications, or incentives if adoption lags.
Evaluation allows leaders to assess the change initiative’s success, identify improvement areas, and make necessary adjustments for long-term sustainability.
2. Managing Growth, People, and Operational Risks
Why it matters: As the portfolio of change grows, so do the risks—overload, fatigue, competing priorities, and operational disruption. Best practice is about anticipating and mitigating these risks, not reacting after the fact.
How to build this capability:
Risk heatmaps: Maintain a live view of risk hotspots across the change portfolio—where are people stretched, where is performance dipping, where are critical dependencies (including operational ones)?
Scenario planning: Regularly test the impact of new initiatives or shifts in strategy on existing capacity and priorities.
Feedback mechanisms: Create channels for employees and managers to surface risks early—through surveys, forums, or direct leader engagement.
Agility reviews: Encourage leaders to adjust plans, pause, or re-sequence changes based on real-time data and feedback.
3. Embedding Change Leadership Behaviours
Why it matters: The most successful change programs are led from the top. Senior leaders must consistently model the behaviours they expect—transparency, adaptability, resilience, and empowerment.
How to build this capability:
Visible sponsorship: Leaders must remain active and visible throughout the change lifecycle, not just at launch. Their ongoing engagement is the single strongest predictor of success.
Transparent communication: Leaders should share progress, setbacks, and lessons learned openly, reinforcing trust and credibility.
Openness to feedback: Encourage leaders to listen, adapt, and act on input from all levels of the organization.
Recognition and reinforcement: Celebrate teams and individuals who exemplify change leadership, embedding these behaviours in performance management and reward systems.
An effective leader drives momentum by visibly championing the change.
4. Building Organizational Agility
Why it matters: Change is not a one-off event but a continuous capability. Organizations that thrive are those that can adapt, learn, and pivot quickly.
How to build this capability:
Continuous learning: Use each change initiative as a learning opportunity—what worked, what didn’t, and why? Feed these insights into future planning.
Iterative planning: Move from annual change plans to rolling, flexible roadmaps that can adjust to new priorities or market shifts.
Empowerment at all levels: Equip managers and teams with the skills and authority to lead local change, not just execute centrally-driven initiatives.
Culture of experimentation: Encourage calculated risk-taking and innovation, rewarding learning as much as results.
Practical Tools and Techniques
Benefits realization frameworks: Standardize how benefits are defined, tracked, and reported across all initiatives.
Adoption and engagement dashboards: Integrate people metrics (engagement, sentiment, turnover) with project and business metrics.
Change risk registers: Live tools for tracking, escalating, and mitigating risks across the portfolio.
Leadership scorecards: Track and report on leaders’ visible sponsorship and change leadership behaviours.
Common Pitfalls and How to Avoid Them
Focusing only on delivery: Don’t stop at go-live—track benefits and adoption for the full lifecycle.
Ignoring feedback: Build mechanisms to listen and respond to concerns, not just broadcast messages.
Leadership drop-off: Ensure leaders remain engaged and visible, not just at the start but throughout.
Static planning: Avoid rigid annual plans—build in flexibility and regular reviews to respond to change.
High adoption rates: New ways of working are embraced and sustained, not just implemented.
Proactive risk management: Leaders anticipate and address risks before they become issues.
Organizational agility: The business adapts quickly to new challenges and opportunities.
Visible, credible leadership: Senior leaders are recognized as champions of change, inspiring confidence and commitment at every level.
“The ageless essence of leadership is to create an alignment of strengths in ways that make a system’s weaknesses irrelevant.” – Peter Drucker
Sustaining Change Literacy at the Top
Building change literacy in senior leaders is a journey—from initial oversight, through outcome ownership, to embedding best practice. It’s not about training for its own sake, but about equipping leaders with the insight, tools, and behaviours to lead change as a core business capability.
As a transformation/change practitioner, your role is to curate the right data, design the right conversations, and create the right conditions for leaders to learn by doing. When you succeed, change becomes not just something the organization does—but something it is striving to improve, every day.
At The Change Compass, we not only provide the technology/platform to support with change literacy, we also guide you on influencing senior leaders through data. Chat to us to find out more.
In today’s dynamic business environment, managing multiple changes simultaneously is the norm, not the exception. As change transformation experts/leaders, we’re expected to provide clarity, reduce disruption, and drive successful adoption—often across a crowded portfolio of initiatives. In this high-stakes context, it’s tempting to lean on familiar tools and assumptions to simplify complexity. However, some of the most common beliefs about managing multiple changes are not just outdated—they can actively undermine your efforts.
Here we explore seven widespread assumptions that can lead change leaders astray. By challenging these myths, you can adopt more nuanced, effective approaches that truly support your people and your business.
Assumption 1: A Heatmap or Data Table is a Single View of Change
Heatmaps and data tables have become go-to tools for visualising change across an organisation. At a glance, they promise to show us where the “hotspots” are—those areas experiencing the most change. But is this single view really giving us the full picture?
Why This Assumption is Wrong
1. Not All Change is Disruptive—Some is Positive A heatmap typically highlights areas with high volumes of change, but it doesn’t distinguish between positive and negative impacts. For example, a new digital tool might be seen as a “hotspot” simply because it affects many employees, but if it makes their jobs easier and boosts productivity, the overall experience could be positive. Conversely, a smaller change that disrupts workflows or adds complexity may have a much larger negative impact on a specific group, even if it doesn’t light up the heatmap. Depth of understanding beyond the heatmap is key.
2. The Data May Not Show the Real ‘Heat’ The accuracy of a heatmap depends entirely on the data feeding it. If your ratings are based on high-level, generic ‘traffic-light’ impact assessments, you may miss the nuances of how change is actually experienced by employees. For instance, a heatmap might show a “red zone” in one department based on the number of initiatives, but if those initiatives are well-aligned and support the team’s goals, the actual disruption could be minimal.
3. The Illusion of Completeness A single view of change suggests that you’ve captured every initiative—strategic, operational, and BAU (Business As Usual)—in one neat package. In reality, most organisations struggle to maintain a comprehensive and up-to-date inventory of all changes. BAU initiatives, in particular, often slip under the radar, even though their cumulative impact can be significant. This is not to say that one always needs to aim for 100%. However, labelling this as ‘single view of change’ would then be an exaggeration.
The Takeaway
Heatmaps and data tables are useful starting points, but they’re not the whole story. They provide a high-level snapshot, not a diagnostic tool. Heatmaps should also not be the only visual you use. There are countless other ways to present similar data. To truly understand the impact of multiple changes, you need to go deeper—gathering qualitative insights, focusing on employee experience, and recognising that not all “hotspots” are created equal. Ultimately the data should tell you ‘why’ and ‘how’ to fix it.
Assumption 2: A Change Manager’s H/M/L Rating Equals Business Impact
It’s common practice to summarise the impact of change initiatives using simple High/Medium/Low (H/M/L) ratings. These ratings are easy to communicate and look great in dashboards. But do they really reflect the business impact?
Why This Assumption is Wrong
1. Oversimplification Masks Nuance H/M/L ratings often blend a variety of factors: the effort required from business leads, subject matter experts (SMEs), sponsors, project teams, and change champions. These ratings may not be based solely—or even primarily—on employee or customer impact. For example, a “High” impact rating might reflect the complexity of project delivery rather than the degree of disruption felt by frontline staff.
2. Limited Decision-Making Value A single, combined rating has limited utility for decision-making. If you need to focus specifically on employee impacts, customer experience, or partner relationships, a broad H/M/L assessment won’t help you target your interventions. It becomes a blunt instrument, unable to guide nuanced action.
3. Lack of Granularity for Business Units For business units, three categories (High, Medium, Low) are often too broad to provide meaningful insights. Important differences between types of change, levels of disruption, and readiness for adoption can be lost, resulting in a lack of actionable information.
The Takeaway
Don’t rely solely on H/M/L ratings to understand business impact. Instead, tailor your assessments to the audience and the decision at hand. Use more granular, context-specific measures that reflect the true nature of the change and its impact on different stakeholder groups, where it makes sense.
Assumption 3: Number of Go-Lives Shows Us the Volume of Change
It’s easy to fall into the trap of using Go-Live dates as a proxy for change volume. After all, Go-Live is a clear, measurable milestone, and counting them up seems like a straightforward way to gauge how much change is happening. But this approach is fundamentally flawed.
Why This Assumption is Wrong
1. Not All Go-Lives Are Created Equal Some Go-Lives are highly technical, involving backend system upgrades or infrastructure changes that have little to no visible impact on most employees. Others, even if small in scope, might significantly alter how people work day-to-day. Simply tallying Go-Lives ignores the nature, scale, and felt impact of each change.
2. The Employee Experience Is Not Tied to Go-Live Timing The work required to prepare for and adopt a change often happens well before or after the official Go-Live date. In some projects, readiness activities—training, communications, process redesign—may occur months or even a year ahead of Go-Live. Conversely, true adoption and behaviour change may lag long after the system or process is live. Focusing solely on Go-Live dates misses these critical phases of the change journey.
3. Volume Does Not Equal Impact A month with multiple Go-Lives might be relatively easy for employees if the changes are minor or well-supported. In contrast, a single, complex Go-Live could create a massive disruption. The volume of Go-Lives is a poor indicator of the real workload and adaptation required from your people.
The Takeaway
Don’t equate the number of Go-Lives with the volume or impact of change. Instead, map the full journey of each initiative—readiness, Go-Live, and post-implementation adoption. Focus on the employee experience throughout the lifecycle, not just at the technical milestone.
Assumption 4: We Only Need to Track Strategic Projects
Strategic projects are naturally top of mind for senior leaders and transformation teams. They’re high-profile, resource-intensive, and often linked to key business objectives. But is tracking only these initiatives enough?
Why This Assumption is Wrong
1. Strategic Does Not Always Mean Disruptive While strategic projects are important, they don’t always have the biggest impact on employees’ day-to-day work. Sometimes, operational or BAU (Business As Usual) initiatives—such as process tweaks, compliance updates, or system enhancements—can create more disruption for specific teams.
2. Blind Spots in Change Impact Focusing exclusively on strategic projects creates blind spots. Employees may be grappling with a host of smaller, less visible changes that collectively have a significant impact on morale, productivity, and engagement. If these changes aren’t tracked, leaders may be caught off guard by resistance or fatigue.
3. Data Collection Bias Strategic projects are usually easier to track because they have formal governance, reporting structures, and visibility. BAU initiatives, on the other hand, are often managed locally and may not be captured in central change registers. Ignoring them can lead to an incomplete and misleading picture of overall change impact.
The Takeaway
To truly understand and manage the cumulative impact of change, track both strategic and BAU initiatives. This broader view helps you identify where support is needed most and prevents change overload in pockets of the organisation that might otherwise go unnoticed.
Assumption 5: We Can Just Use One Adoption Survey for All Initiatives
Surveys are a popular tool for measuring change adoption. The idea of using a single, standardised survey across all initiatives is appealing—it saves time, simplifies reporting, and allows for easy comparison. But this approach rarely delivers meaningful insights.
Why This Assumption is Wrong
1. Every Initiative Is Unique Each change initiative has its own objectives, adoption targets, and success metrics. A generic survey cannot capture the specific behaviours, attitudes, or outcomes that matter for each project. If you try to make one survey fit all, you end up with questions so broad that the data becomes meaningless and unhelpful.
2. Timing Matters The right moment to measure adoption varies by initiative. Some changes require immediate feedback post-Go-Live, while others need follow-up months later to assess true behavioural change. Relying on a single survey at a fixed time can miss critical insights about the adoption curve.
3. Depth and Relevance Are Lost A one-size-fits-all survey lacks the depth needed to diagnose issues, reinforce learning, or support targeted interventions. It may also fail to engage employees, who can quickly spot when questions are irrelevant to their experience.
The Takeaway
Customise your adoption measurement for each initiative. Tailor questions to the specific outcomes you want to achieve, and time your surveys to capture meaningful feedback. Consider multiple touchpoints to track adoption over time and reinforce desired behaviours.
Assumption 6: ‘Change Impost’ Understanding Helps the Business
The term “change impost” has crept into the vocabulary of many organisations, often used to describe the perceived burden that change initiatives place on the business. On the surface, it might seem helpful to quantify this “impost” so that leaders can manage or minimise it. However, this framing is fraught with problems.
Why This Assumption is Wrong
1. Negative Framing Fuels Resistance Describing change as an “impost” positions it as something external, unwelcome, and separate from “real” business work. This language reinforces the idea that change is a distraction or a burden, rather than a necessary part of growth and improvement. Stakeholders who hear change discussed in these terms may lead to the reinforcement of negativity towards change versus incorporating change as part of normal business work.
2. It Artificially Separates ‘Change’ from ‘Business’ In reality, change is not an add-on—it is intrinsic to business evolution. By treating change as something apart from normal operations, organisations create a false dichotomy that hinders integration and adoption. This separation can also lead to confusion about responsibilities and priorities, making it harder for teams to see the value in new ways of working.
3. There Are Better Alternatives Instead of “change impost,” consider using terms like “implementation activities,” “engagement activities,” or “business transformation efforts.” These phrases acknowledge the work involved in change but frame it positively, as part of the ongoing journey of business improvement.
The Takeaway
Language matters. Choose terminology that normalises change as part of everyday business, not as an external burden. This shift in mindset can help foster a culture where change is embraced, not endured.
Assumption 7: We Just Need to Avoid High Change Volumes to Manage Capacity
It’s a common belief that the best way to manage organisational capacity is to avoid periods of high change volume—flattening the curve, so to speak. While this sounds logical, the reality is more nuanced.
Why This Assumption is Wrong
1. Sometimes High Volume Is Strategic Depending on your organisation’s transformation goals, there may be times when a surge in change activity is necessary. For example, reaching a critical mass of changes within a short period can create momentum, signal a new direction, or help the organisation pivot quickly. In these cases, temporarily increasing the volume of change is not only acceptable—it’s desirable to reach significant momentum and outcomes.
2. Not All Change Is Equal The type of change matters as much as the quantity. Some changes are minor and easily absorbed, while others are complex and disruptive. Simply counting the number of initiatives or activities does not account for their true impact on capacity.
3. Planned Peaks and ‘Breathers’ Are Essential Rather than striving for a perfectly flat change curve, it’s often more effective to plan for peaks and valleys. After a period of intense change, deliberately building in “breathers” allows the organisation to recover, consolidate gains, and prepare for the next wave. This approach helps maintain organisational energy and reduces the risk of burnout.
The Takeaway
Managing capacity is about more than just avoiding high volumes of change. It requires a strategic approach to pacing, sequencing, and supporting people through both busy and quieter periods.
Practical Recommendations for Change Leaders
Having debunked these common assumptions, what should change management and transformation leaders do instead? Here are some actionable strategies:
1. Use Multiple Lenses to Assess Change
Combine quantitative tools (like heatmaps and data tables) with qualitative insights from employee feedback, focus groups, and direct observation.
Distinguish between positive and negative impacts, and tailor your analysis to specific stakeholder groups.
2. Get Granular with Impact Assessments
Move beyond generic H/M/L ratings. Develop more nuanced scales or categories that reflect the true nature and distribution of impacts.
Segment your analysis by business unit, role, or customer group to uncover hidden hotspots.
3. Map the Full Change Journey
Track readiness activities, Go-Live events, and post-implementation adoption separately.
Recognise that the most significant work—both for employees and leaders—often happens outside the Go-Live window.
4. Track All Relevant Initiatives
Include both strategic and BAU changes in your change portfolio.
Regularly update your inventory to reflect new, ongoing, and completed initiatives.
5. Customise Adoption Measurement
Design adoption surveys and feedback mechanisms for each initiative, aligned to its specific objectives and timing.
Use multiple touchpoints to monitor progress and reinforce desired behaviours.
6. Use Positive, Inclusive Business Language
Frame change as part of business evolution and operations, not an “impost.”
Encourage leaders and teams to see change work as integral to ongoing success.
7. Plan for Peaks and Recovery
Strategically sequence changes to align with business priorities and capacity.
Build in recovery periods after major waves of change to maintain energy and engagement.
Managing multiple changes in a complex organisation is never easy—but it’s made harder by clinging to outdated assumptions. By challenging these myths and adopting a more nuanced, evidence-based approach, change management and transformation leaders can better support their people, deliver real value, and drive sustainable success.
Remember: Effective change management is not about ticking boxes or flattening curves. It’s about understanding the lived experience of change, making informed decisions, and leading with empathy and clarity in a world that never stands still.
At The Change Compass, we’ve incorporated various best practices into our tool to capture change data across the organisation. Chat to us to find out more.
