Change adoption metrics are quantifiable indicators that show how much of a workforce has actually shifted to new ways of working after a change initiative is delivered. They go beyond completion data such as training attendance or system logins. Strong adoption metrics measure consistent use of new processes, observed behaviour change at the team level, and stakeholder confidence in the outcome. Reporting these metrics to leadership requires both a portfolio view of where adoption is strong and where it is stalling, and a clear connection to the business outcome each initiative was meant to deliver.
Prosci’s 12th Edition Best Practices in Change Management research found that 76% of change practitioners who measure adoption met or exceeded their project objectives. Among those who did not measure, only 24% achieved the same result, a three-to-one difference in outcomes driven not by strategy or budget, but by whether a team tracked what was happening with adoption.
Yet only 63% of change practitioners measure adoption consistently. Roughly one in three change teams is managing a transformation without knowing whether people are actually changing.
Adoption metrics close this gap. They track how well individuals are embracing change, how behaviours are evolving, and whether change initiatives are delivering the outcomes that justified them. This guide covers the essential metrics, measurement principles, and dashboard structures that high-performing change functions use across system implementations, compliance rollouts, and restructuring programmes.
What Are Change Management Adoption Metrics?
Change management adoption metrics are quantifiable indicators that help organisations 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 organisations 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 organisational 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 organisational 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 organisational 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 organisational 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 organisations 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 organisation’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 organisational 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.
Organisational 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.
Adoption metrics by change type
The specific metrics that matter most vary by the type of change you are managing. The table below maps the highest-priority indicators to the three most common change categories, helping you build the right measurement mix for each initiative.
Metric
System implementations
Compliance changes
Restructuring
Active user rate / login frequency
High priority
Moderate
Low
Feature utilisation depth
High priority
Low
Low
Process compliance rate
Moderate
High priority
Moderate
Incident or error rate
Moderate
High priority
Low
Manager observation or coaching score
Moderate
High priority
High priority
Employee engagement score
Low
Moderate
High priority
Reversion rate
High priority
Moderate
Moderate
Proficiency or competency assessment
Moderate
High priority
Moderate
Productivity vs pre-change baseline
High priority
Moderate
High priority
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.
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 organisations. 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 organisation, 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 organisations 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.
This guide focuses on tracking adoption, what people are actually doing with the change. Three closely related guides on this site each cover a distinct angle, pick the one that matches what you need now:
An enterprise change management organisational structure defines who owns change capability, who delivers individual change programmes, and how authority and resources flow between them. The three common models are centralised (a single enterprise team owns all change delivery and methodology), federated (a central centre of excellence sets standards while embedded practitioners deliver in each business unit) and hybrid (a small central team plus delivery partners and on-demand specialist resources). The right choice depends on portfolio scale, organisational maturity, and how much variation each business unit needs in how change is delivered. None is universally correct, but the wrong choice creates friction and slowed adoption.
Exploring Organisational Structures for Optimal Enterprise Change Management
Change is an inherent part of every organization’s journey towards growth and adaptability in an ever-evolving business landscape. In the realm of change management, one critical consideration is the organisational structure or design that best facilitates successful enterprise change management. There are plenty of different ways to structure change management practices. Like any type of organisational structures for organisations overall, there is not one way that is the most effective. It depends on the circumstances of the company in concern.
Centralised Change Management Structure
Centralised change management structures consolidate the authority, decision-making, and oversight of strategic change management initiatives within a single, dedicated team or department. In such a structure, the change management team sometimes reports directly to either Strategy or Office of the CEO. This approach provides the change practice significant influence due to its direct linkage with strategy.
Reporting Lines: HR, IT, Strategy, and More
In addition to the choice between centralised and federated structures, change management specialists (and the senior leaders that they report to) often grapple with determining the optimal reporting lines for their change teams. Several departments within an organisation are typically considered for hosting the change management function:
1. Human Resources (HR or People & Culture)
Reporting to HR aligns cultural change management with employee engagement and organisational development, which is essential for enhancing a company’s culture. This can be particularly effective when change initiatives heavily impact the workforce, as HR possesses expertise in people-related matters.
2. Information Technology (IT)
With the increasing digitalization of business processes, reporting to IT can ensure that complex technology-driven changes, including the introduction of new technology and digital transformation, as well as improvements in product offerings, are well led and managed across the enterprise. The remit for change practices reporting to IT can range from including just technology changes, to all strategic and funded initiatives, through to all of change management as a function.
3. Strategy or Transformation Office
Reporting to the strategy or transformation office closely ties change management to the organization’s overarching strategic goals. This alignment ensures that change initiatives are directly linked to long-term vision and objectives.
4. Operations
For a lot of organisations, the Operations function can determine a lot about how the organisation is run. This can include the change management function as well. The advantage of having the change practice reporting to Operation can mean that the operating rhythm of the organisation can be designed with the right change management approaches to support business goals. The way employees are engaged, how they’re involved, and how BAU processes are run, measured, and reported can be designed with change management interventions.
Key benefits of a centralised structure include:
Consistency: Centralised control ensures consistent change management practices across the organisation, reducing confusion and increasing effectiveness in terms of setting a common level of practice. Consistency in terms of language and concepts mean that it is easier for the business to adopt change management principles and practices.
Resource Allocation: Easier resource allocation, as the centralised team can prioritize and allocate resources based on organisational priorities. With better economy of scale for a larger centralised team, the change group has the opportunity to resource initiatives using different levels of involvement, from sessional, part-time to full-time.
Alignment: Enhanced alignment with the organization’s strategic objectives, as the change management team directly interfaces with top leadership. This means that effort and focus areas as more likely to be on that which is most strategic and can impact the organisation the most.
Change maturity. The change practice has the opportunity to focus on building organisation-wide change maturity due to its ability to interface and influence across the organisation. While other change management structures may also have the ability to focus on building business change maturity, a centralised function has the advantage of having a greater impact level due to its scale.
In contrast, federated change management structures distribute change management responsibilities throughout various business units or departments. Each business unit maintains its own change management team, and these teams collaborate to execute change initiatives. Typically, these teams report to their respective department heads. This means that there is no formal enterprise change management function.
The advantages of a federated structure include:
Local Expertise: Greater understanding of department-specific needs and challenges, leading to tailored change strategies and therefore better change outcomes. Different business units can have very different cultures and different business needs. Having change professionals who understand the various intricacies of the business unit means that they’re able to design change approaches that will better meet business requirements.
Ownership and relationship: There may be increased ownership and commitment among departmental staff, as the change teams sits in the same business unit and are ‘one of them’ versus someone sent from a centralised team. Others in the business unit may be more conducive to advice and support from a colleague in the same broader business unit. It is also easier to establish a closer working relationship if the change practitioner is always working with the same teams.
Flexibility: Greater adaptability to changes in individual departments, as they can independently address unique issues. Without any direction from a central team, the business-dedicated team can better flex their service offering to meet the business unit’s particular focus areas. Whilst, a central team may de-prioritise departmental-level initiatives to be less critical, for a departmental team it is much easier to flex toward their priorities.
Impact on Business Results
The choice of change management structure and reporting lines can significantly impact an organization’s overall business results. Here’s how different structures can yield varying outcomes:
Centralised Structure Outcomes
Efficiency: Centralised structures can excel in efficiency of delivery due to its scale of economy. Whereas small departmental change teams may structure to flex and resource projects efficiently, larger change practices can avoid this by leveraging its range of practitioners with different levels of skill sets and availability.
Consistency: They ensure a consistent approach to change management, reducing confusion among business stakeholders and employees. The consistency of standards also mean that there is less risk that initiatives may experienced a change intervention that is less effective due to the centralised capability standards reinforced.
Top-Down Control: Change initiatives are closely aligned with strategic objectives set by top leadership. This means that any ‘pet projects’ or less prioritised divisional initiatives may not be as likely to be granted change management support. This does not necessarily mean that those departments won’t focus on those initiatives, it just means that change management resources are more prioritised toward what top leadership deems to be most critical.
Federated Structure Outcomes
Local Engagement: Federated structures promote local ownership and engagement, fostering a sense of responsibility among departmental staff. Department-specific change practitioners will be more familiar with ‘what works’ at the department level. They are better able to leverage the right engagement channels and have the ability to access management and leadership roles at the department to garner support and drive overall initiative focus and success.
Adaptability: They allow for greater adaptability to unique departmental needs, which can be crucial in complex organisations. For example, the types of change management approaches and interventions that work for Sales organisations will be very different compared to that for call centres or processing centres, especially as employees transition into new roles. The ability for the change practitioner to adapt locally, supported by a strong company culture, can make or break an initiative’s success.
Innovation: Different units can experiment with various change approaches, leading to innovative solutions. This can be done without the confines of what is the overarching ‘standards and guidelines’ from the centralised change team.
Comparing the three structural models
The following table summarises the key characteristics, strengths, and watch-outs of each structural approach, to help guide your decision.
Characteristic
Centralised
Federated
Hybrid
Decision-making
Central change team leads all decisions
Business units lead locally
Shared between centre and BUs
Consistency of practice
High
Variable
Moderate to high
Responsiveness to local needs
Low
High
High
Resource efficiency
High (no duplication)
Lower (distributed resourcing)
Moderate
Best suited to
Regulated industries, enterprise-wide programmes
Diverse business units, decentralised orgs
Large complex organisations with varied change types
Key risk
Becomes a bottleneck; perceived as disconnected
Inconsistent quality; reinventing the wheel
Role clarity issues; governance complexity
Choosing the Right Structure
The decision regarding the optimal change management structure should be rooted in the organization’s specific context, culture, and the nature of the changes it is undergoing to establish a new status quo. Experienced change management specialists understand that a “one-size-fits-all” approach does not exist. Instead, they carefully consider the organization’s goals, resources, and capacity for change.
Also, it may not need to be either centralised or federated model. It can be a combination of both. For examples:
A federated model by reporting lines, however with a strong community of practice that is centralised and that promotes sharing of practices, standards, and even resources. This ensures that the overall group is connected to each other and new innovative approaches can be shared and proliferated
A centralised model by reporting lines, however with dedicated business-specific change partners that are focused on particular business units so that they are delivering business-focused change solutions. At the same time, the team still maintains a lot of the advantages of a centralised team.
The organisational structure and reporting lines for a change practice may influence various aspects of its work, however, this may not be the most critical part of how it creates value for the organisation. Other aspects in which a change practice should focus on in its development include:
Resourcing model. How to fund change management resources and the service delivery model to support a range of different projects with different needs for seniority, skill set, and even organisational tenure
Change methodology/framework. Organisations should work on at least a change management framework to set a minimum standard for change delivery. Using a generic off-the-shelf methodology may be OK, however they may not cater for the particular language and business needs of the organisation.
Change capability and leadership. Outside of project change delivery, the team should also work on gradually building change capability within the organisation to enhance the ability to drive and support change. This may not need to be in the form of training, it can also be done through structured development through real change projects.
Change portfolio/Enterprise change management. Beyond individual change delivery, the change team should also focus on how to deliver and land multiple initiatives at the same time. Most organisations need to drive change at a faster speed than previously and there is no luxury to only focus on one change at a time. How the team measures, tracks, and ‘traffic controls’ the multiple initiatives is crucial for its success.
To read more about managing a change portfolio visit our Change Portfolio Management section for a range of articles.
Change management structures and reporting lines are not just administrative choices; they can, in some ways, have a profound impact on an organization’s ability to achieve successful change outcomes. Experienced change management specialists must weigh the benefits and drawbacks of centralised and federated structures and align them with the specific needs of their organisation. By doing so, they can maximize their ability to navigate the complexities of change and drive the organisation toward a more agile, resilient, and adaptive future.
Frequently Asked Questions
What is the best organisational structure for a change management function?
There is no single best structure – the right model depends on the size of the organisation, the volume and complexity of its change portfolio, and the maturity of its change management capability. The four most common models are: centralised, federated, centre of excellence, and hybrid approaches combining elements of each.
How many change managers does an enterprise need?
A common rule of thumb for large organisations undergoing significant transformation is one dedicated change manager for every two to three major change initiatives running concurrently. A change portfolio management tool that tracks change impact and capacity can help quantify the actual demand on change management resources and build a more evidence-based staffing case.
Should change managers be embedded in project teams or centralised?
Both approaches have merit. Embedded change managers develop stronger stakeholder relationships. Centralised change managers develop broader organisational perspective and can manage cross-initiative dependencies more effectively. Many mature change functions use a hybrid model.
Behaviour change in a workplace context is the process by which employees, leaders and teams replace existing routines, decision habits and ways of working with new ones in service of a business goal. It is the most difficult layer of any change initiative, because it requires sustained effort after the technical or process change has been delivered. Effective behaviour change relies on more than communication and training. It depends on a clear specification of the target behaviour, the right environmental cues and incentives, peer norms that reinforce the new way, and reliable feedback loops that confirm the behaviour is producing the intended result.
How to Change Behaviour in the Workplace: A Complete Guide
In almost every change initiative there is an element of behaviour change. For some initiatives, the behaviour change in adopting a new habit required is large and complex whilst for others it can be as small as pressing different buttons and using a different user interface. Effective behaviour change, including incorporating new procedures, is one of the most critical outcomes that the change practitioner can hope to achieve. With the achievement of desired behaviours come the ultimate benefit associated with an initiative. On the other hand, not achieving the behaviour change targeted means that the change has not succeeded.
Given the importance of behaviour change in every initiative this article aims to cover key aspects of how a change practitioner should approach and design the behaviour change. Yet, successfully designing and implementing behaviour change is one of the most challenging tasks for the change practitioner. It is common place that many change practitioners do not have the experience to know how to achieve successful behaviour change.
The definition of behaviour change
So what is behaviour change?
Behaviour change “refer(s) to any transformation or modification of human behaviour”.
This seems like a fairly general definition that is all-encompassing and can include anything ranging from behaviour change in a psychological context or in a social or workplace context.
However, a key part of behaviour change is to recognise that behaviour, by definition, must be observable in some Shape or form. A behaviour can be verbal, non-verbal, or physical behaviour. However, a behaviour cannot be ‘perception’ or ‘thinking’ since these cannot be observed nor displayed necessarily.
Another feature of behaviour change is that the behaviour is to be changed from the current state to a future state. The quantum of the change determines the complexity of the change required and the extent to which a series of change interventions is required to achieve the desired future state. This means, if the behaviour change is easy from the impacted person’s perspective, then the change approach can be fairly light and does not need to be complex. However, if the quantum of the change is large, then a heavy design of change interventions is expected to achieve the outcome.
Some examples of behaviour change within a change initiative context includes:
Using a different computer program interface with different layout or keystroke steps in performing tasks
Different process steps required in disclosing financial details in business reporting
Proactive coaching employees through feedback to improve sales effectiveness
Reporting on risk incidents that are not compliant with company standards
Actively establishing rapport with the customer to demonstrate empathy by acknowledging their feelings and demonstrating effective listening
Speak up against bullying behaviours amongst colleagues
The importance of focusing on behaviour change
Inexperienced change practitioners will normally just followed the standard cookie-cutter approach of filling out the various change templates such as stakeholder matrix, change impact assessment, and a change plan. And then proceed to develop a communications plan or a learning plan as a part of experiential learning before executing on implementation.
So what is wrong with this?
As called out previously, in almost every change initiative there is a set of desired behaviours required to achieve the end state of the change initiative. The job of the change practitioner is to figure this out and design a change program around the achievement of these behaviours. Just by filling in templates and carrying out standard change approaches will most likely not achieve the targeted behaviours.
For example, in transitioning users from an old ERP system to a new digital system with a new look and feel, it is critical to identify the core behaviours required in the new state. Is it that in using the new digital system the user has access to a lot more timely data and therefore the behaviour change needs to be around 1) proactively checking for data and derive insights and 2) use these insights and data to make better decisions.
This means that if you were to just focus on communicating the change and train employees on how to use the new digital system, the whole project may not be deemed to be successful. This is because it is simply a project of ‘installation’ of a new system. However, the benefits targeted by the new digital system is about employees gaining more insights through the ability to easily access a range of data previously not available. Employees may know how to use the new system but it does not mean that they will automatically exhibit these desired behaviours.
One of the tricky things about behaviours is the ‘knowing’ vs. ‘doing’ conundrum. Just because someone knows how to do something it does not mean they will necessarily do it. Just because there is a pedestrian path, it does not mean that everyone will always use it. In a similar way, just because someone knows that the company wants him/her to document sales activities, it does not equate that all sales people will document all sales activities. In fact, in practice, we know that spending time on ‘admin’ such as documenting and entering sales activities into a system is often the last thing sales people want to do.
In the next section we will cover how to drive behaviour change.
How to achieve behaviour change
BJ Fogg model
Dr BJ Fogg is a Stanford professor who founded the Behavior Design Lab at Stanford University. BJ Fogg also wrote the New York Times bestseller ‘Tiny Habits’. What I love about this is that the Fogg model is incredibly simple and practical. It is grounded and backed up by significant empirical research and not just an ‘opinion’.
The Fogg model highlights 3 key elements that must converge at the same time for a behaviour to occur.
1. Motivation – Different motivators have different impacts on behaviour
2. Ability – This refers to how easy it is to undertake a behaviour. Some characteristics include time, money, physical effort, brain cycles (or ease of understanding and processing the task at hand), social deviance (the extent to which a behaviour is out of the social norm), and non-routine (behaviour that disrupts an existing routine)
3. Prompt/Trigger – These are reminders of events that prompt a particular behaviour. It could be an alarm, an associated image/event/person/scent, etc that reminds the person of the behaviour.
The power of this model is in its simplicity. You can apply this to any change initiative and the model will guide your thinking on how to design effective behaviour change. When something feels easy to do (low ability), then it will not require a lot of motivation to do it. Alternatively, when something is perceived as very hard to do, then it will require very high motivation to understate the behaviour. The key is to aim above the line. So, either focusing on increasing ability or increasing motivation will result in above the curved line, which means the behaviour taking place.
Example of applying the Fogg model
Case: You are implementing a cost cutting exercise due to the impact of Covid on the organisation. As a result of this exercise, the impacted employees will need to pick up parts of the roles of others who have been let go. The behaviour change required is that impacted employees will need to cover a broader set of tasks and at times have a heavier workload as a result.
Application:
Motivation: The impacted employee’s motivation is currently impacted after seeing their fellow colleagues lose their jobs and hence feeling worried that their jobs may be impacted. This is despite reassurances from senior managers that no more jobs will be cut for the time being. The challenge will be to sufficiently motivate these employees by continuously reassuring them of their job safety and working through the transition of having a broader role responsibility. Appealing to the focus on supporting customers and not letting them down may be a theme to reinforce.
Ability: It is critical to assess to what extent impacted employees are able to carry out new tasks assigned from a skill perspective. Training or coaching may be required. The other area to address is workload concerns. The perception that a heavy workload is required will hinder their likelihood of carrying out the additional responsibilities. Workload prioritisation and protocols are key topics to talk through to reassure employees how workload may eventuate during heavy periods.
Trigger: Different triggers may be designed to remind and reinforce the uptake of new accountabilities. These may include manager 1:1s, team reporting, open visual display of performance indicators, email reminders, colleague reinforcement/coaching, etc.
According to the Fogg model if the new accountabilities are significant it would be best to break these down into smaller behaviour increments vs a ‘big bang’ transition. It could be that there is a gradual transition whereby a period of continuous coaching is required after gradually introducing new sets of tasks for the employee to uptake and practice. After the transition period is completed, the employee then formally uptakes on the full accountabilities.
According to research findings, it is much easier to adopt the new behaviours if the discrete behaviours are broken down to small increment behaviours. Fogg has used lots of different examples of this one of which is doing push-ups. He started by doing 10. Then he would add 1 more every day to the push-up exercise, eventually getting to 100 push-ups. Adding a trigger to the new behaviour is also critical. For example, Fogg gave the example of doing sit-ups first thing in the morning as soon as you get up or doing pushups after going to the toilet. The event of getting up or going to the toilet then becomes a trigger for the new behaviour.
Cognitive Behavioural approaches to behaviour change.
Cognitive behavioural therapy is a widely established clinical approach to changing behaviours in patients suffering from various psychological conditions or disorders. Cognitive approaches are based on the fact that the way one thinks determines one’s reaction and therefore one’s behaviour. For example, self-talk is a mechanism to change one’s opinion or perception. Constantly reinforcing and verbalising positive statements about oneself may improve one’s own perception of oneself. Alternatively, constant negative self-talk leads to negative self-perception.
Behavioural approaches are based on research that started with Pavlov’s research on dogs where he associated bells as a trigger for food. After a period of time, every time the dogs heard the bell they would start salivating, with salivating being the behaviour. This process of associating a trigger with a behavioural reaction is also called ‘conditioning’. The process of conditioning is to ‘re-program’ the subject so that a new behaviour is introduced in reaction to a trigger.
There are many ways in which cognitive behavioural approaches may be applied to changing a person’s behaviour. For example, lets use the previous example of implementing a new system.
Creating or changing impression of the new system
A communications campaign may be devised to create or change the existing impression of the new system. This would be similar to any marketing campaign that associated particular imagery or messages with a feeling or impression. Over a period of repetition, the employees will start to associate positive impressions and key messages with the new system. Any tag-lines that are reinforced by manager briefings or town hall sessions would also act the reinforce the same messages.
As a part of the formal training for the new system, it could be that other than learning the ins and outs of operating the new system, the employee needs to be more proactive in looking at customer information to provide more value-add suggestions to the customer. Practices during the session, along with small nudges and subsequent reinforcements by the team leader or manager, through a corporate social learning platform, would act to build the behaviour change.
The trigger for new behaviours could be any acronyms, diagrams, tag lines, or pictures, and short videos and infographics created as a part of the campaign or training content. It is however important that there is a period of positive reinforcement or else the behaviour may not occur. The reinforcement may take form in terms of manager support, communication messages, prizes, competitions, and reporting on behaviour progress.
This is why post-release embedment is so important as the embedment process focuses on constantly reinforcing the behaviour so that it becomes second nature. Without this, the newly acquired behaviour will not be sustained. This is like exercise. Exercising a few times and your body starting to get the drift of what to do is just the start of the change. Without a period of constant exercising, it will not become a habit.
The other important cognitive behavioural approach to embedding new behaviour is ensuring adequate and effective social support. Some employees may be quite self-sufficient and are able to resolve any system issues themselves. Others may require a lot more hand-holding. This is why there must be change champions in place who can coach and support employees, as highlighted by social learning theory, as an effective way to support the right behaviours and resolve any obstacles in adopting the new system fully.
How to measure behaviours
Measuring behaviours is absolutely critical because without effective measurement it is difficult to ascertain to what extent the desired behaviours have been obtained and sustained. It is the old adage “What gets measured matters”.
So what are some of the ways in which to measure behaviours? These are some common examples.
Manager rating based on observation
Video recording
Phone/call listening
Attendance (e.g. training)
Test
System/digital reporting that tracks behaviour in a system
Employee-wide surveys specifically designed to focus on targeted behaviours
What categories in which to measure behaviours?
There are many considerations or dimensions in measuring behaviours. The following are some of these:
Time: How long would you want to measure the behaviours to ensure that they have fully embedded and incorporated into business-as-usual. Typical practice is several months after the ‘release’. Tracking reinforces behaviours. This means the longer the tracking mechanism continues – the more likelihood the behaviours will last longer
Level of behaviour change: Is the behaviour being measured black and white in its determination? I.e. is it easy to categories if the behaviour has occurred or not? Or are there different levels of behaviour achievement? E.g. If you are measuring if call centre staff has exhibited behaviour is reviewing customer data and offer suggestions, are there different levels of ‘value add’ behaviours based on customer data, in which case there could be a scale to rate this. Alternatively, it could also be a yes/no type of classification
Frequency: How frequent is the behaviour being displayed? Is it that the goal is to promote the frequency of the desired behaviour? Or are there certain limits expected? For example, if we would like call centre staff to offer value add calls with the customer, are there particular ‘ceilings’ or limited after which it may no longer be valuable for the customer?
Situational considerations: Ranking and classifying behaviours should also always consider situational factors. For example, it could be that the customer was not in the right emotional state to receive value-add suggestions and therefore the behaviour would not be appropriate for that situation. It could also be that the call centre consultant has been suffering from sickness or has been struggling with family difficulties and therefore for a period of time was not performing effectively. As a result, previously acquired behaviours could have dropped temporarily
How do we drive full embedment of behaviours?
These are some key call-outs in ensuring that the behaviours you have set out to transition to not only are achieved but are sustained, and to prevent relapse. Pretty much all aspects of change could determine the extent to which behaviours become adopted or not.
1. Executive sponsorship and drive. You will hear a lot of this in literature and articles that with executive sponsorship and drive it is much easier for behaviours to be sustained.
2. Employee community support and reinforcement. This point acts almost as the balancing point of the previous one. With sufficient employee community support and reinforcement, it is possible to drive continual behavioural reinforcement even without strong executive sponsorship.
3. Measurement and reporting. With the right measurement and reporting, employees receive feedback on what their performance has been, and this constant feedback acts as a strong reinforcement feedback loop for managers, training teams, and their direct reports. This is especially the case if everyone can see others’ behavioural performance. It could be by business unit or individual, but ‘naming and shaming’ can work if that is consistent with the organisational cultural values.
4. Early and continuous engagement. This is a change management 101 point. With early and continuous engagement workflow, impacted team members will feel much more engaged with the change. As a result, they will want to exhibit the desired behaviours to make it a success because they feel that they are the ones driving the changes. Alternatively, if the change is perceived as designed and implemented by another party without consultation with the impacted group, there could be resistance or a lack of embedment during the contemplation phase.
5. Culture of continuous improvement. A culture of continuous improvement can also support continual and full embedment of behaviours. If there is a strong culture of analysing the current performance and working on root cause analysis for performance improvement, along with teamwork on appropriate actions to improve performance, then behaviours will be adopted. In this situation, any situational or personal factors or not exhibiting behaviours may be called out and addressed to achieve the targeted outcome.
Complexity of embedding multiple behaviours across multiple initiatives
Most organisations are implementing multiple initiatives at the same time. This is the norm as organisations stay competitive, stay relevant, and in business. When multiple projects are going on all driving seemingly different behaviours.
How do we embed multiple behaviours?
1. Understand the different behaviours across initiatives. Rather than focusing on every single behaviour driven by every initiative, the key is to capture and record the top few behaviours targeted by each initiative. For large organisations with lots of initiatives, this may seem like an impossible feat. It could be organising 1-2 workshops to capture these behaviours. Do note that different initiatives may be at different stages of the product life cycle and therefore it may not be possible to capture all behaviours at a particular point in time. Having a regular change portfolio meeting where this could be discussed and captured iteratively would be ideal.
The Change Compass has just released a feature to aid the collection of core behaviours across initiatives so that these may be analysed, understood, and linked to aid better implementation alignment. You can tag key target behaviours to each initiative or project. For example, customer-centricity or efficiency. Then you can look through those initiatives impacting one part of the business and the core behaviours being driven across multiple initiatives.
2. Analyse and group the captured behaviours. After compiling the behaviours across initiatives the next step is to group and understand them.
Are there behaviours that are part of the same theme? For example, what are initiatives that are promoting a closer focus on the customer by promoting better listening and empathy skills?
Are there any behaviours that are ‘contradictory’ to other behaviours? Here is a real example. For a bank, one initiative was tasked to retire and close off a particular credit card due to a lack of profitability. However, at the same time, the same team was asked to try and sell more of their business unit head to meet their sales target.
3. Examine behaviours that are grouped into the same theme and think of ways to better align and join the dots to improve execution and behaviour embedment. This step is the most crucial step and involves running workshops across initiatives to better align approaches and plan for synergistic implementation of change across initiatives. Key discussion points or opportunities may include:
Aligning key messages and positioning for common behavioural themes. For example, if 2 initiatives are focused on improving customer-centric, how might these better align their communication activities, look and feel of communications collateral, wording, and positioning of behaviours.
Align, cross-leverage and cross-reference learning content. If multiple initiatives are all driving common behaviours, can content be cross-reinforced across multiple initiatives to drive a consistent and aligned user experience? This also ensures that there is no duplication of efforts in covering the same content
Align the sequencing and implementation of change activities. If 2 initiatives are both driving similar behaviours, can the various change activities be better sequenced and aligned to drive a better outcome than 2 separate siloed approaches? For example, can the executive sponsor speak to both initiatives in their town hall address, and can change champions be cross-leveraged to talk about both initiatives to help impacted teams join the dots around the common behaviours?
Successful and fully embedded behavioural change is the epitome of successful change and transformation initiatives. Achieving this is not always easy but having the right focus and adopting a structured approach to design behaviour change will ensure initiative success. Don’t be afraid of experimenting to test different ways in which to drive behaviour change. Keep iterating with different approaches to drive the full adoption of behaviours, which in turn will then ensure the full achievement of initiative benefits.
What is behaviour change in the workplace? Workplace behaviour change refers to a sustained shift in how employees perform their roles, interact with systems, or work with others, as a result of an organisational change initiative. The key word is sustained: a behaviour change is not complete when someone adopts a new way of working once, but when that way of working becomes the default, replacing the previous habit reliably over time.
Why is behaviour change so difficult in organisations? Behaviour change is difficult because it runs up against the force of habit. Research in behavioural neuroscience shows that habitual behaviours are encoded in the basal ganglia, a part of the brain that operates largely outside conscious awareness. Changing ingrained workplace habits requires deliberate repetition, environmental design (making the new behaviour easier than the old one), and consistent reinforcement from managers and peers.
What is the Fogg Behaviour Model and how does it apply to change management? The Fogg Behaviour Model, developed by BJ Fogg at Stanford University, holds that behaviour occurs when motivation, ability, and a prompt converge at the same moment. In a change management context, this means that training alone (building ability) will not drive behaviour change if motivation is absent or if the cue to act is missing from the work environment. Effective change design addresses all three elements simultaneously.
How long does it take to embed a new behaviour at work? The popular notion that habits form in 21 days has no scientific basis. Research published in the European Journal of Social Psychology found that it takes an average of 66 days for a new behaviour to become automatic, with a range from 18 to 254 days depending on the complexity of the behaviour and individual factors. For complex workplace behaviours, change teams should plan for reinforcement over a minimum of three to six months post-go-live.
How do you measure whether a behaviour change has been embedded? The most reliable measures combine observational data (direct observation by managers or coaches using a structured checklist), system-generated data (for tech-enabled changes, usage data reveals whether people are working in the new way), and outcome data (whether the business result the behaviour was designed to achieve is materialising). Self-reported surveys are useful for tracking sentiment and confidence but should not be the sole measure of behaviour change.
Buddhism embraces change as an inherent aspect of life, emphasizing the Pali word for impermanence, anicca. Change is viewed not as a threat, but as an opportunity for growth and enlightenment. By understanding and accepting the transient nature of existence, individuals can cultivate resilience and inner peace, ultimately leading to personal transformation and liberation.
I recently visited my brother and his family in Queensland near the North Eastern tip of Australia. Other than enjoying the nice beaches and tropical surroundings I spend some time with my 2 nephews. One of them is still in secondary school participating in various swimming carnivals over the same weekend. It seemed like yesterday that I had to hold his hand and walk him across the street. And now he is 6 foot three tall and still growing. Like many others undergoing change I reminisced the old days when he was small and cute and cherished the past. Not that the present isn’t great – but a part of us always miss the past and long for some of it to come back.
This made me wonder how generations have undergone change through the ages. Change is a fact of life as we grow and age – life and death. The Kubler-Ross model of the change curve is based on death and grief. This is often utilised to model the experiences that people undergo during change. However, the experience of change is an individual one and one that is dependent on the nature of the change and also how we perceive it. The same change event can be interpreted by one as a positive one and another as a negative one. As a result, for the same change event, for one the Kubler-Ross model of emotional experience can be valid, whilst for another completely the irrelevant.
How do we best deal with the constant changes and the nature of things in our lives? Buddhism, as part of its core Buddhist practice, is steeped in the philosophy that change in life is inevitable, reflecting the teachings of the Buddha as outlined in the sutra. Our thoughts are constantly changing, as are things around us, much like how the monks experience change in their monastic lives. Friends and even family can come and go, so can our belongings, but our attachment to them can lead to suffering. It teaches us that the more we try and hold on to things, the more grief and suffering this will cause us. The more we cling on to the past, the more it will cause us pain. This pain, if not embraced as part of our journey, prevents us from attaining a state of bliss and nirvana that comes from adjusting to the change and the new state of being.
“When we meet real tragedy in life, we can react in two ways–either by losing hope and falling into self-destructive habits, or by using the challenge to find our inner strength.” Dalai Lama.
In Buddhist meditation training, we are taught to be mindful and notice each moment, each sensation, and the dhamma of the environment that we are in. With the ebb and flow of each changing thought or changing moment, we simply notice it, acknowledge it, and apply the same mindfulness to the new state. We notice any feelings we have, acknowledge it as a part of how we react to the situation and move on to continually focus on the new state.
Building change readiness
In the modern organization we are constantly facing a multitude of different changes at the same time. How might we apply the same buddhist philosophy to these changes? We can do this by building awareness within ourselves and our employees that changes are constant, like life itself.
Draw attention to the various changes in an open and matter of fact way.
Build broader consensus of the environment that we are in.
Establish expectation that there will continue to be ongoing changes.
As needed establish routines and operating rhythms to bring the information about the changes to everyone (mindfulness of changes) and acknowledge the environment and challenges that the organization is facing.
Investigate and analyse what channels are required to bring the changes to light so that everyone is well aware and ready for the changes.
“If you want others to be happy, practice compassion. If you want to be happy, practice compassion.” Dalai Lama.
At the same time we need to highlight and prepare employees for the new changes. And as the changes happen, make these explicit. Acknowledge any reactions to the change, address these head on and reference back to what is happening currently. Show compassion for those impacted by the change by being open and supportive. In corporate lives we often only focus on profit and bottom line. Being profitable and financial successful can create good for the organization and its people. However, we can also do a better job at being compassionate about people’s work lives. We can do this by HOW we implement changes. Are we open about what the change is? Or do we hide behind corporate jargon? Do we continuously engage with impacted parties so that they have an optimal change experience?
To build capability for constant changes, we need to consider how leaders message and story-tell the journey of the changes employees have faced, past, present and what the future holds. Link this to the theme of constant change.
Build employee resilience through mindfulness of change. Just like the theme of life and death, draw out the need for constant evolvement within the organization to stay current and relevant.
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Here is a number that rarely appears in transformation business cases: the productivity cost of the change itself.
Organisations routinely model the financial benefits of a new system or operating model. They calculate the headcount savings, the efficiency gains, the revenue uplift. What they rarely model is the six to twelve months during which the productivity of their workforce will fall , sometimes sharply , before those benefits are realised.
This is the productivity dip. Every major change initiative creates one. The question is not whether it will happen, but how severe it will be, how long it will last, and whether you have done enough to shorten it. This article examines what drives the productivity dip during change, what the evidence says about its scale, and what practitioners can do to manage it.
What the data says about productivity loss during change
The productivity impact of organisational change is well-documented, even if it remains chronically underestimated in programme planning.
Willis Towers Watson’s research on workplace transformation found that over a third of employers experienced a measurable decline in productivity as a result of significant organisational change. More than half reported high to moderate anxiety among employees during major transitions, and two-thirds reported work distraction , a leading indicator of productivity loss.
Gallup’s State of the Global Workplace research quantifies the broader disengagement effect: global employee disengagement costs the global economy an estimated $438 billion in lost productivity annually. When organisations run poorly managed change programmes, they accelerate this disengagement among their most affected employee groups.
A 2025 analysis by ActivTrak found that the share of employees at risk of disengagement increased by 23% between 2024 and 2025, with research suggesting that disengagement and attrition could cost a median-size S&P 500 company between $228 million and $355 million per year. Not all of this is attributable to change management failures, but programme-driven change saturation is consistently identified as a contributing factor.
The implication is clear: the productivity dip is not a minor footnote to a transformation programme. For large organisations, it is a multi-million-dollar risk that deserves the same analytical rigour as any other programme cost.
Why the productivity dip happens: the mechanics of transition
Understanding why productivity falls during change is the first step to managing it. The dip is not a single phenomenon , it has several distinct causes that often compound each other.
The learning curve effect
When people are asked to work in new ways , using new systems, following new processes, operating in new team structures , they inevitably take longer to do what they could previously do almost automatically. This is the classic learning curve. Productivity falls in the short term because competence takes time to build.
The steeper the change, the steeper the learning curve. A minor process update might create a negligible dip. An enterprise-wide ERP implementation that changes how every transaction is processed can create a performance trough that lasts months.
The uncertainty and anxiety effect
Change creates uncertainty, and uncertainty is cognitively expensive. Research on workplace anxiety during transformation consistently shows that when employees are uncertain about their role, their job security, or how they are expected to perform in the new environment, their capacity for focused work drops significantly.
People spend time processing the change , discussing it with colleagues, seeking information, managing anxiety , rather than delivering at their normal pace. This is not irrational behaviour. It is a predictable response to an uncertain environment.
The cumulative change load effect
The productivity dip is significantly amplified when employees are experiencing multiple significant changes simultaneously. A team navigating a restructure, a new performance management framework, and a technology platform migration at the same time is not facing three manageable changes , they are facing a compounding load that can exceed their capacity to absorb and adapt.
McKinsey’s 2024 research on transformation highlights this directly: organisations running multiple transformations concurrently face compounding risk that goes beyond what individual programme risk assessments typically capture. Managing cumulative change load is one of the most important, and most underinvested, aspects of enterprise change management.
The disengagement effect
Not all employees who struggle with change become disengaged, but a significant proportion do , particularly those who feel the change was poorly communicated, who did not feel involved in the process, or who do not understand the rationale for what is being asked of them.
Disengaged employees are not simply less productive in a quantifiable sense. They are also more likely to resist the change actively or passively, to share negative sentiment with peers, and to leave the organisation , taking institutional knowledge and capability with them.
Five evidence-based strategies to minimise the productivity dip
The productivity dip cannot be eliminated entirely. But it can be shortened, shallowed, and managed. Here are five strategies supported by research and practitioner experience.
1. Quantify the expected dip in the business case
The single most important thing you can do to prepare your organisation for the productivity dip is to make it visible before the programme begins.
Build a productivity impact model into the programme business case. Estimate the duration and depth of the dip for the most affected groups, and translate it into financial terms. This does two things: it sets realistic expectations with leadership, and it creates a budget case for investment in change management support.
A business case that shows a twelve-month payback period based solely on benefit realisation, without accounting for a six-month productivity trough, is presenting a misleadingly optimistic picture. Making the dip explicit is not pessimism , it is intellectual honesty, and it protects the programme when the inevitable short-term performance decline materialises.
2. Invest in change management earlier, not later
Prosci’s research on change management timing consistently shows that change management deployed early in a project lifecycle , during design, not just implementation , is significantly more effective than change support added after go-live.
By the time productivity is visibly declining, the window for the most impactful interventions has usually passed. Early change management focuses on leader alignment, employee awareness, and readiness building , all of which reduce the depth of the dip at go-live.
The organisations that minimise productivity loss are those where change practitioners have been involved in programme design, not just programme delivery.
3. Manage cumulative change load deliberately
If your employees are experiencing three, four, or five significant changes simultaneously, no amount of good communication will fully offset the cognitive and emotional load they are carrying.
Change portfolio management , the discipline of tracking and managing the total volume of change across an organisation , is a practical response to this problem. By mapping which groups are affected by which initiatives, and sequencing or pacing change to avoid overload in any single group, organisations can meaningfully reduce the cumulative impact on productivity.
This kind of portfolio visibility requires data , specifically, change impact data aggregated across programmes in a consistent format. Platforms like Change Compass are built precisely for this purpose, enabling enterprise change teams to identify which groups are most at risk of change saturation and to make evidence-based decisions about pacing and prioritisation.
4. Invest in targeted capability building, not just training
The standard response to the learning curve effect is training. But generic, volume-led training programmes are one of the least efficient ways to address a productivity dip. The most effective interventions are targeted to the specific capability gaps created by the change, delivered in a format that matches how each group actually learns, and timed to when people are ready to apply the new capability.
This requires a clear picture of what each affected group needs to know and be able to do differently. The change impact assessment drives this, as discussed earlier in this series. The key principle is that training design should follow impact analysis, not precede it.
Just-in-time training , delivered close to the point where new capability is needed , consistently outperforms early, front-loaded training for productivity recovery. People forget what they learned two months ago. They retain what they practise immediately.
5. Build a visible measurement and recovery framework
One of the reasons productivity dips persist longer than they need to is that organisations lack the mechanisms to detect them early and respond quickly. If you are waiting for quarterly performance data to identify that productivity has declined, you are months behind where you need to be.
Build a measurement framework that includes leading indicators of the dip , early adoption rates, support ticket volumes, manager-reported confidence levels, self-reported readiness surveys , alongside lagging indicators of business performance. Monitor these indicators weekly during and immediately after go-live, and have a response protocol for groups showing early warning signs.
Research by Gartner on change management success suggests that the organisations with the best change outcomes have systematised their response to performance signals, rather than treating each dip as a unique event requiring an ad hoc response.
The role of leadership in managing the productivity dip
No technical change management strategy will fully compensate for leaders who are not genuinely present during a transition. One of the strongest predictors of how quickly productivity recovers is whether employees’ direct managers are visible, informed, and actively supporting the change.
This matters for a specific reason: the primary source of information and reassurance for most employees during a change is their direct manager, not a central communications team. If managers are uncertain, avoidant, or visibly resistant, that signals to their teams that the change is more threatening than the official messaging suggests.
Equipping managers to lead through change , with clear information, talking points, and personal support , is one of the highest-return activities in a change programme. The productivity cost of a disengaged middle-management layer is far higher than the cost of a structured manager engagement programme.
Monitoring productivity recovery in real time
One of the practical challenges of managing the productivity dip is knowing when you are actually through it. Without consistent measurement, organisations often assume recovery has occurred before it has , and withdraw change support too early as a result.
Effective recovery monitoring combines quantitative data (system usage rates, process cycle times, quality metrics) with qualitative signals (employee confidence surveys, manager assessments, support volumes). Tracking both allows you to distinguish between apparent recovery (people have stopped complaining) and actual recovery (performance has returned to baseline or better).
Digital change management platforms like Change Compass can support this monitoring by consolidating adoption data across the programme portfolio, flagging groups where adoption is lagging behind plan, and providing a single view of change health across the organisation.
The productivity dip during change is predictable, quantifiable, and manageable. It is not an inevitable cost of doing business. Organisations that treat it as such , accepting performance decline as unavoidable , are leaving value on the table and creating unnecessary difficulty for their employees.
The key disciplines are: building the dip into your business case so it is expected and budgeted for, investing in change management early rather than reactively, managing cumulative change load at the portfolio level, targeting capability building to actual gaps, and measuring recovery with enough granularity to respond when groups fall behind.
None of these is technically complex. What they require is the conviction that the productivity dip matters enough to plan for , and a change function with the data and the mandate to act.
Frequently asked questions
What is the productivity dip during change?
The productivity dip is the temporary decline in workforce output that occurs when an organisation implements significant change. It is caused by the combined effects of learning new processes or systems, the cognitive cost of uncertainty, and the disruption of established working patterns. The depth and duration of the dip vary depending on the scale of change, the level of preparation, and the quality of change management support.
How long does the productivity dip typically last?
Duration varies considerably by change type and management quality. Minor process changes may create a dip of days to weeks. Major technology implementations or structural reorganisations can produce a productivity trough lasting three to nine months. With strong change management, including early preparation, targeted training, and leadership engagement, the dip can be shortened significantly compared to unmanaged transitions.
How do you measure the productivity dip during change?
Effective measurement combines leading and lagging indicators. Leading indicators include system adoption rates, self-reported confidence surveys, support ticket volumes, and manager-assessed readiness. Lagging indicators include output metrics, quality measures, and cycle times. Tracking both provides early warning of groups at risk and confirms when genuine recovery has been achieved.
Can the productivity dip be avoided entirely?
Not entirely , some degree of performance decline is inherent in the transition to new ways of working. However, the depth and duration of the dip can be reduced substantially through proactive change management. Organisations with excellent change management support are documented to achieve significantly better project timelines and outcomes than those with poor or absent change management.
What role does cumulative change load play in the productivity dip?
Cumulative change load , the total volume of change being asked of an employee or group at any one time , is one of the strongest amplifiers of the productivity dip. A group experiencing three significant changes simultaneously faces a compounding burden that can exceed their capacity to adapt. Managing cumulative load through change portfolio visibility and deliberate sequencing is one of the most effective structural interventions available.
How does leadership behaviour affect the productivity dip?
Leadership behaviour is a critical moderating factor. Visible, informed leaders who actively communicate the rationale for change and support their teams through transition consistently produce faster recovery curves than absent or resistant leaders. Equipping managers with the information and tools to lead through change is one of the highest-return investments in the change management toolkit.