Is change management just a job or a career? When you clock in and clock out everyday do you ever wonder what is the purpose of all this work? Yes, your natural response could be, well, managing change helps improve employee work experience and we help company land initiatives. We help maximise initiative benefits. Is this all? And are these the only ultimate outcomes?
For those of us who have made change management a career, we often roll out eyes across initiatives as we see common trends and occurrences across initiatives. What would have been highly stressful or dramatic is just seen as ‘yet again’ more of the same. You know what I mean …
Sponsors who only show up for announcements and ghost the project team the rest of the time
Corporate communications wrestle you to the ground by taking out factual information about the initiative that are critical
You send out a series of initiative communications and the impacted teams rarely read them
Some of your stakeholders nod and agree furiously in project meetings and do nothing afterwards, despite repeated engagement and consultations
Thanks for corporate-wide budget cuts, your project is now sliced into bare bones, and all the work required to drive behaviour change evaporate into thin air, to be replaced by a pure system implementation
Don’t get me wrong. There is definitely a lot of organisational benefits in managing change. There are definitely ample studies that draw attention to how, without successful change efforts, initiatives are doomed for failure. We definitely play a key role in achieving those hefty millions in benefits that are targeted. Also, let’s not forget that most of us are in this because we care about people. We truly believe that creating a good experience for people is the essence of what drives successful change.
The big questions is – what is your purpose and the meaning you are striving for when you work in change management? Beyond the cheque that pays the bills, why do we work hard to improve how change is managed? What is our north star? What truly motivates through thick and thin, through obstacles that stakeholders put along the way?
This is a personal question and not always an easy one to answer. There are some who are happy to go to work, get paid, ignore the BS within the corporate environment, just to feed their family and pay the mortgage. Others may have stumbled into change management and find it interesting work. However, to really strive in leading change, year after year, initiative after initiative, there would need to be some kind of burning flame inside you that keeps pushing you forward.
Exploring your own motivation in driving change not only helps you to understand your own behaviour and the source of your energy, it also helps you be clear about what you really care about. Clarity about your passion helps you to know what to reach for next time you are feeling down about how the project is going, or none of your change tactics are panning out.
For me, the meaning of managing change is only realised after experiencing a series of bad changes. Let me share more. I’ve worked for organisations where I have seen how hurtful and how traumatic bad changes have been for employees. A typical context is organisational restructuring. These are just a few examples what could happen ….
Employees are marched out by security after having lost their jobs on the day of the announcement, in case they retaliate and ‘steal’ company secrets, in public display for everyone to see
Leaders lie through their teeth about what is going to happen to the restructure in order to keep the workers productive, and eventually everyone realises it’s all been a series of lies and fabrications
Consultants are brought in to do the analysis and leaders basically reference what the message is from consultants, without interpreting what this really means for their people. Employees with years of tenure who have significant insight into how to improve business outcomes are ignored
In order to gain better roles and responsibilities managers backstab each other and even team members to jostle their way to favourite positions in the new org chart
For the individuals involved it could be such traumatic experiences that they may be scarred by the experience. Counselling may be required and organisational stress levels may be through the roof. It is not just those individual employees, but their families and friends could also be impacted like ripples in a pond.
Even if you don’t focus on the most dramatic of changes, a series of smaller badly run changes can still impact employees, their belief in the company, their trust in management, their work life health as well as overall health. Multiple smaller changes can add up.
So for me, the real meaning behind managing and leading change is about all those individuals that could be impacted, whether it be employees, customers or partners. Each is a person with a set of circumstances. They may be dealing with other stressors in their family or friendship circles already, or that they may be particularly vulnerable. This is particularly the case in our virtual working world.
Every person deserves to lead a happy, healthy work life. And change is such an important and memorable part of working life that every life you touch is a touch of dialling up the happiness/health level. It may not be the jumping up and clicking heels type of happiness. It would be managing risks so that negative experiences are avoided or minimised. Now imagine a long list of multiple changes all effective managed. Such is the power of managing change. We touch working lives in profound ways.
This is why at The Change Compass our vision is to improve the experience of people during change. “People’s work lives shape who we are and bad change experiences can be traumatic. With great change experiences, we can change the world”.
Now, isn’t this something to get motivated about through thick and thin?
What is YOUR meaning in managing change? How have your experiences shaped your approach and belief in managing change? How do you keep going day in and day out especially when times are tough?
There is now a lot of attention and focus on data. However, is the same applied to change management data? With the substantial financial investments companies make in change efforts, there’s a growing recognition of the need to leverage change management data strategically. Senior managers and executives are increasingly demanding data-driven insights to make informed business decisions. Here, we explore the challenges associated with change data, the strategic approaches to managing it effectively, and how incorporating it into the decision-making process can drive organizational success.
Common Challenges in Working with Change Data
Ad hoc and Tactical Approaches One common challenge in working with change data is the ad hoc and tactical nature of its collection. Often, data is gathered as needed, primarily at the project level. This can result in a fragmented view of change initiatives, making it challenging to derive meaningful insights. For instance, progress data may be limited to generic metrics such as the number of change impact sessions or completed training sessions, lacking depth and context.
Data Insufficiently Fact-Based Another prevalent issue is the creation of data that lacks a solid factual foundation. Change practitioners sometimes rely on gut-feel ratings or broad categories that are difficult to defend or substantiate infront of stakeholders. Heatmaps, a popular visualization tool, may be based on subjective assessments rather than objective, quantifiable measures, hindering the data’s credibility and utility.
Ineffective Data Visualizations Data visualizations play a crucial role in conveying information effectively. Unfortunately, some visualizations fall short of making a significant impact. Whether they are overly colorful, fail to use the right chart to highlight key points, or present data in a way that obscures the primary message, ineffective visualizations can impede the decision-making processes.
Seeking Easy Fixes Many change practitioners view working with data as a chore and opt for quick fixes. They may collect just enough data to generate a report or dashboard, neglecting the importance of a thorough understanding and management of the data. This short-sighted approach can compromise the quality and reliability of the insights derived from the data.
Strategic Approaches in Working with Change Data
Strategic approaches to manage change data can result in significant value for the organisation. Imagine the power of a range of change management data that highlights anything from impact levels, saturation risks, sentiments, adoption risks and benefit realization progress. Such is the power of change data, if managed effectively. What are some of these strategic approaches?
Managing Data as a Core Routine To address the challenges associated with ad hoc and tactical data collection, organizations must establish routines for managing change data. Monthly data reviews, updates, and audits create a disciplined approach to ensure the data remains accurate, relevant, and valuable. By making data management a core routine, organizations foster a culture of accountability and accuracy. This can be applied across a large program, a business unit, a portfolio of initiatives or across the enterprise.
Leveraging AI for Data Auditing and Cleansing Artificial Intelligence (AI) can play a pivotal role in auditing and cleansing change data. Platforms like The Change Compass offer features that automate these processes, reducing the likelihood of errors and ensuring data integrity. AI-driven tools can identify inconsistencies, outliers, and inaccuracies, providing a more reliable foundation for decision-making.
Linking Change Data with Other Business Sources The true power of change data emerges when it is connected with other relevant business data sources. By integrating change management data with project data, HR data, risk data, and operations data, organizations gain a holistic view of their business landscape. This interconnected approach allows for a comprehensive understanding of key business risks and opportunities, facilitating more informed decision-making.
Incorporating Data into Decision-Making Bodies Change data should not exist in isolation; it should be integrated into key decision-making forums and processes. From executive leadership forums and strategic planning sessions to portfolio planning and operational meetings, incorporating change data into these discussions ensures that insights derived from the data inform critical business decisions. This alignment helps organizations proactively address challenges and capitalize on opportunities.
While recognizing the strategic importance of change data is a significant step forward, change practitioners must actively implement practical measures to enhance their approach to change data management. Here are some recommendations to help change practitioners become more strategic in their utilization of change data:
Standardize/Routinize Data Collection Processes: o Develop standardized processes for collecting change data across different projects and initiatives. o Implement consistent data collection templates and methodologies to ensure uniformity and comparability of data across initiatives and business units
Invest in Training and Skill Development: o Provide training for change practitioners on data management best practices, including data collection, analysis, audit and interpretation. This is critical to drive data capability and maturity. o Foster a data-driven culture within the organization by equipping practitioners with the necessary skills to leverage data effectively.
Utilize Technology and Automation: o Embrace technological solutions, such as data analytics tools and AI-driven platforms, to automate data auditing, cleansing, and visualization processes. o Leverage technology to streamline data collection and reporting, reducing manual effort and minimizing the risk of errors.
Encourage Cross-Functional Collaboration: o Facilitate collaboration between change management teams and other departments, encouraging the sharing of data and insights. o Establish cross-functional teams to integrate change data with project data, HR data, and other relevant business sources.
Implement Data Governance Frameworks: o Develop and implement robust data governance frameworks to ensure the accuracy, security, and compliance of change data. o Define roles and responsibilities for data management within change initiatives, promoting accountability and ownership.
Enhance Data Visualization and Reporting: o Invest in training or hiring professionals with expertise in data visualization to create compelling and impactful reports. o Tailor visualizations to the audience, ensuring that key messages are communicated clearly and effectively.
Conduct Regular Data Reviews and Audits: o Establish a routine for regular data reviews, updates, and audits to maintain the accuracy and relevance of change data. o Use audits as an opportunity to identify and rectify data discrepancies or inconsistencies.
Integrate Change Data into Decision-Making Processes: o Actively participate in executive leadership forums, strategic planning sessions, and other decision-making bodies. o Present change data alongside other relevant business data to contribute to well-informed decision-making.
Measure and Communicate Value: o Develop metrics to measure the value generated by change initiatives and communicate these metrics to key stakeholders. o Regularly assess the impact of change data on decision-making processes and adjust strategies accordingly.
Seek Continuous Improvement: o Foster a culture of continuous improvement within the change management function. o Encourage practitioners to reflect on past experiences, learn from challenges, and refine their approach to change data management over time.
The strategic management of change data is not just a necessity but a critical component of achieving business success in today’s dynamic environment. By addressing common challenges and adopting strategic approaches, organizations can unlock the true potential of change data. As the business landscape continues to evolve, leveraging data-driven insights becomes a strategic imperative for navigating change, mitigating risks, and capitalizing on opportunities. Embracing change data as a strategic exercise positions organizations to not only survive but thrive in an ever-changing marketplace.
As the global landscape continues to evolve, so too does the field of change management. The year 2024 promises a shift in the way organizations approach change, driven by a combination of economic factors, continued technological advancements, and the ever-increasing need for adaptability. In this article, we explore the background factors influencing the upcoming changes, and delve into seven key predictions that are set to reshape the realm of change management in the coming year.
Background
Inflation Continue to Drop: A Ray of Economic Hope
One of the pivotal factors shaping the economic landscape in 2024 is the anticipated drop in inflation. After grappling with economic uncertainties, organizations can breathe a sigh of relief as the pressure from rising costs eases. This economic respite paves the way for strategic investments and initiatives, creating a conducive environment for change.
Avoiding Recession: Building Resilience Through Change
The specter of recession has loomed large in recent years, casting a shadow on organizational stability. However, as we step into 2024, the concerted efforts to avoid recession is forecasted to have paid off. Organizations have become more resilient, honing their ability to weather economic storms through strategic change initiatives. This backdrop sets the stage for a transformative year in change management.
Key Predictions
Agile Change as Business as Usual
In 2024, the concept of Agile Change is no longer a mere ‘work in progress’ but rather an integral part of Business as Usual (BAU). Organizations have recognized the need for agility in the face of rapid change, and Agile change methodologies have transitioned from experimental to foundational. This shift represents a change in mindset, emphasizing iterative processes, collaboration, and responsiveness to evolving circumstances. After more than 10 years of agile project methodology in the market place, agile change practices are starting to become ‘the norm’.
The Rise of Adaptive/Hybrid Change Models
Building on the previous point, agility applies beyond at an ‘intra-methodology’ perspective, but also how change approaches and methodologies need to be mixed and matched to work.
The increasing pace of change demands a more flexible approach from change practitioners. The dichotomy between structure and flexibility, innovation and process-focused strategies, gives rise to adaptive and hybrid change models. The emergence of terms like “wagile” (a fusion of waterfall and agile) underscores the need for a balanced approach that combines the best of both worlds. Organizations must strike a delicate balance between structure and flexibility to navigate the complexity of modern change initiatives.
For example, in regulated business functions there may need to be quite rigid planning of exactly when the changes must take place as well as the level of consultation and engagement required. However, the actual design of different engagement, positioning and employee involvement strategies may be tested in an iterative way.
Expanding Skill Sets for Change Practitioners
To meet business needs change practitioners will need to have a broader range of skills beyond ‘people skills’. In 2024, the demand for change professionals with a broader skill set encompassing strategic thinking, digital/data literacy, and business acumen will continue to be on the rise. As change initiatives become more complex, practitioners must equip themselves with multifaceted skills to address the diverse challenges that emerge during the change process.
For example, stakeholders are increasingly looking for data for reporting purposes to get a clearer sense of how changes are tracking. Beyond sentiments and opinions, stakeholders are looking for adoption indicators as well as precise indications of the nature of impacts across the employee population.
The Ascendance of Change Portfolio Management
Change portfolio management will continue to gain increasing visibility and importance in 2024. Organizations are recognizing the need to manage change initiatives collectively, aligning them with strategic objectives. The holistic oversight provided by change portfolio management enables organizations to prioritize, monitor, and evaluate change initiatives in a comprehensive manner, ensuring that resources are optimally allocated for maximum impact.
Whilst stakeholders may not be clear of the differences between transformation, portfolio management and change portfolio management, they are clearer of the benefits required in managing people impacts, against the need to maximise business performance and change adoption.
Leveraging Change Data for Informed Decision-Making
In the evolving landscape of change management, data is no longer just a nice-to-have; it’s a necessity. In 2024, the norm becomes leveraging change data to make informed decisions. Organizations recognize the value of data analytics in understanding the impact of change, identifying patterns, and proactively addressing challenges. This data-driven approach enhances the efficacy of change initiatives and provides a foundation for continuous improvement.
It is no longer that the expectation for data-led decision making rests in project functions such as technical development, business analysis, testing and user-experience. Change management teams are also expected to demonstrate the impact of their work through data.
Increasing Use of Software in Change Implementation
The leverage of software in change implementation should see an uptick in 2024, along with general increase in software usage rates in organisations. Organizations are leveraging technology to streamline and enhance various aspects of the change management process. From change project management tools, change measurement platforms, as well as change portfolio management tools the role of software can accelerate the pace of change initiatives and supports the realisation of benefits.
AI for Change: From Wait-and-See to Full Adoption
Artificial Intelligence (AI) for change management is no longer a ‘wait-and-see’ proposition; it’s a reality in 2024. In 2023 a lot of users have sat on the fence as others argue about the risks in using AI and data security. The launch of Microsoft Co-pilot and the continued adoption of Chat GPT 4 signal a paradigm shift in how organizations approach AI. Users will over time be used to asking a chat bot, using prompts to form analysis and other AI features to augment their work. Advanced AI change tools can also assist in decision-making, predictive analytics, and even virtual facilitation, revolutionizing the efficiency and effectiveness of change processes.
In addition, there will be significant interest in change management tools that have incorporated AI features, from data and trend analysis, risk analysis to recommendations on change approaches.
As organizations navigate the complexities of 2024, change management emerges as a critical linchpin for success. The predictions outlined in this article reflect an emerging shift in the approach to managing change, from the integration of Agile methodologies to the widespread adoption of AI. Change practitioners must equip themselves with a versatile skill set to thrive in this dynamic environment, where strategic thinking, digital literacy, and adaptability are paramount. As we stand on the cusp of a transformative year, organizations that embrace these predictions are poised not only to weather the winds of change but to harness them for sustained success.
In this Change Practitioner Q&A series, we talk to change managers to ask them how they approach their work. This time we are talking to Annah Kaspar.
Change Compass: Describe yourself in 3 sentences
Annah: I’m curious and a little irreverent because I want to know everything (except, controversially, about football). I love to hear people’s stories and tend to empathise deeply. Happiness is going to places I’ve never been, and hanging out with kind and interesting people.
Change Compass: What has been the most challenging situation for you as a change practitioner? Tell us what happened and how you fared through it.
Annah: It was not due to a type of change or a stakeholder group. It was working with a Program Manager who believed change management was an independent addendum of sorts, separate from the ‘main work’ of technology and process. They didn’t see how project stream interdependencies have a direct correlation to the quality of change outcomes, or that the best change outcomes occur when all project team members collaborate. This played out dreadfully when the PM refused to prioritise a gap analysis, despite this being a dependency for identifying changes and impacts.
The PM was unfamiliar with the flow-on effects. Unclear changes and impacts create ineffective change strategies, poor forecasting of time/effort/budget, ineffective stakeholder engagement and misaligned key messages. This creates low confidence in project solutions and poor adoption and change experience.
How did I fare? Suffice it to say it wasn’t fun for me or the stakeholders, and by that time the root cause (no gap analysis) was an abstract concept. I believe delivery alignment within a project team is one key indicator for delivery effectiveness across an organisation. When there are transparent and integrated project delivery plans and open dialogue about how all project team members play a valued role, then I know we can deliver superb change outcomes.
Change Compass: What are the most useful things to focus on when you first start on a project, and why.
Annah: I make a beeline for the project Business Case, or if there isn’t one, I work with others to get clear on the project drivers, especially the benefits. This is the ultimate ‘why’. If there are no connections between the project’s Business Case and the organisation’s strategy then I look to create these, otherwise the project is in trouble before it has even started.
All project outcomes, scope and solutions flow from the case for change. The next most important is a High Level stakeholder scan and a High Level impact scan. This requires data, data, data! The more the better, as it increases the odds of making better judgments. So even though it’s early days, it’s never too soon to capture data, and for that, you need the whole project team onboard with the critical role of collecting and validating it so you can optimise the delivery approach.
Change Compass: As change practitioners we don’t often get to stick around to see the fruits of our labour, but from your experience what are the top factors in driving full change adoption?
Annah: I was once on the receiving side of change, so I have strong views about this! If these four things are covered, then you’ve achieved sustainability:
Active & visible leaders who advocate for the changes and put their reputation on the line to support success,
A project team who co-creates integrated delivery strategies with impacted people
Direct feedback loops for impacted people. These need in-built response mechanisms and complete psychological safety. No feedback should ever be punished or dismissed
Post-project monitoring of key performance indicators (team and individual) with corresponding rewards to reinforce desired results and support where required to uplift results
Change Compass: You’re known to remain calm when there is a lot of stress and project drama around. What is your advice for others?
Annah: My tough but fair mentor once advised me to think up worst-case scenarios to prepare for challenges. It seemed counter-intuitive and overly negative at first, and would stress me out more! But over time, I saw that I too fall into the category of a perfectly nice and reasonable person who is overwhelmed by fear.
This mostly leads to unhelpful perspectives (cognitive distortions or ‘thinking traps’), unhelpful behaviours (character assassination, shutting down, unnecessary displays of overt authority etc) and ultimately a toxic workplace culture. So in difficult situations, the habit of thinking through not-so-great scenarios, combined with mindfulness, is just a basic form of risk management.
I’m now a huge advocate for speaking up early about risks and applying risk management to all aspects of project delivery. It’s not about ticking boxes. It’s about protecting us by counter-intuitively facing discomfort, creating emotional space for ourselves and others to regulate responses, and removing thinking traps so we can make those trade-off decisions to solve a project drama.
Change Compass: Thanks for sharing your experiences and wisdom with us Annah!
Not too long ago, ‘change’ was predominantly linked to technological breakthroughs and process optimizations. Companies were driven to adopt new technologies and methodologies to stay ahead of the competition and meet the growing demands of consumers. The focus was on efficiency, productivity, and achieving higher profits through innovation. Terms like ‘digital transformation’ and ‘disruption’ frequently dominated boardroom discussions and industry conferences.
It has been that the focus was mostly on technology and process. These were considered the ‘hard’ levers that can be pulled to gain significant business improvements. Companies have been spending big on digitizing their business to save costs and investing in streamlining processes as well.
However, the narrative has shifted.
While technology continues to advance at an unprecedented pace, ‘change’ has taken on a more profound and holistic meaning. Today, companies and people, in general, are recognizing that the ability to adapt, evolve, and respond to the world’s myriad challenges is the true essence of progress.
One reason ‘change’ has become a prevailing buzzword is its resonance with a broader audience. Unlike technical jargon, it connects with people on a more personal level, emphasizing that change is not just about adopting new tools and strategies, but about embracing growth and personal development. It speaks to the capacity of individuals to navigate uncertainties, adjust their mindset, and embrace continuous learning.
Moreover, an increasing percentage of companies are aware that their success hinges on the collective ability of their employees to adapt and remain agile. Leaders now recognize that fostering a culture of change and learning is crucial for attracting and retaining talent, boosting employee morale, and nurturing innovation.
Looking around us, the word ‘change’ is everywhere. Not only are people a lot more comfortable talking about change, but there is also a general acknowledgment of change as an overt occurrence.
Advertising and Slogans: Embracing the Spirit of Change
Companies are also quick to adopt the word ‘change’ in their jargon. Here are some examples.
Cisco “Changing the Way We Work, Live, Play, and Learn”
Cisco, a multinational technology company, explicitly uses the word ‘change’ in its advertising and philosophy. The slogan “Changing the Way We Work, Live, Play, and Learn” highlights Cisco’s focus on transforming various aspects of modern life through their technological solutions.
2. Accenture – “Let there be change”
Accenture, a global consulting and professional services firm, uses the phrase “Let there be change” in its advertisements and marketing materials. This tagline reflects the company’s focus on driving transformative change for its clients and within the industries it serves.
3. T-Mobile – “Change starts now”
This encapsulates the company’s commitment to driving transformation and initiating positive changes in the telecommunications industry. The slogan suggests a sense of urgency and empowerment, encouraging customers to take action and embrace the benefits of a new era in mobile communication.
4. PwC – “Solving for global change starts with you”
This tagline conveys the idea that PwC believes individuals have the power to drive positive change on a global scale. It encourages people to take action and play an active role in addressing global challenges and making a difference. By emphasizing that “you” are the starting point for solving global change, PwC highlights the importance of individual responsibility, innovation, and collaboration in creating a more sustainable and equitable world.
5. University of Technology Sydney “Think. Change. Do.”
This represents UTS’s commitment to fostering a transformative learning experience that prepares its students to be active contributors to society and catalysts for positive change. However, please note that taglines can be updated or changed over time, so it’s a good idea to verify the most current information from UTS’s official sources.
The prevalence of ‘change’ in advertising and slogans reflects companies’ desire to connect with their audiences on a deeper level. By evoking the spirit of change, these companies emphasize their commitment to innovation, customer-centricity, and positive societal impact. They appeal to consumers who seek purpose-driven brands and are eager to embrace progress and sustainability.
Change as a Catalyst for Resilience
In an ever-changing world, adaptability is synonymous with resilience. Companies that can quickly adjust to market shifts, economic downturns, and unforeseen challenges are more likely to thrive. ‘Change’ has thus become the rallying cry for building organizations that are not only successful but also capable of weathering storms and bouncing back from setbacks.
What this means for change practitioners
Change practitioners are in an excellent position to help organisations to shift their change capability and deliver on business improvement objectives. Change is increasingly acknowledged across organisations as a critical competency. The focus on change is there and change practitioners should use this to spearhead the momentum.
What next?
To take things to the next level, change practitioners must complement the upscaling of digitization and AI in organisations by augmenting the same in their work. This means incorporating more machine learning and AI, more digitization, and greater usage of data.
Change practitioners should ensure data is a core part of their practice and a foundational way of formulating change approaches and recommendations to their business stakeholders. Business leaders will increasingly leverage data across all business facets in business management, enabled by digital solutions. In a similar manner, change practitioners must also leverage digital solutions to automate and increase the effectiveness of change work.
Within an increasingly complex change environment, change practitioners should be well-versed in collecting and analysing data and generating data insights, again leveraging digital solutions. With the promise of AI and machine learning, there is already plenty of current opportunities to improve the effectiveness of change work, today. The uptake of this is up to each change practitioner.
The rise of ‘change’ as a popular buzzword reflects the transformative times we live in. As technology continues to shape the world around us, it is the capability of human beings to adapt and evolve that has taken center stage. From technological advancements to human adaptability, ‘change’ has transcended industries and become a part of our collective consciousness. For change practitioners, this is an opportune time to use this momentum to ramp up their own adoption of the digitization of change work and use this to improve the effectiveness of change.
Change management professionals often struggle with proving the worth of their services and why they are needed. There are certainly plenty of reasons why change management professionals are required and most experienced project managers and senior leaders would acknowledge this. However, for the less mature organisations that may not have had effective change management experts leading initiatives, the rationale on the additional value of change management may be less clear.
When we look across different project members and project teams, it is easy to argue that without developers, the technical project cannot progress. Without business analysts, we cannot understand and flesh out the core business steps required in the initiative. And of course, we definitely need a project manager for a project. But, what’s the justification for a change manager? Many projects have other project or business representatives do the change work instead.
As an attempt to justify in a very direct way, the value of change management, many resort to ROI calculations and aim toward higher ROI. This ROI of change management may seem like a great way to convey and show in a very direct and financial way, the value of change management towards project success. After all, we use ROI for calculating projects, why not use the same for change management as well to value the people side of change?
There are plenty of articles on how to best calculate change management ROI. Here are a couple:
1. PROSCI
Prosci has a good, clear way of calculating change management ROI within a project (though it doesn’t take into account speed of adoption). You simply evaluate to what extent employee adoption is important to the project. Then you take the overall expected project benefits and deduct the part of the expected benefits if there was no adoption. This is termed “people side benefit contribution”.
People Side Benefit Contribution = Expected Project Benefits – Expected Project Benefits (if adoption and usage = 0)
People Side Benefit Coefficient = People Side Benefit Contribution / Expected Project Benefits
2. Rightpoint
Rightpoint has a variation to this calculation. They have added ELV (Employee Lifetime Value) to the calculation.
Using ROI may be useful when the cost of the initiative is the critical focus for the organisation for its strategic investment. However, it is not the only way to convey the overall value of successful change management. In addition, the ROI method limits the value of change management to focus on the cost invested versus the value created. Also, this type of calculation limits the value of change to a project by project perspective.
So, how else do we show the direct financial value of change management? Let’s look to research. It turns out there are plenty of research examples. Here are some:
McKinsey & Company. (2016). The people power of transformations. This study found that transformation initiatives are 5.8 times more successful if CEOs communicate a compelling change story, and 6.3 times more successful when leaders share messages about change efforts with the rest of the organization. Link here.
Korn Ferry. (2018). Engaging hearts and minds: Preparing for a changing world. This study found that calls out change as a key trend found that companies with high levels of employee engagement had 4.5 times higher revenue growth compared to companies with low levels of engagement, noting that all companies are undergoing change. Link here.
IBM. (2016). Making change work … while the world keeps changing. This study found that 76% of successful projects include change management activities at the beginning of their overall project plans, which is 33% more than less successful projects. Link here.
IBM. (2015) Why a business case for change management. The article references a survey carried out in 2010 where companies that apply a value (benefit) realization approach (of which change management is a core component) complete projects at least twice as quickly and under budget by a factor of at least 1.9 times, Compared to those that don’t. Link here.
Towers Watson. (2013). Change and communication ROI. Organizations with highly effective communication and change management practices are more than twice as likely to significantly outperform their peers in total shareholder returns, versus organizations that are not highly effective in either of these areas. Link here.
Prosci. (2020). Best Practices in Change Management 11th Edition. The paper referred to a Prosci study that found that projects with excellent change management practices 6 times more likelihood of meeting project objectives than those that are poor. Link here.
So the value the importance of change management, let’s take a comparison to see the difference in using a ROI calculation of the value of change management versus using findings from the above research findings to demonstrate the derived value.
Let’s take a typical project example. Company A has ….
Annual revenue of $1 billion with 5% profitability
The revenue growth is 1%
Project A costs $1Million and is targeted for $3 million in benefits.
If the expected project benefits without adoption would be $1Million, then, the people-side contribution is …
$2Million / $3Million = $667K.
Let’s contrast this to other calculations using research.
Research findings | Calculation
Korn Ferry study where companies with high levels of employee engagement had 4.5 times higher revenue growth compared to companies with low levels of engagement. Taking a very conservative approach of portioning on 1/3 of employee engagement linked to change, this means 1.5 times higher revenue growth. | Taking a very conservative approach of portioning 1/3 of employee engagement as linked to change, this means 1.5 times higher revenue growth. This means if the revenue growth is 1%, then the additional revenue is $15 Million per year.
You can see that $15 million in value is much higher than the $667K in initiative ROI. From these examples, you can see that the financial value dwarfs that from the ROI calculation. On top of this, these are from research findings, which may have a stronger perceived validity and be easier to be trusted by stakeholders than the ROI calculation.
To point out, it is not an apple-to-apple comparison between the change management ROI from one initiative to the organisational value of change management across initiatives. However, the call out is that:
The financial value of change management does not need to be limited to individual initiatives
The sum may be greater than its parts. Rather than measuring at initiative levels, research findings are looking at organisational-level value
The value of change management may be more than cost, but also other value drivers such as revenue
As change management practitioners we should not shy away from calling out and citing the value of change management. Cost may be one value, but the true benefit of change management is both the top line as well as the bottom line. Directly referring to the research-backed findings also helps to highlight its value size and importance.
To do this, we should also work to deliver organisational value in managing change and not limit ourselves to one initiative. Focus on uplifting change management capability in the forms of leadership styles, change governance, change analytics, and change champion network capability, just to name a few.
Change management is often seen as a ‘soft’ discipline that is more an ‘art’ than science. However, successful change management, like managing a business, relies on having the right data to understand if the journey is going in the right direction toward change adoption. The data can inform whether the objectives will be achieved or not.
Data science has emerged to be one of the most sought-after skills in the marketplace at the moment. This is not a surprise because data is what powers and drives our digital economy. Data has the power to make or break companies. Companies that leverages data can significant improve customer experiences, improve efficiency, improve revenue, etc. In fact all facets of how a company is run can benefit from data science. In this article, we explore practical data science techniques that organizations can use to improve change outcomes and achieve their goals more effectively.
Improved decision making
One of the significant benefits of using data science in change management is the ability to make informed decisions. Data science techniques, such as predictive analytics and statistical analysis, allow organizations to extract insights from data that would be almost impossible to detect or analyse manually. This enables organizations to make data-driven decisions that are supported by empirical evidence rather than intuition or guesswork.
Increased Efficiency
Data science can help streamline the change management process and make it more efficient. By automating repetitive tasks, such as data collection, cleaning, and analysis, organizations can free up resources and focus on more critical aspects of change management. Moreover, data science can provide real-time updates and feedback, making it easier for organizations to track progress, identify bottlenecks, and adjust the change management plan accordingly.
Improved Accuracy
Data science techniques can improve the accuracy of change management efforts by removing bias and subjectivity from decision-making processes. By relying on empirical evidence, data science enables organizations to make decisions based on objective facts rather than personal opinions or biases. This can help reduce the risk of errors and ensure that change management efforts are based on the most accurate and reliable data available.
Better Risk Management
Data science can help organizations identify potential risks and develop contingency plans to mitigate those risks. Predictive analytics can be used to forecast the impact of change management efforts and identify potential risks that may arise during the transition. For example, change impacts across multiple initiatives against seasonal operations workload peaks and troughs.
Enhanced Communication
Data science can help facilitate better communication and collaboration between stakeholders involved in the change management process. By presenting data in a visual format, such as graphs, charts, and maps, data science can make complex information more accessible and understandable to all stakeholders. This can help ensure that everyone involved in the change management process has a clear understanding of the goals, objectives, and progress of the transition.
Key data science approaches in change management
Conduct a Data Audit
Before embarking on any change management initiative, it’s essential to conduct a data audit to ensure that the data being used is accurate, complete, and consistent. For example, data related to the current status or the baseline, before change takes place. A data audit involves identifying data sources, reviewing data quality, and creating a data inventory. This can help organizations identify gaps in data and ensure that data is available to support the change management process. This includes any impacted stakeholder status or operational data.
During a data audit, change managers should ask themselves the following questions:
What data sources from change leaders and key stakeholders do we need to support the change management process?
Is the data we are using accurate and reliable?
Are there any gaps in our data inventory?
What data do we need to collect to support our change management initiatives, including measurable impact data?
Using Predictive Analytics
Predictive analytics is a valuable data science technique that can be used to forecast the impact of change management initiatives. Predictive analytics involves using historical data to build models that can predict the future impact of change management initiatives. This can help organizations identify potential risks and develop proactive strategies to mitigate those risks.
Change managers can use predictive analytics to answer the following questions:
What is the expected impact of our change management initiatives?
What are the potential risks associated with our change management initiatives?
What proactive strategies can we implement to mitigate those risks?
How can we use predictive analytics to optimize the change management process?
Leveraging Business Intelligence
Business intelligence is a data science technique that involves using tools and techniques to transform raw data into actionable insights. Business intelligence tools can help organizations identify trends, patterns, and insights that can inform the change management process. This can help organizations make informed decisions, improve communication, and increase the efficiency of change management initiatives.
Change managers can use business intelligence to answer the following questions:
What insights can we gain from our data?
What trends and patterns are emerging from our data?
How can we use business intelligence to improve communication and collaboration among stakeholders?
How can we use business intelligence to increase the efficiency of change management initiatives?
Using Data Visualization
Data visualization is a valuable data science technique that involves presenting data in a visual format such as graphs, charts, and maps. Data visualization can help organizations communicate complex information more effectively and make it easier for stakeholders to understand the goals, objectives, and progress of change management initiatives. This can improve communication and increase stakeholder engagement in the change management process.
Change managers can use data visualization to answer the following questions:
How can we present our data in a way that is easy to understand?
How can we use data visualization to communicate progress and results to stakeholders?
How can we use data visualization to identify trends and patterns in our data?
How can we use data visualization to increase stakeholder engagement in the change management process?
Monitoring and Evaluating Progress
Monitoring and evaluating progress is a critical part of the change management process. Data science techniques, such as statistical analysis and data mining, can be used to monitor progress and evaluate the effectiveness of change management initiatives. This can help organizations identify areas for improvement, adjust the change management plan, and ensure that change management initiatives are achieving the desired outcomes.
Change managers can use monitoring and evaluation techniques to answer the following questions:
How can we measure the effectiveness of our change management initiatives? (e.g. employee engagement, customer satisfaction, business outcomes, etc.) And what method do we use to collect the data? E.g. surveys or focus groups?
What data do we need to collect to evaluate the change initiative progress?
How can we use statistical analysis and data mining to identify areas for improvement?
How can we use monitoring of ongoing support or continuous improvement?
The outlined approaches are some of the key ways in which we can use data science to manage the change process. Change practitioners should invest in their data science capability and adopt data science techniques to drive effective change management success. Stakeholders will take more notice of change management status and they may also better understand the value of managing change. Most importantly, data helps to achieve change objectives.
In this Change Practitioner Q&A series we talk to change managers to ask them how they approach their work. This time we are talking to Fiona Johnson.
Change Compass: Hi Fiona, describe yourself in 3 sentences.
Fiona: I’m a ‘seasoned” change practitioner who has survived many types of workplaces relatively unscathed ! Honestly, I could write a book about it. I always try and see the positive aspects of any workplace and do my best to enhance and support the cultural norms AND keep a sense of humour. I like to collaborate with professional and supportive team members and coach and mentor team members.
Change Compass: What has been the most challenging situation for you as a change practitioner? Tell us what happened and how you fared through it.
Fiona: I’ve had a lot of challenges, but I think the key is getting leaders to lead the change and supporting them.
I had an instance where I had to “sell” the benefits of change management to a very resistant Financial Controller. At the start of the project ( basically an operating model change) , he was totally focussed on the numbers and not the people and lacked the insight that change is always about people.
I had a team made up of business representatives and I set up regular fortnightly meetings to get his attention on issues we needed resolving and keep him up to date. I made the meetings short and sharp and each team members gave an update on the work they were doing to give them visibility. He realised the value of change management once the project delivered as that was when the gaps became evident. I think we were able to prepare him for the implementation but once the project wrapped up it was evident there was a lot of embedment activities not planned for and I think this would have caused more pain.
Although change initiatives are clearer now about the roles and responsibilities of the Sponsor and Business Owner, there is a still a reluctance amongst senior leaders to lead from the front in case it’s a failure and reflects negatively on them. I think this is an education piece and leaders need to trust change managers.
Change Compass: What are the most critical and most useful things to focus on when you first start on a project, and why.
Fiona: These tend to be the questions I focus on … • What are the business drivers? Why? Because this helps form the narrative and links to strategy and then to the frontline – “What’s in it for me?” • Who is the Sponsor and how actively engaged are they? They need to be involved and advocating throughout the project. • How much funding is set aside for Change Management ? I’ve implemented change on a shoestring but its better if there is funding for communication and training as this indicates consideration for the recipients. • What’s the organisations history of managing change – is there a “good” change example and what made it stand out, conversely what was a poor experience and what factors contributed to it ? • What is the culture like ? Take note of employees’ surveys as they provide markers on morale and pain points. • Finally identify a network of strong champions and advocates to help the change and provide them with the tools to do this.
Change Compass: As change practitioners we don’t often get to stick around to see the fruits of our labour, but from your experience what are the top factors in driving full change adoption?
Fiona: For me …. • Understanding the future state and identifying existing organisation metrics that can monitor and measure, or if there are gaps, ensuring these are filled before the change. • Handover to a committed business owner to manage and maintain momentum and who understands their role and responsibilities. • Building governance structures to review and report on the changes to the Executives or using existing forums. • Reporting and tracking are key but also other types of controls such as operating procedures and training. • Involving other areas such as QA, Compliance, HR and Finance in the discussions relating to embedment
Change Compass: You’re known to be great at explaining complex changes to stakeholders. What’s your secret?
Fiona: I have the grandmother test … would your grandmother understand this? Also, use basic communication rules such a targeting your audiences – there’s a difference between communicating to white collar and blue collar. Other tips include … • Use storytelling and personas your audience can relate to • Use your advocates and sponsors to spread the message. • Keep it simple and use a variety of mediums
There is no change curve. A single change curve doesn’t exist in most organisations. The concept of a single change curve means you’re always looking at it from the myopic lens of a single project or a single change. If we adopt a humanistic and human-centred view, what we see is that at any one time there are likely multiple change curves happening, to the same person, the same team, the same organisation.
At any one time, an impacted stakeholder maybe undergoing the 3rd iteraction of changes in one project, whilst partially adopting the new behaviours of another project, whilst just learning about the details of yet another project. And it may not even be projects or programs. It could be smaller team-led continuous improvement initiatives.
The concept of Agile methodology has revolutionized the way organizations approach software development and project management. It emphasizes flexibility, adaptability, and continuous improvement. However, the frequent introduction of multiple Agile changes within an organization can lead to multiple ‘S’ curves, which can result in several challenges related to adoption and business performance and capacity.
Multiple S curves refer to the continuous introduction of new Agile changes, each of which leads to a new adoption process and a corresponding performance improvement. This results in a series of S-shaped curves, each representing a different stage of the Agile adoption process.
The S curve is assuming that all of the changes are well implemented with good people experiences. The initial curve shows the slowness of the change adoption in the beginning, followed by a faster change adoption process, and finally capering off.
However, when the change is not well implemented due to various reasons the experience can be more like a V curve, where the experience and performance dips down into the ‘valley of despair’, followed by a ramp-up of improving experiences and change adoption.
The introduction of multiple Agile changes within an organization can lead to several challenges related to adoption and business performance and capacity. Firstly, continuous change can lead to confusion and uncertainty among employees. It can be difficult for employees to keep up with the latest changes and understand how they should adjust their work processes accordingly. This can result in decreased productivity and morale among employees.
Moreover, frequent changes can also result in increased cognitive strain and workload for employees. They may need to continuously learn new processes and techniques, leading to burnout and decreased job satisfaction.
Another challenge of having multiple Agile changes is that it can lead to decreased consistency in processes and outcomes. Each change may result in different outcomes and different ways of working, making it difficult to standardize and measure performance. This can result in a lack of accountability and a decrease in the organization’s overall efficiency.
In addition to the challenges related to adoption and performance, multiple Agile changes can also result in a decreased business capacity. The frequent changes can disrupt established workflows, making it difficult for teams to complete projects in a timely manner. This can lead to decreased project velocity and increased project risk, making it challenging for the organization to meet its goals and objectives.
So, while Agile methodology is a powerful tool for organizations, the frequent introduction of multiple Agile changes can result in several challenges related to adoption, performance, and capacity. To mitigate these challenges, organizations should take a strategic approach to Agile adoption, ensuring that changes are well-planned, communicated effectively, and implemented in a controlled manner. By doing so, organizations can ensure that the benefits of Agile methodology are realized while minimizing the risks associated with multiple changes.
To truly manage the multiple change curves, data is key. Without understanding which change curves are happening at what time it is not possible to manage change holistically. With data, you can easily drill into what is happening when, to whom, to what extent, and in what way. It is only with data that we can effectively orchestrate change across the board.
If you are going on a journey to capture change impacts across the organisation, be aware of how you are capturing the data so that you are truly addressing business issues critical to the organisation. For example:
Ensure that the data captured can be easily formatted and visualised to support a range of business decision-making contexts without too much manual work. The more manual the set up of the data is, the more time and effort it requires to answer the various data cuts that stakeholders may be needing
Balancing critical data points required versus having too many data fields and therefore too Cumberland and difficult to capture the data. The more data you are required to collect, the more complex the process is for those whom you are collecting the data from
Thanks to the nature of agile projects, the data will change constantly. The tracking of constantly changing change data is critical. However, it should also be easy and quick to update the data
Organisations under changes will invariably have changes in organisational structures, teams or roles. Ensure that your data-capturing process makes it easy to update the structure as they change.
Have a chat with us to understand more about how to leverage digital solutions to multiple change impacts across the organisation, and how to leverage AI and automation to make your lives easier in leveraging a data platform to make critical business decisions using change impact data.
So next time you talk about THE change curve, just be aware that you’re likely not adopting a people-centric view of change. You may want to look more holistically at what your impacted stakeholders are undergoing or about to undergo. Adopt a holistic mindset of what impacted stakeholders are going through as you plan out your change approach.
If you’re interested in exploring more about managing agile changes check out the following:
good change adoption dashboard can make or break the full benefit realization of a change initiative. It captures the essence of what stakeholders need to focus on to drive full change adoption. This visual representation of the status and progress of a change initiative provides real-time data and insights into how well-impacted employees are adopting the change and what steps can be taken to improve adoption rates. In this article, we will outline the steps for designing an effective change adoption dashboard.
Change adoption is often only measured toward the end of a change initiative. This is a mistake since the adoption journey can start as early as the project commencement, or when stakeholders start hearing about the initiative. At a minimum, change adoption should be defined and agreed upon before significant change impact happens. If you are implementing a system this will be well before the system go-live.
These are the key steps in building a great change project adoption dashboard.
Step 1: Define the Objectives of the Change Initiative
The first step in designing a change adoption dashboard is to clearly define the objectives of the change initiative. This includes understanding what the change is, what it aims to achieve, and what the desired outcomes are. Understanding the objectives of the change initiative is critical to defining the metrics that will be used to measure adoption and success.
If your initiative has a long list of objectives, be careful not to be tempted to start incorporating all of these into your dashboard. Your task is to pin down the most critical change management objectives that must be met in order for the initiative to be successful. If you are really struggling with how many objectives you should focus on, aim for the top three.
Step 2: Identify Key Metrics
Once the objectives of the change initiative have been defined, the next step is to identify the key metrics that will be used to measure adoption and success. These metrics should be directly tied to the objectives of the change initiative and should provide actionable insights into the progress and success of the change.
Some examples of metrics that can be used to measure change adoption include:
1. Stakeholder engagement levels (depending on your stakeholder impacts these could be customer, employee or partners)
2. Stakeholder engagement levels (depending on your stakeholder impacts these could be customer, employee or partners)
3. User adoption rates
4. Process improvement metrics
5. Time to adoption
6. Feedback from employees
The key is to locate the few metrics that will form the core of what full change adoption means. As a general rule, this often means a behaviour change of some kind. Here are some examples.
1. If the goal is changing a business process from A to B. Then you are looking for employees to start following the new process B. Then, identify the core behaviours that mean following process B.
2. If the goal is to start using a new system, then you would focus on system usage. Also focus on tracking any workarounds that employees may resort to in order not to use the system.
3. If the goal is to improve customer conversations, then you would focus on the quality of those conversations using key indicators. This may involve call listening or customer satisfaction ratings.
Again, ensure you are not over-extending yourself by picking too many metrics. The more there is, the more work there is. Having too many metrics also lead to attention dilution, and you start to loose stakeholder focus on the more critical metrics compared to less critical ones.
In the group of metrics you’ve chosen, if there is no behaviour measure then it is likely you may have missed the most critical element of change adoption. In most cases, behaviour change metric is essential for any change adoption dashboard.
If your change process involves too many behaviour steps, then focus on ones that are easier to track and report on. In a system implementation project, they could be system usage reports or login frequency.
Examples of target behaviours as a part of behaviour change
Step 3: Choose the Right Visualization Techniques
The next step in designing a change adoption dashboard is to choose the right visualization techniques. The visualizations should be chosen based on the data that needs to be displayed and the insights that need to be gained. Some examples of visualization techniques that can be used include:
Bar graphs: to display changes in metrics over time
Pie charts: to display the distribution of data
Line charts: to display changes in metrics over time
Heat maps: to display the distribution of data on a map
Selection of charts can be technical, and your goal is always to choose the right type of chart to make it easier for the audience to understand and interpret. Minimise on having too many colors since this can be distracting and overwhelming. Use colours carefully and only to show a particular point or to highlight a finding. Choosing the wrong chart can mean more questions than answers for your stakeholders, so choose carefully.
Beyond just having a collection of charts, modern dashboards have a mixture of different types of visuals to aid easy stakeholder understanding. For example, you could have different data ‘tiles’ that show key figures or trends. You may also want to incorporate key text descriptions of findings or trends in your dashboard. Having a mixture of different types of information can help your stakeholders greatly and avoid data saturation.
Example of chart styles from The Change Compass
Step 4: Design the Dashboard
Once the objectives, metrics, and visualization techniques have been defined, the next step is to design the dashboard. The design should be intuitive and user-friendly, with the ability to drill down into the data to gain deeper insights. The dashboard should also be accessible to all stakeholders, including employees, managers, and executives.
Data visualisation is a discipline in itself. For a general overview and key tips on chart design and selection visit our article to learn more about data visualisation techniques.
To reduce manual work in constantly updating and producing the dashboard for your stakeholders think about leveraging technical solutions to do this for you. A common approach is to use excel spreadsheet and PowerBI. This may be feasible for some, but it often involves using a PowerBI expert (which may come at a cost), and any time you want to change the dashboard you need to loop back the expert to do it for you.
The Change Compass has incorporated powerful and intuitive dashboarding and charting features so that you do not need to be an expert to create a dashboard. Reference our templates as examples and create your own dashboard with a few clicks.
An Example of a Change Adoption Dashboard from The Change Compass
Step 5: Test and Refine the Dashboard
The final step in designing a change adoption dashboard is to test and refine it. This includes testing the dashboard with a small group of stakeholders and getting their feedback. Based on their feedback, the dashboard can be refined and improved until it provides the insights and data that stakeholders need to drive change adoption.
A key part of this step is testing any automation process in dashboard generation. Is the data accurate? Is it recent and updated? What operating rhythms do you need to have in place to ensure that the process flows smoothly, and that you get the dashboard produced every week/month/quarter?
Step 6: Continuously Monitor and Update the Dashboard
It is important to continuously monitor the change adoption dashboard and update it regularly. This will help to ensure that the dashboard remains relevant and provides the most up-to-date information on the progress of the change initiative.
The reality is that stakeholders will very likely get bored with the same dashboard time and time again. They will likely suggest changes and amendments from time to time. Anticipate this and proactively improve your dashboard. Does it drive the right stakeholder focus and conversation? If not, tweak it.
Good stakeholder conversations mean that your stakeholders are getting to the roots of why the change is or is not taking place. The data presented prompts the constant focus and avoids diversion in that focus. This is also a journey for your key stakeholders to find meaning in what it takes to lead the change and reinforce the change to get business results.
Summary
Designing an effective change adoption dashboard is a critical step in ensuring the success of change initiatives. By providing real-time data and insights into how well employees are adopting the change, a change adoption dashboard can help key stakeholders make informed decisions and take action to improve adoption rates. Ultimately it is about achieving the full initiative benefits targeted. By following the steps outlined in this article, change managers can design a change adoption dashboard that provides the insights they need to drive change adoption.
Building and executing a change adoption dashboard can be a manually intensive and time consuming exercise. Leverage technology tools that incorporates automation and AI. You will find that this can significantly increase the speed in which you are able to execute on not just the change dashboard, but driving the overall change delivery. For example, you can leverage out-of-the-box features such as forecasting and natural language query to save significant time and effort.
Have a chat to us about what options there are to help you do this.
