My friend Norman Beck recently shared a quote that inspired him: We work hard to make it look easy. Isn’t that what the best people do? Whether it’s sports, entertainment, or business, some people are so good that what they do looks easy.
I Googled the quote to find out who to attribute it to and found numerous variations:
In sports, Ken Griffey Jr., a professional baseball player, said, “Just because I made it look easy doesn’t mean that it was, and you don’t work hard and become a Hall of Famer without working day in and day out.”
In entertainment, Ben Mitchell, a fictional character from the BBC television series EastEnders, said, “It takes a lot of effort to make something look effortless.”
And in business, Steve Jobs of Apple said, “It takes a lot of hard work to make something look simple.”
There is some very practical wisdom in these motivational and inspiring quotes that we can apply to the customer service and customer experience (CX) world.
Think of the best customer experiences you have had.
Perhaps it was a person who was helpful, knowledgeable, and friendly, which, by the way, are the three experiences customers say are most likely to get them to come back, according to our 2024 CX research (sponsored by RingCentral). They made your experience enjoyable and easy. What you probably don’t know is that other than a pleasant demeanor – hopefully a natural part of the employee’s personality – there was a lot of training to get this person educated about the company’s products so they could deliver a knowledgeable and helpful experience.
Or consider the simplicity of ordering a product from Amazon. How complicated is the behind-the-scenes process that takes you from a few clicks on their website to what you ordered showing up on your front porch? It is incredibly complicated, but the Amazon experience is so easy!
When I’m invited to speak to a group of business leaders as the keynote speaker, I often share my Six Simple Steps to Building a Customer-Focused Culture. Yes, the steps are simple, but that doesn’t mean they are easy. There’s a difference!
The point is that simple is usually not easy. There’s lots of work, thinking, planning, practice, experimenting, training, and more that goes into creating an easy experience. And one thing customers really want, whether they express it or not, is an easy experience. So, consider this simple – but not so easy-to-answer – question: What do you do to give your customers an easy experience?
Image Credits: Pixabay
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With work and life becoming more intertwined than ever, people increasingly seek purpose through work. So, leaders are being called upon to create a sense of purpose on a team. When team members feel that their work is connected to a larger company-wide purpose, they are more motivated and perform better. This gives managers and leaders an opportunity to facilitate work environments that provide the sense of purpose people need to thrive.
In this article, we will explore five effective ways to create a sense of purpose on a team, ensuring that everyone is aligned and driven towards a common goal.
Give The “It’s A Wonderful Life” Test
The first way to create a sense of purpose on a team is to give the “It’s A Wonderful Life Test.” This test is derived from reflecting on the movie It’s a Wonderful Life and its premise. In the movie, the main character, George Bailey, is saved from committing suicide by an angel. Clarence (worst name for an angel ever) shows how different his community would be if George had never existed. This test doesn’t get as morbid as the movie, but the idea is to run a thought experiment that leads the team to examine its importance by considering the impact of its absence. By applying this test to your team, you can gain a deeper understanding of who is served by their work and the significance of their contributions. This knowledge allows them to see the value they bring to the organization and the difference they make in the lives of others.
Draft a Rallying Cry
The second way to create a sense of purpose on a team is to draft a rallying cry. A rallying cry is a powerful tool that embodies the team’s purpose and serves as a motivational phrase that everyone on the team knows. It should be simple, catchy, and inspiring. Many successful teams have used rallying cries to unite their members and keep them focused on their shared purpose. For example, the San Antonio Spurs adopted the rallying cry “pound the rock,” tapping into the imagery of a stonecutter hitting away at a rock hundreds of times before it finally cracks. They use it as a powerful reminder that the day-to-day strain of training and drilling hundreds of times is what brings victory. By creating a rallying cry that resonates with the team’s purpose, you can foster a strong sense of unity and motivation.
Create Team Symbols
The third way to create a sense of purpose on a team is to create team symbols. Symbols are visual representations that embody the team’s purpose and values. They serve as reminders of the team’s mission and can help team members stay connected to their sense of purpose. They can be visual symbols, objects, gestures, or anything else that can contains a meaning specific to the team—even better if it can tie into the rallying cry. To use the San Antonio Spurs again, their practice facility contains a powerful symbol—a boulder and sledgehammer displayed behind glass. Players walk by it before every practice. Your team may not have as elaborate a symbol. But anything that can remind the team of its rallying cry can help build a sense of purpose on a team. And as a bonus, you can reinforce a sense of shared identity on the team as well.
Collect Impact Stories
The fourth way to create a sense of purpose on a team is to collecting impact stories. Stories are one of the most powerful ways humans communicate—and hence they’re a powerful way to highlight the team’s successes and reinforce their sense of purpose. Impact stories can come from various sources, such as media coverage, customer testimonials, or thank you notes. But managers and leaders play a crucial role in collecting these stories and sharing them with the team. Ideally, every positive email or story in the media that aligns with either the team’s or the organization’s purpose gets captured so it can be shared at regular meetings. By regularly sharing impact stories, team members can see the tangible results of their work and the positive impact they have on others. This boosts their morale and motivation, reminding them of the importance of their contributions and the purpose behind their efforts.
Outsource Inspiration
The final way to create a sense of purpose on a team is to outsource inspiration. Outsourcing inspiration involves bringing in individuals who have been directly impacted by the team’s work to share their stories. It’s like collecting impact stories but amplified. Hearing firsthand accounts of how their work has made a difference can be incredibly motivating for team members. For example, medical device company Medtronic invites patients to their annual holiday party to share how the company’s technology helps them live better. When team members see the real-world impact of their efforts, it reinforces their sense of purpose and reminds them of the importance of their work. It also provides an opportunity for them to connect with the people they are serving, fostering empathy and a deeper understanding of their purpose.
Creating a sense of purpose on a team is crucial for its success. By using the “It’s a Wonderful Life” test, drafting a rallying cry, creating team symbols, collecting impact stories, and outsourcing inspiration, teams can foster a strong sense of purpose and motivation. These activities should be ongoing to maintain a sense of purpose and drive within the team, motivating them to do their best work ever.
You know the stories. Kodak developed a digital camera in the 1970s, but its images weren’t as good as film images, so it ended the project. Decades later, that decision ended Kodak. Blockbuster was given the chance to buy Netflix but declined due to its paltry library of titles (and the absence of late fees). A few years later, that decision led to Blockbuster’s decline and demise. Now, in the age of AI, disruption may be about to claim another victim – Google.
A very brief history of Google’s AI efforts
In 2017, Google Research invented Transformer, a neural network architecture that could be trained to read sentences and paragraphs, pay attention to how the words relate to each other, and predict the words that would come next.
In 2020, Google developed LaMDA, or Language Model for Dialogue Applications, using Transformer-based models trained on dialogue and able to chat.
Three years later, Google began developing its own conversational AI using its LaMDA system. The only wrinkle is that OpenAI launched ChatGPT in November 2022.
“In early 2023, months after the launch of OpenAI’s groundbreaking ChatGPT, Google was gearing up to launch its competitor to the model that underpinned the chatbot.
.
The search company had been testing generative AI software internally for several months by then. But as the company rallied its resources, multiple competing models emerged from different divisions within Google, vying for internal attention.”
That last sentence is worrying. Competition in the early days of innovation can be great because it pushes people to think differently, ask tough questions, and take risks. But, eventually, one solution should emerge as superior to the others so you can focus your scarce resources on refining, launching, and scaling it. Multiple models “vying for internal attention” so close to launch indicate that something isn’t right and about to go very wrong.
“None was considered good enough to launch as the singular competitor to OpenAI’s model, known as ChatGPT-4. The company was forced to postpone its plans while it tried to sort through the scramble of research projects. Meanwhile, it pushed out a chatbot, Bard, that was widely viewed to be far less sophisticated than ChatGPT.”
Nothing signals the threat of disruption more than “good enough.” If Google, like most incumbent companies, defined “good enough” as “better than the best thing out there,” then it’s no surprise that they wouldn’t want to launch anything.
What’s weird is that instead of launching one of the “not good enough” models, they launched Bard, an obviously inferior product. Either the other models were terrible (or non-functional), or different people were making different decisions to achieve different definitions of success. Neither is a good sign.
“When Google’s finished product, Gemini, was finally ready nearly a year later, it came with flaws in image generation that CEO Sundar Pichai called ‘completely unacceptable’ – a let-down for what was meant to be a demonstration of Google’s lead in a key new technology.”
“A let-down” is an understatement. You don’t have to be first. You don’t have to be the best. But you also shouldn’t embarrass yourself. And you definitely shouldn’t launch things that are “completely unacceptable.”
What happens next?
Disruption takes a long time and doesn’t always mean death. Blackberry still exists, and integrated steel mills, one of Clayton Christensen’s original examples of disruption, still operate.
AI, LLMs, and LaMDAs are still in their infancy, so it’s too early to declare a winner. Market creation and consumer behavior change take time, and Google certainly has the knowledge and resources to stage a comeback.
Except that that knowledge may be their undoing. Companies aren’t disrupted because their executives are idiots. They’re disrupted because their executives focus on extending existing technologies and business models to better serve their best customers with higher-profit offerings. In fact, Professor Christensen often warned that one of the first signs of disruption was a year of record profits.
In 2021, Google posted a profit of $76.033 billion. An 88.81% increase from the previous year.
2022 and 2023 profits have both been lower.
Image credit: Unsplash
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At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?
But enough delay, here are June’s ten most popular innovation posts:
If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!
Have something to contribute?
Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.
P.S. Here are our Top 40 Innovation Bloggers lists from the last four years:
Every era is defined by the problems it tackles. At the beginning of the 20th century, harnessing the power of internal combustion and electricity shaped society. In the 1960s there was the space race. Since the turn of this century, we’ve learned how to decode the human genome and make machines intelligent.
None of these were achieved by one person or even one organization. In the case of electricity, Faraday and Maxwell established key principles in the early and mid 1800s. Edison, Westinghouse and Tesla came up with the first applications later in that century. Scores of people made contributions for decades after that.
The challenges we face today will be fundamentally different because they won’t be solved by humans alone, but through complex human-machine interactions. That will require a new division of labor in which the highest level skills won’t be things like the ability to retain information or manipulate numbers, but to connect and collaborate with other humans.
Making New Computing Architectures Useful
Technology over the past century has been driven by a long succession of digital devices. First vacuum tubes, then transistors and finally microchips transformed electrical power into something approaching an intelligent control system for machines. That has been the key to the electronic and digital eras.
Yet today that smooth procession is coming to an end. Microchips are hitting their theoretical limits and will need to be replaced by new computing paradigms such as quantum computing and neuromorphic chips. The new technologies will not be digital, but will work fundamentally different than what we’re used to.
They will also have fundamentally different capabilities and will be applied in very different ways. Quantum computing, for example, will be able to simulate physical systems, which may revolutionize sciences like chemistry, materials research and biology. Neuromorphic chips may be thousands of times more energy efficient than conventional chips, opening up new possibilities for edge computing and intelligent materials.
There is still a lot of work to be done to make these technologies useful. To be commercially viable, not only do important applications need to be identified, but much like with classical computers, an entire generation of professionals will need to learn how to use them. That, in truth, may be the most significant hurdle.
Ethics For AI And Genomics
Artificial intelligence, once the stuff of science fiction, has become an everyday technology. We speak into our devices as a matter of course and expect to get back coherent answers. In the near future, we will see autonomous cars and other vehicles regularly deliver products and eventually become an integral part of our transportation system.
This opens up a significant number of ethical dilemmas. If given a choice to protect a passenger or a pedestrian, which should be encoded into the software of a autonomous car? Who gets to decide which factors are encoded into systems that make decisions about our education, whether we get hired or if we go to jail? How will these systems be trained? We all worry about who’s educating our kids, but who’s teaching our algorithms?
Powerful genomics techniques like CRISPR open up further ethical dilemmas. What are the guidelines for editing human genes? What are the risks of a mutation inserted in one species jumping to another? Should we revive extinct species, Jurassic Park style? What are the potential consequences?
What’s striking about the moral and ethical issues of both artificial intelligence and genomics is that they have no precedent, save for science fiction. We are in totally uncharted territory. Nevertheless, it is imperative that we develop a consensus about what principles should be applied, in what contexts and for what purpose.
Closing A Perpetual Skills Gap
Education used to be something that you underwent in preparation for your “real life.” Afterwards, you put away the schoolbooks and got down to work, raised a family and never really looked back. Even today, Pew Research reports that nearly one in four adults in the US did not read a single book last year.
Today technology is making many things we learned obsolete. In fact, a study at Oxford estimated that nearly half of the jobs that exist today will be automated in the next 20 years. That doesn’t mean that there won’t be jobs for humans to do, in fact we are in the midst of an acute labor shortage, especially in manufacturing, where automation is most pervasive.
Yet just as advanced technologies are eliminating the need for skills, they are also increasingly able to help us learn new ones. A number of companies are using virtual reality to train workers and finding that it can boost learning efficiency by as much as 40%. IBM, with the Rensselaer Polytechnic Institute, has recently unveiled a system that help you learn a new language like Mandarin. This video shows how it works.
Perhaps the most important challenge is a shift in mindset. We need to treat education as a lifelong need that extends long past childhood. If we only retrain workers once their industry has become obsolete and they’ve lost their jobs, then we are needlessly squandering human potential, not to mention courting an abundance of misery.
Shifting Value To Humans
The industrial revolution replaced the physical labor of humans with that of machines. The result was often mind-numbing labor in factories. Yet further automation opened up new opportunities for knowledge workers who could design ways to boost the productivity of both humans and machines.
Today, we’re seeing a similar shift from cognitive to social skills. Go into a highly automated Apple Store, to take just one example, and you don’t see a futuristic robot dystopia, but a small army of smiling attendants on hand to help you. The future of technology always seems to be more human.
In much the same way, when I talk to companies implementing advanced technologies like artificial intelligence or cloud computing, the one thing I constantly hear is that the human element is often the most important. Unless you can shift your employees to higher level tasks, you miss out on many of the most important benefits
What’s important to consider is that when a task is automated, it is also democratized and value shifts to another place. So, for example, e-commerce devalues the processing of transactions, but increases the value of things like customer service, expertise and resolving problems with orders, which is why we see all those smiling faces when we walk into an Apple Store.
That’s what we often forget about innovation. It’s essentially a very human endeavor and, to measure as true progress, humans always need to be at the center.
— Article courtesy of the Digital Tonto blog and previously appeared on Inc.com
— Image credits: Pixabay
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Strategic foresight is an essential discipline for organizations aiming to navigate an increasingly complex and uncertain future. It involves a systematic exploration of potential futures to inform strategic decision-making. This approach enables organizations to anticipate changes, identify opportunities, and mitigate risks, thereby ensuring their long-term sustainability and competitiveness.
In my role at Manyone, I am intrigued by how the skills of strategic foresight can be combined with my previous work and research on topics such as innovation, collaboration, mindset dynamics, leadership, team dynamics, strategic HR, and organizational development, including change management and transformation.
Over the next few months, I plan to delve deeper into this integration and share my thoughts, ideas, and perspectives on how we can better utilize these combined insights in our organizations today. I greatly value your input and look forward to an engaging dialogue!
To begin, I would like to present some key elements for implementing strategic foresight in an organization, accompanied by a brief explanation and some key questions for consideration:
1. Leadership Commitment and Involvement: The involvement of top leadership is crucial in strategic foresight. Their commitment legitimizes the process and ensures necessary resources are allocated. Leaders should actively participate and promote foresight, integrating it into the strategic agenda and encouraging organization-wide engagement.
How can we ensure continuous leadership support for foresight initiatives?
What role can leaders play in embedding foresight into the organizational culture?
How can top executives model and advocate for strategic foresight within the organization?
How can our leadership teams as well as the individuals in them best gain value from strategic foresight initiatives?
2. Cultural Alignment and Change Management: An organizational culture supportive of foresight is key. Cultures that value long-term thinking and are open to new ideas facilitate successful foresight activities. It may require managing cultural change to challenge existing assumptions and norms.
What cultural barriers exist to implementing strategic foresight?
How can we foster a culture that values and supports long-term thinking?
What change management strategies are needed to align the culture with foresight practices?
How can we use strategic foresight to enhance internal and external communication in this context?
3. Building Internal Foresight Capabilities: Developing internal foresight expertise ensures the organization can continually engage in foresight activities. Training staff and integrating foresight practices into regular activities are critical for building and sustaining these capabilities.
What training or development is needed to build foresight skills within our team?
How can foresight be integrated into existing roles and responsibilities?
What resources are required to sustain internal foresight capabilities over time?
Who from the outside can help us learn more about and build these internal capabilities?
4. Cross-Functional Collaboration: Collaborating across different departments enhances the foresight process with diverse insights. Effective foresight requires input from various functional areas to ensure a comprehensive understanding of potential futures.
How can we facilitate cross-departmental collaboration in the foresight process?
What structures or processes are needed for effective cross-functional integration?
How do we ensure representation and participation from all relevant departments?
5. Scenario Development and Utilization: Developing diverse, plausible scenarios is central to foresight. These scenarios aid organizations in exploring and preparing for various futures, enhancing decision-making under uncertainty.
How do we develop and select relevant and diverse scenarios?
How will these scenarios be used to inform decision-making and strategy?
What processes should be established for regularly reviewing and updating scenarios?
How do we create “living artifacts” that allow us to test out as well as create action steps based on the scenarios?
6. Feedback Loops and Responsive Adjustments: Strategic foresight is dynamic, requiring ongoing refinement. Establishing feedback mechanisms allows for continual adjustment of foresight activities and strategies based on new information and outcomes.
What feedback mechanisms can be established to assess our foresight activities?
How can we ensure our strategies remain responsive to new foresight insights?
What processes are in place for adjusting our approach based on feedback?
7. Aligning Foresight with Strategic Execution: Integrating foresight into strategic execution ensures that long-term insights shape operational planning. This alignment is essential for a proactive and prepared approach to future challenges and opportunities.
How will foresight insights be translated into actionable strategies?
What steps will ensure foresight is integrated into operational planning?
How can we track and measure the impact of foresight on strategic execution?
8. Communication Strategies: Effective communication of foresight findings ensures understanding and engagement across the organization. A clear communication strategy is essential for fostering a shared vision of the future and coordinated action.
How do we effectively communicate foresight findings throughout the organization?
What communication channels and methods will be most effective?
How can we use foresight to foster organizational alignment and shared understanding and in particular in the context of change management and transformation?
9. Balancing Short-term and Long-term Perspectives: Balancing immediate operational needs with long-term foresight is challenging but essential. Organizations must develop tools and processes to ensure short-term decisions are informed by long-term insights.
How can we balance immediate business needs with long-term strategic foresight?
What tools or methods can help align short-term decisions with long-term insights?
How do we manage tensions between short-term and long-term objectives?
10. Evaluating External Partnerships: External partnerships can enhance an organization’s foresight capabilities, providing additional insights and expertise. Selecting and evaluating these partnerships carefully ensures they complement internal efforts.
How do we identify and select appropriate external partners for foresight activities?
What criteria will we use to evaluate the effectiveness of these partnerships?
How do we ensure external partnerships are aligned with our strategic objectives?
Of course, this overview is just the beginning. There are many more facets to strategic foresight, and each organization will have its unique perspective, shaped by distinct opportunities and challenges.
I encourage you to use this primer as a starting point to spark deeper conversations about strategic foresight within your organization. Let it be a catalyst for exploring how these concepts can be tailored to your specific context and goals.
If you find these insights resonate with you, or if you’re eager to delve further into how strategic foresight can transform your organization, I welcome the opportunity to connect and explore these possibilities together. Feel free to reach out for a more in-depth discussion.
Image Credit: Pixabay, Stefan Lindegaard (Manyone)
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Company leaders deserve to know the truth, but they can no longer take the time to learn it.
Company leaders are pushed too hard to grow the business and can no longer take the time to listen to all perspectives, no longer take the time to process those perspectives, and no longer take the time to make nuanced decisions. Simply put, company leaders are under too much pressure to grow the business. It’s unhealthy pressure and it’s too severe. And it’s not good for the company or the people that work there.
What’s best for the company is to take the time to learn the truth.
Getting to the truth moves things forward. Sure, you may not see things correctly, but when you say it like you see it, everyone’s understanding gets closer to the truth. And when you do see things clearly and correctly, saying what you see moves the company’s work in a more profitable direction. There’s nothing worse than spending time and money to do the work only to learn what someone already knew.
What’s best for the company is to tell the truth as you see it.
All of us have good intentions but all of us are doing at least two jobs. And it’s especially difficult for company leaders, whose responsibility is to develop the broadest perspective. Trouble is, to develop that broad perspective sometime comes at the expense of digging into the details. Perfectly understandable, as that’s the nature of their work. But subject matter experts (SMEs) must take the time to dig into the details because that’s the nature of their work. SMEs have an obligation to think things through, communicate clearly, and stick to their guns. When asked broad questions, good SMEs go down to bedrock and give detailed answers. And when asked hypotheticals, good SMEs don’t speculate outside their domain of confidence. And when asked why-didn’t-you’s, good SMEs answer with what they did and why they did it.
Regardless of the question, the best SMEs always tell the truth.
SMEs know when the project is behind. And they know the answer that everyone thinks will get the project get back on schedule. And the know the truth as they see it. And when there’s a mismatch between the answer that might get the project back on schedule and the truth as they see it, they must say it like they see it. Yes, it costs a lot of money when the project is delayed, but telling the truth is the fastest route to commercialization. In the short term, it’s easier to give the answer that everyone thinks will get things back on track. But truth is, it’s not faster because the truth comes out in the end. You can’t defy the physics and you can’t transcend the fundamentals. You must respect the truth. The Universe doesn’t care if the truth is inconvenient. In the end, the Universe makes sure the truth carries the day.
We’re all busy. And we all have jobs to do. But it’s always the best to take the time to understand the details, respect the physics, and stay true to the fundamentals.
When there’s a tough decision, understand the fundamentals and the decision will find you.
When there’s disagreement, take the time to understand the physics, even the organizational kind. And the right decision will meet you where you are.
When the road gets rocky, ask your best SMEs what to do, and do that.
When it comes to making good decisions, sometimes slower is faster.
Image credit: Unsplash
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When reaching out for customer service and support, most customers still prefer to communicate with a company or brand via the traditional phone call. That said, more and more customers are attracted to and embracing a do-it-yourself customer service experience, known as self-service.
I had a chance to sit down with Venk Korla, the president and CEO of HGS Digital, which recently released its HGS Buyers Insight Report. We talked about investments CX (customer experience) leaders are making into AI and digital self-support and the importance of creating a similar experience for employees, which will get to in a moment. But first, I want to share some comments Korla made about comparing customer service to an IKEA experience.
The IKEA Effect
The IKEA effect was identified and named by Michael I. Norton of Harvard Business School, Daniel Mochon of Yale and Dan Ariely of Duke, who published the results of three studies in 2011. A short description of the IKEA effect is that some customers not only enjoy putting furniture together themselves but also find more value in the experience than if a company delivered pre-assembled furniture.
“It’s the same in the customer service/support world,” Korla said. “Customers who easily resolve their issues or have their questions answered on a brand’s self-service portal, either through traditional FAQ pages on a website or something more advanced, such as AI-powered solutions, will not only be happy with the experience but will also be grateful to the company for providing such an easy, fulfilling experience.”
To support this notion, our customer service research (sponsored by RingCentral) found that even with the phone being the No. 1 way customers like to interact with brands, 26% of customers stopped doing business with a company or brand because self-service options were not provided. (Note: Younger generations prefer self-service solutions more than older generations.) As the self-service experience improves, more will adopt it as their go-to method of getting questions answered and problems resolved.
The Big Bet On AI
In the next 18 months, CX decision-makers are betting big on artificial intelligence. The research behind the HGS Buyers Insight Report found that 37% of the leaders surveyed will deploy customer-facing chatbots, 30% will use generative AI or text-speech solutions to support employees taking care of customers, and 28% will invest in and deploy robotic process automation. All of these investments are meant to improve both the customer and employee experience.
While Spending On CX Is A Top Priority, Spending On Employee Experience (EX) Is Lagging
Korla recognizes the need to support not only customers with AI, but also employees. Companies betting on AI must also consider employees as they invest in technology to support customers. Just as a customer uses an AI-powered chatbot to communicate using natural language, the employee interacting directly with the customer should be able to use similar tools.
Imagine the customer support agent receives a call from a customer with a difficult question. As the customer describes the issue, the agent inputs notes into the computer. Within seconds, the agent has the answer to the question appear on their screen. In addition, the AI tool shares insights about the customer, such as their buying patterns, how long they have been a customer, what they’ve called about in the past and more. At this point, a good agent can interpret the information and communicate it in the style that best suits the customer.
Korla explains that the IKEA effect is just as powerful for employees as it is for customers. When employees are armed with the right tools to do their jobs effectively, allowing them to easily support customers and solve their most difficult problems, they are more fulfilled. In the HGS report, 54% of CX leaders surveyed cited talent attraction and retention as a top investment priority. So, for the company that invests in EX tools—specifically AI and automation—the result translates into lower turnover and more engaged employees.
Korla’s insights highlight the essence of the IKEA effect in creating empowering customer experiences and employee experiences. He reminds us that an amazing CX is supported by an amazing EX. As your company prepares to invest in AI and other self-service tools for your customers, consider an investment in similar tools for your employees.
Download the HGS Buyers Insight Report to find out what CX decision-makers will invest in and focus on for 2024 and beyond.
Image Credits: Pixabay
This article originally appeared on Forbes.com
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Performance management is a tool for managing Performance Zone commitments. These are the outcomes and deliverables that your organization, or for that matter you yourself, are being funded to deliver. In the Vision, Value, Methods, Obstacles, and Measures (V2MOM) framework, they will be represented by one or more of your Methods and will be tied directly to a corresponding set of Measures.
The primary goal of performance management is to ensure success in meeting such commitments. This includes early detection of things going off track—hence the need for frequent check-ins. It includes coaching and mentoring to help team members succeed—something we all need at one time or another. It asks us all to balance empathy for times when people don’t succeed with accountability for the need to succeed. People need help when they are down, but it is not fair to continue to accept funding for outcomes that do not get delivered.
When people under-deliver against their commitments, nobody wins. Most importantly, and this is something a lot of people miss, the person who is under-delivering is not winning. When coaching and mentoring are not getting them to success, the likelihood is that they are in the wrong role. Keeping them in that role, which we sometimes think of as protecting them, just prolongs the agony. A far better response is to step back and assess what would be the right role for this person, whether it be another one on the same team, or one on a different team, or one in another organization, or one in another company. The point is, rather than obsessing about what they are doing badly, we need to focus instead on what they could be really good at and get them into that role as swiftly as possible.
Let me be even more clear. It is obvious that when under-performing folks are kept in a role, everyone else on the team has to work harder. What is not so obvious is that when under-performing folks move on, even if their roles are not back-filled, the team discovers it has less work to do! The reason is that under-performing people absorb everyone else’s time. After all, they are trying to help, they just aren’t succeeding. And since helping teammates is baked into collaborative cultures, we give them extra time even though it is not productive to do so.
Again, nobody is winning here. We need an intervention. In this context, policies that call for managing out the bottom five percent are simply a heuristic that says, in any organization at any time, there are bound to be some number of round pegs in square holes, and leaving them in place doesn’t help anyone.
So, why then do we still bristle at the notion of performance management? There’s a ton of psychology behind this question, more than I am competent to address, but the net effect is that performance management puts enormous pressure on a set of social skills many of us lack. That’s not going to change anytime soon, so we should not be surprised at our reluctance to engage. But it is not OK to dodge our responsibilities either. Our best bet, in my view, is to bake into our protocol a discussion of positive next steps that includes concrete recommendations, and cope with our emotional challenges as best we can.
That’s what I think. What do you think?
Image Credit: Unsplash
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It’s easy to get caught up in the hunt for unique insights that will transform your business, conquer your competition, and put you on an ever-accelerating path to growth. But sometimes, the most valuable insights can come from listening to customers in their natural environment. That’s precisely what happened when I eavesdropped on a conversation at a local pizza joint. What I learned could be worth millions to your business.
A guy walked into a pizza place.
Last Wednesday, I met a friend for lunch. As usual, I was unreasonably early to the local wood-fired pizza joint, so I settled into my chair, content to spend time engaged in one of my favorite activities – watching people and eavesdropping on their conversations.
Although the restaurant is on the main street of one of the wealthier Boston suburbs, it draws an eclectic crowd, so I was surprised when a rather burly man in a paint-stained hoodie flung open the front door. As he stomped to the take-out order window, dust fell from his shoes, and you could hear the clanging of tools in his tool belt. He placed his order and thumped down at the table next to me.
A Multi-Million Dollar Chat
He pulled out his cell phone and made a call. “Hey, yeah, I’m at the pizza place, and they need your help. Yeah, they hate their current system, but they don’t have the time to figure out a new one or how to convert. Yeah, ok, I’ll get his number. Ok if I give him yours. Great. Thanks.”
A few minutes later, his order was ready, and the manager walked over with his pizza.
Hoodie-guy: “Hey, do you have a card?”
Manager: “No, I don’t. Something I can help you with?”
H: “I just called a friend of mine. He runs an IT shop, and I told him you’re using the RST restaurant management system, and you hate it…”
M: “I hate it so much…”
H: “So my buddy’s business can help you change it. He’s helped other restaurants convert away from RST, and he’d love to talk to you or the owner.”
M: “I’m one of the co-owners, and I’d love to stop using RST, but we use it for everything – our website, online ordering, managing our books, everything. I can’t risk changing.”
H: “That’s the thing, my friend does it all for you. He’ll help you pick the new system, set it up, migrate you from the other system, and ensure everything runs smoothly. You have nothing to worry about.”
M: “That would be amazing. Here’s my direct line. Have him give me a call. And if he’s good, I can guarantee you that every other restaurant on this street will change, too. We all use RST, and we all hate it. We even talked about working together to find something better, but no one had time to figure everything out.”
They exchanged numbers, and the hoodie guy walked out with his pizza. The manager/owner walked back to the open kitchen, told his staff about the conversation, and they cheered. Cheered!
Are You Listening?
In just a few minutes of eavesdropping, I uncovered a potential goldmine for a B2B business – 15 frustrated customers, all desperate to switch from a system they hate but unable to do so due to time and resource constraints. The implications are staggering – an entire local market worth tens of millions of dollars ripe for the taking simply by being willing to listen and offer a solution.
As a B2B leader, the question is: are you truly tapping into the insights right in front of you? When was the last time you left your desk, observed your customers in their natural habitat, and listened to their unvarnished feedback? If you’re not doing that, you’re missing out on opportunities that could transform your business.
The choice is yours. Will you stay in your office and rely on well-worn tools, or venture into the wild and listen to your customers? Your answer could be worth millions.
Image credit: Pixabay
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Drum roll please…
