Creating an Innovation Mantra

GUEST POST from Mike Shipulski

We have an immense distaste for uncertainty. And, as a result, we create for ourselves a radical and unskillful overestimation of our ability to control things. Our distaste of uncertainty is really a manifestation of our fear of death. When we experience and acknowledge uncertainty, it’s an oblique reminder that we will die. And that’s why talk ourselves into the belief we can control thing we really cannot. It’s a defense mechanism that creates distance between ourselves and from feeling our fear of death. And it’s the obliquity that makes it easier to overestimate our ability to control our environment. Without the obliquity, it’s clear we can’t control our environment, the very thing we wake up to every morning, and it’s clear we can’t control much. And if we can’t control much, we can’t control our aging and our ultimate end. And this is why we reject uncertainty at all costs.

Predictable, controllable, repeatable, measurable – overt rejections of uncertainty. Six Sigma – Measure, Analyze, Improve, Control – overt rejection of uncertainty. Standard work – rejection of uncertainty. Don’t change the business model – a rejection of uncertainty. A rejection of novelty is a rejection of uncertainty. And that’s why we don’t like novelty. It scares us deeply. And it scares us because it reminds us that everything changes, including our skin, joints, and hairline. And that’s why it’s so challenging to do innovation.

Innovation reminds us of our death and that’s why it’s difficult? Really? Yes.

Six Sigma is comforting because its programmatic illusion of control lets us forget about our death? Yes.

The aging business model reminds us of our death and that’s why we won’t let it go? Yes.

That’s crazy! Yes, but at the deepest level, I think it’s true.

I understand if you disagree with my rationale. And I understand if you think my thinking is morbid. If that’s the case, I suggest you write down why you think it’s so incredibly difficult to create a new business model, to do novel work, or to obsolete your best work. I’ll stop for a minute to give you time to grab a pen and paper. Okay, now put your pen to paper and write down why doing innovation (doing novel work) is so difficult. Now, ask yourself why that is. And do that three more times. Where did you end up? What’s the fundamental reason why doing new work (and the uncertainty that comes with it) is so difficult to do?

To be clear, I’m not advocating that you tell everyone that innovation is difficult because it reminds them that they’ll die. I explained my rationale to give you an idea of the magnitude of the level of fear around uncertainty so that, when someone is scared to death of novelty, you might help them navigate their fear.

Trying something new doesn’t invalidate what you did over the last decade to grow your business, nor will it replace it immediately, if it all. Maybe the new work will add to what you’ve done over the last decade. Maybe the new work will amplify what’s made you successful. Maybe the new work will slowly and effectively migrate your business to greener pastures. And maybe it won’t work at all. Or, maybe your customers will make it work and bury you and your business.

With innovation, start small. That way the threat is smaller. Run small experiments and share the results, especially the bad results. That way you demonstrate that unanticipated results don’t kill you and, when you share them, you demonstrate that you’re not afraid of uncertainty. Try many things in parallel to demonstrate that it’s okay that everything doesn’t turn out well and you’re okay with it. And when someone asks what you’ll do next, tell them “I don’t know because it depends on how the next experiment turns out.”

When you’re asked when you’ll be done with an innovation project, tell them “I don’t know because the work has never been done before.” And if they say you must give them a completion date, tell them “If you must have a completion date, you do the project.”

When you’re running multiple experiments in parallel and you’re asked what you’ll do next, tell them you’ll do “more of what works and less of what doesn’t.” And if they say “that’s not acceptable”, then tell them “Well, then you run the project.”

We don’t have nearly as much control as our minds want to us believe, but that’s okay as long as we behave like we know it’s true. Uncertainty is uncomfortable, but that’s not a bad thing. In fact, I think it’s a good thing.

If people aren’t afraid, there can be no uncertainty. And if there’s no uncertainty, there can be no novelty. And if there’s no novelty, there can be no innovation. If people aren’t afraid, you’re doing it wrong.

As a leader, tell them you’re afraid but you’re going to do it anyway.

As a leader, tell your team that it’s natural to be afraid and their fear is a leading indicator of innovation.

As a leader, tell them there’s one thing you’re certain about – that innovation is uncertain.

And when things get difficult, repeat the Innovation Mantra: Be afraid and do it anyway.

Image credit: Pixabay

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Win Customers Not Arguments

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Win Customers Not Arguments

GUEST POST from Shep Hyken

In a confrontation with a customer, you have a goal: win the customer, not the argument. I’ve written about this before, and it’s worth coming back to this topic from another angle with a different example.

First, an interaction with a customer should never result in an argument. The best people in customer service, sales, or any front-line customer-facing job avoid escalating a confrontation to the level of a dispute. Instead, the best people de-escalate a confrontation to a mutually agreeable solution.

Here’s what I witnessed this week. I was on a plane and noticed that the flight attendant greeting passengers was more interested in telling passengers the rules than offering a warm, friendly greeting as people boarded the plane. There was a woman with a small pack strapped to her belt. It was maybe an inch thick and barely larger than a cell phone. It probably held her phone and maybe her wallet, but it wasn’t big enough for anything else.

Rather than the flight attendant saying, “Welcome aboard,” he pointed at her belt and said, “That’s going to have to go in the overhead or under the seat.”

The passenger said, “I’ve been flying with this for 15 years, and nobody has ever asked me to remove it from my belt.”

The flight attendant replied, “I’ve been flying for 20 years, and I know the rules.”

Shep Hyken Win the Customer Cartoon

So much for trying to win the customer. As I watched this, it was hard for me not to go to the flight attendant to introduce myself and suggest an alternative response that might have been friendlier and helped him convey his message. First, he could have extended a warm greeting. Then, he could have worded his statement as a friendly request rather than an order.

How is this different from what I’ve written about in the past? First, the customer (or passenger) didn’t walk on the plane with a bad attitude. She wasn’t coming into the conversation upset or angry. She didn’t have a complaint that eventually could turn into an argument. The opposite was happening. The flight attendant started it. Even if he was right and had to enforce a rule, he could have approached his request in a friendly manner that included an attitude of diplomacy and an explanation. Instead, he started the confrontation with an aggressive tone and a command that put the customer on the defensive and made the passengers around her uncomfortable.

There’s no good ending to this story. The passenger complied, but the employee never made things right. His angry and militant attitude continued throughout the flight.

It’s not about who’s right and who’s wrong. It’s not about blame. It’s about a customer-focused, friendly approach that doesn’t taint the experience.

Image Credits: Shep Hyken, Pexels

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What is Digital Transformation anyway?

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Digital Transformation is the third wave of digital evolution.

What is Digital Transformation anyway?

GUEST POST from Howard Tiersky

The first wave was brochureware. Enterprises created websites that communicated their story. As simple as this idea is, it was revolutionary. The business value of providing instant sales and marketing material at the click of a mouse is hugely valuable.

The second wave was eCommerce. Enterprises connected customer-facing digital front-ends to their back-end systems, so that customers could engage in transactions directly via their browser or mobile device. This wave generated much more value than brochureware, because it reduced the cost of customer interaction, and removed friction from the user experience. Businesses who have mastered eCommerce have been able to trump former market leaders. In today’s world, if you can’t provide elegant digital options for the customer throughout their entire journey, you’re toast.

Now we find ourselves in the third wave: Digital Transformation. eCommerce added new pathways for pre-existing offerings, but companies going through digital transformation need to reinvent themselves for a digital age. Netflix made the transition from being a mail-order company to a streaming company. Though they still focus on their core value proposition of providing extended choices and increased convenience, their entire solution offering had to shift, along with their customer experience, pricing, contracts with suppliers, marketing, and more. Furthermore, given new methods of interacting with the consumer, it became practical for them to focus serious resources on content creation, as well. While the Netflix DVD-by-mail service was definitely eCommerce enabled (i.e. you could order DVDs via their web site), their digitally transformed value proposition is fundamentally impossible without digital.

Uber is doing the same thing for transportation. While plenty of taxi and limousine companies have apps that allow you to order their vehicles, Uber created a business model that was completely digitally focused. This meant that they didn’t need to own any vehicles or hire any drivers to become the largest ground transportation company in the world. It’s worth noting that Uber didn’t really go through a digital transformation, it was born digital. Digital Transformation is what pre-digital companies must undertake to compete in the newest wave of the digital age.

But even those companies that are “born digital” will need to focus on ongoing transformation. There are multiple examples of early digital successes, companies like Yahoo and MySpace, that failed to continue to transform.

Digital Transformation also requires a different mindset around where digital “lives” within the organization. You can visualize the way digital transformation works in the enterprises like this:

Wave 1 – Brochureware: Digital was part of marketing.
Wave 2 – eCommerce: Digital is a support service, creating digital pathways to pre-existing services like ordering, customer support, and billing.
Wave 3 – Digital Transformation: Digital reimagines the entire value proposition and business model of the company.

The goal of Digital in Wave 2 is to support the strategy and operations of the company by augmenting non-digital channels with more efficient and elegant digital alternatives. But in Wave 3, digital is driving the bus. The entire company — its value proposition and business model — is reimagined with digital at the center. This requires some substantial shifts in organizational structure, roles, and mindset; these shifts make companies hesitant to move towards true digital transformation. They engage in what is sometimes called Digital Decoration, that makes them seem progressive while protecting the “integrity” of their legacy business structures.

This is a losing strategy. There’s a long history of companies who decided to protect their existing models over supporting new ones. Kodak suffocated its early digital camera products; Blockbuster resisted focusing on digital delivery of entertainment. Western Union scoffed at the telephone.

In fact, here’s an example of an internal memo sent at Western Union:

“Why would any person want to use this ungainly and impractical device [a telephone] when he can send a messenger to the telegraph office and have a clear written message sent to any large city in the United States?”

Western Union opted out of the “digital transformation” of its era and I predict the same outcome for pre-digital companies who take a similar approach.

This article originally appeared on the Howard Tiersky blog
Image Credit: Pexels

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Customer Journeys and the Technology Adoption Lifecycle

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Customer Journeys and the Technology Adoption Lifecycle

GUEST POST from Geoffrey A. Moore

Like everything else in this Darwinian world of ours, customer journeys evolve with changes in the environment. Ever since the advent of the semiconductor, a compelling source of such changes has been disruptive digital technology. Although we are all eager to embrace its benefits, markets must first work through their adoption life cycles, during which different buying personas come to the fore at different stages, with each one on a very different kind of journey.

So, if you plan to catch the next wave and sell the next big thing, you’re going to need to adjust your customer journey playbook as you go along. Here’s a recap of what is in store for you.

Customer Journeys in the Early Market

The early market buying personas are the visionary and the technology enthusiast, the former eager to leverage disruption to gain first-mover competitive advantage, the latter excited to participate in the latest and greatest thing. Both are on a journey of discovery.

Technology enthusiasts need to get as close to the product as possible, seeing demos and alpha-testing prototypes as soon as they are released. They are not looking to be sold (for one thing, they have no money)—they are looking to educate themselves in order to be a reliable advisor to their visionary colleague. The key is to garner them privileged access to the technical whizzes in your own enterprise and, once under NDA, to share with them the wondrous roadmap you have in mind.

Visionaries are on a different path. They want to get as clear an understanding as possible of what makes the disruptive technology so different, to see whether such a difference could be a game changer in their circumstances. This is an exercise in imagineering. It will involve discussing hypothetical use cases, and applying first principles, which means you need to bring the smartest people in your company to the table, people who can not only communicate the magic of what you have but who can also keep up with the visionary’s vision as well.

Once this journey is started, you need to guide it toward a project, not a product sale. It is simply too early to make any kind of product promise that you can reliably keep. Not only is the paint not yet dry on your own offer, but also the partner ecosystem is as yet non-existent, so the only way a whole product can be delivered is via a dedicated project team. To up the stakes even further, visionaries aren’t interested in any normal productivity improvements, they are looking to leapfrog the competition with something astounding, so a huge amount of custom work will be required. This is all well and good provided you have a project-centric contract that doesn’t leave you on the hook for all the extra labor involved.

Customer Journeys to Cross the Chasm

The buying personas on the other side of the chasm are neither visionaries nor technology enthusiasts. Rather, they are pragmatists, and to be really specific, they are pragmatists in pain. Unlike early market customers, they are not trying to get ahead, they are trying to get themselves out of a jam. In such a state, they could care less about your product, and they do not want to meet your engineers or engage in any pie-in-the-sky discussions of what the future may hold. All they want to do is find a way out of their pain.

This is a journey of diagnosis and prescription. They have a problem which, given conventional remedies, is not really solvable. They are making do with patchwork solutions, but the overall situation is deteriorating, and they know they need help. Sadly, their incumbent vendors are not able to provide it, so despite their normal pragmatist hesitation about committing to a vendor they don’t know and a solution that has yet to be proven, they are willing to take a chance—provided, that is, that:

you demonstrate that you understand their problem in sufficient depth to be credible as a solution provider, and
that you commit to bringing the entire solution to the table, even when it involves orchestrating with partners to do so.

To do so, your first job is to engage with the owner of the problem process in a dialog about what is going on. During these conversations, you demonstrate your credibility by anticipating the prospective customer’s issues and referencing other customers who have faced similar challenges. Once prospects have assured themselves that you appreciate the magnitude of their problem and that you have expertise to address its challenges, then (and only then) will they want to hear about your products and services.

As the vendor, therefore, you are differentiating on experience and domain expertise, ideally by bringing someone to the table who has worked in the target market segment and walked in your prospective customer’s shoes. Once you have established credibility by so doing, then you must show how you have positioned the full force of your disruptive product to address the very problem that besets your target market. Of course, you know that your product is far more capable than this, and you also know you have promised your investors global domination, not a niche market solution. But for right now, to cross the chasm, you forsake all that and become laser-focused on demolishing the problem at hand. Do that for the first customer, and they will tell others. Do that for the next, and they will tell more. By the time you have done this four or five times, your phone will start ringing. But to get to this point, you need to be customer-led, not product-led.

Customer Journeys Inside the Tornado.

The tornado is that point in the technology adoption life cycle when the pragmatist community shifts from fear of going too soon to fear of missing out. As a consequence, they all rush to catch up. Even without a compelling first use case, they commit resources to the new category. Thus, for the first time in the history of the category, prospective customers have budget allocated before the salesperson calls. (In the early market, there was no budget at all—the visionary had to create it. In the chasm-crossing scenario, there is budget, but it is being spent on patchwork fixes with legacy solutions and needs to get reallocated before a deal can be closed.)
Budget is allocated to the department that will purchase and support the new offer, not the ones who will actually use it (although they will no doubt get chargebacks at some point). That means for IT offerings the target customer is the technical buyer and the CIO, the former who will make the product decision, the latter who will make the vendor decision. Ideally, the two will coincide, but when they don’t, the vendor choice usually prevails.

Now, one thing we know about budgets is that once they have been allocated they will get spent. These customers are on a buying mission journey. They produce RFPs to let them compare products and vet companies, and they don’t want any vendor to get too close to them during the process. Sales cycles are super-competitive, and product bake-offs are not uncommon. This means you need to bring your best systems engineers to the table, armed with killer demos, supported by sales teams, armed with battle cards that highlight competitor strengths and weaknesses and how to cope with the former and exploit the latter. There is no customer intimacy involved.

What is at stake, instead, is simply winning the deal. Here account mapping can make a big difference. Who is the decision maker really? Who are the influencers? Who has the inside track? You need a champion on the inside who can give you the real scoop. And at the end of the sales cycle, you can expect a major objection to your proposal, a real potential showstopper, where you will have to find some very creative way to close the deal and get it off the table. That is how market share battles are won.

Customer Journeys on Main Street

On Main Street, you are either the incumbent or a challenger. If the latter, your best bet is to follow a variation on the chasm-crossing playbook, searching out a use case where the incumbent is not well positioned and the process owner is getting frustrated—as discussed above. For incumbents, on the other hand, it is a completely different playbook.

The persona that matters most on Main Street is the end user, regardless of whether they have budget or buying authority. Increasing their productivity is what creates the ROI that justifies any additional purchases, not to mention retaining the current subscription. This calls for a journey of continuous improvement.

Such a journey rewards two value disciplines on the vendor’s part—customer intimacy and operational excellence. The first is much aided by the advent of telemetry which can track product usage by user and identify opportunities for improvement. Telemetric data can feed a customer health score which allows the support team to see where additional attention is most needed. Supplying the attention requires operational excellence, and once again technology innovation is changing the game, this time through product-led prompts, now amplified by generative AI commentary. Finally, sitting atop such infrastructure is the increasingly powerful customer success function whose role is to connect with the middle management in charge, discuss with them current health score issues and their remediation, and explore opportunities for adding users, incorporating product extensions, and automating adjacent use cases.

Summing up

The whole point of customer journeys done right is to start with the customer, not with the sales plan. That said, where the customer is in their adoption life cycle defines the kind of journey they are most likely to be on. One size does not fit all, so it behooves the account team to place its bets as best it can and then course correct from there.
That’s what I think. What do you think?

Image Credit: Pixabay

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Big Companies Should Not Try to Act Like Startups

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Big Companies Should Not Try to Act Like Startups

GUEST POST from Greg Satell

In 2009, Jeffrey Immelt set out on a journey to transform his company, General Electric, into a 124 year old startup. Although it was one of the largest private organizations in the world, with 300,000 employees, he sought to become agile and nimble enough to compete with high-flying Silicon Valley firms.

It didn’t end well. In 2017, problems in the firm’s power division led to massive layoffs. Immelt was forced to step down as CEO and GE was kicked off the Dow after 110 years. The company, which was once famous for its sound management, saw its stock tank. Much like most startups, the effort had failed.

Somewhere along the line we got it into our heads that large firms can’t innovate and should strive to act like startups. The truth is that they are very different types of organizations and need to innovate differently. While large firms can’t move as fast as startups, they have other advantages. Rather than try to act like startups, they need to leverage what they have.

Driving Innovation At Scale

The aviation industry is dominated by big companies. With a typical airliner costing tens of millions of dollars, there’s not much room for rapid prototyping. It takes years to develop a new product and the industry, perhaps not surprisingly, moves slowly. Planes today look pretty much the same as ones made decades ago.

Looks, however, can be deceiving. To understand how the aviation industry innovates, consider the case of Boeing’s 787 Dreamliner. Although it may look like any other airplane, Boeing redesigned the materials within it. So a 787 is 20 percent lighter and 20 percent more efficient than similar models. That’s a significant achievement.

Developing advanced materials is not for the faint of heart. You can’t do it in a garage. You need deep scientific expertise, state-of-the-art facilities and the resources to work for years—and sometimes decades— to discover something useful. Only large enterprises can do that,

None of this means that startups don’t have a role to play. In fact one small company, Citrine Informatics, is applying artificial intelligence to materials discovery and revolutionizing the field. Still, to take on big projects that have the potential to make huge global impacts, you usually need a large enterprise.

Powering Startups

All too often, we see large enterprises and startups as opposite sides of the coin, with big companies representing the old guard and entrepreneurs representing the new wave, but that’s largely a myth. The truth is that innovation often works best when large firms and small firms are able to collaborate.

Scott Lenet, President of Touchdown Ventures, sees this first-hand every day. His company is somewhat unique in that, unlike most venture capital firms, it manages internal funds for large corporations. He’s found that large corporations are often seen as value added investors because of everything they bring to the table.

“For example,” he told me, “one of our corporate partners is Kellogg’s and they have enormous resources in technical expertise, distribution relationships and marketing acumen. The company has been in business for over 100 years and it’s learned quite a bit about the food business in that time. So that’s an enormous asset for a startup to draw on.”

He also points out that, while large firms tend to know how to do things well, they can’t match the entrepreneurial energy of someone striving to build their own business. “Startups thrive on new ideas,” Lenet says “and big firms know how to scale and improve those ideas. We’ve seen some of our investments really blossom based on that kind of partnership.”

Creating New Markets

Another role that large firms play is creating and scaling new markets. While small firms are often more agile, large companies have the clout and resources to scale and drive impact. That often also creates opportunities for entrepreneurs as well.

Consider the case of personal computers. By 1980, startups like Apple and Commodore had already been marketing personal computers for years, but it was mostly a cottage industry. When IBM launched the PC in 1981, however, the market exploded. Businesses could now buy a computer from a supplier that they knew and trusted.

It also created fantastic opportunities for companies like Microsoft, Intel and a whole range of entrepreneurs who flocked to create software and auxiliary devices for PCs. Later startups like Compaq and Dell created PC clones that were compatible with IBM products. The world was never the same after that.

Today, large enterprises like IBM, Google and Amazon dominate the market for artificial intelligence, but once again they are also creating fantastic opportunities for entrepreneurs. By accessing the tools that the tech giants have created through APIs, small firms can create amazing applications for their customers.

Innovation Needs Exploration

Clearly, large firms have significant advantages when it comes to innovation. They have resources, customer relationships and deep expertise to not only invent new things, but to scale businesses and bring products to market. Still, many fail to innovate effectively, which is why the average lifespan of companies on the S&P 500 continues to decline.

There’s no reason why that has to be true. The problem is that most large organizations spend so much time and effort fine-tuning their operations to meet earnings targets that they fail to look beyond their present business model. That’s not due to any inherent lack of capability, it’s due to a lack of imagination.

Make no mistake, if you don’t explore, you won’t discover. If you don’t discover you won’t invent and if you don’t invent you will be disrupted. So while you need to focus on the business at hand, you also need to leave some resources un-optimized so that you can identify and develop the next great opportunity.

A good rule of thumb to follow is 70-20-10. Focus 70% of your resources on developing your present business, 20% of your resources on opportunities adjacent to your current business, such as new markets and technologies and 10% on developing things that are completely new. That’s how you innovate for the long term.

— Article courtesy of the Digital Tonto blog and previously appeared on Inc.com
— Image credit: Pixabay

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Are You Testing Your Intuitions?

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Are You Testing Your Intuitions?

GUEST POST from Dennis Stauffer

Do you trust your intuitions? When you have a hunch, do you go with it or hold back? There’s been a long-running debate about which is the better strategy.

Some have claimed that top executives are at their best when they “go with their gut” or “follow their instincts.” They can give examples of when that’s turned out well for them. But what we don’t know is how often other intuitions may have turned out badly.

Trusting your intuitions can sometimes keep you safe. Some research has found that firefighters are well-served by their intuitions, because it helps them avoid danger. Women who are uneasy walking alone at night are advised to follow their intuitions.

That makes sense when you’re crossing a dark parking lot or at the scene of a fire. Being cautious when there might be no threat is better than being careless when there might be one. But that doesn’t mean those intuitions are accurate.

Innovators also have intuitions—and need to. Hunches about the value of an idea, or a sense of how customers will react. For an innovator, asking whether you should trust your intuitions is the wrong question. What needs to be asked instead is: How can I test my intuitions? What can I do to find out whether those feelings are reliable?

That’s one reasons innovators have a bias for action. Because acting on their ideas—in ways that will test them—is how they find out whether those ideas will work. That’s not only a more prudent approach than just following hunches; it’s excellent practice at evaluating the merits of your ideas. So over time, you become better at forming those hunches. Because you know how well it worked in the past, and maybe where you might have biases.

If you want to enhance your intuitions—and your innovativeness—don’t trust them or distrust them.

Test them.

View this post on video here if you prefer:

Image Credit: misterinnovation.com

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The Dark Underbelly of Success

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The Dark Underbelly of Success

GUEST POST from Mike Shipulski

Best practice – a tired recipe you recycle because you think the world is static.

Emergent practice – a new way to work created from whole cloth because the context is new.

Worst practice – a best practice applied to a world that has changed around you.

Novel practice– work that recognizes the world is a different place but is dismissed out-of-hand because everyone wants to live in the comfortable past.

Continuous improvement – when you try to put a shine on a tired, old process that worked ten years ago.

Discontinuous improvement – work that is disrespectful to the Status Quo and hurts people’s feelings.

Grow the core – when you do what you did in 2010 because you don’t know what else to do.

Obsolete your best work – when you do work that makes it clear to your customers that they should not have purchased your most successful product.

Reduce operating expense – what you do when you don’t know how to grow the top line and want to eliminate the flexibility to respond to an uncertain future.

Grow the top line – when you launch a new product that causes your customers to happily throw away the product they just bought from you.

A PowerPoint slide deck that defines your strategic plan – an electronic work product that distracts you from the reality of an ever-changing future.

A new product that is radically better than your last one – what you should create instead of a PowerPoint slide deck that defines your strategic plan.

MBA – a university degree that gives you a pedigree so companies hire you.

Ph.D. – a university degree that teaches you to learn, but takes too long.

Return On Investment (ROI) – a calculation that scuttles new work that would reinvent your business.

Imagination – thinking that will help you navigate an uncertain future, but is knee-capped by the ROI calculation.

Standard work – a process you used last time and will use next time because, again, you think the world is static.

Judgment – thinking that creates a whole new business trajectory to address an uncertain future but can get you fired if you use it.

A sustainable competitive advantage – a relic of a slow-moving world.

Continual change – the only way to deal with an ever-accelerating future.

Success – profits from work done by people who retired from your company some time ago.

Success – the thing that blocks you from working on the unproven.

Success – what pays the bills.

Success – what jeopardizes your ability to pay the bills in five years.

Success – why people think old practices are best practices.

Success – why new work is so difficult to do.

Success – why continuous improvement carries the day.

Success – why discontinuous improvement threatens.

Success – the mother of complacency.

Image credit: Pexels

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How Sales and Customer Experience Connect

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How Sales and Customer Experience Connect

GUEST POST from Shep Hyken

Customer service and customer experience (CX) are more than what happens after the sale. It’s not just a department to call when there is a problem. It actually begins long before a customer ever makes a purchase. Then, there’s the experience during the sales process and what happens after the sale, which could include a typical customer support call and more. Every interaction the customer has with us, from learning about our company, our marketing messages, the sales experience and then anything after the sale, is all part of the customer experience.

I’m often asked to be the keynote speaker at sales meetings. Most of the audience expects to learn a new sales technique or tactic; instead, I teach customer service and experience techniques and tactics. I refer to this as Selling with Service. I share how to create the experience that makes customers want to do business with the company, not just buy the product. That’s also the experience that gets customers to say, “I’ll be back!”

Customer Experience Department Cartoon by Shep Hyken

So, today, I have three tips for anyone who interacts with customers (not just salespeople) that will help you create an amazing customer experience.

Respond Fast – I love to talk about the Jimmy John’s experience. For those outside of the United States or those in the U.S. who aren’t fortunate enough to live near a Jimmy John’s, it is a chain of delicious fast-food restaurants known for its super speedy service. Whether you are ordering your sandwich in the store or having your meal delivered, you will experience what Jimmy John’s calls “freaky fast!” So, be “freaky fast” in responding to your customers’ calls or emails – or any other way customers reach out to you.
Always Do What You Say and More – One way to blow credibility is to not do what you promise. So, this is simple: Just do what you say you’ll do. The “and more” of this tip falls under the strategy of “UPOD,” which stands for the old saying, under-promise and over-deliver. If you say you’ll get back to a customer by the end of the day, get back to them a few hours earlier. By the way, if you create an expectation you plan to exceed, ensure the customer will still be happy if all you do is meet that expectation.
Be Prepared – If you want to frustrate your customers, be unprepared. Even if you’re not unprepared, you may exhibit behaviors that make you appear to be so. Being unprepared is a sign of disrespect toward your customers, and I don’t know any customer who enjoys doing business with someone who doesn’t respect them.

The commonality between sales and customer service/CX is not just about getting customers but keeping customers. These three tips I’ve shared are just the beginning. Over the years, I’ve shared hundreds of tips just like these. Regardless of what department or role you have with the company, your goals should be to create the experience that customers want and crave and to be so good they wouldn’t even think about taking a chance doing business anywhere else.

Image Credits: Shep Hyken, Unsplash

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Creating Organizational Agility

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Why is it that we need so much agility for digital transformation? The answer is simple: the speed of digital.

Creating Organizational Agility

GUEST POST from Howard Tiersky

Digital moves fast. Technology is changing rapidly, and changing customer expectations. Competitors are moving rapidly, and start-ups and tech companies are going after your customers. You have to be able to come up with new ideas, test them quickly in the market, make quick decisions about what you’re going to pursue or not pursue, and how you’re going to change and evolve.

Remember in the movie The Matrix, when the bullets are flying past Keanu Reeves? He’s able to move very quickly, sensing which direction a threat is coming from, and adjusting his movements to successfully avoid them. That is the kind of agility that we need in the digital arena. It’s the kind of agility that most start-ups have, and many enterprises don’t.

What are some ways you can improve your organizational agility? In this article, we’ll discuss five specific types of agility that important for success in digital and digital transformation. We’ll also discover some of the things you can do. within the context of a large enterprise, to try and improve each of those types of agility.

Sensing

The first type of agility is the agility of sensing. But what does that mean? Imagine The Matrix. The first thing you have to focus on isn’t moving, but knowing what’s going on around you, so you can be alert and aware of all the things that might require action on your part. You can think of sensing agility in four major categories:

1. Customers

Ultimately, your customers’ behavior drives your success. Study their behavior on your websites, mobile applications, in stores, and through the other channels in which you interact with them. Be constantly measuring and watching their behavior. Agility in this area isn’t just how quickly you’re collecting data, but how nimble and agile you are in analyzing that data, and in understanding what it means so you can determine what actions to take.In addition to your own behavioral metrics, how else can you study your customer? Make sure to measure their ongoing satisfaction, survey them, conduct usability testing, and use data from third-party research that shows technographic, behavioral trends and psychographic trends. There are many sources of information to help you understand your customer segments and how they may be changing.

2. Technology

Technology is changing at a rate like never before, whether it’s wearable tech, big data, or virtual reality. Things like beacons and other network tools allow us to sense where our customers are with more accuracy than ever before. There are so many technologies that have the potential, at the right point in time and at the right level of maturity, to enable you to create a new value for your customer. Paying attention to and sensing these changes in the technology landscape will allow you to quickly figure out when they’ve reached a point where you can take action. If you don’t (or don’t move quickly enough), you can expect your competitors, traditional or start-up, to be doing just that.

3. Competitors

It’s critical to have to sense what your competitors are doing, and to constantly research competitive strategies. How are they changing their product mix or pricing? How are they changing their customer service, and where are they failing to deliver for their current, or might fail their future, customers? How are they communicating with your customers, to bring them over to their side?

4. Regulatory

Regulations are especially key if you’re in a heavily regulated industry (though, most industries are subject to some level of regulation.) As regulations change over time, they can change current opportunities, or even create new ones.

That’s a lot to pay attention to! How can you effectively put sensing programs in place? The first thing to remember is that simply gathering information is not sufficient. You need to gather the information, and then analyze it to develop actionable insights. Finally, you’ll need to social and share that information with your team.

When you break it down, there’s no big mystery on how to achieve a sensing culture. The main thing you need are resources that are both dedicated to these activities, and that have the right research and analytical skills. Recognize that a part of success in digital is to be constantly sensing, and create a culture where information from sensing is being communicated and disseminated on an ongoing basis. Encourage your people to voraciously consume information, and use it in actionable ways as they develop products and services to improve the digital experience of the customer.

Technology

The primary tool of the digital world is the tool of technology. Do the tools you have at your enterprise allow you to move quickly from an idea to a customer experience?

Generally, that’s not the experience in most enterprises; many struggle with technology stacks that were created in an era before we had the need for this level of agility. They may have been conceived with a certain kind of transactional process in mind that’s either no longer applicable or reflects only one of many different types of transactional processes that you need to support. Truthfully, a lot of aging technology needs to be replaced, or needs to be wrapped so that it can gain the necessary level of agility.

Here are three specific things you can do to help guide work between your business and IT departments and see how to move forward technology that you currently have supporting digital forward.

1. Requirements

What does requirements mean? Traditionally, the business side would define the requirements needed for a particular project on a particular channel and IT would build them for us (hopefully successfully!) The problem this model is that the end result is only what’s needed at that moment. Today, we need to be able to change, evolve, and adapt so quickly that process is too slow. If every time we realize what we need, we have to go back through a whole time-consuming IT build, things wouldn’t move quickly enough. When you’re thinking about requirements, don’t only think in the context of what you need today, but ask the broader question of the requirements for technological agility, and communicate that to your IT department.After all, the IT department and those responsible for implementing technology all need to understand what needs to be flexible — because you can’t make everything flexible. There needs to be ongoing dialogue to focus the requirements around the things that need to be able to change on an ongoing basis.

2. Software

Software as a service platform is a huge help for all of us trying to make technology more agile. Why? Because in the old days, a software product (something like a major piece of enterprise software,) would require hardware implementation. It could take a year or two to implement it, and the implementation would require massive customizations. The software would be expensive to buy, implement, and customize. And if you wanted to make a change? You’re talking about abandoning major investments.In today’s SAAS world, we’ve created much more flexibility by using an integration layer around our most core systems and data. We can plug in different tools, whether a shopping cart tool, CRM, data mining tool, or mobile capabilities added into our apps. If we build out our capabilities using these types of platforms, we can swap out and change things much more rapidly.
And with most of these SAAS platforms, we don’t have the issues associated with versions. Previously, if you were on one version of SAP, and you wanted to go to another version of SAP, it required a major headache of an upgrade. Today, versions build off core components in software. A product like SalesForce is constantly evolving and improving. Everyone is always on the most recent version of SalesForce, and you have a huge ecosystem of plug-ins and other code that’s designed to work with anyone’s implementation. That’s just one example of a SAAS platform that gives you an enormous amount of agility and flexibility, so it’s important to move yourself to SAAS platforms wherever possible.

3. Abstraction

You want your product development team, product owners, content creators, and marketers to be able to tweak and adjust the digital experience as much and as rapidly as possible. That means you want to try to abstract the capabilities up from the level of code.

There are three main areas of abstraction:

Content Management: It’s imperative to be able to publish and edit content without needing to go through IT. I know that might sound super obvious and kind of old school, but I constantly see large enterprises where key parts of the content ecosystem isn’t accessible from a business perspective, and always requires IT involvement. Don’t let that happen to you!
Presentation: It’s one thing to edit the content, but what if you want to change the layout? What if you want to change the process for content creation? Making those capabilities accessible to business users is possible with today’s experience management tools. We do a lot of work implementing these kinds of tools, and making sure that the business has the ability to make changes in the experience at their fingertips, and without having to go back to IT. This is a crucial capability for anything they’re going to want to frequently change.
Business Rules: Implement a business rules engine as part of your technology stack, so that as you decide to make changes — whether in pricing, policy, or logic — they are not primarily in code that has to be changed by a developer. Then your business rules can be changed in more or less the same way your content is changed: by a business user that has the appropriate entitlements.

Decision Making

If you’re in a large enterprise, I’m guessing that you’ve had the experience of trying to move digital efforts forward, only to be faced with a multi-month or multi-quarter capital budget approval process that requires endless spreadsheets, forecasts, meetings.

On one hand, these things exist for good reason. When companies are doing a large amount of capital investment, they want to make sure that those decisions involve all the right people, and are being thoroughly vetted. It makes sense to want to spend their money carefully, but in the digital world, this process just doesn’t work. The speed of decision-making from the old, quasi pre-digital world kills our efforts in the digital arena, because digital requires moving quickly. It’s crucial to create a faster process for getting those decisions made. In the digital realm, you’re better off being fast than being right. If you’re fast but wrong, you have agility. You’ll be able to sense how what you’re doing is wrong, and can react and make a shift. If you’re slow? Forget it.

Wayne Gretzky explains that he wins at hockey not by skating to where the puck is, rather, where the puck is going to be. Can you imagine seeing where the puck is going, but then having to fill out a 25-tabbed Excel spreadsheet, submit it to the capital-approval process, and wait several months? By then, the game is over, everyone’s gone home, and the puck’s been put back in the locker room. You need to be able to move more quickly than that.

To solve this problem, make sure that you have true alignment around the goals you’re trying to drive through digital. So often these capital-approval processes are about strategy and tactics: What are we going to do? What kind of tools are we going to use? What technologies are we going to buy? What capabilities are we going to provide to our customers? That’s exactly the kind of stuff we have to be agile about.

Agree with senior management on the things we’re trying to drive through digital: brand awareness, lower acquisition cost, increased wallet share, and increased conversion on the website. Once you agree on the key business goals, find people who you trust to run digital. Give them the money, and the room to fail on the way to success.
I worked with a large energy company once that made this shift because of these problems. They made the decision to give the Chief Information Officer and the Chief Marketing Officer a substantial capital budget to rapidly drive digital, with quarterly check-ins to report how they spent the money, and what the programs were achieving. This process was hugely successful for them, and resulted in large increases in digital revenue, that far eclipsed the investments that were being made.

Unfortunately, after two years of success, another even larger energy company came in and bought the first company, telling them, “That’s not how we do it.” They dismantled the process, and the gains and growth subsided.

You can learn from their story. Try your best to get the level of autonomy and authority needed for the folks on the ground, who are actually doing these digital transformation projects.

Strategy Shifts

Ninety percent of all start-ups fail. Those that succeed don’t often achieve success because their original idea, business model, or original concept was right. As I’ve mentioned previously, Facebook started off as a dating site, eBay started out as a Pez dispenser collectors’ site, and Flickr started out as an online role-playing game. These companies succeeded because they changed and shifted their strategy many times on their way to success.

In the enterprise world, we often judge projects on whether they achieved their original vision or goal, hit their original budget, or achieve the ROI based on their original funding. This mindset doesn’t work in the digital space. You run the risk of teams starting to see issues, problems, or reasons to shift their strategy, and not doing it, because they’re afraid of being judged by the project’s original standards. They’re afraid of being told that they have to start the funding process all over again, simply because the strategy has shifted and changed the scope of the project. This isn’t how successful digital companies are operating.

Create a process that embraces and expects that the project you’re funding is going to go through a process of trial-and-error to find its way to the kind of digital transformation success that you’re seeking. Keanu Reeves can’t know where all the bullets are going to be before he goes into the room — that’s not how he avoids getting hit by a bullet. He does it by sensing what’s going on around him, and moving to where he needs to be at that particular moment in time. Give your digital teams that level of flexibility and, reward them for making those kinds of shifts.

Teaming

FROM gets involved from working with a lot of companies, and we get the same questions a lot:

What’s the right organizational model for digital?
Should there be one central digital team?
Should digital be part of all the different P&Ls?
Should it be a blend, a combination?

These are important questions. Having said that, let me disavow you of the myth that there’s one magical structure whereby all the digital work can be kind of done by one single team of people operating under one executive. That’s impossible! Digital efforts cut across every part of the organization. When you want to move quickly to make a change or bring something new to market, you need IT, Marketing, R&D, Customer Support, Engineering, Manufacturing, and any other key silos in the organization to make it happen.

As a side note for all of you balking at the idea of silos: You’re going to have them. You can structure them in different ways, e.g. phases of the customer lifecycle, customer segment, geography, but you’re going to have them if you’re a large enterprise.

The key isn’t to try to figure out how to get rid of silos, since that’s all but impossible, but to figure out how to create a culture where teaming across those silos happens rapidly, and there’s alignment and mobilization of the people that are needed. We’ve done work like this across many organizations, including our own. Teaming agility is what’s necessary to achieve that kind of alignment, whether by workshops to align goals, or just a culture of innovation that creates the organizational functionality that we need for people to be able to swarm around an opportunity quickly, instead of focusing on the friction that can exist between different departments.

These five areas of agility that are essential. Most are something large enterprises struggle with, but hopefully you’ve gained a few tips and tricks on how to overcome some of those challenges.

This article originally appeared on the Howard Tiersky blog
Image Credit: Pixabay

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Creating Organizational Agility

Why is it that we need so much agility for digital transformation? The answer is simple: the speed of digital.

Sensing

Technology

Decision Making

Strategy Shifts

Teaming