28 Things I Learned the Hard Way

28 Things I Learned the Hard Way

GUEST POST from Mike Shipulski

  1. If you want to have an IoT (Internet of Things) program, you’ve got to connect your products.
  2. If you want to build trust, give without getting.
  3. If you need someone with experience in manufacturing automation, hire a pro.
  4. If the engineering team wants to spend a year playing with a new technology, before the bell rings for recess ask them what solution they’ll provide and then go ask customers how much they’ll pay and how many they’ll buy.
  5. If you don’t have the resources, you don’t have a project.
  6. If you know how it will turn out, let someone else do it.
  7. If you want to make a friend, help them.
  8. If your products are not connected, you may think you have an IoT program, but you have something else.
  9. If you don’t have trust, you have just what you earned.
  10. If you hire a pro in manufacturing automation, listen to them.
  11. If Marketing has an optimistic sales forecast for the yet-to-be-launched product, go ask customers how much they’ll pay and how many they’ll buy.
  12. If you don’t have a project manager, you don’t have a project.
  13. If you know how it will turn out, teach someone else how to do it.
  14. If a friend needs help, help them.
  15. If you want to connect your products at a rate faster than you sell them, connect the products you’ve already sold.
  16. If you haven’t started building trust, you started too late.
  17. If you want to pull in the delivery date for your new manufacturing automation, instead, tell your customers you’ve pushed out the launch date.
  18. If the VP knows it’s a great idea, go ask customers how much they’ll pay and how many they’ll buy.
  19. If you can’t commercialize, you don’t have a project.
  20. If you know how it will turn out, do something else.
  21. If a friend asks you twice for help, drop what you’re doing and help them immediately.
  22. If you can’t figure out how to make money with IoT, it’s because you’re focusing on how to make money at the expense of delivering value to customers.
  23. If you don’t have trust, you don’t have much.
  24. If you don’t like extreme lead times and exorbitant capital costs, manufacturing automation is not for you.
  25. If the management team doesn’t like the idea, go ask customers how much they’ll pay and how many they’ll buy.
  26. If you’re not willing to finish a project, you shouldn’t be willing to start.
  27. If you know how it will turn out, it’s not innovation.
  28. If you see a friend that needs help, help them ask you for help.

Image credit: Pixabay

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Airlines Are Soaring to New Heights in Passenger Satisfaction

Airlines Are Soaring to New Heights in Passenger Satisfaction

GUEST POST from Shep Hyken

There’s good news for those who fly the friendly skies. The experience is getting better.

If you think about it, airlines have a simple product experience. It’s a plane that moves people. Safety is the number one priority. Beyond that, get the passengers to the destination on time. Passengers have choices in airlines. Some are more cost-efficient, such as Frontier and Spirit; or for more money, others, like American and Delta, offer higher service levels, such as first-class cabins. The passenger gets to choose.

Beyond the amenities of the major airlines, one of the most important criteria for customer satisfaction is on-time performance. Not long ago, the public’s confidence in the airlines’ ability to get people to their destinations on time was so low that I joked, “You can treat passengers terribly, but just get them to their destinations safely and on time, and they will fly you again and again.”

Yes, it’s a joke until you are the one experiencing an airline’s electronic breakdown or you’re on the wrong side of a bad storm. Consider that on-time performance can be impacted by three main factors: weather, mechanical issues and operational execution.

Safety is first, and bad weather is a legitimate reason for delays and cancellations. Mechanical issues also fall into that category. Passengers should be happy when an airline finds out about a mechanical issue while the plane is on the ground rather than in the air. However, operational execution is not a good excuse for delays and cancellations. This is what passengers are paying for. For example, a plane that lands on time but ends up delayed because there wasn’t an open gate or a ground crew available to bring the plane in and open the doors is frustrating and stressful to passengers trying to make a connection.

Good News

Aviation analytics company Cirium’s annual On-Time Performance Review has tracked on-time performance for over 15 years. In 2023, the average on-time performance for North American airlines was 74.45%. That means one out of every four flights was either delayed or canceled.

Certain airlines have a better track record than others. In North America, Delta (84.72%), Alaska Airlines (82.25%), American (80.61%) and United (80.04%) are the top on-time performers. Delta and American Airlines also ranked in the top 10 of all global airlines.

More Good News

During the pandemic, airline travel dropped to incredible lows. The return of people flying for vacation and business travel indicated that the pandemic was in the rearview mirror. However, the industry struggled as it worked out how to safely bring back employees and put planes back in the air. But that, too, is in the rearview mirror.

According to the American Customer Satisfaction Index (ACSI), the airlines’ customer satisfaction levels are at an all-time high. Passengers are rating airlines high for experiences such as check-in, boarding, cabin cleanliness and general courteous customer service. Forrest Morgeson, associate professor of marketing at Michigan State University and research emeritus at the ACSI, says, “Airline customer satisfaction has climbed to new heights, reaching scores not seen even before the pandemic disrupted travel.”

A Brighter Horizon for Air Travel

While airlines offer a straightforward service—a safe and on-time flight—there is plenty that happens behind the scenes to make an airline run smoothly. What looks simple on the surface is actually very complicated. Safety, maintenance, scheduling, weather patterns, proper staffing and much more go into running a successful airline. Outside of weather and mechanical issues, operational execution is expected and is essential to maintaining the customer’s confidence in the airline.

Data from Cirium’s annual On-Time Performance Review and the recent results from the ACSI indicate that the airlines are on track. Ongoing improvements in airline customer service and operational efficiency show that the airlines are doing their best to provide a better experience, and exercising caution for weather and maintenance issues continues to make airlines one of the safest ways to travel.

Image Credits: misterinnovation.com, Delta Airlines

This article originally appeared on Forbes.com

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The Keys to Successfully Leading Change

The Keys to Successfully Leading Change

GUEST POST from Stefan Lindegaard

In the infographic below from Justin Mecham you’ll see a comprehensive overview that serves as a source of inspiration for leading change. Regarding this, I have a question for you:

Which three aspects of this overview do you find most compelling, and why?

My top three:

  1. Motivating and persuading others, as it is crucial for everyone to understand why change is personally beneficial.
  2. The emphasis on team dynamics, acknowledging that lasting and sustainable change is achieved more effectively through collective learning and scaling rather than on an individual basis.
  3. Communicating the vision, recognizing that without a clear and well-executed communication strategy, much can be lost in translation.

I am curious on your perspectives on this.

Please leave your thoughts as a comment below.

EDITOR’S NOTE: While executing the change plan is mentioned as number eight in the infographic, the building of a change plan is completely missing. While Change Leadership is one of the Five Keys to Successful Change in the Human-Centered Change methodology, it is in the use of the Change Planning Toolkit where the magic happens. Click the link to find out more.

Image Credits: Pixabay, Justin Mecham

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Why Small Innovations Matter Now More Than Ever

Searching for Silver Linings

Why Small Innovations Matter Now More Than Ever

GUEST POST from Robyn Bolton

Do you feel like you’re drowning in a sea of bad news? You’re not alone. We’re standing in the eye of a storm of war, political division, and endless layoffs. In times like these, why bother with innovation when we’re using all our energy to survive and make sense of things?

I’ve asked myself this question with increasing frequency over the past months.  After hours of searching, querying, and reading to understand why you, me, or any other individual should bother with innovation, I can tell you two things:

  1. There’s no logical, data-backed reason why any individual should bother innovating (there are many logical, data-backed reasons why companies should innovate)
  2. Innovation is the only life raft that’s ever carried us from merely surviving to thriving.

If that seems like a big, overwhelming, and exhausting expectation to place on innovators, you’re right.  But it doesn’t have to be because innovation is also small things that make you smile, spark your curiosity, and prompt you to ask, “How might we…?”

Here are three small innovations that broke through the dark clouds of the news cycle, made me smile, and started a domino effect of questions and wonder.

LEGO Braille Bricks: Building a More Inclusive World

Lego Braille

You know them, and you love them (unless you’ve stepped on one), and somehow, they got even better.  In 2023, LEGO released Braille Bricks to the public.

By modifying the studs (those bumps on the top of the brick) to correspond with the braille alphabet, numbers, and symbols and complementing the toy with a website offering a range of activities, educator resources, and community support, LEGO built a bridge between sighted and visually impaired worlds, one tiny brick at a time.

How might a small change build empathy and connect people?


The Open Book: Fulfilling a Dream by Working on Vacation

The Open Book

Have you ever dreamed of going on vacation so that you could work an hourly job without pay?  Would you believe there is a two-year waitlist of people willing to pay for such an experience?

Welcome to The Open Book, a second-hand bookstore in Wigtown, Scotland, that offers “bibliophiles, avid readers, kindred book lovers, and adventure seekers” the opportunity to live out their dreams of running the bookstore by day and living above it in a tiny apartment by night.  The bookstore is owned and operated by a local nonprofit, and all proceeds, about $10,000 per year, go to supporting the Wigtown Book Festival.

How might you turn your passion into an experience others would pay for?


The Human Library: Checking Out Books That Talk Back

Human Library

If used books aren’t your thing, consider going to The Human Library.  This innovative concept started in Copenhagen in 2000 and has spread to over 80 countries, offering a unique twist on traditional libraries.  Readers “borrow” individuals from all walks of life – from refugees to rockstars refugees, from people with disabilities to those with unusual occupations – to hear their stories, ask difficult questions, and engage in open dialogue.

How might you create opportunities for dialogue and challenge your preconceptions?


Small Things Make a Big Difference

In a world that often feels dark, these small innovations are helpful reminders that if you are curious, creative, and just a bit brave, you can spark joy, wonder, and change.

How will you innovate, no matter how small, to brighten your corner of the world?

Image credit: Pixabay

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We Must Unlearn These Three Management Myths

We Must Unlearn These Three Management Myths

GUEST POST from Greg Satell

Mark Twain is reported to have said, “It’s not what you don’t know that kills you, it’s what you know for sure that ain’t true.” Ignorance of facts is easily remedied. We can read books, watch documentaries or simply do a quick Google search. Yet our misapprehensions and biases endure, even in the face of contradicting facts.

The truth is that much of what we believe has less to do with how we weigh evidence than how we see ourselves. In fact, fMRI studies have suggested have shown that evidence which contradicts our firmly held beliefs violates our sense of identity. Instead of adapting our views, we double down and lash out at those who criticize them.

This can be problematic in our personal lives, but in business it can be fatal. There is a reason that even prominent CEOs can pursue failed strategies and sophisticated investors will back hucksters to the hilt. Yet as Adam Grant points out in Think Again, we can make the effort to reexamine and alter our beliefs. Here are three myths that we need to watch out for.

Myth #1: The “Global Village” Will Be A Nice Place

Marshal McLuhan, in Understanding Media, one of the most influential books of the 20th century, described media as “extensions of man” and predicted that electronic media would eventually lead to a global village. Communities would no longer be tied to a single, isolated physical space but connect and interact with others on a world stage.

To many, the rise of the Internet confirmed McLuhan’s prophecy and, with the fall of the Berlin Wall, digital entrepreneurs saw their work elevated to a sacred mission. In Facebook’s IPO filing, Mark Zuckerberg wrote, “Facebook was not originally created to be a company. It was built to accomplish a social mission — to make the world more open and connected.

Yet, importantly, McLuhan did not see the global village as a peaceful place. In fact, he predicted it would lead to a new form of tribalism and result in a “release of human power and aggressive violence” greater than ever in human history, as long separated—and emotionally charged—cultural norms would now constantly intermingle, clash and explode.

For many, if not most, people on earth, the world is often a dark and dangerous place. When your world is not secure, “open” is less of an opportunity to connect than it is a vulnerability to exploit. Things can look fundamentally different from the vantage point of, say, a tech company in Menlo Park, California then it does from, say, a dacha outside Moscow.

Context matters. Our most lethal failures are less often those of planning, logic or execution than they are that of imagination. Chances are, most of the world does not see things the way we do. We need to avoid strategic solipsism and constantly question our own assumptions.

Myth #2: Winning The “War For Talent” Will Make You More Competitive

In 1997, three McKinsey consultants published a popular book titled The War for Talent, which argued that due to demographic shifts, recruiting the “best and the brightest” was even more important than “capital, strategy, or R&D.” The idea made a lot of sense. What could be more important for a company than its people?

Yet as Malcolm Gladwell explained in an article about Enron, strict adherence to the talent rule contributed to the firm’s downfall. Executives that were perceived to be talented moved up fast. So fast, in fact, that it became impossible to evaluate their performance. People began to worry more about impressing their boss and appearing to be clever than doing their jobs.

The culture became increasingly toxic and management continued to bet on the same failed platitude until the only way to move up in the organization was to undermine others. As we now know, it didn’t end well. Enron went bankrupt in 2001, just four years after The War for Talent highlighted it as a model for others to follow.

The simple truth is that talent isn’t what you win in a battle. It’s what you build by actualizing the potential of those in your organization and throughout your ecosystem, including partners, customers and the communities in which you operate. In the final analysis, Enron didn’t fail because it lost the war for talent, it failed because it was at war with itself.

Myth #3: We Can “Engineer” Management

In 1911, Frederick Winslow Taylor published The Principles of Scientific Management, based on his experience as a manager in a steel factory. It took aim at traditional management methods and suggested a more disciplined approach. Rather than have workers pursue tasks in their own manner, he sought to find “the one best way” and train accordingly.

Before long, Taylor’s ideas became gospel, spawning offshoots such as scientific marketing, financial engineering and the six sigma movement. It was no longer enough to simply work hard, you had to measure, analyze and optimize everything. Over the years these ideas became so central to business thinking that they were rarely questioned.

Yet they should have been. The truth is that this engineering mindset is a zombie idea, a remnant of the logical positivism that was discredited way back in the 1930s and more recent versions haven’t fared any better. To take just one example, a study found that of 58 large companies that announced Six Sigma programs, 91 percent trailed the S&P 500 in stock performance. Yet that didn’t stop the endless parade of false promises.

At the root of the problem is a simple fact: We don’t manage machines, we manage ecosystems and we need to think more about networks and less about nodes. Our success or failure depend less on individual entities, than the connections between them. We need to think less like engineers and more like gardeners.

Don’t Believe Everything You Think

At any given time, there are any number of clever people saying clever things. When you invoke a legendary icon like Marshall McLuhan and say “Global Village,” the concept acquires the glow of some historical, unalterable destiny. But that’s an illusion, just like the “War for Talent” and the idea of “engineering” your way out of managing a business and making wise choices.

Yet notice the trap. None of these things were put forward as mere opinions or perspectives. The McKinsey consultants who declared the “War for Talent” weren’t just expressing an opinion, but revealing the results of a “yearlong study…involving 77 companies and almost 6,000 managers and executives.” (And presumably, they sold the study right back to every one of those 77 companies).

The truth is that an idea can never be validated backward, only forward. No amount of analysis can shape reality. We need to continually test our ideas, reconsider them and adapt them to ever-changing conditions. The problem with concepts like six sigma isn’t necessarily in their design, but that they become elevated something approaching the sublime.

That’s why we shouldn’t believe everything we think. There are simply too many ways to get things wrong, while getting them right is always a relatively narrow path. Or, as Richard Feynman put it, “The first principle is that you must not fool yourself—and you are the easiest person to fool.”

— Article courtesy of the Digital Tonto blog
— Image credits: Pexels

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Everyone Clear Now on What ChatGPT is Doing?

Everyone Clear Now on What ChatGPT is Doing?

GUEST POST from Geoffrey A. Moore

Almost a year and a half ago I read Stephen Wolfram’s very approachable introduction to ChatGPT, What is ChatGPT Doing . . . And Why Does It Work?, and I encourage you to do the same. It has sparked a number of thoughts that I want to share in this post.

First, if I have understood Wolfram correctly, what ChatGPT does can be summarized as follows:

  1. Ingest an enormous corpus of text from every available digitized source.
  2. While so doing, assign to each unique word a unique identifier, a number that will serve as a token to represent that word.
  3. Within the confines of each text, record the location of every token relative to every other token.
  4. Using just these two elements—token and location—determine for every word in the entire corpus the probability of it being adjacent to, or in the vicinity of, every other word.
  5. Feed these probabilities into a neural network to cluster words and build a map of relationships.
  6. Leveraging this map, given any string of words as a prompt, use the neural network to predict the next word (just like AutoCorrect).
  7. Based on feedback from so doing, adjust the internal parameters of the neural network to improve its performance.
  8. As performance improves, extend the reach of prediction from the next word to the next phrase, then to the next clause, the next sentence, the next paragraph, and so on, improving performance at each stage by using feedback to further adjust its internal parameters.
  9. Based on all of the above, generate text responses to user questions and prompts that reviewers agree are appropriate and useful.

OK, I concede this is a radical oversimplification, but for the purposes of this post, I do not think I am misrepresenting what is going on, specifically when it comes to making what I think is the most important point to register when it comes to understanding ChatGPT. That point is a simple one. ChatGPT has no idea what it is talking about.

Indeed, ChatGPT has no ideas of any kind — no knowledge or expertise — because it has no semantic information. It is all math. Math has been used to strip words of their meaning, and that meaning is not restored until a reader or user engages with the output to do so, using their own brain, not ChatGPT’s. ChatGPT is operating entirely on form and not a whit on content. By processing the entirety of its corpus, it can generate the most probable sequence of words that correlates with the input prompt it had been fed. Additionally, it can modify that sequence based on subsequent interactions with an end user. As human beings participating in that interaction, we process these interactions as a natural language conversation with an intelligent agent, but that is not what is happening at all. ChatGPT is using our prompts to initiate a mathematical exercise using tokens and locations as its sole variables.

OK, so what? I mean, if it works, isn’t that all that matters? Not really. Here are some key concerns.

First, and most importantly, ChatGPT cannot be expected to be self-governing when it comes to content. It has no knowledge of content. So, whatever guardrails one has in mind would have to be put in place either before the data gets into ChatGPT or afterward to intercept its answers prior to passing them along to users. The latter approach, however, would defeat the whole purpose of using it in the first place by undermining one of ChatGPT’s most attractive attributes—namely, its extraordinary scalability. So, if guardrails are required, they need to be put in place at the input end of the funnel, not the output end. That is, by restricting the datasets to trustworthy sources, one can ensure that the output will be trustworthy, or at least not malicious. Fortunately, this is a practical solution for a reasonably large set of use cases. To be fair, reducing the size of the input dataset diminishes the number of examples ChatGPT can draw upon, so its output is likely to be a little less polished from a rhetorical point of view. Still, for many use cases, this is a small price to pay.

Second, we need to stop thinking of ChatGPT as artificial intelligence. It creates the illusion of intelligence, but it has no semantic component. It is all form and no content. It is a like a spider that can spin an amazing web, but it has no knowledge of what it is doing. As a consequence, while its artifacts have authority, based on their roots in authoritative texts in the data corpus validated by an extraordinary amount of cross-checking computing, the engine itself has none. ChatGPT is a vehicle for transmitting the wisdom of crowds, but it has no wisdom itself.

Third, we need to fully appreciate why interacting with ChatGPT is so seductive. To do so, understand that because it constructs its replies based solely on formal properties, it is selecting for rhetoric, not logic. It is delivering the optimal rhetorical answer to your prompt, not the most expert one. It is the one that is the most popular, not the one that is the most profound. In short, it has a great bedside manner, and that is why we feel so comfortable engaging with it.

Now, given all of the above, it is clear that for any form of user support services, ChatGPT is nothing less than a godsend, especially where people need help learning how to do something. It is the most patient of teachers, and it is incredibly well-informed. As such, it can revolutionize technical support, patient care, claims processing, social services, language learning, and a host of other disciplines where users are engaging with a technical corpus of information or a system of regulated procedures. In all such domains, enterprises should pursue its deployment as fast as possible.

Conversely, wherever ambiguity is paramount, wherever judgment is required, or wherever moral values are at stake, one must not expect ChatGPT to be the final arbiter. That is simply not what it is designed to do. It can be an input, but it cannot be trusted to be the final output.

That’s what I think. What do you think?

Image Credit: Pexels

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What Are the Toughest Words to Say?

What Are the Toughest Words to Say?

GUEST POST from Mike Shipulski

As the world becomes more connected, it becomes smaller. And as it becomes smaller, competition becomes more severe. And as competition increases, work becomes more stressful. We live in a world where workloads increase, timelines get pulled in, metrics multiply and “accountability” is always the word of the day. And in these trying times, the most important word to say is also the toughest.

When your plate is full and someone tries to pile on more work, what’s the toughest word to say?

When the project is late and you’re told to pull in the schedule and you don’t get any more resources, what’s the toughest word to say?

When the technology you’re trying to develop is new-to-world and you’re told you must have it ready in three months, what’s the toughest word to say?

When another team can’t fill an open position and they ask you to fill in temporarily while you do your regular job, what’s the toughest word to say?

When you’re asked to do something that will increase sales numbers this quarter at the expense of someone else’s sales next quarter, what’s the toughest word to say?

When you’re told to use a best practice that isn’t best for the situation at hand, what’s the toughest word to say?

When you’re told to do something and how to do it, what’s the toughest word to say?

When your boss asks you something that you know is clearly their responsibility, what’s the toughest word to say?

Sometimes the toughest word is the right word.

Image credit: Pixabay

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The Magic of Starting with Yes

The Magic of Starting with Yes

GUEST POST from Shep Hyken

It’s time to revisit the idea of avoiding the word “no,” but this time, I want to approach it from a different angle. First, let me tell you about my friend Dr. Nido Qubein, a devoted husband and father, motivational speaker, entrepreneur, president of High Point University, and mentor to many, who came to this country when he was 17 with little more than $50 to his name. Almost 50 years ago, he attended High Point University, never dreaming that one day he would be president of the institution, a position he accepted in 2005.

Since that time, there has been incredible growth at HPU. In his first year, the university had about 1,400 students enrolled on the 91-acre campus. Today, there are almost 6,000 students, including 623 graduate students. The campus has grown to more than 500 acres, includes 128 buildings, and is considered an elite university.

If you Google “Nido Qubein,” you will see a list of accomplishments that give insight into this man’s extraordinary career. As mentioned, he is a mentor to many, and even as a friend, I am among those who consider him a mentor. I’ve learned much from his willingness to share the lessons he learned from his successes, and today, I want to share a simple lesson we might all want to consider, which has to do with the word no.

If you’ve been following my work, you know I’ve written several articles about avoiding the word no. Christine Trippi and Cameron Mitchell have been featured in The Shepard Letter and in my videos discussing the topic. This time, I give you Nido’s perspective, and even though he’s not talking about customer service or CX, it ties in perfectly.

Nido recognizes that when someone new steps into a leadership role in any type of organization, authenticity and listening skills are of the utmost importance. People can be skeptical. He says, “I always start with a yes. It doesn’t always end that way after we’ve done the study, but a lot of people start with no.”

I love this idea. When our customers ask us for something or they have an issue, starting on a positive note, such as finding a way to use the word yes from the start can help guide the conversation in the right direction. This is what it looks like:

  • “Yes, I understand.”
  • “Yes, that’s a great idea worth considering.”
  • “Yes, you do have a problem, so let’s see what we can do about it.”
  • “Yes, that is a possibility. Let’s look at the situation more closely.”

Nido’s simple leadership lesson is also a powerful customer service lesson. When a customer comes to you with a problem or issue, you are in a leadership position. You are empowered with authority to help the customer. Saying yes is not about giving in. It’s about using the right word at the right time to create a better customer experience.

Image Credits: Pexels

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Creating More Digital Value for Customers

Creating more value for customers is how highly successful digital companies like Uber, Amazon, Netflix, and Apple got to where they are today.

Creating More Digital Value for Customers

GUEST POST from Howard Tiersky

So how do you improve your customer value? Think of customer value as an equation — how much do you give me in exchange for how much I give you? There’s the “cost” side of the equation for the customer, and there’s the “benefits” side. Great customer value engineering innovates on both sides of that equation.

Cost

An important part of the “cost” is the money the consumer spends, but it is also measured in time, convenience and level of effort. If the customer has to work harder to extract the value from your offering, this is a perceived increase in cost.

Let’s take the example of Netflix. They have always been aggressive about providing access to large volumes of content for an accessible monthly charge. Their current lowest price is $6.99 per month, less than the cost of a single movie ticket. Netflix also works hard to use personalization to lower the effort it takes to find and play content on any device.

Here are four key ways to reduce the “cost” side of your value proposition. Consider which of these might apply to your offering.

1. Charge less. This is the most obvious step. The danger is that competing on price alone can be a dangerous game and take both you and your competitors into a place where it can be difficult to make money or run a sustainable business. However, we see many of the most successful companies in the digital space not necessarily “discounting” their offer but finding ways to re-engineer their entire cost model via innovative approaches that leverage this new digital world in order to offer more for less. For example, Amazon is able to undercut the prices of many brick and mortar retailers because they don’t have the cost of retail stores and because of the large scale of their operation. Google is able to offer email for free because they have devised a way to make money via advertising rather than charging for the service.

2. Change your payment model. Blockbuster rented videos on a “per video” basis. Netflix’s first innovation was not streaming or House of Cards but rather the subscription model for video “rental.” Similarly, Amazon created a major innovation with Amazon Prime when they offered subscription 2-day shipping services. But subscription is not the only way to change the game. Disaggregation is another. Apple changed the music industry by focusing on selling individual tracks of music rather than entire albums. They then applied this same approach to episodic TV episodes which were previously only available to be purchased in “full season” DVD sets.

3. Reduce the customer’s effort. Uber takes the effort out of getting around. They extremely simplified the process of ordering a car service, paying, talking to the driver about where you are headed and managing your expense records. These may be small things, but they add up. Just like we are willing to pay more for milk at 7-11 to avoid the grocery store if your offering is less effort for the user it reduces the overall “cost.”

4. Reduce unexpected costs. Look for opportunities to save a user money that they would be paying to someone else. If a user can drive less or avoid shipping costs, you have saved them money, and they may not mind giving you a little more. An old-school example, AAA sells roadside assistance but included with this subscription are discounts to most hotels and some other travel-related services. These discounts cost AAA nothing and add value to the membership.

Benefits

Now that we’ve removed some of the “cost,” how can we augment the benefits? Here are five techniques to increase the benefits side of the equation.

1. Offer more stuff. HBO recently partnered with Sesame Workshop to add over 20 seasons of Sesame Street to their on-demand offering. Dropbox continues to increase the storage they will give you for your $9.99 monthly subscription. Consider cost-effective ways to simply give the user more of what they are coming to you for.

2. Add features. Google office massively increased the value of their “PowerPoint” competitor by enabling cloud-based real-time collaboration. Consider how to expand the features your product offers to add value.

3. Increase shareability. The more people that can utilize a single purchase, the more value it has. Apple created their family plan so that apps purchased from their App store can be used by anyone in the family. Amazon created a way to “lend” a Kindle book to a friend.

4. Increase durability or longevity. Extending the realistic lifespan of your product extends the value. For example demonstrating the “future-proofing” you have included in your solution so that it will be forward-compatible with the “next generation” of technology adds value to your offer.

5. Add flexibility. If customers can use your product in different ways, apply it to more “needs” in their life, this increases the value. You may have subscribed to Dropbox to share files with clients, but Dropbox has added and promotes features also to make it a great place to sync and store your personal photos and act as a “backup” in case of hard drive failure. Apple constantly markets the diverse ways their products can be used. iPhones are also cameras, calculators, GPS devices, musical instruments, word processors, currency converters and presentation tools. Every additional way your iPhone can be used potentially replaces another product you would have to buy and adds value.

Which of these opportunities to enhance the value equation for your customer best fit your business? For those that don’t seem to “fit,” try a thought experiment for each and consider if it did fit, how would you apply it? You might discover a breakthrough that would transform your whole value proposition.

This article originally appeared on the Howard Tiersky blog

Image Credits: Howard Tiersky, FROM

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Don’t Listen to the ‘We Can’t Do That’ Lie

These Are the Truths

Don't Listen to the 'We Can't Do That' Lie

GUEST POST from Robyn Bolton

How many times have you proposed a new idea and been told, “We can’t do that?” Probably quite a few.  My favorite memory of being told, “We can’t do that,” happened many years ago while working with a client in the publishing industry:

Client: We can’t do that.

Me: Why?

Client: Because we already tried it, and it didn’t work.

Me: When did you try it?

Client: 1972

Me: Well, things certainly haven’t changed since 1972, so you’re right, we definitely shouldn’t try again.

I can only assume they appreciated my sarcasm as much as the idea because we eventually did try the idea, and, 30+ years later, it did work. But the client never would have enjoyed that success if my team and I had not seen through “we can’t do that” and helped them admit (confess) what they really meant.

Quick acknowledgment

Yes, sometimes “We can’t do that” is true.  Laws and regulations define what can and can’t be done.  But they are rarely as binary as people make them out to be.  In those gray areas, the lie of “we can’t do that” obscures the truth of won’t, not able to, and don’t care.

“I won’t do it.”

When you hear “can’t,” it usually means “won’t.”  Sometimes, the “won’t” is for a good reason – “I won’t do the dishes tonight because I have an urgent deadline, and if I don’t deliver, my job is at risk.”  Sometimes, the “won’t” isn’t for a good reason – “I won’t do the dishes because I don’t want to.”  When that’s the case, “won’t” becomes “can’t” in the hope that the person making the request backs off and finds another solution. 

For my client, “We can’t do that” actually meant, “I won’t do that because it failed before and, even though that was thirty years ago, I’m afraid it will fail again, and I will be embarrassed, and it may impact my reputation and job security.”

You can’t work with “can’t.”  You can work with “won’t.”  When someone “won’t” do something, it’s because there’s a barrier, real or perceived.  By understanding the barrier, you can work together to understand, remove, or find a way around it.

“I’m not able to do it.”

“Can’t” may also come with unspoken caveats.  We can’t do that because we’ve never done it before and are scared.  We can’t do that because it is outside the scope of our work.  We can’t do that because we don’t know how. 

Like “won’t,” you can work with “not able to” to understand the gap between where you are now and where you want to go.  If it’s because you’re scared of doing something new, you can have conversations to get smarter about the topic or run small experiments to get real-world learnings.  If you’re not able to do something because it’s not within your scope of work, you can expand your scope or work with people who have it in their scope.  If you don’t know how, you can talk to people, take classes, and watch videos to learn how.

“I don’t care.”

As brave as it is devastating, “we can’t do that” can mean “I don’t care enough to do that.” 

Executives rarely admit to not caring, but you see it in their actions. When they say that innovation and growth are important but don’t fund them or pull resources at the first sign of a wobble in the business, they don’t care. If they did care, they would try to find a way to keep investing and supporting the things they say are priorities.

Exploring options, trying, making an effort—that’s the difference between “I won’t do it” and “I don’t care.”    “I won’t do that” is overcome through logic and action because the executive is intellectually and practically open to options. “I don’t care” requires someone to change their priorities, beliefs, and self-perception, changes that require major personal, societal, or economic events.

Now it’s your turn to tell the truth

Are you willing to ask the questions to find them?

Image credit: Unsplash

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