Category Archives: Digital Transformation

Creating Organizational Agility

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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Top 10 Human-Centered Change & Innovation Articles of December 2023

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Top 10 Human-Centered Change & Innovation Articles of December 2023 Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are December’s ten most popular innovation posts:

Five Key Digital Transformation Barriers — by Howard Tiersky
Achieving a Transformation Vision for a Better Future — by Howard Tiersky
Eight Innovation Executive Types — by Stefan Lindegaard
Skills versus Judgement — by Mike Shipulski
We Need to Stop Glorifying Failure — by Greg Satell
What Will People See? — by Mike Shipulski
Don’t Waste Your Time Talking to Customers — by Robyn Bolton
The Amazing Efficiency of Systematic Guessing — by Dennis Stauffer
Four Change Empowerment Myths — by Greg Satell
Do the Right Thing — by Mike Shipulski

BONUS – Here are five more strong articles published in November that continue to resonate with people:

Four Growth Mindset Myths — by Stefan Lindegaard
Reinventing the Retail Store — by Howard Tiersky
Mental Orgasm – The Joy of Discovery — by Dennis Stauffer
CEO Secrets of a Successful Turnaround — by Shep Hyken
Competing Successfully in an Ecosystem World — by Greg Satell

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last four years:

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Voting Closed – Top 40 Innovation Bloggers of 2023

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Happy Holidays!

For more than a decade I’ve devoted myself to making innovation insights accessible for the greater good, because I truly believe that the better our organizations get at delivering value to their stakeholders the less waste of natural resources and human resources there will be.

As a result, we are eternally grateful to all of you out there who take the time to create and share great innovation articles, presentations, white papers, and videos with Braden Kelley and the Human-Centered Change and Innovation team. As a small thank you to those of you who follow along, we like to make a list of the Top 40 Innovation Bloggers available each year!

Our lists from the ten previous years have been tremendously popular, including:

Top 40 Innovation Bloggers of 2015
Top 40 Innovation Bloggers of 2016
Top 40 Innovation Bloggers of 2017
Top 40 Innovation Bloggers of 2018
Top 40 Innovation Bloggers of 2019
Top 40 Innovation Bloggers of 2020
Top 40 Innovation Bloggers of 2021
Top 40 Innovation Bloggers of 2022

Do you just have someone that you like to read that writes about innovation, or some of the important adjacencies – trends, consumer psychology, change, leadership, strategy, behavioral economics, collaboration, or design thinking?

Human-Centered Change and Innovation is now looking to recognize the Top 40 Innovation Bloggers of 2023.

It is time to vote and help us narrow things down.

The deadline for submitting votes is December 31, 2023 at midnight GMT.

The ranking will be done by me with influence from votes and nominations. The quality and quantity of contributions to this web site by an author will be a BIG contributing factor (through the end of the voting period).

You can vote in any of these three ways (and each earns points for them, so please feel free to vote all three ways):

Sending us the name of the blogger by @reply on twitter to @innovate
Adding the name of the blogger as a comment to this article’s posting on Facebook
Adding the name of the blogger as a comment to this article’s posting on our Linkedin Page (Be sure and follow us)

The official Top 40 Innovation Bloggers of 2023 will then be announced here in early January 2024.

Here are the people who received nominations this year along with some carryover recommendations (in alphabetical order):

Adi Gaskell – @adigaskell
Alain Thys
Alex Goryachev
Andy Heikkila – @AndyO_TheHammer
Annette Franz
Arlen Meyers – @sopeofficial
Art Inteligencia
Ayelet Baron
Braden Kelley – @innovate
Brian Miller
Bruce Fairley
Chad McAllister – @ChadMcAllister
Chateau G Pato
Chris Beswick
Chris Rollins
Dr. Detlef Reis
Dainora Jociute
Dan Blacharski – @Dan_Blacharski
Daniel Burrus – @DanielBurrus
Daniel Lock
David Burkus
Dean and Linda Anderson
Dennis Stauffer
Diana Porumboiu
Douglas Ferguson
Drew Boyd – @DrewBoyd
Frank Mattes – @FrankMattes
Geoffrey A Moore
Gregg Fraley – @greggfraley
Greg Satell – @Digitaltonto
Helen Yu
Howard Tiersky
Janet Sernack – @JanetSernack
Jeffrey Baumgartner – @creativejeffrey
Jeff Freedman – @SmallArmyAgency
Jeffrey Phillips – @ovoinnovation
Jesse Nieminen – @nieminenjesse
John Bessant
Jorge Barba – @JorgeBarba
Julian Birkinshaw – @JBirkinshaw
Julie Anixter – @julieanixter
Kate Hammer – @Kate_Hammer
Kevin McFarthing – @InnovationFixer
Leo Chan
Lou Killeffer – @LKilleffer
Manuel Berdoy

Mari Anixter- @MariAnixter
Maria Paula Oliveira – @mpaulaoliveira
Matthew E May – @MatthewEMay
Michael Graber – @SouthernGrowth
Mike Brown – @Brainzooming
Mike Shipulski – @MikeShipulski
Mukesh Gupta
Nick Jain
Nick Partridge – @KnewNewNeu
Nicolas Bry – @NicoBry
Nicholas Longrich
Norbert Majerus and George Taninecz
Pamela Soin
Patricia Salamone
Paul Hobcraft – @Paul4innovating
Paul Sloane – @paulsloane
Pete Foley – @foley_pete
Rachel Audige
Ralph Christian Ohr – @ralph_ohr
Randy Pennington
Richard Haasnoot – @Innovate2Grow
Robert B Tucker – @RobertBTucker
Robyn Bolton – @rm_bolton
Saul Kaplan – @skap5
Shep Hyken – @hyken
Shilpi Kumar
Scott Anthony – @ScottDAnthony
Scott Bowden – @scottbowden51
Shelly Greenway – @ChiefDistiller
Soren Kaplan – @SorenKaplan
Stefan Lindegaard – @Lindegaard
Stephen Shapiro – @stephenshapiro
Steve Blank
Steven Forth – @StevenForth
Tamara Kleinberg – @LaunchStreet
Teresa Spangler – @composerspang
Tom Koulopoulos – @TKspeaks
Tullio Siragusa
Yoram Solomon – @yoram

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We’re curious to see who you think is worth reading!

Is AI Saving Corporate Innovation or Killing It?

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Is AI Saving Corporate Innovation or Killing It?

GUEST POST from Robyn Bolton

AI is killing Corporate Innovation.

Last Friday, the brilliant minds of Scott Kirsner, Rita McGrath, and Alex Osterwalder (plus a few guest stars like me, no big deal) gathered to debate the truth of this statement.

Honestly, it was one of the smartest and most thoughtful debates on AI that I’ve heard (biased but right, as my husband would say), and you should definitely listen to the whole thing.

But if you don’t have time for the deep dive over your morning coffee, then here are the highlights (in my humble opinion)

Why this debate is important

Every quarter, InnoLead fields a survey to understand the issues and challenges facing corporate innovators. The results from their Q2 survey and anecdotal follow-on conversations were eye-opening:

Resources are shifting from Innovation to AI: 61.5% of companies are increasing the resources allocated to AI, while 63.9% of companies are maintaining or decreasing their innovation investments
IT is more likely to own AI than innovation: 61.5% of companies put IT in charge of exploring potential AI use cases, compared to 53.9% of Innovation departments (percentages sum to greater than 0 because multiple departments may have responsibility)
Innovation departments are becoming AI departments. In fact, some former VPs and Directors of Innovation have been retitled to VPs or Directors of AI

So when Scott asked if AI was killing Corporate Innovation, the data said YES.

The people said NO.

What’s killing corporate innovation isn’t technology. It’s leadership.

Alex Osterwalder didn’t pull his punches and delivered a truth bomb right at the start. Like all the innovation tools and technologies that came before, the impact of AI on innovation isn’t about the technology itself—it’s about the leaders driving it.

If executives take the time to understand AI as a tool that enables successful outcomes and accelerates the accomplishment of key strategies, then there is no reason for it to threaten, let alone supplant, innovation.

But if they treat it like a shiny new toy or a silver bullet to solve all their growth needs, then it’s just “innovation theater” all over again.

AI is an Inflection Point that leaders need to approach strategically

As Rita wrote in her book Seeing Around Corners, an inflection point has a 10x impact on business, for example, 10x cheaper, 10x faster, or 10x easier. The emergence and large-scale adoption of AI is, without doubt, an inflection point for business.

Just like the internet and Netscape shook things up and changed the game, AI has the power to do the same—maybe even more. But, to Osterwalder’s point, leaders need to recognize AI as a strategic inflection point and proceed accordingly.

Leaders don’t need to have it all figured out yet, but they need a plan, and that’s where we come in.

This inflection point is our time to shine

From what I’ve seen, AI isn’t killing corporate innovation. It’s creating the biggest corporate innovation opportunity in decades. But it’s up to us, as corporate innovators, to seize the moment.

Unlike our colleagues in the core business, we are comfortable navigating ambiguity and uncertainty. We have experience creating order from what seems like chaos and using innovation to grow today’s business and create tomorrow’s.

We can do this because we’ve done it before. It’s exactly what we do,

AI is not a problem. It’s an opportunity. But only if we make it one.

AI is not the end of corporate innovation —it’s a tool, a powerful one at that.

As corporate innovators, we have the skills and knowledge required to steer businesses through uncertainty and drive meaningful change. So, let’s embrace AI strategically and unlock its full potential.

The path forward may not always be crystal clear, but that’s what makes it exciting. So, let’s seize the moment, navigate the chaos, and embrace AI as the innovation accelerant that it is.

Image Credit: Pixabay

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Achieving a Transformation Vision for a Better Future

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Achieving a Transformation Vision for a Better Future

GUEST POST from Howard Tiersky

A major challenge that most large enterprises face is the lack of a true transformation vision.

Most organizations have a basic vision for growth: to serve the maximum number of people, to sell the maximum amount of product, to grow different segments, or to expand in new areas. But in most large enterprises I’ve worked with, that vision is usually about doing more of the same. They optimize what they already have, expand what they already do, update the way that they’re currently selling to very similar customer groups, and interact with their customers in a way very similar to their current operations.

For most organizations to be successful as the world changes around them, they need to change and adapt more profoundly than that. During times of change, driving growth within an organization using tactics similar to current ones don’t often work well. The most common technique I see leaders of large enterprises using to drive growth is to go to each individual area and tell them to continue driving growth in their area. For example, product groups get, “Make new products.”; channel groups get, “Find new channels.”; and the sales group gets, “Sell more stuff!” If you multiply all the effect of these different areas of growth together, you get something that looks like pretty good growth for the organization overall.

Imagine a caterpillar trying to figure out become a butterfly, and having every part of its body come up with its own strategies and methods to contribute. A segmented approach can work when you’re just trying to multiply the scale of what you’re already achieving, with little to no optimization in the different areas.

But there’s a problem with this method. Imagine a caterpillar trying to figure out become a butterfly, and having every part of its body come up with its own strategies and methods to contribute. A segmented approach can work when you’re just trying to multiply the scale of what you’re already achieving, with little to no optimization in the different areas. But it doesn’t work when you’re trying to transform an entire organization, and entire transformation is what we need to do to keep up with the quickly changing digital world. A vision for the whole transformation is what’s going to truly coordinate your entire organization.

You are probably familiar with Lana Turner, movie star from the ’40s and the famous story of her discovery that made her Hollywood starlet. The story goes: Around 1934, 16-year-old Judy Turner (her real name), is skipping school and having a Coke at the Schwab’s Pharmacy counter in Hollywood. She’s spotted by a famous movie director who says, “You’re beautiful and have a wholesome look. You’d be great in a movie. I’m going to take you in for a screen test.” He brings her to the back lot, does the screen test, and it’s fantastic. He puts her in a movie, and she becomes one of the top stars in Hollywood. The rest is history!

There are two problems with this story. First, it’s not actually true. The whole story is fiction, dreamed up by 1930’s Hollywood PR teams. But even if it happened to be true, it would be an extreme outlier. Transformation doesn’t just happen by accident or good luck. It doesn’t even happen because it’s deserved, or because of inherent merit. The other day, I was listening to Howard Stern interviewing Jennifer Hudson about her success. He asked her if, when she was a child and sang in church, everyone knew that she was going to be a star. She said, “No, because there were a lot of kids in my church who could sing like that, and there were a lot of people in my family who could sing like that.” The difference was that, besides the talent, she also had the drive, determination, and the vision to succeed.

This idea of needing vision to succeed isn’t new. The great poet and three times Pulitzer Prize Winner, Carl Sandburg, said, “Nothing happens unless first a dream.” American inventor George Washington Carver, said, “Where there is no vision, there is no hope.” And Helen Keller said, “The only thing worse than being blind is having sight but no vision.”

What is this transformation vision that you need to create? What are its components?

There are two parts to a transformation vision. The first is a vision of how the world is changing. How are your customers going to be changing over the next few years? How is technology going to change, and what do you think your competitors, old or new, might do with the changing landscape?

The second component is to determine what new products and services you can bring to market. How can you take advantage of these changes in environment and your customers, and how will you compete with what your competitors are doing? How does your business model need to change, based on new technology capabilities, or new customer behaviors? How will your operations, cost structure, and ultimately, interaction with our customers, change? Will we be delivering on different channels, serving and supporting them in different ways, or will we be dealing with an entirely new set of customers?

It might seem like you need to be able to see into the future to answer these questions, and I think that’s a major reason why many enterprises don’t have a true transformational vision. They may have a five-year plan, but it isn’t really a vision for transformation — more of just a hopeful projection of growth based on where they are now. They believe they can’t see far enough into the future for it to be practical to have a vision of the future. But here’s the thing: you can foretell the future. I’ll do it right now: It’s about 4:30pm here in New York. I think that in the next couple hours, many people in my area will be having dinner. I’m heading to the airport shortly, for a flight to London, and I predict that there will be lines at the TSA checkpoints that I’ll have to take into account to get on my flight on time. The truth is, we can see into the future to some degree, based on previous experience. We might not always be right, but there’s a lot of information we can use to get a reasonable hypothesis of what the future is going to look like.

Was the iPhone that much of a shock, after the Blackberry Treo and other smartphones that came before? True, it had aspects that we might not have anticipated, and the precise timing might not have been predictable by someone who wasn’t in on Apple’s plans, but its existence on the market was relatively predictable.

To get into the business of predicting the future, we have to get over the fear of being wrong. As Seth Golden said, “The cost of being wrong is less than the cost of doing nothing.” I believe this is absolutely true.

Here’s one last thought about creating transformation visions: It’s important to be able to think in terms of transformation time. Sometimes our focus is so much in the next quarter or the things that we have to get done right now. And that is the reality of the world of the large enterprise, especially if it’s a public company. But in order to be successful long-term, you have to be able to think in terms of transformation time, to think a few years ahead. Why? Because the transformations that you need are often going to take a few years. Products and solutions that burst onto the market, like the iPhone, are in development for years before they ever see the light of day. So many of the things that we see as overnight successes are really the result of long-term visioning, planning, R&D efforts and product development, and there are products that don’t succeed that went through those processes, too. Risk tolerance is important for transformation vision since you have to be ready for a number of potential futures. Those that are successful will be those that define the future of the company.

To recap, take the time to predict the future and be willing to be wrong. Track the changes in the world, and engage yourself in ongoing research, both to initially develop your long-term transformation vision and then to continue to see whether your predictions appear to be coming true. Is the timeframe you initially anticipated changing? If so, adjust your transformation vision to align with what is actually happening. Most importantly, be willing to get it wrong. Second, look at the fundamental value proposition your company brings to your customers. How would that value proposition be best delivered in this future that you envision? If you built a new company today that was going to launch three years from now, how would we build that for where we think the world will be in a few years? You can use that exercise as a way of defining what your transformation vision should potentially be. Take bets, consider and prepare for different possible futures, so you can be prepared for the actual future when it arrives.

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

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Five Key Digital Transformation Barriers

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You may be struggling to drive some sort of change, innovation, or digital transformation within your organization right now.

Five Key Digital Transformation Barriers

GUEST POST from Howard Tiersky

Why is it so hard? And what’s the secret to getting big companies to transform successfully?

There are five main barriers that large enterprises face when trying to innovate: change resistance, knowledge of customers, risk management, organizational agility and transformation vision.

1. Change resistance

Change is uncomfortable. Even if a change sets us up for a great future, most people won’t warm up to it quickly. To successfully drive change within an organization, create a burning platform for change so that failing to change is more painful than the change itself. Offer a compelling vision of the future once the change is complete, give people the confidence of success, and provide the opportunity to help create the change (instead of falling victim to it).

2. Knowledge of customers

You may think you have the answers, but how well do you actually know your customers? To incorporate your customers’ voice into your product development, you can use these five tactics:

Humility: Truthfully, we don’t even know ourselves that well, so it’s important to recognize that understanding someone else well enough to predict future behavior is no small feat.
Specificity: Figure out exactly what you need to know about your current or potential users that would make a difference to your product development. Use questions like: “What do you they like or not like about your product?” and “What are their unmet needs?”
Involvement: Get your whole team involved in customer research to allow the entire development process to include an understanding of the customers’ world and their current reality.
Iteration: One round of user testing is not enough — You need to continually study your customers to see how they’re reacting to your product and how their needs are changing.
4D listening: Try to see past the surface of what your customers are saying to what they’re truly asking of you. Your customers may not be able to envision the more practical solutions that your product team conceives.

3. Risk management

Is it risky to transform your enterprise? Of course! The key to success is creating the expectation that innovation efforts are an iterative process. Successful innovation requires experiments, learning, persistence and, most importantly, the willingness to fail. Once you have alignment around the idea that some level of risk is necessary and appropriate, you can gain confidence from enterprise funders by envisioning the different types of risks your efforts might face and develop remediation strategies to combat those risks.

4. Organizational Agility

As quickly as you can adapt, the digital world changes. Organizational agility is key to keeping up in the digital arena. There are five specific types of agility that are important for success in digital:

Sensing: This means knowing what’s going on around you so you can be aware of what actions might be required. How are customers, competitors and industry regulations changing, and what new technology exists that could impact your digital experiences?
Technology: Moving quickly from idea to live solution is important in supporting and growing your digital experience. Does your enterprise have technology stacks that are adaptable and easily maintained? Are your content and presentation capabilities accessible to your product owners and content managers?
Decision-making: Capital approval processes that take months to reach a final decision don’t work with the speed of digital. The people running your innovation projects need the autonomy and authority to make decisions on the ground-level so that they happen with speed necessary to keep up with the digital world.
Strategy shifts: Embrace and expect that your innovation projects will go through a process of trial-and-error on their way to the kind of digital transformation success that you’re seeking.
Teaming: Despite a persistent myth, there is no one structure in which all digital work can be done by a single team of people operating under a single executive. The key to teaming agility is creating a culture with alignment across divisional silos, so that mobilization of the right people happens quickly and efficiently.

5. Transformation vision

Many organizations have a basic vision for growth: Optimize what already exists or expand upon current offerings. But to create a true transformation vision, one that encompasses your entire organization, you need to determine how the world is changing and how that will affect your customers’ needs. Only then can you determine what new products and services you can bring to market and the different channels you’ll need to deliver on them. You may even decide that the imminent changes will shift your focus to an entirely new set of customers! To be successful in the long-run, think regarding transformation time so that you can get a few steps ahead.

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

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Top 10 Human-Centered Change & Innovation Articles of November 2023

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Top 10 Human-Centered Change & Innovation Articles of November 2023 Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are November’s ten most popular innovation posts:

A Quantum Computing Primer — by Greg Satell
Disagreements Can Be a Good Thing — by Mike Shipulski
What’s Your Mindset — by Dennis Stauffer
We Are Killing Innovation in America — by Greg Satell
Two Kinds of Possible — by Dennis Stauffer
Eddie Van Halen, Simultaneous Innovation and the AI Regulation Conundrum — by Pete Foley
Five Secrets to Being a Great Team Player — by David Burkus
Be Clear on What You Want — by Mike Shipulski
Overcoming Your Assumptions — by Dennis Stauffer
Four Things All Leaders Must Know About Digital Transformation — by Greg Satell

BONUS – Here are five more strong articles published in October that continue to resonate with people:

Innovativeness = Effectiveness — by Dennis Stauffer
LEGO Knows Why Companies Don’t Innovate — by Robyn Bolton
Sometimes You Should Collaborate Instead of Compete — by Greg Satell
Mastering Your Innovation Mindset — by Dennis Stauffer
Thinking Like a Futurist — by Ayelet Baron

Have something to contribute?

P.S. Here are our Top 40 Innovation Bloggers lists from the last three years:

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Four Things All Leaders Must Know About Digital Transformation

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(But Most Don’t)

Four Things All Leaders Must Know About Digital Transformation

GUEST POST from Greg Satell

Today, technology has become central to how every business competes. Futuristic advancements like artificial intelligence, big data and cloud computing are no longer pie-in-the-sky propositions, but mission critical initiatives that leaders are racing to implement within their organizations.

Unfortunately, most of these initiatives fail. In fact, McKinsey found that fewer than a third of organizational transformations succeed. That’s incredibly sobering. Imagine any other initiative with that type of expected return not only getting consistently funded, but enthusiastically viewed as a smart bet on the future.

Yet digital transformation doesn’t have to be a sucker’s bet. The truth is that digital transformation is human transformation and that’s where you need to start. Initiatives fail because organizations habitually get blinded by the “gee-whiz” aspects of technology, don’t focus on clear business objectives, scale too fast and then declare victory way too early.

1. Focus on People First, Technology Second

At first, digital transformation seems fairly straightforward. There are many capable vendors that can competently implement cloud technology, automation, artificial intelligence applications or whatever else you’re looking for. So, theoretically at least, a standard procurement process should be effective in sourcing and executing a project.

Yet consider how the the nature of work has changed has changed over the last few decades, due to technological shifts. We spend far less time quietly working away at our desks and far more interacting with others. Much of the value has shifted from cognitive skills to social skills and collaboration has increasingly become a competitive advantage. New technologies such as the cloud and AI will only strengthen and accelerate these trends.

The truth is that value never disappears it just shifts to another place. Consider the case of bank tellers. There are more than twice the number of bank tellers today than there were before ATM machines, but the work they do is vastly different. They are no longer there to execute transactions, but to advise, solve problems and up-sell. That takes very different skills.

So the first step towards a successful digital transformation is not the technology itself, but thinking about how you can empower your people through it. Where do you expect value to shift to? What new skills will your people need to learn in order to succeed? How can technology help them get where they need to be to serve your customers well?

2. Establish Clear Business Outcomes

Another common mistake executives make when implementing new technology is to focus on the capabilities of the technology itself, rather than the business outcome you hope to achieve. Are you trying to drive transactions, improve service and customer experience or something else entirely? You need to determine that before you can even think about a technical approach.

That’s why every transformational effort should involve operational managers, partners and front-line workers from the start. You need also to talk to customers and see what they actually value, rather than what would simply help operations to run smoother. From there, you can begin to develop a vision for how your business can function differently.

For example, when Barry Libenson first arrived at the data giant Experian as Global CIO in 2015, he spent his first few months talking to customers and the business units that served them. Everywhere he went, he found the same thing: what customers valued most was access to real-time data, which his company’s existing infrastructure could not provide.

From there, the path forward was fairly simple, but not easy. He needed to shift his company from a traditional on-site server architecture to the cloud. That took him three years to accomplish, but it transformed Experian’s business, empowered new business models and led to new revenue streams.

3. Identify A Keystone Change

Once the vision is in place, the tendency, all too often, is to embark on what becomes a “five-year death march” to achieve it. In the end, everybody ends up frustrated, angry and, inevitably, it turns out that by the time the vision is achieved, the technology is out of date.

So instead of trying to swallow the entire vision whole, it’s best to start out with a keystone change. Think about a clear and tangible goal you can achieve in the near term that would require the involvement of multiple stakeholders and pave the way for future, more complex initiatives in the future.

One way to do this is to choose a solution that will help people with tedious, mundane tasks rather than create a new capability. It’s much easier to get people excited by reducing the time and effort they have to expend on something they hate then it is to push them to adopt something new. You always want to attract and empower, rather than bribe or coerce.

For example, in Experian’s case, Libenson started out by creating internal API’s rather than building customer facing features. These didn’t create an enormous impact, but they showed what was possible and built momentum for the larger vision.

4. Treat Transformation As A Journey, Not A Destination

Perhaps the most dangerous part of any transformation is when the initial objectives have been achieved. That’s when motivation begins to weaken and complacency sets in. In my book, Cascades, I call this problem surviving victory and it is a crucial element of every transformational effort.

The key to surviving victory is to plan for it from the start. In Experian’s case, the journey was never about the cloud. That was merely a destination. The vision was always to serve customers better and to develop new business models. That’s why Libenson focused not only on implementing technology, but indoctrinating new values and beliefs.

“Having gone through this transformational process over the past three years and seeing concrete business results, we are much better positioned to adopt those technologies,” he told me. “We’ve made the changes in culture, our organizational structure and skills to be able to adopt new technologies quickly, completely and with better collaboration with our customers.”

That emphasis on values is key, because to change fundamental behaviors you first have to change fundamental beliefs and digital transformation is always about empowering action. Keep your eye on that and you will be likely to succeed where most others fail.

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

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Thanksgiving Sale on Charting Change

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Wow! Exciting news!

My publisher is having a Thanksgiving sale that will allow you to get the hardcover or the digital version (eBook) of my latest best-selling book Charting Change for 55% off!

Including FREE SHIPPING WORLDWIDE! *

I created the Human-Centered Change methodology to help organizations get everyone literally all on the same page for change. The 70+ visual, collaborative tools are introduced in my book Charting Change, including the powerful Change Planning Canvas™. The toolkit has been created to help organizations:

Beat the 70% failure rate for change programs
Quickly visualize, plan and execute change efforts
Deliver projects and change efforts on time
Accelerate implementation and adoption
Get valuable tools for a low investment

You must go to SpringerLink for this Cyber Sale:

The offer is valid until November 30, 2023 only using code CYB23

Click here to get this deal using code CYB23 and save 55%!

Quick reminder: Everyone can download ten free tools from the Human-Centered Change methodology by going to its page on this site via the link in this sentence, and book buyers can get 26 of the 70+ tools from the Change Planning Toolkit (including the Change Planning Canvas™) by contacting me with proof of purchase.

*This offer is valid for selected English-language Springer & Palgrave books and eBooks and is redeemable on link.springer.com only. Titles affected by fixed book price laws, forthcoming titles and titles temporarily not available on link.springer.com are excluded from this promotion, as are reference works, handbooks, encyclopedias, subscriptions, or bulk purchases. The currency in which your order will be invoiced depends on the billing address associated with the payment method used, not necessarily your preferred currency. Regional VAT/tax may apply. Promotional prices may change due to exchange rates. This offer is valid for individual customers only. Booksellers, book distributors, and institutions such as libraries and corporations please visit springernature.com/contact-us. This promotion does not work in combination with other discounts or gift cards.

Top 10 Human-Centered Change & Innovation Articles of October 2023

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Top 10 Human-Centered Change & Innovation Articles of October 2023 Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are October’s ten most popular innovation posts: