It may come as a surprise to some to hear that technology teams play an important role in the implementation of an effective customer experience strategy, but that's the conclusion from our latest research.
We all hear and read stories of terrible customer experiences; like me, you probably have had your own share of bad experiences. And social media has made it possible for these bad experiences to be shared instantly with millions of people. But in our journey through life, we also experience service that exceeds our expectations. And as we read reviews online, we're more likely to see a mixture of both good and bad experiences. For example, I recently posted a glowing review for a B&B in Bethel, ME, even though a few things about my stay would have typically caused me to deduct points. My five-star review was extremely positive because the proprietor had blown away my expectations on service, delivering an experience way beyond any I've had in a five-star hotel.
But excelling at the personal touch in a small-town B&B is far easier than doing it at scale in a multibillion-dollar business. Yet there are companies that consistently deliver great customer experiences. (My colleagues even wrote a book on them). They aren't perfect all the time, but, on average, they are better than their competitors. At Forrester, we identify these companies through our annual Customer Experience Index (CXi) research. Toward the top of the 2013 index, we find companies like Marshalls, Courtyard by Marriott, USAA, TD Bank, Southwest Airlines, Vanguard, Home Depot, Kohl's, Fidelity Investments, and FedEx.
Smart meters provide consumers with granular data on how they are consuming energy — when is the meter spinning fastest, which appliances are the energy guzzlers, how much energy are those idling appliances consuming? Programs to increase consumer awareness and shift demand to off-peak times abound. I delay the start of my dishwasher to after 11pm here in France to take advantage of off-peak tariffs. Most consumers, however, are not highly motivated by just knowing their own consumption. Good news: Opower, a provider of really smart energy solutions, has cracked the code.
The Opower solution draws on a study of how messages influence consumption. Turns out, if you tell people that they will save money by turning off their air conditioning and turning on a fan during peak hours they likely won’t. Those are typically the times when it is really hot. Messages of “civic responsibility” and “saving the environment” also don’t really register. However, when consumers are told that 75% of their neighbors will turn off their air conditioning and turn on a fan, behavior changes. That message had a 6% drop in consumption. Opower now uses these types of comparisons in all of their offerings.
The Renaissance was possible because of dissemination of ideas from the later 15th century. The availability of paper and the subsequent invention of the printing press in 1445 forever changed the lives of people in Europe and, eventually, all over the world. Previously, bookmaking entailed copying all the words and illustrations by hand, often onto parchment or animal skin. The labor that went into creating books made each one very expensive to make and acquire. The advent of the printing press helped produce books better, faster, and cheaper and led to disruptive cultural revolution.
We are experiencing a very similar phenomenon today. We are in the midst of digital disruption. The printing press of our time is platforms such as social, mobile, cloud and analytics that help propagate value to our customers better, faster and more cheaply than previously available options. So whether you are on board or not, this disruption is taking place; the two choices you have are: become a disruptive CIO or be disrupted.
As I analyzed examples of digital disruption I’ll be highlighting at the upcoming CIO Forum — “Leading Digital Disruption” — I was struck by the way in which every example could be tied to a shift in customer experience along two dimensions: pleasure and time.
Along the pleasure dimension, disruptive technologies significantly increase the pleasure (or reduce the frustration) derived from the customer experience. For example the iPad significantly increased my pleasure in browsing the web and engaging with brands I like through tailored apps.
And on the time dimension, disruptive technologies save customers significant amounts of time; time being the most precious commodity in the world. My iPad allows me to do many things much faster than I could before because it is easy-to-use and contains many apps which connect my lifestyle together.
So I began to explore how CIOs might use this understanding to help shape the analysis of prospective disruptive strategies. What I came up with is the customer experience zone of disruption (or CxZOD for short — see illustration).
In the zone of disruption, the impact on pleasure and/or time is so great as to cause a disruptive force in the marketplace. When coupled with an assessment of potential market impact, this becomes an easy-to-understand visual model for comparing potential disruptive initiatives.
In my session at the forum, I’ll be exploring this model and showing how to use it to better understand existing technologies, such as mobile apps, and their potential to become disruptive.
What disruptive digital technologies would you place in the CxZOD? Post your comments below or Tweet #CXZOD
You have heard the word disruption; you know what that is. And you have heard the word digital. You know what that is, too. But put them together – digital disruption – and they add up to much more than the mere sum of their parts. Digital disruption, when properly understood, should terrify you.
Three sources of digital power – the prevalence of free tools and services that enable disruptors to rapidly build products and services, the rise of digital platforms that are easily exploited by aspiring competitors from all directions, and the burgeoning class of digital consumers ready to accept new services – have combined to unleash a disruptive force that will completely alter every business on the planet. Digital disruption isn’t disruption squared. It’s the disruption of disruption itself.
Most people I meet think they get digital disruption. And a survey of global executives we conducted shows that 89% of executives believe that digital will disrupt their industry. But they don’t realize just how big a deal disruption will be when it finally hits them.
I have been writing and speaking about digital disruption for years – full time for more than a year now – and it still manages to surprise me. In the month of October, I’ll keynote several Forrester Forums and there confess that digital disruption is even more powerful than I thought it was when I wrote the original Disruptor’s Handbook in 2011. What have I learned?
Uli Kalex from Alfabet, whom many of you know, has provided us with a guest post addressing one key fallacy which underlies much of IT’s work with their business. I hope you enjoy it and feel free to comment.
As a mathematician and product manager, I strongly prefer the reliability of analysis over the uncertainty of gambling. That is why I like to go to Las Vegas . . . at least for the annual Forrester CIO and EA Forums. Thought and industry leaders from around the world get together and discuss the driving forces and challenges in IT management. As such, I experienced this year’s event as a real catalyst for discussions around the increased requirements and frustrations in IT planning — and a call to arms for IT leaders everywhere.
Dwight D. Eisenhower once famously said: “Plans are worthless, but planning is everything.” He was talking about armed conflicts, but the statement holds a lot of truth for today’s businesses as well. In the business world, an unforeseen change can make even the most sophisticated plan obsolete overnight — be it a change in regulation, a budget cut, or a company acquisition. To survive and thrive in this increasingly complex and dynamic environment, businesses need an IT organization that shows a path to meet business objectives while being flexible and responsive enough to adapt as needed. Ultimately, the best route is always changing.
Join us at Forrester’s CIO Forum in Las Vegas on May 3 and 4 for “The New Age Of Business Intelligence.”
The amount of data is growing at tremendous speed — inside and outside of companies’ firewalls. Last year we did hit approximately 1 zettabyte (1 trillion gigabytes) of data in the public Web, and the speed by which new data is created continues to accelerate, including unstructured data in the form of text, semistructured data from M2M communication, and structured data in transactional business applications.
Fortunately, our technical capabilities to collect, store, analyze, and distribute data have also been growing at a tremendous speed. Reports that used to run for many hours now complete within seconds using new solutions like SAP’s HANA or other tailored appliances. Suddenly, a whole new world of data has become available to the CIO and his business peers, and the question is no longer if companies should expand their data/information management footprint and capabilities but rather how and where to start with. Forrester’s recent Strategic Planning Forrsights For CIOs data shows that 42% of all companies are planning an information/data project in 2012, more than for any other application segment — including collaboration tools, CRM, or ERP.
I had an interesting conversation with a Forrester client in response to an inquiry about the definition of “time to value” for technology solutions. When I received the question, I thought, “That’s easy!” While there is no “GAAP” definition of time to value, I was ready to say that it would be one of two things:
1- The time from project start to the start of business benefit accrual. So, if a project took 12 months to implement, and then three months for the business to adapt to it, the time until business benefits began to accrue would be 15 months.
2- The time from project start to the date at which cumulative business benefits exceeded the cumulative costs. In other words, the time until the “payback” of the investment.
However, in trolling around to make sure that I hadn’t missed anything, I stumbled upon a potential third definition (and I wish I could point back to the source). One commentator on the Web suggested something a bit different – and something that has a great deal of merit as we rely more and more on technology to drive business gains. In his definition, time to value represented the time until the business targets for the solution were achieved. So, rather than looking at the start of benefits, or the date we’re no longer cash-negative, we are now looking at the time until the full desired benefits are achieved. So this becomes:
3- Time to value is the time from project initiation until the projection of total business benefits is achieved.
This change in perspective has a number of implications:
A funny thing happened while we in IT were focused on ITIL, data center consolidation and standardization. The business went shopping for better technology solutions. We’ve been their go-to department for technology since the mainframe days and have been doing what they asked. When they wanted higher SLAs we invested in high availability solutions. When they asked for greater flexibility we empowered them with client-server, application servers and now virtual machines. All the while they have relentlessly badgered us for lower costs and greater efficiencies. And we’ve given it to them. And until recently, they seemed satisfied. Or so we thought.
Sure, we’ve tolerated the occasional SaaS application here and there. We’ve let them bring in Macs (just not too many of them) and we’ve even supported their pesky smart phones. But each time they came running to us for assistance when the technical support need grew too great.