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The Idea in Brief

If you lot run a service business concern, your customers aren't just open wallets at the end of your supply chain. They disrupt every step of your core operations with their unpredictable beliefs—requesting service at inconvenient times, asking for a bewildering array of things, changing their minds.

This customer variability spawns costly inefficiency. How to manage it? Frei suggests diagnosing the type of variability yous're dealing with—such as "arrival variability" (enervating service at inconvenient times) and "request variability" (asking for many different things).

Then decide: will you lot accommodate or reduce the variability? Typical methods for managing variability work well just carry trade-offs. For instance, a restaurant that accommodates "off the menu" orders ("asking variability") enhances patrons' fine-dining experience—but must charge premium prices to embrace resulting cost increases. If the restaurant reduces request variability by accepting just menu-listed orders, it improves efficiency—but compromises diners' experience.

Withal some strategies avoid trade-offs—by ensuring a positive customer experience and maintaining efficiency. Consider Starbucks' uncompromising reduction: the visitor reduces "capability variability" (power to state orders clearly and quickly) past training customers to order complicated drinks in a prescribed way—without detracting from their feel.

Augment typical accommodation or reduction strategies with more than creative ones, and you lot seize competitive advantage.

The Thought in Practice

Diagnosing Customer Variability

Customer variability takes v forms:

Types of Customer Variability

Looking Beyond Classic Accommodation or Reduction

Consider these strategies to accommodate or reduce customer variability—without trading off efficiency or the quality of customers' feel.

Creative Strategies for Managing Variability

What if a manufacturer had to bargain with customers waltzing around its shop floor? What if they showed upwards, intermittently and unannounced, and proceeded to muck up the manufacturer's carefully designed processes left and right? For almost service businesses, that'southward business as usual. In a restaurant or a rental car agency or most of the other service companies that make upwardly the bulk of mature economies today, customers aren't simply the open wallets at the terminate of an efficient supply chain. They're directly involved in ongoing operations. The fact that they innovate tremendous variability—but mutter nigh any lack of consistency—is an everyday reality.

Dealing with that variability is a cardinal claiming in making a service offering assisting. Merely little in managers' conventional grooming or tool kits equips them to deal with information technology effectively. Operations direction theory, rooted in the manufacturing context, typically has but ane thing to say about variability: It must be eliminated. Any educated managing director learns to recognize it as the enemy of quality.

In the service context, the challenge is far more subtle. Showtime, it wouldn't be wise to drive out all variability; customers judge the quality of their feel in large part by how much of the variability they innovate is accommodated, not how sternly it is denied. 2nd, information technology wouldn't be possible to do and then. While manufacturers take nearly complete control over the cost and quality of their production inputs, service companies face this one, huge exception: Their customers are themselves primal inputs to the production procedure. That course of input is, by its nature, capricious, emotional, and doggedly disinterested in the company'southward profit agenda.

My inquiry over the by several years has been aimed at helping service organizations overcome the challenge of client-introduced variability. I've studied a broad diverseness of service companies, some of which prospered while others experienced escalating costs in the face of eroding customer satisfaction. The framework that has emerged from that study tin can assistance managers make better decisions almost how and how much to reduce or accommodate the variability customers introduce. Equally the stories in the following article brand clear, there are multiple ways to combat the effects of any blazon of variability, and the best solution is not always immediately credible. But by using a systematic process to diagnose problems and design and fine-tune interventions, managers can reduce the touch on of variability and heighten the competitiveness of their service.

Five Types of Variability

The beginning footstep in managing the variability introduced by customers is to understand the forms it can take. Customers introduce variability to operations in no fewer than five ways, so it is critical to sort out which type is causing mischief before designing interventions.

Arrival variability.

The kickoff blazon of variability that creates challenges for service companies is an obvious one: Customers do not all desire service at the same time or at times necessarily user-friendly for the company. Many a grocery store manager has bemoaned shoppers' inability to space their transactions such that checkout clerks remain busy and lines do not form at the registers. The archetype way to address arrival variability is to require appointments or reservations, but that makes sense only in certain situations. In many service environments, such as retail stores, call centers, or emergency rooms, the customers themselves cannot foresee or delay their needs. The resulting inefficiencies accept inspired a large body of work in what's known as queuing theory and many solutions (including those described by W. Earl Sasser in "Friction match Supply and Demand in Service Industries," HBR November–Dec 1976).

Asking variability.

Movie buffs will recall the diner scene in the movie Five Easy Pieces, in which role player Jack Nicholson asks for a side order of wheat toast. The rule the waitress invokes—no substitutions—is a time-honored way to limit request variability, or the range of what customers enquire for in a service environs. While it's hard to imagine operations grinding to a halt over an order of toast, the fact that customers' desires don't sally forth standard lines poses existent challenges for nigh every kind of service concern. At an advertising agency, each client is executing a unique marketing strategy. At a resort, vacationers desire different civilities. Even at a unmarried-service business like Jiffy Lube, customers bear witness up with dissimilar makes and models of automobiles.

Capability variability.

Perhaps less obviously, service businesses must also piece of work with customers whose own capabilities differ. Whether considering of greater cognition, skill, physical abilities, or resources, some customers perform tasks easily and others require manus-holding. This capability variability clearly becomes more important when customers are active participants in the production and delivery of a service. A cleaning service may get in, practice its piece of work, and leave, having had no real interaction with the customer. The customer's particular capabilities make footling divergence to how well the crew does its chore. In a medical setting, by contrast, a patient may be more or less able to describe his symptoms, and that volition affect the quality of the wellness care he receives.

Endeavor variability.

When customers must perform a role in a service interaction, information technology'due south up to them how much effort they apply to the task. An internal auditor may or may non take care to mitt over well-organized files to her company's contained auditor. A shopper at a warehouse club may or may not take the remaining energy to return his massive shopping cart to one of the corrals in the parking lot. Such endeavour variability has an bear on on service quality and cost, either directly for the date at mitt or indirectly for other patrons.

Subjective preference variability.

Customers also vary in their opinions virtually what it ways to exist treated well in a service environment. One diner appreciates the warmth of a waiter's beginning-name introduction; another resents his presumption of intimacy. When a summit partner in a constabulary firm lavishes attending on engagements, some clients will exist gratified by the proof of their cases' importance. Others will think those expensive billable hours could be doled out more judiciously. These are personal preferences, simply they innovate every bit much unpredictability as whatsoever other variable and make it that much harder to serve a broad base of customers.

It'southward possible to retrieve of these 5 forms of variability sequentially considering they reflect the process past which many service transactions unfold. The customer arrives, makes a asking, plays a part in the procedure requiring some level of capability and try, and assesses the feel according to personal preferences. At any of these points, life is easier for a service provider if it is dealing with a narrow band of variability. Where the band is wide, service quality and efficiency are at risk.

The taxonomy in a higher place is important because operational bug in a service business can often be traced to problems created by customer-introduced variability. Simply the right strategies to manage, say, endeavour variability (often involving incentives) can exist completely unlike from the strategies for dealing with capability variability (typically some sort of grooming). Before managers tin draft an appropriate response, they must diagnose which variability is at result.

A Classic Trade-Off

Wherever customer-introduced variability creates operational issues for a company, managers face a choice: Do they desire to accommodate that variability or reduce it? Generally, companies that emphasize the service feel tend toward accommodation, and those that emphasize operational simplicity—usually every bit a means to keep costs low—tend toward reduction. The two approaches are in constant tension.

Wherever customer-introduced variability creates operational issues for a company, managers face a choice: Practice they desire to accommodate that variability or reduce it?

Consider a archetype analogy of a reduction strategy: the restaurant menu. Menus, by their nature, are a style to constrain request variability. They put a limit on what would otherwise be an infinite number of potential orders and therefore make it possible for a eatery to offer meals of consistent quality at a reasonable toll. But customers abrasion nether as well many constraints (again, think Jack Nicholson'south rage in 5 Easy Pieces). For them, the ability to asking variations in training, ingredients, and side dishes—or to order off the card entirely—is part of a premier dining experience. When restaurants do not accommodate special orders, they reduce the complication of the operating surround but also may diminish service quality. Companies that employ reduction strategies tend to concenter price-conscious customers who are willing to trade off an excellent service experience for low prices. People who cull disbelieve airlines, majority retailers, moving picture matinees, and off-peak travel options essentially reduce their collective variability by conforming to a company'due south operational needs, fifty-fifty at the run a risk of an junior service experience.

Adaptation strategies have different forms, depending on the business and type of customer-introduced variability. Very oftentimes, accommodation involves request experienced employees to compensate for the variations amid customers. For example, in a business where customers take divergent views of how service should be delivered (a business, that is, with high subjective-preference variability), a veteran employee learns to diagnose client types. By making on-the-fly adaptations to suit their preferences, he substantially "protects" the customers from having to make many adjustments of their own.

Information technology costs more, of course, to hire, train, and go along employees who can compensate for customers. Like almost adaptation strategies, this 1 forces the company to bear the brunt of the variability. Therefore, the success of an adaptation strategy usually hinges on a company'southward ability to persuade customers to pay more than to comprehend the added expense. Generally, only companies at the high finish of their competitive mural tin can command such a premium. Those at the low stop must rely on strategies to reduce variability.

Managing customer-introduced variability does not have to come down to a stark merchandise-off between cost and quality.

Just managing client-introduced variability does not have to come down to a stark merchandise-off between toll and quality. Some companies have met the challenge without damaging either the service experiences they provide or their operating environments. In a matrix representing the archetype trade-off as a linear function of cost to serve versus the quality of the service feel, these companies have gone "above the diagonal." (Meet the showroom "Overcoming the Trade-Off.") The matrix shows possibilities across classic reduction and classic accommodation strategies: the potential for what can exist termed uncompromised reduction and depression-cost accommodation.

Managers in service businesses often assume that they face a tough selection: either accommodate customers' various desires and behaviors at high cost or refuse to conform variability and adventure customer defection. But other options exist—those above the diagonal of the matrix—which let companies offering a high level of adaptation at depression cost or reduce variability without dissentious the service experience.

Here's an example of an uncompromised reduction arroyo. A company can profoundly reduce the impact of variability on its operating surround without compromising the service experience by targeting customers on the footing of variability blazon. If, for example, a higher fears that admitting students of varying intellectual capabilities volition complicate its operations, it can cull just students whose standardized examination scores fall within a narrow ring. The students go the benefit of a tailored curriculum without the school'south having to support more than one. Likewise, a visitor faced with subjective preference variability can target customers who are predisposed to desire service to exist delivered the aforementioned way. It isn't always like shooting fish in a barrel to know where customers fall on the relevant spectrum of variability, and there isn't always sufficient demand inside a given band of customers to sustain a business. However, companies that find such a niche tin can benefit from reduced variability without requiring customers to adjust.

Companies that accomplish low-toll accommodation most often do it by persuading customers to serve themselves. This strategy is very effective for loftier arrival or request variability, both of which complicate labor scheduling. Apparently, when the client is responsible for much of the labor, the correct labor is provided at the right moment. Farther, past having customers serve themselves, companies are allowing the service experience to vary with customers' capability and effort (all-around capability and effort variability) and giving customers command of the service environment (accommodating subjective preference variability). The online auction house eBay shows how far this model can exist taken: Virtually all the labor of selling and buying on the site is performed by customers, not by eBay employees.

The problem is that many companies, unlike eBay, have established precedents whereby employees perform certain tasks for customers. For those companies to succeed with a depression-toll adaptation approach, they must persuade customers to exercise the piece of work. This "persuasion" is typically achieved through some redefinition of the customer value proposition. That is, customers need to feel compensated in some manner—whether through lower prices, greater customization, or other benefits of being in command—in lodge to experience adept about doing work they think the company should exist doing.

Solutions in Practise

Once a management team understands the types of variability customers introduce, and the possibilities for reducing or accommodating variability, the claiming of managing service operations becomes more tractable. Let's revisit the four strategic responses discussed to a higher place: classic accommodation, classic reduction, depression-price accommodation, and uncompromised reduction. (The exhibit "Strategies for Managing Customer-Introduced Variability" gives examples for each.) The history of successful service companies reveals that they've used every one of these strategies at i time or another.

Once a company has determined which type of customer-introduced variability is creating operational difficulties, it must choose which of iv bones strategies to pursue. The chart outlines tactics that accept proven to be effective in each category.

In the tardily 1990s, for example, Dell faced the challenge of high inflow and request variability in its customer service operations as the company considered calculation large servers to its product array. It knew that these loftier-end servers, and the corporate customers who bought them, would create significant new demands for responsive service. Given the competitive context, Dell would have to be prepared to satisfy these demands effectually the clock and across a broad spectrum of possible malfunctions. Equally a new aspirant in the market, lacking scale in its service operations, the company faced a trade-off between maintaining an underutilized and expensive service operation (adaptation of variability) and achieving higher predictability and utilization by, for instance, request customers to schedule appointments (reduction of variability). Dell understood that, from its customers' perspective, accommodation was the only alternative, so the company set out to find a way to insulate itself from the furnishings of variability without compromising customers' service experiences.

Dell's solution was to outsource on-site client service to third-party providers, who served more than one client and thus were less disrupted by the variability imposed by Dell'due south customers than Dell would have been had it acted alone. The move posed some risk: By giving up this customer contact in exchange for lower costs, Dell could have lost command of its customer relationships. The company prevented that through strict vigilance, staying in close touch with customers to hash out their needs and to assess their experiences with the tertiary-party providers. By maintaining this contact, Dell effectively made the providers' role less prominent. In the cease, the visitor achieved a low-toll accommodation of the variability its customers brought to the service relationship.

Starbucks provides an fantabulous example of the deft treatment of capability variability. The java shop chain allows customers to choose among many permutations of sizes, flavors, and preparation techniques in its beverages. In the interests of filling orders accurately and efficiently, Starbucks trains its counter clerks to call out orders to drink makers in a particular sequence. It is all the meliorate when customers themselves can do so. Therefore, Starbucks attempts to teach customers its ordering protocol in at least two ways. It produces a "guide to ordering" pamphlet for customers to peruse, and it instructs clerks to repeat the order to the customer non in the manner it was presented but in the right way. The tone is non one of rebuke, but nevertheless most customers learn to avoid the implied correction past stating their lodge in the style that helps Starbucks's operations—with no hit to the service feel. Indeed, for some customers, getting the order right is an aspiration, a small victory on the way to the function. Information technology'southward a clever solution, achieving an uncompromised reduction of variability.

Companies facing problems relating to effort variability often resort to the classic accommodation arroyo: They simply require employees to do the piece of work for the lazier customers, with an obvious impact on operating costs. Some companies, withal, try to compel those customers to work a little harder. As decades of research on employee motivation have emphasized, there are two ways to change behavior: instrumental ways and normative means. Instrumental means are formal rewards and penalties for specified behaviors—the bones carrots and sticks of discipline. Normative means rely more subtly but oft more finer on shame, blame, and pride. In the case of Zipcar, an auto-sharing service, motivating customers to make the effort asked of them is specially important because their deportment influence non merely themselves merely also other customers. A car returned to its parking space tardily by one user spells real inconvenience for the next. While tardily fees are a common instrumental control for this blazon of situation, they risk being perceived past the customer as a license to exist late. Indeed, late fees ofttimes assist compensate a business for customers' plush choices, but they are non always effective in irresolute their behavior.

Normative controls, which brand customers want to behave, can be far more successful, but these incentives are difficult to arts and crafts. Why would 1 customer necessarily care most the inconvenience suffered past another? To use normative controls effectively, companies need to create an environment in which customers care virtually the impact of their beliefs on others. Such an surroundings exists on eBay, where customers serve i another with great care, in big office because of the customer-to-client commitment the company has congenital through tools such as feedback stars, which publicize buyers' and sellers' by behavior. Normative controls can exist particularly of import when instrumental incentives have failed. (As Steven Levitt and Stephen Dubner relate in Freakonomics, when a twenty-four hours care centre instituted late fees for parents who were not on fourth dimension to option upwardly their children, lateness got worse. The fee reduced the parents' guilt, which had been a powerful normative incentive.) Companies like Zipcar must non simply determine how they need customers to conduct simply also come up with effective ways to promote that behavior.

The best strategy for irresolute customers' behavior is not e'er obvious, nor is the best strategy for managing a specific type of variability. Tiffany & Company, the luxury jeweler, suffered from missteps in 2001, when it failed to anticipate how customers would react to what seemed like a logical solution. Its problem was 1 that many retailers would similar to take: The make's popularity was soaring among the so-called mass flush segment—a fast-growing market of moneyed consumers. Consider that Tiffany'south hallmark had long been the graciousness of its service. As customers began crowding into its stores, this traditional service feel was being undermined. In particular, management noticed, with and then many people milling around the floor it was hard for employees to uphold the first-come-commencement-served norm.

Tiffany dealt with this arrival variability with a tried-and-truthful device: the beeper. Upon arrival in the shop, customers were given a beeper and told they would exist buzzed as soon as a service person was available. Unfortunately, the reaction of the customers Tiffany most wanted to protect—its about wealthy and loyal ones—was outrage. Management had failed to recognize that a more problematic form of variability—subjective preference variability—had disrupted the business. While the mass-market client arriving in the shop was well acquainted with beepers, and even felt well served past them, the more enervating luxury customer found them to be inconsistent with Tiffany's historic commitment to white-glove service. Only after the visitor saw a dramatic plunge in satisfaction among the latter group did it face up its fundamental managerial challenge: whether (and how) to serve two distinct segments of customers through a single retail channel. Tiffany's challenge was complicated past the fact that the less expensive silverish jewelry was popular with both segments, which made it difficult to come up with a solution that segmented service on the ground of product type. (Subjective preference variability is as well the focal point of Southwest Airlines' current dilemma. Run into the sidebar "Should Southwest Airlines Be More Accommodating?" for details.)

Every bit this commodity was existence prepared for publication, a controversy erupted among the customers of 35-year-old Southwest Airlines. Throughout its history, the company has employed an unusual boarding policy: no assigned seats. Instead, customers cull where to sit as they board the plane. The resulting cattle call has always produced some grumbling, particularly among the frail members of the herd. More troubling to the analysts who follow Southwest'south fortunes, the boarding policy alienates some business travelers, who tend to arrive at airports just minutes earlier deviation—and are generally willing to pay more than for option seats.

What the policy clearly has in its favor is efficiency. Southwest's average turnaround—the fourth dimension that elapses between a plane's pulling up to a gate and its pulling abroad for the next takeoff—is forty% faster than competitors'. The net result is a level of fleet productivity that keeps costs and fares depression. For some customers, the no-assigned-seating policy has some other thing in its favor: egalitarianism. Passengers who travel infrequently, using their ain money—and who want to savor the feel—are not necessarily well served by airlines that favor frequent business organisation fliers.

So in June 2006, when Southwest announced an experiment in which flights out of San Diego would accept assigned seats, the resistance from longtime customers was dramatic. The experiment was designed to discover how boarding fourth dimension would be affected by a less charged but also less chaotic process. Obviously, management had non anticipated the result on the customer experience.

What'southward going on here, and how should Southwest proceed? Information technology's useful to see the situation in terms of customer-introduced variability. Most airlines cater to a wide range of subjective preferences amidst their customers. But Southwest, in support of its low-cost model, opted for a strategy of reducing, rather than all-around, variability. People who like the airline's approach self-select into its customer base of operations. Others adjust their preferences to avail themselves of Southwest's low fares.

It's of import to recognize that part of the reason so many customers are willing to do this is that Southwest's offering is then obviously egalitarian. Indeed, the airline seems to accept realized that whatever deviation from this ethos could be problematic. In the past, it has denied requests for various services from some frequent fliers even when they would have toll cipher to implement and would not have affected disquisitional operating metrics, such every bit turnaround fourth dimension. Amid the credible threat of client defection, the company held fast, knowing that if passengers saw some receiving special perks, their subjective preference for equal treatment would be violated.

Now that Southwest Airlines has a customer base accepted to open seating, it faces an uphill battle of behavior alter if information technology decides to make a switch. Management of customer-introduced variability will come to the fore as a key to competitiveness and profitability. For the moment, the airline seems ill equipped to take on that challenge. "I am averaging easily 100 letters a day," Southwest president Colleen Barrett told the Baltimore Business organisation Journal. "I am only literally in a state of shock."

Gateway'due south try to manage customer variability failed for different reasons. Since its inception, the personal-computer maker had sold its products solely through direct channels. But faced with eroding market share, management decided to address the adequacy variability common in high-tech markets. It knew that it would exist able to sell more PCs if information technology provided more paw-holding to consumers who lacked technical knowledge and confidence. This meant inbound the retail marketplace—and more, it meant creating infrequent retail environments that enabled deep customer learning. When Gateway'due south new stores opened in 1996, they were undeniably impressive. Employees were experienced, helpful, and abundant (the employee-to-customer ratio was unusually high). Excellent educational materials were on manus, and the stores were conveniently located to ensure heavy pes traffic. Gateway succeeded spectacularly at bringing customers with all levels of expertise through the doors.

Fast-forrard to April 2004, when the company was shuttering the terminal of more 300 storefronts. How could this have happened? It wasn't that the strategy was ludicrous. The company had accurately diagnosed a problematic form of customer variability, and it had devised a way to manage its impact. Unfortunately, that style was expensive, and Gateway hadn't guaranteed that the people receiving the benefits of all that prepurchase adaptation would besides bear the costs. Far besides ofttimes, customers took their newly acquired understanding of what they needed and how it worked and and then placed an order with one of Gateway's low-cost competitors.

Managing the Operational Behavior of Customers

Information technology's clear from the examples above that the effective management of variability in service operations oft requires a company to influence customers' beliefs. That tin be a hard goal to reach, given that a company's operational concerns are non usually foremost in its customers' minds. Managers attempting this kind of intervention should programme their actions carefully in a three-step process.

Diagnose the problem.

The operational problems caused by customers' discretionary behavior can range from the seemingly minor—some customers are late to their appointments—to problems that can take a large touch on on profitability. As a first step, managers must understand the root causes of problematic customer behavior. Unless the behavioral trouble is accurately diagnosed, no subsequent action to correct information technology will be constructive.

The experience of retail banking concern First Union in the late 1990s makes this point dramatically. Because the bank misdiagnosed the type of customer variability it faced, it took deportment that were inappropriate to the situation. First Union had created many self-service options for customers—primarily through ATMs, voice response units, and Web pages—and hoped that the cost of the innovations would be more recouped by lower costs in branch operations. However, when customers continued to visit the branches to transact business in person with tellers, the investment in self-service technology failed to see expectations. Management concluded that the problem was, in essence, i of capability variability: Not all customers had learned what the technology could practice and how to use it. To address this problem, First Union stationed greeters at the doors of its branches to ask customers the nature of their business with the banking company that day. If the transaction could easily be accomplished through an ATM (every bit was usually the case), the greeter would recommend the self-service technology and offer guidance on how to utilize information technology. Within months of this management intervention, First Union had lost roughly 20% of its almost recently acquired accounts. Non long after, Starting time Wedlock merged with Wachovia and dropped its name.

The cause for the loss was not hard to trace: It came downward to a misunderstanding of why the self-service options had non defenseless on amongst all customers. The variability that was actually at consequence was not capability variability but attempt variability. Customers with time on their hands preferred to await in line to accept the teller do all the work.

Managers can avert that kind of misdiagnosis by conducting a thorough analysis guided by some straightforward questions:

  • What is problematic about customers' current behavior? What is the danger of leaving the behavior unchanged?
  • What are the hypotheses of the cause of the behavior? In determining the hypotheses, consider the role of the five types of client-introduced variability and state hypotheses for each every bit the cause.
  • Which hypotheses brand the about sense? Which are less plausible? Is management invested in a item outcome? What assumptions is the company making about what customers value?
  • How will these hypotheses be tested? Who volition be responsible for the data they produce? If the consequence has meaning implications for strategy or operations, who volition lead the change process?

Had First Union (or Tiffany, drawing on an earlier example) gone through this kind of do, the ineffectiveness of the solution would have been identified well before it was rolled out in a full-scale, live operating environment. Offset Matrimony hypothesized that customers' resistance to cocky-service technologies reflected a gap in their capabilities, so the depository financial institution jumped directly to grooming them (using greeters) without sufficiently testing the hypothesis. Acting on untested hypotheses is a common mistake when the logic of what is (presumably) skillful for customers is widely accepted. First Union reasoned that if customers simply knew how much better off they would be using ATMs, they would surely choose to serve themselves. Had the bank tested this assumption—by, say, asking customers why they used particular channels and what they thought of alternative channels—it would accept exposed the flaws in its thinking. Managers ofttimes confuse capability and effort variability because their symptoms can be identical.

At Tiffany, the company observed overcrowding, hypothesized that arrival variability was the issue, and designed a shop-level solution. Had the visitor been more thorough in exploring the problem—particularly in analyzing the differences in subjective preferences betwixt customer segments—it could accept learned well-nigh the potential incompatibility of the two segments and designed a company-level solution.

Design a mutually beneficial operating role for customers.

With the appropriate diagnosis, companies can design an operating part for customers that creates explicit value for both parties. As in step 1, a prepare of questions tin can guide the creation of this mutually beneficial office:

  • What do customers proceeds from their new role? Are they meliorate off than earlier? Are they still better off than they would be in the easily of competitors?
  • What does the company gain from customers' new role? What is the intended bear on of their new behavior on the company's functioning?
  • Is information technology realistic that customers will bear the way the company wants them to? What assumptions are managers making near human motivation?

The difficulty in creating value for customers oftentimes comes from untested assumptions about their behavior and perceptions, like the ones made past management at First Spousal relationship. Commonly in that location are many ways to create value for customers—simply one of them is not to brand customers feel they are worse off than they were before the change.

The difficulty in creating value for service companies is that revenue and toll are oftentimes not tightly linked in such businesses. This isn't the case in production-based businesses, where each transaction tin can exist evaluated according to the articulate associated revenue minus the cost of production. Service businesses oftentimes use a model more akin to buffet pricing: Customers, having paid a fee, can conduct as many transactions as they want. This makes it difficult to understand the value existence created at different points in the relationship and allows such mistakes as Gateway's foray into high-bear upon retailing. Indeed, the costless riding the company suffered is a major risk for any business in which customers need expensive prepurchase service and rivals offer easy substitutions.

Test and improve the solution.

Considering of the inherently complicated nature of client behavior, information technology is useful to test approaches to influencing behavior earlier rolling them out on a broad scale. However, while airplane pilot tests can reveal critical organisation flaws at a express cost, such tests are ofttimes executed incorrectly. The three most common mistakes are every bit follows:

  • Creating testing environments that are substantially different from the real environment. Sometimes pilots have identify in a ameliorate climate than customers will really experience. The about common differences in a testing environment are more experienced employees, artificially ample resources, and express exposure to variability.
  • Creating incentives—whether implicit or explicit—for the test to take a positive consequence. This oftentimes comes in the form of a promise that the test manager will be responsible for the full-calibration rollout if the test has a positive consequence (regardless of whether the visitor learned anything).
  • Designing a test that has no controls. If customers change their behavior following a exam, it is difficult to know whether the change should be attributed to the test or to other external factors if the test had no controls.

One way to overcome the final mistake is to use what Wells Fargo refers to as the "challenger-champion" model. For every new initiative, the company selects a sample to examination the new initiative (the challenger sample) and a similar, matched sample (the champion sample). After the initiative is tested on simply the challenger sample, the visitor tracks differences in beliefs between the two samples.

More generally, we have institute that pilot tests are effective when managers can affirmatively reply the post-obit questions:

  • Is the pilot plan being tested nether typical circumstances? Are the employees, customers, and resources consistent with the company's real operating environment?
  • Is the goal of the airplane pilot to learn as much every bit possible (rather than to demonstrate the value of the new organization)? Is this goal clear to both employees and managers?
  • Is it clear that managers' performance is not based on a positive outcome of the pilot?
  • Are customers and frontline employees involved in evaluating the circumstances of the test and in assessing results?
  • Can managers articulate the explicit changes made equally a result of the airplane pilot test? (If relatively few changes are made, that should be a red flag that the primary motivation of the test was proof-of-concept, not learning.)

Throwing a Customer in the Works

Profitably managing the variability implicit in customer heterogeneity, and developing constructive levers to influence information technology, is a cardinal challenge for service businesses. By extension, information technology is also a cardinal challenge for developed economies. In the typical mature economy, service providers comport more than than seventy% of commerce—yet the frameworks and tools for managing these businesses lag significantly behind those developed for manufacturing environments.

Understanding the workings of service businesses more than thoroughly begins with identifying the things that make them different from manufacturers. Master among these is the presence of the customer in operations. Customers perform roles that are either well or poorly designed for them and engage in behaviors that either do good or harm the company. They make information technology most impossible to manage production in isolation from consumption. Companies that learn to manage the variability customers bring to the works will find that customers are the key to competitive advantage.

Netflix is an example of a company that capitalized on incumbents' mishandling of client variability. When customers rent DVDs, late returns are a major source of tension for both rental companies and customers. Companies have charged late fees—which customers ofttimes perceive to exist draconian—in society to encourage people to return movies on fourth dimension. Just late fees have non only failed to change customers' beliefs but too have been a meaning source of client dissatisfaction. Enter Netflix and its subscription model, which makes late fees obsolete by assuasive people to keep movies for as long as they want. The customer's incentive to render a picture is being able to get the next movie on her request list.

Netflix saw an opportunity in the tension over belatedly fees. The visitor knew from its enquiry what its competitors didn't: Some customers value having control over how long they keep movies, simply not at the high cost (and feet) of belatedly fees. This left room for a middle ground, a premium subscription service that guarantees revenues while accommodating variability in usage fourth dimension. While incumbents were trying to potent-arm their customers into "behaving," Netflix built a winning concern model based on a deeper understanding of the true drivers of client beliefs.

A version of this article appeared in the November 2006 effect of Harvard Business concern Review.