воскресенье, 8 марта 2015 г.

7 Habits of Remarkably Successful Startup Entrepreneurs



All successful entrepreneurs may be different from one another-
-but not in certain key ways.
On the surface, successful entrepreneurs seem to be the same as everyone else.
But look closely and you'll see that in a few ways they are very, very different--and so is how they start and run their businesses.

1. They always prefer action to thinking.

A detailed plan is great, but stuff happens, and most entrepreneurs don't make it past the first three action items before adapting to reality. (I started a company assuming I'd provide book-design services to publishers; I ended up ghostwriting those books instead.)
Spend some time planning and a lot more time doing. If you're unsure, do something, and then react appropriately. It's easy to ponder and evaluate and analyze yourself out of business.

2. They see money as the root of all failure.

I know, a capital-intensive venture can require significant sums. But most businesses require little funding to get started. And often limited capital is a blessing in disguise; a venture capital friend strongly believes there's an inverse relationship between the level of funding and the long-term success of startups: Bootstrapping teaches lessons flush bank accounts cannot.
Short-term success is easy when you have money to burn. Without tons of cash, you'll work through and benefit from a problem instead of just throwing money at it.

3. They spend only on what touches the customer.

Leaving a corporate position for a startup with the assumption your amenities should be equal? Sorry.
Before you spend, always ask, "Does this touch the customer?" If it doesn't, don't buy it. If you're a lawyer, your office reinforces your professionalism; if you run a retail business, no customer should know your office even exists.
Spend what money you have where it makes a real difference to your customers. The more you give your customers what they want, the more you'll get what you want. (And ultimately everyone wins.)
Remember, success is never defined by a fancy office and amenities; success is defined solely by profits.

4. They never compromise on location.

Classic example: restaurants. Short on cash, the budding restaurateur (love that word) chooses an inexpensive (meaning terrible) location in the hope that great food and impeccable service will create destination dining. Typically, only creditors view the restaurant as a destination.
If you truly have no competition--which in reality is almost never the case--and there truly is a market, maybe customers will come to you. Otherwise, they won't.

5. They spend most of their time chasing what they can actually catch.

Almost every startup dreams of finding an enabling customer, but those are tough to land. Focus on prospecting where you have a reasonable chance of success.
Later, you can leverage your customer base--and what you've learned along the way--to successfully hunt bigger game.

6. They never see making a living as a right.

No matter how hard you work, no one has to buy what you sell. "Fair" applies to how you deal with customers, suppliers, vendors, etc. Fairness in no way applies to whether you deserve success or failure.
If you catch yourself thinking, "It's just not fair. I should be able to make a decent living at this," stop. You earn the right to make a profit.
No one is responsible for making sure you can earn a living--except you.

7. They don't do anything that doesn't generate revenue.

Everything you do should generate revenue. Stop creating esoteric spreadsheets. Quit printing fancy reports only you will review. Stop spending time on the golf course in hopes that networking will result in customers. Minimize administrative tasks, and focus your efforts on generating revenue.
Sure, you can do what you love and the money will follow, but only if what you love doing is generating revenue. If it doesn't pay, for now at least, put it away.

10 Terrible Excuses Made by Horrible Bosses




Does your boss have excuses -- or more likely "reasons" -- for not being a better leader?
See if you recognize any of these:
1. "I'm under tremendous pressure."
Of course you are. Join the leadership club. Every boss is stuck in between, with employees the "rock," and customers, vendors, investors, etc, the "hard place."
If demands seem overwhelming and pull you too far away from your team, get your employees more involved in your projects and responsibilities.
They'll be glad to help, especially if they gain skills and exposure in the process.
2. "I don't get paid enough to deal with this."
You're right. Great leaders are chronically under-compensated and under-appreciated, and that will probably never change.
But great employers see the satisfaction they gain from praising, developing, mentoring, and helping employees reach their goals as a part of their total compensation package.
If you don't see it that way, rethink whether you want to lead people; otherwise you'll always be unsatisfied.
3. "My employees work better when I leave them alone."
If that's true, it means you're the problem.
Great employees don't need (or want) to be told what to do, but they do need to hear they do a great job -- it will help them learn about new directions or strategies. Everyone likes some amount of attention.
Just make sure the attention you give makes a positive impact.
4. "This process was created by someone who doesn't have to implement it."
Often true. For example, many human resources specialists have never worked in a shop-floor leadership role, but that doesn't mean certain initiatives are not worthwhile.
You may not like creating development plans, but don't just go through the motions. Work hard to make sure your plans actually develop your employees. And if you don't like a policy or guideline, don't ignore it; work to make it better.
It's every boss's responsibility to make sure company policies protect and promote employee interests to the greatest extent possible.
5. "I can't deal with all the politics."
Company politics can be a factor even for a business owner (theoretically) in total command of the operation.
Tough. If the culture is bad, fix it. If politics keep people from doing their jobs or performing as well as they could, fix those issues.
Your job is taking care of any problems that make it hard for your employees to do their best.
So do your job.
6. "If she gets too much credit, I'll look bad."
Don't be afraid your employees might outshine you. Your goal is to have employees outshine you.
Great leaders surround themselves with outstanding talent. That's how they become great leaders.
The better your team, and the individuals that make up your team, the better you look.
7. "I shouldn't need to praise people for doing their jobs."
Yes, you should. Praising employees is the courteous thing to do and, from a performance point of view, praise reinforces positive behaviors and makes it much more likely those behaviors will occur in the future.
By all means, expect your employees to do their jobs, but praise them when they do -- because that's your job.
8. "Well, that's how I was trained."
Do you train employees by tossing them into the fire simply because that's how you were once treated? Whenever you feel something was "good enough for me," realize that it isn't good enough for your employees.
Determine the best way to train and develop employees and then make it happen. Any bad experiences you had should shape a more positive approach, not serve as a blueprint.
9. "I need to spend some time with employees … so hey, I'll go talk to Mike."
You need to get to know employees on a personal level, but do you typically gravitate toward the employees with whom you share common interests?
Every employee deserves your attention and respect. Take an interest. Ask questions. Find a common interest -- even if that common interest is simply trying to help them reach their own career and personal goals.
When you make a sincere effort, they'll make it easy for you. People naturally appreciate people who are interested in them.
10. "Why waste my time? I know he doesn't like me."
Few things are more awkward than working with, or even just talking to, employees who you feel don't like you.
Reach out and clear the air. Say, "Mike, I don't feel our working relationship is as positive as it could be … and I'm sure that's my fault. I really want to make it better."
Then let Mike vent. Sure, you may not like hearing what he says, but once you do, you'll know how to make the situation better.
Now it's your turn: what excuses have your bosses made for doing a terrible job?

The Three Dimensions Of Content Marketing Strategy For Startups



If I were asked to create a content marketing strategy for a person or a business from scratch, I would craft a strategy with three dimensions: customer segments, customer lifecycle stage and content type.
**Customer Segments: **Product managers/marketers are responsible for identifying the most important customer segments a startup will pursue. Picking the right customer segments increases profitabilitymaximizes market size andprioritize the most attractive customer for the business.
Very few businesses target only one type of customer. Market places cater to buyers and sellers. SaaS companies may pursue small, medium and enterprise customers, many times across industry categories. Even pure consumer businesses like social networks can divide their user bases into celebrities, influencers, and the common user, for example.
Content marketing efforts must reflect the core strategy of the business and prioritize the most important few segments. The content a startup produces must resonate with these target segments. It’s not to say each blog post or tweet must strike a chord with every segment each time, but that there ought to be some content for targeting each segment specifically.
Customer Lifecycle: Before buying a product, a customer progresses through a journey. They educate themselves about a space to understand whether they have a need. They understand the key attributes of products in the sector. Next, they make a buying decision. Then, they may try to maximize the value of the product. Last, the customer may be unsatisfied and possibly churn.
Ideally, each of these stages of the lifecycle, for each of the key customer segments mentioned above, should be handled by content marketing in some form. Zuora’s three doors concept is a good example of this value proposition delivered in a website.
Content Types: Great content marketing strategy should leverage all of the available tools to maximize success. First, teams should vary content types. For example, in a blog writers should vary interviews, lists, how-tos, personal interest stories. Each format provides a unique view into a space and a company’s position within it.
Content marketing doesn’t stop at blogging and social media. Events are powerful tools for content marketing which blend a company’s voice with influencers’ voices and customer points of view. This social proof is a powerful force for sales. Look at most SaaS websites today’s including Looker’s, and you’ll see the value proposition is quite often articulated by the company’s customers.
Content in customer support canned responses, in product messaging, company communities and help pages are often forgotten places for content marketing efforts to shine and potentially retain customers at risk of churning.
Mailchimp does this well. When a Mailchimp customer’s email list grows, the Mailchimp team automatically sends an email congratulating the company on its success. Note the company never mentions the increase in cost to the customer, instead focusing on the customer’s success. It’s ingenious.
The most sophisticated content marketing strategies consider these three factors and the teams develop a content marketing calendar that creates a steady drumbeat of relevant material for each segment, at each of the key stages in the lifecycle, while varying the delivery mechanism.
These three dimensions (segments, lifecycle, content type) can create quite a bit of complexity very quickly. Most startups tend to focus on one segment across a lifecycle for a few content types. As the content marketing team grows, so does the complexity. But this framework provides one roadmap for how to start from a simple content marketing program and evolve into a complex but well orchestrated strategy.

Reid Hoffman’s Two Rules for Strategy Decisions

MAR15_05_450512670

MARCH 5, 2015
Reid Hoffman — the co-founder and chairman of LinkedIn and partner at the venture capital firm Greylock — is a preeminent Silicon Valley strategist. I recently ended mytour of duty as Reid’s chief of staff and wrote a long essay about that experience —10,000 Hours with Reid Hoffman: Lessons Learned on Business and Life.” These are the two major strategic decision-making lessons that I learned from working so closely with him.
Reid’s first principle is speed. One of his most popular quotes is, “If you aren’t embarrassed by the first version of your product, you shipped too late.” Another is, “In founding a startup, you throw yourself off a cliff and build an airplane on the way down.” Practically, Reid employs several decision making hacks to prioritize speed as a factor for which option is best — and to speed up the process of making the decision itself.
When faced with a set of options, Reid frequently will make a provisional decision instinctually based on the current information. Then he will note what additional information he would need to disprove his provisional decision and go get that. What many do instead — at their own peril — is encounter a situation in which they have limited information, punt on the decision until they gather more information, and endure an information-gathering process that takes longer than expected. Meanwhile, the world changes.
If you move quickly, there will be mistakes borne of haste. If you’re a manager and care seriously about speed, you’ll need to tell your people you’re willing to accept the tradeoffs. Reid did this with me. We agreed I was going to make judgment calls on a range of issues on his behalf without checking with him. He told me, “In order to move fast, I expect you’ll make some foot faults. I’m okay with an error rate of 10-20% — times when I would have made a different decision in a given situation — if it means you can move fast.” I felt empowered to make decisions with this ratio in mind — and it was incredibly liberating.
Speed certainly matters to an extreme degree in a start-up context. Big companies are different. Reid once told me that the key for big companies like LinkedIn is not to pursue strategies where being fastest is critical — big companies that adopt strategies that depend on pure speed battles will always lose. Instead, they need to devise strategies where their slowness can become a strength.
Reid’s second principle is simplicity — simplicity enables speed.
Making the complex simple does not mean ignoring complexity. Reid is a nuanced thinker who does not shy away from detail, second order effects, exception cases, and so on. But especially in a group decision-making process where there are various points of view, it’s important for the leader to distill and frame the option set with simplicity. Wrestle with complexity, yes, but frame and commit to a decision that’s simple enough for everyone to understand and act on.
In situations with many paths, Reid frequently groups the possible options into “light, medium, heavy” or “easy, medium, hard.” For example, we debated different ways to publish and promote the LinkedIn Series B pitch deck we created. We could simply click publish, share it on LinkedIn and Twitter, and see how it spreads. We could reach out to journalists in advance and give someone an exclusive, early look. We could write a series of supplementary essays that appear simultaneous with the deck. We could audio record his oral commentary on each slide. Reid bucketed the options into three categories: basic, intermediate, and advanced. “How intensively do we want to go after this?” We decided on a level of intensity and executed on the relevant set of actions.
When there’s a complex list of pros and cons driving a potentially expensive action, seek a single decisive reason to go for it — not a blended reason. For example, we were once discussing whether it’d make sense for him to travel to China. There was the LinkedIn expansion activity in China; some fun intellectual events happening; the Chinese edition of The Start-Up of You was launching. Together, these constituted a variety of possible good reasons to go, but none justified a trip in and of itself. Reid said, “There needs to be one decisive reason. And then the worthiness of the trip needs to be measured against that one reason. If I go, then we can backfill into the schedule all the other secondary activities. But if I go for a blended reason, I’ll almost surely come back and feel like it was a waste a time.” He did not go on the trip.
If you come up with a list of many reasons to do something, Nassim Taleb once wrote, you are trying to convince yourself — if there isn’t one clear reason, don’t do it.
Reid is not someone who can recite Clay Christensen or Michael Porter verbatim. In fact, Reid has never formally studied strategy and he rarely references the famous gurus. Instead, his views on strategic decision-making are hard won through experience and specific to entrepreneurial contexts: situations where the overall battlefield is foggy, the ground underneath you is shifting, and death is assured if your next step is not the right one. And yes — this increasingly describes the battlefieldall organizations are fighting in, not just start-ups.
Strategy is one of the most written-about topics in business, but much of it is interesting when you’re reading it but rarely remembered or acted upon. The heralded “strategy frameworks” are either too complicated or too context-dependent or too abstract. What I love about Reid’s principles is they are short and pithy — thus, memorable — and yet they are nonetheless ideas with teeth: they really can distinctively shape the pattern of one’s decision making.

The Discipline of Innovation



FROM THE AUGUST 2002 ISSUE
How much of innovation is inspiration, and how much is hard work? If it’s mainly the former, then management’s role is limited: Hire the right people, and get out of their way. If it’s largely the latter, management must play a more vigorous role: Establish the right roles and processes, set clear goals and relevant measures, and review progress at every step. Peter Drucker, with the masterly subtlety that is his trademark, comes down somewhere in the middle. Yes, he writes in this article, innovation is real work, and it can and should be managed like any other corporate function. But that doesn’t mean it’s the same as other business activities. Indeed, innovation is the work of knowing rather than doing.
Drucker argues that most innovative business ideas come from methodically analyzing seven areas of opportunity, some of which lie within particular companies or industries and some of which lie in broader social or demographic trends. Astute managers will ensure that their organizations maintain a clear focus on all seven. But analysis will take you only so far. Once you’ve identified an attractive opportunity, you still need a leap of imagination to arrive at the right response—call it “functional inspiration.”
Despite much discussion these days of the “entrepreneurial personality,” few of the entrepreneurs with whom I have worked during the past 30 years had such personalities. But I have known many people—salespeople, surgeons, journalists, scholars, even musicians—who did have them without being the least bit entrepreneurial. What all the successful entrepreneurs I have met have in common is not a certain kind of personality but a commitment to the systematic practice of innovation.
Innovation is the specific function of entrepreneurship, whether in an existing business, a public service institution, or a new venture started by a lone individual in the family kitchen. It is the means by which the entrepreneur either creates new wealth-producing resources or endows existing resources with enhanced potential for creating wealth.
Today, much confusion exists about the proper definition of entrepreneurship. Some observers use the term to refer to all small businesses; others, to all new businesses. In practice, however, a great many well-established businesses engage in highly successful entrepreneurship. The term, then, refers not to an enterprise’s size or age but to a certain kind of activity. At the heart of that activity is innovation: the effort to create purposeful, focused change in an enterprise’s economic or social potential.

Sources of Innovation

There are, of course, innovations that spring from a flash of genius. Most innovations, however, especially the successful ones, result from a conscious, purposeful search for innovation opportunities, which are found only in a few situations. Four such areas of opportunity exist within a company or industry: unexpected occurrences, incongruities, process needs, and industry and market changes.
Three additional sources of opportunity exist outside a company in its social and intellectual environment: demographic changes, changes in perception, and new knowledge.
True, these sources overlap, different as they may be in the nature of their risk, difficulty, and complexity, and the potential for innovation may well lie in more than one area at a time. But together, they account for the great majority of all innovation opportunities.

1. Unexpected Occurrences

Consider, first, the easiest and simplest source of innovation opportunity: the unexpected. In the early 1930s, IBM developed the first modern accounting machine, which was designed for banks. But banks in 1933 did not buy new equipment. What saved the company—according to a story that Thomas Watson, Sr., the company’s founder and long-term CEO, often told—was its exploitation of an unexpected success: The New York Public Library wanted to buy a machine. Unlike the banks, libraries in those early New Deal days had money, and Watson sold more than a hundred of his otherwise unsalable machines to libraries.
Fifteen years later, when everyone believed that computers were designed for advanced scientific work, business unexpectedly showed an interest in a machine that could do payroll. Univac, which had the most advanced machine, spurned business applications. But IBM immediately realized it faced a possible unexpected success, redesigned what was basically Univac’s machine for such mundane applications as payroll, and within five years became a leader in the computer industry, a position it has maintained to this day.
The unexpected failure may be an equally important source of innovation opportunities. Everyone knows about the Ford Edsel as the biggest new-car failure in automotive history. What very few people seem to know, however, is that the Edsel’s failure was the foundation for much of the company’s later success. Ford planned the Edsel, the most carefully designed car to that point in American automotive history, to give the company a full product line with which to compete with General Motors. When it bombed, despite all the planning, market research, and design that had gone into it, Ford realized that something was happening in the automobile market that ran counter to the basic assumptions on which GM and everyone else had been designing and marketing cars. No longer was the market segmented primarily by income groups; the new principle of segmentation was what we now call “lifestyles.” Ford’s response was the Mustang, a car that gave the company a distinct personality and reestablished it as an industry leader.
Unexpected successes and failures are such productive sources of innovation opportunities because most businesses dismiss them, disregard them, and even resent them. The German scientist who around 1905 synthesized novocaine, the first nonaddictive narcotic, had intended it to be used in major surgical procedures like amputation. Surgeons, however, preferred total anesthesia for such procedures; they still do. Instead, novocaine found a ready appeal among dentists. Its inventor spent the remaining years of his life traveling from dental school to dental school making speeches that forbade dentists from “misusing” his noble invention in applications for which he had not intended it.
This is a caricature, to be sure, but it illustrates the attitude managers often take to the unexpected: “It should not have happened.” Corporate reporting systems further ingrain this reaction, for they draw attention away from unanticipated possibilities. The typical monthly or quarterly report has on its first page a list of problems—that is, the areas where results fall short of expectations. Such information is needed, of course, to help prevent deterioration of performance. But it also suppresses the recognition of new opportunities. The first acknowledgment of a possible opportunity usually applies to an area in which a company does better than budgeted. Thus genuinely entrepreneurial businesses have two “first pages”—a problem page and an opportunity page—and managers spend equal time on both.

2. Incongruities

Alcon Laboratories was one of the success stories of the 1960s because Bill Conner, the company’s cofounder, exploited an incongruity in medical technology. The cataract operation is the world’s third or fourth most common surgical procedure. During the past 300 years, doctors systematized it to the point that the only “old-fashioned” step left was the cutting of a ligament. Eye surgeons had learned to cut the ligament with complete success, but it was so different a procedure from the rest of the operation, and so incompatible with it, that they often dreaded it. It was incongruous.
Doctors had known for 50 years about an enzyme that could dissolve the ligament without cutting. All Conner did was to add a preservative to this enzyme that gave it a few months’ shelf life. Eye surgeons immediately accepted the new compound, and Alcon found itself with a worldwide monopoly. Fifteen years later, Nestlé bought the company for a fancy price.
Such an incongruity within the logic or rhythm of a process is only one possibility out of which innovation opportunities may arise. Another source is incongruity between economic realities. For instance, whenever an industry has a steadily growing market but falling profit margins—as, say, in the steel industries of developed countries between 1950 and 1970—an incongruity exists. The innovative response: minimills.
An incongruity between expectations and results can also open up possibilities for innovation. For 50 years after the turn of the century, shipbuilders and shipping companies worked hard both to make ships faster and to lower their fuel consumption. Even so, the more successful they were in boosting speed and trimming their fuel needs, the worse the economics of ocean freighters became. By 1950 or so, the ocean freighter was dying, if not already dead.
All that was wrong, however, was an incongruity between the industry’s assumptions and its realities. The real costs did not come from doing work (that is, being at sea) but from not doing work (that is, sitting idle in port). Once managers understood where costs truly lay, the innovations were obvious: the roll-on and roll-off ship and the container ship. These solutions, which involved old technology, simply applied to the ocean freighter what railroads and truckers had been using for 30 years. A shift in viewpoint, not in technology, totally changed the economics of ocean shipping and turned it into one of the major growth industries of the last 20 to 30 years.

3. Process Needs

Anyone who has ever driven in Japan knows that the country has no modern highway system. Its roads still follow the paths laid down for—or by—oxcarts in the tenth century. What makes the system work for automobiles and trucks is an adaptation of the reflector used on American highways since the early 1930s. The reflector lets each car see which other cars are approaching from any one of a half-dozen directions. This minor invention, which enables traffic to move smoothly and with a minimum of accidents, exploited a process need.
What we now call the media had its origin in two innovations developed around 1890 in response to process needs. One was Ottmar Mergenthaler’s Linotype, which made it possible to produce newspapers quickly and in large volume. The other was a social innovation, modern advertising, invented by the first true newspaper publishers, Adolph Ochs of the New York Times, Joseph Pulitzer of the New York World, and William Randolph Hearst. Advertising made it possible for them to distribute news practically free of charge, with the profit coming from marketing.

4. Industry and Market Changes

Managers may believe that industry structures are ordained by the good Lord, but these structures can—and often do—change overnight. Such change creates tremendous opportunity for innovation.
One of American business’s great success stories in recent decades is the brokerage firm of Donaldson, Lufkin & Jenrette, recently acquired by the Equitable Life Assurance Society. DL&J was founded in 1960 by three young men, all graduates of the Harvard Business School, who realized that the structure of the financial industry was changing as institutional investors became dominant. These young men had practically no capital and no connections. Still, within a few years, their firm had become a leader in the move to negotiated commissions and one of Wall Street’s stellar performers. It was the first to be incorporated and go public.
In a similar fashion, changes in industry structure have created massive innovation opportunities for American health care providers. During the past ten or 15 years, independent surgical and psychiatric clinics, emergency centers, and HMOs have opened throughout the country. Comparable opportunities in telecommunications followed industry upheavals—in transmission (with the emergence of MCI and Sprint in long-distance service) and in equipment (with the emergence of such companies as Rolm in the manufacturing of private branch exchanges).
When an industry grows quickly—the critical figure seems to be in the neighborhood of 40% growth in ten years or less—its structure changes. Established companies, concentrating on defending what they already have, tend not to counterattack when a newcomer challenges them. Indeed, when market or industry structures change, traditional industry leaders again and again neglect the fastest growing market segments. New opportunities rarely fit the way the industry has always approached the market, defined it, or organized to serve it. Innovators therefore have a good chance of being left alone for a long time.

5. Demographic Changes

Of the outside sources of innovation opportunities, demographics are the most reliable. Demographic events have known lead times; for instance, every person who will be in the American labor force by the year 2000 has already been born. Yet because policy makers often neglect demographics, those who watch them and exploit them can reap great rewards.
The Japanese are ahead in robotics because they paid attention to demographics. Everyone in the developed countries around 1970 or so knew that there was both a baby bust and an education explosion going on; about half or more of the young people were staying in school beyond high school. Consequently, the number of people available for traditional blue-collar work in manufacturing was bound to decrease and become inadequate by 1990. Everyone knew this, but only the Japanese acted on it, and they now have a ten-year lead in robotics.
Much the same is true of Club Mediterranee’s success in the travel and resort business. By 1970, thoughtful observers could have seen the emergence of large numbers of affluent and educated young adults in Europe and the United States. Not comfortable with the kind of vacations their working-class parents had enjoyed—the summer weeks at Brighton or Atlantic City—these young people were ideal customers for a new and exotic version of the “hangout” of their teen years.
Managers have known for a long time that demographics matter, but they have always believed that population statistics change slowly. In this century, however, they don’t. Indeed, the innovation opportunities made possible by changes in the numbers of people—and in their age distribution, education, occupations, and geographic location—are among the most rewarding and least risky of entrepreneurial pursuits.

6. Changes in Perception

“The glass is half full” and “The glass is half empty” are descriptions of the same phenomenon but have vastly different meanings. Changing a manager’s perception of a glass from half full to half empty opens up big innovation opportunities.
All factual evidence indicates, for instance, that in the last 20 years, Americans’ health has improved with unprecedented speed—whether measured by mortality rates for the newborn, survival rates for the very old, the incidence of cancers (other than lung cancer), cancer cure rates, or other factors. Even so, collective hypochondria grips the nation. Never before has there been so much concern with or fear about health. Suddenly, everything seems to cause cancer or degenerative heart disease or premature loss of memory. The glass is clearly half empty.
Rather than rejoicing in great improvements in health, Americans seem to be emphasizing how far away they still are from immortality. This view of things has created many opportunities for innovations: markets for new health care magazines, for exercise classes and jogging equipment, and for all kinds of health foods. The fastest growing new U.S. business in 1983 was a company that makes indoor exercise equipment.
A change in perception does not alter facts. It changes their meaning, though—and very quickly. It took less than two years for the computer to change from being perceived as a threat and as something only big businesses would use to something one buys for doing income tax. Economics do not necessarily dictate such a change; in fact, they may be irrelevant. What determines whether people see a glass as half full or half empty is mood rather than fact, and a change in mood often defies quantification. But it is not exotic. It is concrete. It can be defined. It can be tested. And it can be exploited for innovation opportunity.

7. New Knowledge

Among history-making innovations, those that are based on new knowledge—whether scientific, technical, or social—rank high. They are the super-stars of entrepreneurship; they get the publicity and the money. They are what people usually mean when they talk of innovation, although not all innovations based on knowledge are important.
Knowledge-based innovations differ from all others in the time they take, in their casualty rates, and in their predictability, as well as in the challenges they pose to entrepreneurs. Like most superstars, they can be temperamental, capricious, and hard to direct. They have, for instance, the longest lead time of all innovations. There is a protracted span between the emergence of new knowledge and its distillation into usable technology. Then there is another long period before this new technology appears in the marketplace in products, processes, o r services. Overall, the lead time involved is something like 50 years, a figure that has not shortened appreciably throughout history.
Knowledge-based innovations can be temperamental, capricious, and hard to direct.
To become effective, innovation of this sort usually demands not one kind of knowledge but many. Consider one of the most potent knowledge-based innovations: modern banking. The theory of the entrepreneurial bank—that is, of the purposeful use of capital to generate economic development—was formulated by the Comte de Saint-Simon during the era of Napoleon. Despite Saint-Simon’s extraordinary prominence, it was not until 30 years after his death in 1825 that two of his disciples, t he brothers Jacob and Isaac Pereire, established the first entrepreneurial bank, the Credit Mobilier, and ushered in what we now call finance capitalism.
The Pereires, however, did not know modern commercial banking, which developed at about the same time across the channel in England. The Credit Mobilier failed ignominiously. A few years later, two young men—one an American, J.P. Morgan, and one a German, Georg Siemens—put together the French theory of entrepreneurial banking and the English theory of commercial banking to create the first successful modern banks: J.P. Morgan & Company in New York, and the Deutsche Bank in Berlin. Ten years later, a young Japanese, Shibusawa Eiichi, adapted Siemens’s concept to his country and thereby laid the foundation of Japan’s modern economy. This is how knowledge-based innovation always works.
The computer, to cite another example, required no fewer than six separate strands of knowledge:
  • binary arithmetic;
  • Charles Babbage’s conception of a calculating machine, in the first half of the nineteenth century;
  • the punch card, invented by Herman Hollerith for the U.S. census of 1890;
  • the audion tube, an electronic switch invented in 1906;
  • symbolic logic, which was developed between 1910 and 1913 by Bertrand Russell and Alfred North Whitehead;
  • and concepts of programming and feedback that came out of abortive attempts during World War I to develop effective antiaircraft guns.
Although all the necessary knowledge was available by 1918, the first operational digital computer did not appear until 1946.
Long lead times and the need for convergence among different kinds of knowledge explain the peculiar rhythm of knowledge-based innovation, its attractions, and its dangers. During a long gestation period, there is a lot of talk and little action. Then, when all the elements suddenly converge, there is tremendous excitement and activity and an enormous amount of speculation. Between 1880 and 1890, for example, almost 1,000 electric-apparatus companies were founded in developed countries. Then, as always, there was a crash and a shakeout. By 1914, only 25 were still alive. In the early 1920s, 300 to 500 automobile companies existed in the United States; by 1960, only four of them remained.
It may be difficult, but knowledge-based innovation can be managed. Success requires careful analysis of the various kinds of knowledge needed to make an innovation possible. Both J.P. Morgan and Georg Siemens did this when they established their banking ventures. The Wright brothers did this when they developed the first operational airplane.
Careful analysis of the needs—and, above all, the capabilities—of the intended user is also essential. It may seem paradoxical, but knowledge-based innovation is more market dependent than any other kind of innovation. De Havilland, a British company, designed and built the first passenger jet, but it did not analyze what the market needed and therefore did not identify two key factors. One was configuration—that is, the right size with the right payload for the routes on which a jet would give an airline the greatest advantage. The other was equally mundane: How could the airlines finance the purchase of such an expensive plane? Because de Havilland failed to do an adequate user analysis, two American companies, Boeing and Douglas, took over the commercial jet-aircraft industry.

Principles of Innovation

Purposeful, systematic innovation begins with the analysis of the sources of new opportunities. Depending on the context, sources will have different importance at different times. Demographics, for instance, may be of little concern to innovators of fundamental industrial processes like steelmaking, although the Linotype machine became successful primarily because there were not enough skilled typesetters available to satisfy a mass market. By the same token, new knowledge may be of little relevance to someone innovating a social instrument to satisfy a need that changing demographics or tax laws have created. But whatever the situation, innovators must analyze all opportunity sources.
Because innovation is both conceptual and perceptual, would-be innovators must also go out and look, ask, and listen. Successful innovators use both the right and left sides of their brains. They work out analytically what the innovation has to be to satisfy an opportunity. Then they go out and look at potential users to study their expectations, their values, and their needs.
To be effective, an innovation has to be simple, and it has to be focused. It should do only one thing; otherwise it confuses people. Indeed, the greatest praise an innovation can receive is for people to say, “This is obvious! Why didn’t I think of it? It’s so simple!” Even the innovation that creates new users and new markets should be directed toward a specific, clear, and carefully designed application.
Effective innovations start small. They are not grandiose. It may be to enable a moving vehicle to draw electric power while it runs along rails, the innovation that made possible the electric streetcar. Or it may be the elementary idea of putting the same number of matches into a matchbox (it used to be 50). This simple notion made possible the automatic filling of matchboxes and gave the Swedes a world monopoly on matches for half a century. By contrast, grandiose ideas for things that will “revolutionize an industry” are unlikely to work.
In fact, no one can foretell whether a given innovation will end up a big business or a modest achievement. But even if the results are modest, the successful innovation aims from the beginning to become the standard setter, to determine the direction of a new technology or a new industry, to create the business that is—and remains—ahead of the pack. If an innovation does not aim at leadership from the beginning, it is unlikely to be innovative enough.
Above all, innovation is work rather than genius. It requires knowledge. It often requires ingenuity. And it requires focus. There are clearly people who are more talented innovators than others, but their talents lie in well-defined areas. Indeed, innovators rarely work in more than one area. For all his systematic innovative accomplishments, Thomas Edison worked only in the electrical field. An innovator in financial areas, Citibank for example, is not likely to embark on innovations in health care.
Innovation requires knowledge, ingenuity, and, above all else, focus.
In innovation, as in any other endeavor, there is talent, there is ingenuity, and there is knowledge. But when all is said and done, what innovation requires is hard, focused, purposeful work. If diligence, persistence, and commitment are lacking, talent, ingenuity, and knowledge are of no avail.
There is, of course, far more to entrepreneurship than systematic innovation—distinct entrepreneurial strategies, for example, and the principles of entrepreneurial management, which are needed equally in the established enterprise, the public service organization, and the new venture. But the very foundation of entrepreneurship is the practice of systematic innovation.

The 4 Types Of Customer Success Organizations



Each quarter, Zendesk releases a Customer Satisfaction Benchmark to help companies build more effective customer support teams. The Q4 2014 differs from the previous in an important way. Instead of comparing companies in the same industry, for example, Education, Zendesk clustered companies with similar customer support characteristics, including ticket volumes, product support complexity and a few others, which revealed some important conclusions.
Zendesk found four clusters of support organizations listed below in increasing order of sophistication:
Late Bloomers - companies of all shapes and sizes whose customer support efforts need improvement.
Relationship Builders - small teams which respond slowly, but with personalized and detailed feedback. Relationship builders sustain high customer satisfaction scores because of the personalization.
Masters of Complexity - large teams receiving detailed requests with lots of back and forth between the customer and the team. These companies maintain higher customer satisfaction by maintaining a higher ratio of customer service reps to tickets, so each person can take their time and answer a question fully.
Captains of Scale - large teams facing high support volumes who use every tool at their disposal and do it well, so they maintain high customer satisfaction scores despite the deluge.
The main differentiating factors across these clusters are email volumes, inquiry complexity and response time. The best teams, the Captains of Scale, employ four tools to manage the support volumes and maintain high levels of customer satisfaction:
  1. Help Center - enables users to help themselves, which decreases support volumes and increases customer satisfaction because users answer their question immediately.
  2. Business Rule Automation - filters support email based on customer value, type of question or some other heuristic. Specialists respond to these questions faster, increasing customer satisfaction. This is particularly useful with very large support voluems.
  3. Ticket to Agent Ratio - more agents responding means faster response times, less churn, happier customers. Of course, a startup must balance this ratio with the increased costs.
  4. 24x7 Support - very few companies provide 24x7 support because it can be very expensive. But 24x7 support reduces wait times, because agents are constantly responding.
Zendesk’s reports are great tools better understand the relative performance of your startup’s support operations. Using the right tools and techniques, you can maximize your customer happiness and increase the likelihood customers refer other customers, helping your startup grow faster and more efficiently.