Office of Naval Research (ONR) Goes Lean

The Office of Naval Research (ONR) has been one of the largest supporters of innovation in the U.S. Now they are starting to use the Lean Innovation process (see here and here) to turn ideas into solutions. The result will be defense innovation with speed and urgency.

—-

Here’s how the Office of Naval Research (ONR) was started. In World War II the U.S. set up the Office of Scientific Research and Development (OSRD) to use thousands of civilian scientists in universities to build advanced technology weapons (radar, rockets, sonar, electronic warfare, nuclear weapons.) After the war, the U.S. Navy adopted the OSRD model and set up the Office of Naval Research – ONR. Since 1946 ONR has funded basic and applied science, as well as advanced technology development, in universities across the U.S. (Stanford’s first grants for their microwave and electronic lab came from ONR in 1946.)

Rich Carlin heads up ONR’s Sea Warfare and Weapons Department. He’s responsible for science and programs for surface ships, submarines, and undersea weapons with an annual budget of over $300 million per year.

Rich realized that while the Department of Defense DoD spends a lot of money and has lots of requirements and acquisition processes, they don’t work well with a rapid innovation ecosystem. He wanted to build an innovation pipeline that would allow the Navy to:

  • Create “dual-use” products (build solutions that could be used for the military but also sold commercially, and attract venture capital investments.) “Dual-use” products reduce the cost for defense adoption of products.
  • Test if the Lean Innovation process actually accelerates technology adoption and an innovation ecosystem.
  • Use best practices in contracting that accelerate awards and provide flexibility and speed in technology maturation and adoption.

Today ONR has taken the Lean Innovation process, adapted it for their agency, and is running pilots for defense innovation teams.

Lean Innovation is a Process
The Lean Innovation process is a self-regulating, evidence-based innovation pipeline. It is a process that operates with speed and urgency. Innovators and stakeholders curate and prioritize their own problems/Challenges/ideas/technology.

The process recognizes that Innovation isn’t a single activity (an incubator, a class, etc.). It is a process from start to deployment.

The ONR pipeline has all the steps of the canonical innovation pipeline:

Innovation sourcing: a list of problems/challenges, ideas, and technologies that might be worth investing in.

Problem/Challenge Curation: innovators get out of their own offices and talk to colleagues and customers with the goal of finding other places in the DoD where a problem or challenge might exist in a slightly different form, identifying related internal projects already in existence, and finding commercially available solutions to problems. They also seek to identify legal issues, security issues, and support issues.

This process also helps identify who the customers for possible solutions would be, who the internal stakeholders would be, and even what initial minimum viable products (MVPs) might look like.

This phase also includes building initial MVPs. Some ideas drop out when the team recognizes that they may be technically, financially, or legally unfeasible or they may discover that other groups have already built a similar product.

Prioritization: Once a list of innovation ideas has been refined by curation, it needs to be prioritized using the McKinsey Three Horizons Model. Horizon 1 ideas provide continuous innovation to a company’s existing business model and core capabilities. Horizon 2 ideas extend a company’s existing business model and core capabilities to new customers, markets or targets. Horizon 3 is the creation of new capabilities to take advantage of or respond to disruptive opportunities or disruption. We added a new category, Horizon 0, which refers to graveyard ideas that are not viable or feasible.

Once projects have been classified, the team prioritizes them, starting by asking: is this project worth pursing for another few months full time? This prioritization is not done by a committee of executives but by the innovation teams themselves.

Solution exploration and hypotheses testing: The ideas that pass through the prioritization filter enter an incubation process like Hacking for Defense/I-Corps, the system adopted by all U.S. government federal research agencies to turn ideas into products.

This six- to ten-week process delivers evidence for defensible, data-based decisions. For each idea, the innovation team fills out a mission model canvas. Everything on that canvas is a hypothesis. This not only includes the obvious -is there solution/mission fit? — but the other “gotchas” that innovators always seem to forget. The framework has the team talking not just to potential customers but also with regulators, and people responsible for legal, contracting, policy, and finance support.  It also requires that they think through compatibility, scalability and deployment long before this gets presented to engineering. There is now another major milestone for the team: to show compelling evidence that this project deserves to be a new mainstream capability. Alternatively, the team might decide that it should be spun into its own organization or that it should be killed.

Incubation: Once hypothesis testing is complete, many projects will still need a period of incubation as the teams championing the projects gather additional data about the application, further build the MVP, and get used to working together. Incubation requires dedicated leadership oversight from the horizon 1 organization to insure the fledgling project does not die of malnutrition (a lack of access to resources) or become an orphan (no parent to guide them).

Lean Innovation Inside the Office of Naval Research (ONR)
To come up with their version of the innovation pipeline ONR mapped four unique elements.

First, ONR is using Hacking for Defense classes to curate “Problem Statements” (ONR calls them Challenge/Opportunity Statements) to find solution/mission fit and commercial success.

Second, they’re using existing defense funding to prove out these solutions depending on the level of technical maturity. (There are three existing sources for funding defense innovation: COTS/GOTS validation (testing whether off-the-shelf  products can be used); Concept Validation and Technology Advancement; and SBIR/STTR funds – there’s over >$1B per year in the DoD SBIR program alone.)

Third, they are going to use Pete Newell’s company, BMNT and other business accelerators to apply Lean Launchpad Methodologies to build the business case for resulting prototypes and products and to attract private investments.

Fourth, they are going to use grants, purchase orders and Other Transaction Agreements (OTAs) to attract startups and nontraditional defense contractors, speed the award process, and provide startups the flexibility to pivot their business model and prototype/product solution when necessary.

BMNT and Hacking for Defense serve as the essential crosslink for tying together the assets already available in DoD to implement the Lean Innovation process for defense innovation.

Lessons Learned

  • The Office of Naval Research has been funding innovation in universities for 70+ years
  • They are piloting the Lean Innovation Process to move defense innovation forward with speed and urgency

Removing the Roadblocks to Corporate Innovation – When Theory Meets Practice

Innovation theory and innovation in practice are radically different. Here are some simple tools to get your company’s innovation pipeline through the obstacles it will encounter.

Pete Newell and I’ve been working with Karl, the Chief Innovation Officer of a large diversified multi-billion-dollar company I’ll call Spacely Industries. Over the last 15 months his staff got innovation teams operating with speed and urgency. The innovation pipeline had been rationalized. His groups whole-heartedly adopted and adapted Lean. His innovators and stakeholders curated and prioritized their problems/idea/technology before handing them off.

Karl’s innovation pipeline had hundreds of employees going through weekend hackathons. 14 different innovation teams were going through a 3-month I-Corps/Lean LaunchPad program to validate product/market fit. His organization had a corporate incubator for disruptive (horizon 3) experiments and provided innovation support for his company’s operating divisions for process and business model innovations (Horizon 1 and 2.)  Karl’s innovation process looked like this:

(Read our last post for the details.)

Given all this activity we were surprised that in our last call with Karl he started with “I think they’ve beaten me down.” He listed the internal obstacles his teams continued to face, “We’ve created innovation teams in both the business units and in corporate. Our CEO is behind the program. The division general managers have verbally given us their support. But we’re 15 months into the program and the teams still run into continual roadblocks and immovable obstacles in every part of the company. Finance, HR, Legal, Security, Policy, Branding, you name it, everyone in a division or corporate staff has an excuse for why we can’t do something, and everyone has the power to say no and no urgency to make a change.”

The reality is that Karl’s innovation pipeline looked like this:

And worse, every time Karl negotiated to remove a roadblock for one team, he was back negotiating 6 months later to remove the very same one for a different team.

Karl was frustrated, “How do we get all these organizations to help us move forward with innovation? My CEO has been reading all the Lean Innovation books and wants to fix this and is ready to bring in a big consulting firm to redo all our business processes.”

Uh oh.

Recognizing the Roadblocks
Most of the impediments the innovation teams faced were pretty tactical: for example, an HR policy that said the innovative groups could only recruit employees by seniority. Or a branding group that refused to allow any form of the Spacely name to appear on any minimal viable product or web site. Or legal, who said minimal viable products opened the company to lawsuits. Or sales, who shut out innovation groups from doing customer discovery with any existing, or even potential customer. Or finance, who insisted on measuring the success of new ventures on their first year’s revenue and gross margin. Or purchasing who insisting that the teams use their existing vendors that took weeks to deliver simple purchases that Amazon would deliver overnight.

Listening to this we realized that while the company had playbooks for execution, what was missing were specific processes for innovation. We agreed that the goal was not to change any of the existing execution processes, procedures, incentives, metrics but rather to work with all the organizations to write new ones for innovation projects.

And the specific innovation policies would grow one at a time as needed collaboratively from the bottom of the organization, not top down by some executive mandate or consulting firm.

Read this section again. The creation of the innovation policies incrementally by the innovation groups collaborating with the service organizations is a very big idea.

We pointed out to Karl, that if he was successful, innovation and execution policies, processes, procedures, incentives, metrics would then co-exist side-by-side. In their day-to-day activities, the support organizations would simply ask, “Are we supporting an execution process (hopefully 90% of the time) or are we supporting an innovation process?” and apply the appropriate policy.

We offered that a top-down revamp of every business process should be a last resort. We suggested that Karl consider trying a 6-month experimental “Get to Yes” program. (It was critical that his CEO is a supporter.)

Get to Yes
Step one was that Karl needed a single memo from his CEO to his direct reports. We suggested that Karl ask for something like this:


Step two was that Karl needed a memo that went out to all department heads. The one from Finance looked like this:

The “Get to Yes” Collaboration
Every time an innovation team needed a new policy, procedure, etc. from an existing organization (legal, finance, sales, HR, branding, etc.), they worked with their designated point of contact (Finance, HR, Legal, etc.) Working together the two groups used the single-page standard Spacely “Get to Yes” form. It asked what problem the team was trying to solve that required a policy change, how it wanted the new policy to read, the impact the new policy would have on other policies and organizations, and most importantly the risks to the core existing business.

The “Get to Yes” request form looked like this:

In practice, once the finance, legal, and other organizations had gotten top-down guidance that innovation needed solutions to move forward, in 70% of the instances the approvals could be worked out at the lowest part of both organizations.

For the times that the innovation team and point of contact couldn’t agree, the issue got escalated to the appeals board of the appropriate department (legal, hr, security, finance, etc.) They had one week to ask questions, gather information, meet with the innovation team and evaluate the costs and risks of the proposed process. They could either:

  1. approve and adopt
  2. suggest modifications that the team agreed with
  3. deny the request.

The escalation form looked like this:

Although it was just a one-page form, the entire concept was radical:

  • The innovation team would be proposing the new process, procedure, metric, etc. – not waiting for ones to be written.
  • There was a hard 1-week deadline for the execution team to respond.
  • Yes, was the default answer, a No required detailed explanation.

For the few issues that the innovation program thought needed the executive staff attention, one further appeal was possible to the Chief Innovation Officer.

The big idea is that Spacely was going to create innovation by design, not by exception, and they were going to do it by co-opting the existing execution machinery.

The key to making this work was: 1) a simple top-down request from the CEO to their direct reports and from their direct reports down their organization, 2) a collaborative solution seeking partnership between innovation and execution teams, 3) an appeals and escalation process that would be acted on within the next week. And it’s there that the execution department had to make its case of why this request should not be approved. (If there was still no agreement, it became an issue for the executive staff.)

The time for a process resolution in a billion-dollar corporation – two weeks. At Spacely innovation was starting to move at the speed of a startup.

(BTW, when we showed this process to a government agency their first response was, “Oh that will work in a company, but in a government agency we’re bound by laws and regulations that mandate specifically what we are allowed to do.”  So, we modified the Get to Yes program to ensure that a “No” had to specifically point to the law or regulation, not agency legend, then confirm there was no potential exception to the regulation or law that could be applied.)

Lessons Learned

  • Explicit top down support for innovation only takes a single-page memo
    • If you can’t get leadership support, internal innovation won’t happen
  • Innovation process and procedures developed by collaboration, not by exception
  • Execution organizations now manage both execution and innovation
  • Innovation policy, process and procedures get written as needed, one at a time
  • Over time a set of innovation processes are created from the bottom up
  • Bias for immediate action not perpetual delay

How companies strangle innovation – and how you can get it right

 

A shorter version of this post first appeared on the HBR blog

I just watched a very smart company try to manage innovation by hiring a global consulting firm to offload engineering from “distractions.” They accomplished their goal, but at a huge, unanticipated cost: the processes and committees they designed ended up strangling innovation.

There’s a much better way.


An existing company or government organization is primarily organized for day-to-day execution of its current business processes or mission. From the point of view of the executors, having too many innovation ideas gets in the way of execution.

The Tidal Wave of Unfiltered Ideas
Pete Newell and I were working with a company that was getting its butt kicked from near-peer competitors as well as from a wave of well-funded insurgent startups. This was a very large and established tech company; its engineering organization developed the core day-to-day capabilities of the organization. Engineering continually felt overwhelmed. They were trying to keep up with providing the core services necessary to run the current business and at the same time deal with a flood of well-meaning but uncoordinated ideas about new features, technologies and innovations coming at them from all directions. It didn’t help that “innovation” was the new hot-button buzzword from senior leadership, and incubators were sprouting in every division of their company, it just made their job more unmanageable.

One of the senior engineering directors I greatly admire (who at one time or another had managed their largest technology groups) described the problem in pretty graphic terms:

The volume of ideas creates a denial of service attack against capability developers, furthers technical debt, and further encumbers the dollars that should be applied towards better innovation.”

Essentially, the engineering organization was saying that innovation without a filter was as bad as no innovation at all. So, in response the company had hired a global consulting firm to help solve the problem. After a year of analysis and millions of dollars in consulting fees, the result was a set of formal processes and committees to help create a rational innovation pipeline. They would narrow down the proposed ideas and choose which ones to fund and staff.

Build the Wall
I took one look at the process they came up with and could have sworn that it was invented by the company’s competitors to throttle innovation.

The new innovation process had lots of paperwork – committees, application forms and presentations, and pitches. People with ideas, technology or problems pitched in front of the evaluation committee. It seemed to make sense to have have all the parties represented at the committee, so lots of people attended – program managers who controlled the budget, the developers responsible for maintaining and enhancing the current product and building new ones, and representatives from the operating divisions who needed and would use these products. Someone with an idea would fill out the paperwork justifying the need for this innovation, it would go to the needs committee, and then to an overall needs assessment board to see if the idea was worth assigning people and budget to. And oh, since the innovation wasn’t in this year’s budget, it would only get started in the next year.

Seriously.

As you can guess in the nine months this process has been in place the company has approved no new innovation initiatives. But new unbudgeted and unplanned threats kept emerging at a speed their organization couldn’t respond to.

At least it succeeded in not distracting the developers.

This was done by smart, well-intentioned adults thinking they were doing the right thing for their company and consultants who thought this was great innovation advice.

What went wrong here? Three common mistakes.

First, this company (and most others) viewed innovation as unconstrained activities with no discipline. In reality for innovation to contribute to a company or government agency, it needs to be designed a process from start to deployment.

Second, the company had not factored in that their technology advantage attrited every year, and new threats would appear faster than their current systems could handle. Ironically, by standing still, they were falling behind.

Third, this company had no formal innovation pipeline process before proposals went to the committee. Approvals tended to be based on who had the best demo and/or slides or lobbied the hardest. There was no burden on those who proposed a new idea or technology to talk to customers, build minimal viable products, test hypotheses or understand the barriers to deployment. The company had a series of uncoordinated tools and methodologies as activities, but nothing to generate evidence to refine the ideas, technology or problems as an integrated innovation process (though they did have a great incubator with wonderful coffee cups). There were no requirements for the innovator. Instead the process dumped all of these “innovations” onto well-intentioned, smart people sitting in a committee who thought they could precompute whether these innovation ideas were worth pursuing.

An Innovation Process and Pipeline
What the company needed was a self-regulating, evidence-based innovation pipeline. Instead of having a committee vet ideas, they needed a process that operated with speed and urgency, and innovators and stakeholders who curated and prioritized their own problems/idea/technology.

All of this would occur before any new idea, tech or problem hit engineering. This way, the innovations that reached engineering would already have substantial evidence – about validated customer needs, processes, legal, security and integration issues identified — and most importantly, minimal viable products and working prototypes already tested. A canonical Lean Innovation process inside a company or government agency would look something like this:

Curation
As the head of the U.S. Army’s Rapid Equipping Force, Pete Newell built a battle-tested process to get technology solutions deployed rapidly. This process, called Curation, gets innovators to work through a formal process of getting out of their offices and understanding:

Internal and External Survey

  • Other places the problem might exist in a slightly different form
    • Internal projects already in existence
    • Commercially available solutions
  • Legal issues
  • Security issues
  • Support issues

Use Cases/Concept of Operations

  • Who are the customers? Stakeholders? Other players?
  • How did they interact? Pains/Gains/Jobs to be done?
  • How does the proposed solution work from the viewpoint of the users?
  • What would the initial minimal viable products (MVPs) – incremental and iterative solutions – look like?

In the meantime, the innovators would begin to build initial minimal viable products (MVPs) – incremental and iterative tests of key hypotheses. Some ideas will drop out when the team itself recognizes that they may be technically, financially or legally unfeasible or they may discover that other groups have already built a similar product.

Prioritization
One of the quickest ways to sort innovation ideas is to use the McKinsey Three Horizons Model. Horizon 1 ideas provide continuous innovation to a company’s existing business model and core capabilities. Horizon 2 ideas extend a company’s existing business model and core capabilities to new customers, markets or targets. Horizon 3 is the creation of new capabilities to take advantage of or respond to disruptive opportunities or disruption. And we added a new category, Horizon 0, which defers or graveyards ideas that are not viable or feasible.

At the end of this prioritization step, the teams meet another milestone: is this project worth pursing for another few months full time? A key concept of prioritization across all horizons is that this ranking is not done by a remote committee, but by the innovation teams themselves as an early step in their discovery process.

Solution Exploration/Hypotheses Testing
The ideas that pass through the prioritization filter enter an I-Corps incubation process. I-Corps was adopted by all U.S. government federal research agencies to turn ideas into products. Over a 1,000 teams of our country’s best scientists have gone through the program taught in over 50 universities. (Segments of the U.S. Department of Defense and Intelligence community have also adopted this model as the Hacking for Defense process.)

This six- to ten-week process delivers evidence for defensible, data-based decisions. It tests the initial idea against all the hypotheses in a business model (or for the government, the mission model) canvas. This not only includes the obvious — is there product/market (solution/mission) fit? — but the other “gotchas” that innovators always seem to forget. The framework has the team talking not just to potential customers but also with regulators, and people responsible for legal, policy, finance, support. It also requires that they think through compatibility, scalability and deployment long before this gets presented to engineering. There is now another major milestone for the team: to show compelling evidence that this project deserves to be a new mainstream capability and inserted into engineering. Or does it create a new capability that could be spun into its own organization? Or does the team think it should be killed?

Incubation
Once hypothesis testing is complete, many projects will still need a period of incubation as the teams championing the projects need to gather additional data about the application as well as may need to mature as a team before they are ready to integrate with a horizon 1 engineering organization or product division. Incubation requires dedicated leadership oversight from the horizon 1 organization to insure the fledgling project does not die of malnutrition (a lack of access to resources) or become an orphan (no parent to guide them).

Integration/Refactoring
Trying to integrate new, unbudgeted and unscheduled Horizon 1 and 2 innovation projects into an engineering organization that has line item budgets for people and resources results in chaos and frustration. In addition, innovation projects not only carry technical debt, but also organizational debt.

Technical debt describes what happens when software or hardware is built quickly to validate hypotheses and find early customers. This quick and dirty development results in software that can become unwieldy, difficult to maintain and incapable of scaling. Organizational debt is all the people/culture compromises made to “just get it done” in the early stages of an innovation project. You clean up technical debt through refactoring, by going into the existing code and restructuring it to make the code stable and understandable. You fix organizational debt by refactoring the team, realizing that most of the team who built and validated a prototype may not be the right team to take it to scale but is more valuable starting the next innovation initiative.

Often when an innovation pipeline runs head-on into a process-driven execution organization, chaos and finger-pointing ensues and adoption of new projects stall. To solve this problem we acknowledge that innovation projects will need to refactor both technical and organizational debt to become a mainstream product/service. To do so, the innovation pipeline has engineering set up a small refactoring organization to move these validated prototypes into production. In addition, to solve the problem that innovation is always unscheduled and unbudgeted, this group has a dedicated annual budget.

Disruptive Products
Some products and services going through the pipeline create new capabilities or open new markets. These Horizon 3 disruptive innovations need to separate from the existing development organizations and be allowed to grow and develop in physically separate spaces. They need the support and oversight of the CEO.

Fast forward a year, and slowly, like turning a supertanker, the innovation pipeline we proposed is taking shape. The company has adopted Lean language and process: curation, prioritization, three horizons, I-Corps – business/mission model canvas, customer development and agile engineering.

Lessons Learned

  • Every large company and government agency is dealing with disruption
  • Most have concluded that “business as usual” can’t go on
  • Yet while the top of the organization gets it, and the innovators on the bottom get it, there has been no relief for the engineering groups trying to keep the lights on
  • Innovation isn’t a single activity; it is a process from start to deployment
  • In “execution engines,” committees and broad stakeholder involvement make sense because experience, knowledge, and data from the past allow better decision-making
  • In “innovation engines” there isn’t the data to decide between competing ideas/projects (since nobody’s been in the future), so the teams need to gather facts outside their cubicle or building quickly
  • A self-regulating, evidence-based Lean Innovation process will deliver continuous innovation and disruptive breakthroughs with speed and urgency

You adapt, or you adopt, or you die

I was in Boston and stopped by the Harvard Business Review for their IdeaCast podcast. I shared my current thinking about innovation in companies and government agencies. The interviewer, Curt Nickisch was great and managed to get me to summarize several years of learning in one podcast.  He even got me to tell my Steve Jobs interview story.

It’s worth a listen.

Listen to the entire interview here:

Or listen to just parts of the interview:
3:29 Entrepreneurs make their own luck
4:35 The difference between an idea and an entrepreneur
5:18 Why entrepreneurship thrived in Silicon Valley
7:10 The pay-it-forward culture
7:53 Failure as part of the process
9:32 When I was more wrong than anyone on earth
11:20 Steve Jobs on Customer Development
12:38 The first time I did customer discovery
14:49 Engineers built products for themselves and the “next bench”
15:27 Why MBA’s avoided Silicon Valley
16:01 20th century investors were not entrepreneurs
16:45 Startups are not smaller versions of large companies
18:18 We needed a management stack for innovation
19:17 HBR and the Lean Startup and corporations
20:09 Why Lean fails in corporations
20:45 Startups can do anything, companies can only do what’s legal
22:0o The team
22:23 Rewards
23:00 What will drive continuous corporate innovation?
24:01 Innovation Theater
24:39 Innovation at speed
25:27 You adapt, or you adopt, or you die

Why Corporate Innovation is Harder Now

I was at Stanford in the Graduate School of Business and was interviewed by Peter Gardner of StartGrid for his On The Road podcast. I shared my current thinking about innovation in companies and government agencies.

It’s worth a listen.

BTW, it seems every podcast has a trick last question. This one was, “if I was on a road trip what’s the destination and what’s playing on the radio?”

Listen to the entire interview here:

Or just parts of the interview:

01:59     What drew me to entrepreneurship
03:43     What motivates me about innovation today
05:25     Entrepreneurship in the 20th century
06:30     The difference between large companies and startups
07:13     The Lean Startup Lightbulb moment
07:44     An MBA meant Master of Business Administration
08:18     Agile Development and Lean – Eric Ries
09:05     Business Model Canvas – Alexander Osterwalder
12:32     Innovation in Large Companies in the 20th Century
13:05     Startup Capital at Scale threatens large Companies
13:58     Startups operate with alacrity, agility and at times a death wish
15:06     Companies can only do things that are legal, while startups can do anything
16:00     Corporate defcon level – the wartime footing level
17:41     Innovation Theater
18:23     Did you move the top or bottom line?
19:50     Two types of 21st century corporations
20:55     Hedge funds and dual-class stock
22:28     Innovation pipeline not silos
24:25     Innovation Outposts
26:32     Why Innovators Leave Companies
27:30     We can’t afford to have our government go out of business
28:54    Why I turn on the Beach Boys

Why good people leave large tech companies

If you want to build a ship, don’t drum up the people to gather wood,
divide the work, and give orders.

Instead, teach them to yearn for the vast and endless sea.

Antoine de Saint-Exupéry

I was visiting with an ex-student who’s now the CFO of a large public tech company. The company is still one of the hottest places to work in tech. They make hardware with a large part of their innovation in embedded software and services.

The CFO asked me to stay as one of the engineering directors came in for a meeting.

I wish I hadn’t.

—-

The director was there to protest the forced relocation of his entire 70-person team from Palo Alto to the East Bay. “Today most of my team walks to work or takes the train there. The move will have them commuting for another 45 minutes. We’re going to lose a lot of them.”

The director had complained to his boss, the VP of Engineering, who admitted his hands were tied, as this was a “facilities matter,” and the VP of facilities reported to the CFO. So, this was a meeting of last resort, as the engineering director was making one last appeal to the CFO to keep his team in town.

While a significant part of the headcount of this tech company was in manufacturing, the director’s group was made up of experienced software engineers. Given they could get new jobs by just showing up at the local coffee shop, I was stunned by the CFO’s reply: “Too bad, but we need the space. They’re lucky they work here. If they leave at least they’ll have ‘name of our company’ on their resume.”

WTF? I wasn’t sure who was more shocked, the director or me.

After the director left, I must have looked pretty surprised as the CFO explained, “We have tens of thousands of employees, and at the rate we’re growing it’s almost impossible to keep up with our space needs in the Bay Area. You know for our CEO, ‘love us or leave us’ has been his policy from day one.” (By coincidence, the CEO was an intern at one of my startups more than two decades ago.) I asked, “Now that the company is public and has grown so large, has the policy changed?” The CFO replied, “No, our CEO believes we are on a mission to change the world, and you really have to want to work here or you ought to leave. And because we’re inundated with resumes from people who want to work for us, he sees no reason to change.”

I don’t know what was more sobering, thinking that the policy which might have made sense as a scrappy startup, was now being applied to a company with 10,000+ employees or that the phrase, “…we are on a mission to change the world, and you really have to want to work here or you ought to leave…” was the exact same line I used when the now-CEO was my intern.

Adult Supervision
Before the rapid rise of Unicorns, (startups with a valuation over a billion dollars), when boards were still in control, they “encouraged” the hiring of “adult supervision” of the founders after they found product/market fit. The belief then was that most founders couldn’t acquire the HR, finance, sales, and board governance skills rapidly enough to steer the company to a liquidity event, so they hired professional managers. These new CEOs would also act as a brake to temper the founder’s excesses.

In the last decade, technology investors realized that these professional CEOs were effective at maximizing, but not finding, product cycles. Yet technology cycles have become a treadmill, and to survive startups need to be on a continuous innovation cycle. This requires retaining a startup culture for years – and who is best to do that? The founders. Founders are comfortable in the chaos and disorder. In contrast, professional managers attempt to bring order to chaos and often kill the startup culture in the process. Venture firms realized that teaching a founding CEO how to grow a company is easier than teaching the professional CEO how to find the new innovation for the next product cycle. And they were right.  It was true in the company I was visiting— and in the last five years over 200 other Unicorns have emerged, and most still have their founders at the helm.

And so, this startup found itself with a “founder friendly” board that believed that the company could grow at a greater rate if the founding CEO continued to run the company. This founder’s reality distortion field attracted a large number of employees who shared his vision. It was so compelling, everyone worked extremely long hours, for little pay and some stock. They were lucky, they got the timing right, and after a painful couple of years figured out product/market fit, and went public. And those early employees got rewarded as their stock turned into cash.

The problem was that at some point past employee 1000, the big payoffs ended from pre-public stock and the stock’s subsequent run-up from their IPO. But the CEO never noticed that the payoff had ended for the other 95% of his company. Flying to his remote company locations in his private jet, and surrounded by his early employees who were now worth tens of millions of dollars, the mantra of “you really have to want to work here or you ought to leave” rang hollow for the latest employees.

The company was now attracting interns who did want the name of this hot company on their resume. But since compensation was way below average, they stayed just long enough to pump up their resumes and left for much better paying jobs – often in a startup.

And because fewer senior engineers considered it a great place to work, the company’s initial technology advantage has started to erode.

Wakeup Call
The downside of founders running large companies is that there are no written best practices, no classes, no standard model at all. And given that in the past, founders as a group were rarely in charge as startups became large companies, it’s no surprise. Reprogramming founders who grew their business by being agile, relentless, tenacious, and often aggressive, and irrational and at times, into CEOs that can drive organizational growth, is tough.

This means quickly learning a new set of skills; sublimating large egos, working through direct reports, when their span of control can no longer encompass the entire company; and building repeatable processes that enable scale. At times this comes only after a crisis that provides a wakeup call.

As a startup scales into a company, founders and the board need to realize that the most important transitions are not about systems, buildings or hardware. They’re about the company’s most valuable asset – its employees.

Founders of great companies figure out how the keep their passion but put people before process.

Postscript
I can tell this story now, as the director left the company and founded his own startup in a different market segment. Over the next six months 55 of the 70 employees in his group that were asked to relocate left. 25 of them joined his new startup. And of the other 30 who left?  Six new startups were formed.

Lessons Learned

  • Be careful of unintended consequences when you grow
  • Recognize the transition boundaries in company size
  • Recognize that what drove an Innovation Culture when you were small may no longer apply when you’re large

Why a Company Can’t “Be More Like a Startup”

This article originally appeared in the Harvard Business Review

 

As more and more companies face disruption from globalization, new technology, and startups that have more capital than the incumbents, the continuing cry from Wall Street investors is, “Why can’t companies be as innovative as startups?”

Here’s one reason why:

Startups can do anything.

Companies can only do what’s legal.

Startups can do anything
One of the unheralded advantages of a startup is what at first glance appears to be its weakness. Initially, a startup has no business model and no market share to defend. Its employees and investors don’t depend on an existing revenue stream. If they select a business model that targets industry incumbents, they don’t have to worry about upsetting existing customers, partners or distribution channels.

Yet those very weaknesses give startups an overwhelming advantage in innovation.  Startups can try any idea and any business model—even those that are on the surface patently illegal.

At times laws and regulations are in place for the health and safety of consumers. But often the legal obstacles confronting startups have been put in place by companies that look to the government and regulators as their first line of defense against new market entrants. (Existing companies also use network effects of monopolies/duopolies, distribution channel kickbacks, etc., to stifle competition.)

In the past, these anti-innovation tools were sufficient to keep new entrants out. But today, investors realize that companies that depend on regulation and artificial market constraints are actually vulnerable. Once presented with an alternative to the status quo, customers who have been locked into rent-seeking companies flock to innovative startups with business models that provide better service, lower prices, etc. Enormous financial returns are available to startups taking on incumbents, regulators and the law. So, startup investors comfortable making a risk capital bet are actively encouraging startups to go after large, static industries that look prime for disruption.

Here are some of the most visible examples.

Uber – current valuation >$70 billion – knew the day they started that their ridesharing service violated the law in most jurisdictions. Carrying passengers for payment, historically considered commercial use, was regulated in most cities.  In addition, some cities put an artificial limit on the number of taxi operators by requiring them to buy medallions and agree to a set of local regulations.  Uber ignored all of these requirements and reinvented local transportation by offering a more convenient service. Today, New York City has 13,587 yellow-taxi medallions and more than 50,000 Uber and Lyft cars.

PayPal – acquired by eBay three years after it was founded for $1.5 billion – started as a money transfer system for buyers and sellers on eBay. Banks protested that PayPal was an unregulated bank; and of course, are regulated by the federal government and states. As PayPal grew, incumbent banks forced it to register in each state. Ironically, once PayPal complied with state regulations by registering as a “money transmitter” on a state-by-state basis, it created a barrier to entry for future new entrants.

Airbnb – current valuation $31 billion – allows people to rent out their homes, rooms or apartments to visitors. Not surprisingly Airbnb violates local housing laws and regulations in many cities.  None of the renters pay hotel or tourist tax.  Every Airbnb rental is a lost night of revenue for hotels that hate it.  The company has more rooms available then any hotel chain.

Tesla – current valuation $50 billion – sells cars directly through its own distribution channel. To protect auto dealerships in the 1920s, direct sales by an automobile manufacturer were made illegal in most states in the U.S.  Because Tesla believed that existing auto dealers would have no incentive to sell electric cars, they created an alternative option for consumers.

Companies can do anything legal
In the 20th century companies worried about increasing their market share, profit margins, return on investment and return on net assets. They tenaciously protected their existing markets from other existing companies that were using the same business model. They very rarely worried about disruption from new firms as the barriers to entry (financial, legal, regulatory) were so high.

Ironically once companies become locked in their entrenched market positions, it became difficult for them to compete by breaking the same laws or untangling their existing channel relationships. In contrast to startups, companies are constrained by local, state and federal laws and regulations.  The risk of breaking laws can result in large penalties and shareholder lawsuits.  The Justice Department and State Attorneys General find large companies attractive targets.

As a consequence, one of the roles of the legal department in large corporations is to protect the company from straying into any legal or regulatory danger. (For example, when Volkswagen discovered their diesel cars couldn’t pass U.S. pollution standards, it faked the tests by programming cars to pass inspections. However, in normal driving these cars put out over 40 times the allowed nitrous oxide pollutants allowed by law.  After it was discovered, legal penalties cost Volkswagen $18 billion and several indicted executives.)

Yet trying to stay within the legal lines companies paint themselves into a corner by creating their own internal barriers to innovation. Instead of innovating, most industries being disrupted turn to litigation.

To compete with Tesla’s direct sales to consumers, GM, Ford, and the rest of the auto industry either have to shut Tesla out of selling directly to consumers or they have to abandon their own dealer networks and sell directly as well. It’s an untenable and unsustainable position as consumers find car salesmen to be one of the least trusted groups. To defend their dealer network, car makers decided to litigate instead of innovating.

Taxi companies needed to start copying Uber’s business model but instead they turned to lobbyists and legislation to convince cities that deregulated ridesharing was a bad idea.

Hotel chains burdened with even a greater capital investment in their physical buildings are doing the same thing.

Corporations using existing business models have people, processes and revenue goals that can’t be changed overnight. These incumbents tend to have short-term goals and incentives (stock price, quarterly earnings, year-end bonuses) and often fail to recognize that more money can be made on new platforms and new distribution channels. In each case litigation versus innovation is seems obvious choice.

What can a company do?
The introduction of new technology has always been disruptive to existing markets, particularly to those who sell through well-established distribution channels and have extensive capital equipment and fixed investments. But today, as disruption happens faster, and is funded at enterprise scale, companies need to figure how to create a portfolio of innovation. They can do so by first identifying technology trends with innovation outposts located in technology centers; second, by investing in early-stage disruptors; third – buying disruptors and keeping their innovation culture and people; while fourth, creating an innovation culture internally that disrupts their own business model before others do.

%d bloggers like this: