Hacking for Defense @ Stanford 2019

We just finished our 4th annual Hacking for Defense class at Stanford. At the end of each class we have each team give a Lessons Learned presentation. Unlike traditional demo days or Shark Tanks which are “here’s how smart I am, please give me money,” a Lessons Learned presentation tells a story of a journey of hard-won learning and discovery. For all the teams it’s a roller coaster narrative of what happens when you discover that everything you thought you knew was wrong and how they eventually got it right.

Watching each of the teams present I was left with wonder and awe about what they accomplished in 10 weeks.

  • The eight teams spoke to over 820 beneficiaries, stakeholders, requirements writers, program managers, warfighters, legal, security, customers, etc.
  • By the end the class all of the teams realized that the problem as given by the sponsor had morphed into something bigger, deeper and much more interesting.

Our keynote speaker was Palmer Luckey, founder of Oculus and the designer of the Oculus Rift. He’s now the CEO/founder of the AI-focussed defense contractor Anduril Industries.

If you can’t see the video of Palmer Luckey click here

Presentation Format
Each of the eight teams presented a 2-minute video to provide context about their problem.

Followed by an 8-minute slide presentation follow their customer discovery journey over the 10-weeks. All the teams used the Mission Model Canvas, Customer Development and Agile Engineering to build Minimal Viable Products, but all of their journeys were unique.

All the presentations are worth a watch.

Team: Panacea

If you can’t see the Panacea 2-minute video click here

If you can’t see the video of the Panacea team presenting click here

If you can’t see the Panacea slides click here

Mission-Driven Entrepreneurship
This class is part of a bigger idea – Mission-Driven Entrepreneurship. Instead of students or faculty coming in with their own ideas — we now have them working on societal problems, whether they’re problems for the State Department or the Department of Defense, or non-profits/NGOs, or for the City of Oakland or for energy or the environment, or for anything they’re passionate about. And the trick is we use the same Lean LaunchPad / I-Corps curriculum — and kept the same class structure – experiential, hands-on, driven this time by a mission-model not a business model.

Mission-driven entrepreneurship is the answer to students who say, “I want to give back. I want to make my community, country or world a better place, while solving some of the toughest problems.”

Team: Learn2Win

If you can’t see the Learn2Win 2-minute video click here

If you can’t see the video of the Leanr2Win team presenting click here

If you can’t see the Leanr2Win slides click here

It Started with an Idea
Hacking for Defense has its origins in the Lean LaunchPad class I first taught at Stanford in 2011. I observed that teaching case studies and/or how to write a business plan as a capstone entrepreneurship class didn’t match the hands-on chaos of a startup. And that there was no entrepreneurship class that combined experiential learning with the Lean methodology. Our goal was to teach both theory and practice.

The same year we started the class, it was adopted by the National Science Foundation to train Principal Investigators who wanted to get a federal grant for commercializing their science (an SBIR grant.) The NSF observed, “The class is the scientific method for entrepreneurship. Scientists understand hypothesis testing” and relabeled the class as the NSF I-Corps (Innovation Corps). The class is now taught in 9 regional locations supporting 98 universities and has trained over 1500 science teams. It was adopted by the National Institutes of Health as I-Corps at NIH in 2014 and at the National Security Agency in 2015.

Team: Embargo NK

If you can’t see the EmbargoNK 2-minute video click here

If you can’t see the video of the EmbargoNK team presenting click here

If you can’t see the EmbargoNK slides click here

Origins of Hacking For Defense
In 2016, brainstorming with Pete Newell of BMNT and Joe Felter at Stanford we observed that students in our research universities had little connection to the problems their government as well as the larger issues civil society was grappling with. Wondering how we could get students engaged, we realized the same Lean LaunchPad/I-Corps class would provide a framework to do so. That year Hacking for Defense and Hacking for Diplomacy (with Professor Jeremy Weinstein) with the State Department were both launched at Stanford.

 

Team: Common Ground

If you can’t see the Common Ground 2-minute video click here

If you can’t see the video of the Common Ground team presenting click here

If you can’t see the Common Ground slides click here

Goals for the Hacking for Defense Class
Our primary goal was to teach students Lean Innovation while they engaged in a national public service. Today if college students want to give back to their country they think of Teach for America, the Peace Corps, or Americorps or perhaps the US Digital Service or the GSA’s 18F. Few consider opportunities to make the world safer with the Department of Defense, Intelligence Community or other government agencies.

Next, we wanted the students to learn about the nation’s threats and security challenges while working with innovators inside the DoD and Intelligence Community. While doing so, also teach our sponsors (the innovators inside the Department of Defense (DOD) and Intelligence Community (IC)) that there is a methodology that can help them understand and better respond to rapidly evolving asymmetric threats. That if we could get teams to rapidly discover the real problems in the field using Lean methods, and only then articulate the requirements to solve them, could defense acquisition programs operate at speed and urgency and deliver timely and needed solutions.

Finally, we wanted to familiarize students about the military as a profession, its expertise, and its proper role in society. And conversely show our sponsors in the Department of Defense and Intelligence community that civilian students can make a meaningful contribution to problem understanding and rapid prototyping of solutions to real-world problems.

Team: Deepfakes

If you can’t see the Deepfakes 2-minute video click here

If you can’t see the video of the Deepfakes team presenting click here

If you can’t see the Deepfakes slides click here

Mission-driven in 30 Universities
Hacking for Defense is offered in over 25 universities, but quickly following, Orin Herskowitz started Hacking for Energy at Columbia, Steve Weinstein started Hacking for Impact (Non-Profits) and Hacking for Local (Oakland) at Berkeley and will be starting Hacking for Oceans at Scripps. Hacking for Conservation and Development at Duke followed.

Team: IntelliSense

If you can’t see the Intellisense 2-minute video click here

If you can’t see the video of the Intellisense team presenting click here

If you can’t see the Intellisense slides click here

Team: Gutenberg

If you can’t see the Gutenberg 2-minute video click here

If you can’t see the video of the Gutenberg team presenting click here

If you can’t see the Gutenberg slides click here

Team: PredictiMx

If you can’t see the PredictiMx 2-minute video click here

If you can’t see the video of the PredictiMX team presenting click here

If you can’t see the PredictiMx slides click here

It Takes a Village
While I authored this blog post, this classes is a team project. The teaching team consisted of:

  • Pete Newell is a retired Army Colonel and CEO of BMNT.
  • Steve Weinstein a 30-year veteran of Silicon Valley technology companies and Hollywood media companies.  Steve was CEO of MovieLabs the joint R&D lab of all the major motion picture studios.
  • Tom Bedecarré was the founder and CEO of AKQA, the leading digital advertising agency. Four decades as part of the most successful advertising agencies in the world.
  • Jeff Decker is a social science researcher at Stanford. Jeff served in the U.S. Army as a special operations light infantry squad leader in Iraq and Afghanistan.

Our teaching assistants Nate Simon, Aidan Daniel McCarty, Mackenzie Burnett and Diego CervantesA special thanks to the National Security Innovation Network (NSIN) and Rich Carlin and the Office of Naval Research for supporting the program at Stanford and across the country. And our course advisor – Tom Byers, Professor of Engineering and Faculty Director, STVP.

We were lucky to get a team of mentors (VC’s and entrepreneurs) who selflessly volunteered their time to help coach the teams. Thanks to Kevin Ray, Lisa Wallace, Rafi Holtzman, Craig Seidel, Todd Basche, Don Peppers, Robert Locke, and Mark Clapper.

We were privileged to have the support of an extraordinary all volunteer team of professional senior military officers representing all branches of service attending fellowship programs at Stanford’s Hoover Institution, and Center for International Security and Cooperation (CISAC) and Asia Pacific Research Center (APARC) at the Freeman Spogli Institute (FSI) as well as from the Defense Innovation Unit. These included:Tim Mungie, Tim Murphy, Matt Kent, Todd Mahar, Donnie Hasseltine, Jay Garcia, Kevin Childs.

And of course a big shout-out to our sponsors. At United Nations Command Security Battalion – CPT Justin Bingham, Air Force Air Combat Command – Mr. Steven Niewiarowski, Office of the Secretary of Defense Asian & Pacific Security Affairs – Chief of Staff Julie Sheetz, U.S. Coast Guard – Security Specialist Asad Hussain, IQT – Vishal Sandesara, Veterans Adminstration – Kristopher “Kit” Teague, Chief Operating Officer, IARPA – John Beieler, DNI – Dean Souleles

Thanks!

How to Stop Playing “Target Market Roulette”: A new addition to the Lean toolset

Modern entrepreneurship began at the turn of this century with the observation that startups aren’t smaller versions of large companies – large companies at their core execute known business models, while startups search for scalable business models. Lean Methodology consists of three tools designed for entrepreneurs building new ventures:

These tools tell you how to rapidly find product/market fit inside a market, and how to pivot when your hypotheses are incorrect. However, they don’t help you figure out where to start the search for your new business.

A new tool – the Market Opportunity Navigator – helps do just that. It provides a wide-lens perspective to find different potential market domains for your innovation, before you zoom in and design the business model or test your minimal viable products. This new framework can act as the front-end of Customer Development. It helps figure out the most promising starting position – market domain – for your customer development process. And it helps identify promising Plan B’s and new growth options if you have already embarked on your innovation journey.

Over the years, I have seen many startups and innovation projects perform a painful “re-start” to completely new market domains. With a little more thinking up front these entrepreneurs and innovators could have identified more promising business contexts to play in, and thus avoided this difficult pivot down the road. But while the academic literature is full of papers covering market selection and the literature has some popular books (Blue Ocean Strategy, et al.) there is a lack of easy-to-use tools to do so.

In large companies and government agencies the problem is even more acute. Where do we spend our limited time and resources on our next moves? While the Innovation Pipeline tells us how to go to from sourcing to delivery how do we prioritize our choices? The Market Opportunity Navigator is a useful adjunct to the curation and prioritization steps.

Just like the Business Model Canvas, the Market Opportunity Navigator has closed the gap between academic theory and books by offering a simple, visual way to navigate the process of how to select what market to start with. Developed by Prof. Marc Gruber and Dr. Sharon Tal and based on hundreds of cases they studied during their practical and academic work, the Market Opportunity Navigator is described in their new book, Where to Play.

In three simple steps the Market Opportunity Navigator can help you:

  • Identify a portfolio of market opportunities stemming from your technology or unique abilities
  • Reveal the most attractive domain(s) by evaluating the potential and challenges of each option
  • Prioritize market opportunities smartly to set the boundaries for your lean experimentations

I asked Sharon and Marc to summarize why market selection is important and describe an example of how to use it.


Different Playgrounds mean different Rules of the Game
There are many ways in which you may have identified a market for your business. Some of you may have identified a market need based on your own experience, or you may have been approached by potential customers, or if you are corporate innovator you may have applied an innovative solution to an existing target market. Yet, are you sure that this is the best opportunity? Could there be greener pastures (larger markets, more profitable markets, etc.) out there for commercializing your technology or unique abilities?

Taking the time to reveal the most promising market – the best starting position – before you engage in a focused customer development process is critical, because market domains vary in their value creation potential, competitive landscape, regulatory regime and risks associated with launching new products. In fact, by not asking “Where to Play” innovators risk choosing an inferior playground – one that does not allow the project to prosper. Beyond the possible loss of revenues, this early decision may be difficult to change, or even irreversible: it influences how you develop your technology going forward, raise money, write patents, recruit employees and pick a brand name. If re-start in another target market is required, such a pivot is painful, costly, and sometimes even impossible.

Finding the best starting position is a learning process that takes time and bandwidth – two scarce resources. So instead of taking a deliberate step back to understand their portfolio of opportunities, entrepreneurs and innovators often just start running. They make a bet and engage in customer development experiments – adopting “local” pivots in a relatively fixed context, until a scalable business model is (hopefully) revealed. This can be a big bet! The search for product/market fit and for a scalable, promising business model should therefore begin with uncovering and understanding the different market contexts in which you can play. In fact, by adopting a wider lens, the search process shifts from 2D (finding a product-market fit) to 3D (finding multiple product-market fits in different market contexts).

Academic research published in Management Science investigated 85 VC-backed startups and offered a conclusion that seems obvious in hindsight: “look before you leap.” The big idea was that experienced entrepreneurs tend to generate a portfolio of market opportunities before deciding where to play, thereby laying the ground for significant performance benefits. In other words, understanding your arena of opportunities is a key asset for entrepreneurs and innovators.

Identifying your Arena and Choosing Where to Play
The Market Opportunity Navigator provides a visual framework to discover, compare and prioritize different market domains and business contexts. It helps you to think about your arena, rather than your industry – a key mindset shift in today’s competitive landscape.

The Navigator walks you through a three-step process that helps you to make a more informed choice. It does so in a friendly, intuitive manner, with a visual design board and 3 worksheets to guide the process.

You can download the Navigator and its worksheets here.

Putting it all together: A Superset of Tools
Mapping out your market opportunities to understand your most promising starting position generates valuable insights for your innovation journey. In short, the big-picture view provided by the Navigator helps you zoom-out to understand “where to play,” while the detailed views of the lean approach and the Business Model and Value Proposition Canvases help you zoom-in and understand in detail “how to play.” Together, they create a superset of tools that supports you in an iterative learning process until you find a scalable, promising business.

Having a market opportunity portfolio to draw from offers an additional benefit. By having gamed out multiple markets, you can bake agility into the DNA of your venture – a key component in the Lean methodology. It allows you to carefully select and keep open backup and growth options.  If a “re-start” is eventually required, it will be less painful and less costly.

Let’s take a look at an example from the startup world to see how the Market Opportunity Navigator works.

We Can Fly Anywhere – but Where Do We Go First?
Flyability develops drones to inspect difficult-to-access locations. In theory, they can custom-build their drone to perform different jobs in completely different markets: industrial inspection, search and rescue, entertainment or surveillance – to name but a few. Each of these markets varies significantly in its business context and in its promise for growth. Furthermore, each market would require its own customer development process to reveal a scalable, repeatable business model – clearly a demanding process that is difficult to run simultaneously in multiple domains.

So how did Flyability find its best starting position – the initial market domain where the founders should engage in detailed customer discovery and build their business? They used the Navigator and its three worksheets to guide their process.

Worksheet 1: Generate your market opportunity set
The founders’ first idea was to use the drone for observing critical disasters, like the reactor meltdowns in Fukushima, Japan. Yet, by going through the first step of the Navigator, the team began to uncover alternative markets where their drone could add value for customers. Among others, they considered drone-based inspection of boilers in thermal power plants, the inspection of oil & gas storage tanks, and intelligence-gathering by police forces. Overall, five market domains seemed interesting and required further evaluation.

Worksheet 2: Evaluate market opportunity attractiveness
Using the second step of the Navigator, the team systematically examined the potential of each market and its unique challenges. This allowed Flyability to map out their options and visually compare their attractiveness. Gradually, it became clear that thermal power plants were a “gold mine” option worth playing in. They could now use the Business Model Canvas and the lean experimentation processes to design and validate a scalable business model within this market.

Worksheet 3: Design your agile focus strategy
Once the founders chose their primary market, they could leverage alternatives to create a more agile company by mitigating risk and avoiding locking-in. Specifically, using the third step of the Navigator, the founders designed a small portfolio of backup and growth options that they would keep open. This foresight laid the ground to early key decisions that have long-term consequences, like how they developed their drone or chose their brand name. In addition, it helped them clearly define which options they would place in storage for now (as focusing is about saying no more than anything else).

By employing the Market Opportunity Navigator, Flyability has not only figured out “Where to Play” it has mapped out an interesting growth path that is appealing to investors. To get a better sense of this process, you can view Flyability’s Navigator below, or read the full case study by clicking here.

Insights for VCs, Tech Transfer Officers, and Social Entrepreneurs
Identifying your arena of opportunities is not only key for startups and established firms, but for anyone dealing with technology commercialization. For VC’s, the macro-level perspective shows the market opportunities that can be addressed by a startup and lays out a clear monetization process over time. It also offers a portfolio perspective when screening initial or successive investments. If you are working for a Tech Transfer Office, a wide-lens perspective is essential for assessing the value of an invention, and for figuring out in which hands you should put it. Furthermore, if you are trying to address a social problem, the Navigator helps ensure you identify a market that allows you to generate an economic bottom-line in addition to your social impact.

Lessons Learned

  • Lean Startup tools offer the details of “how to play,” while the Market Opportunity Navigator helps you to zoom-out to understand “where to play”
    • There are multiple “starting positions” for your customer discovery journey
    • Each starting point has different challenges to overcome
  • What would be your most valuable domain?
  • The Market Opportunity Navigator is an easy-to-apply framework for this process

The Lean LaunchPad Class: It’s the same, but different

It’s the same, but different

We just finished the 8th annual Lean LaunchPad class at Stanford. The team presentations are at the end of this post.

It’s hard to imagine, but only a decade ago, the capstone entrepreneurship class in most universities was how to write – or pitch- a business plan. As a serial entrepreneur turned educator, this didn’t make sense to me. In my experience, I saw that most business plans don’t survive first contact with customers.

So in 2011, with support from the Stanford Technology Ventures Program (the entrepreneurship center in the Stanford Engineering School), we created a new capstone entrepreneurship class – the Lean LaunchPad. The class was unique in that it was 1) team-based, 2) experiential, 3) lean-driven (hypothesis testing/business model/customer development/agile engineering). This new class aimed to mimic the uncertainty all startups face as they search for a business model while imparting an understanding of all the components of a business model, not just how to give a pitch or a demo.

(It’s worth reading the blog post that became the manifesto of the class here as well as what we learned when we first taught it- here.)

Ninety days after we first offered this class at Stanford, the National Science Foundation adopted the class calling it the NSF I-Corps (the Innovation Corps) to train our country’s top scientists how to commercialize their inventions. I-Corps is now offered in 88 universities. The National Institute of Health teaches its version in the National Cancer Institute. (I-Corps @ NIH). (The NIST report on Unleashing Innovation recommended expanding I-Corps and the House just passed the Innovators to Entrepreneurs Act to do just that.) The Lean LaunchPad/I-Corps syllabus is the basis for a series of Mission-Driven Entrepreneurship classes; Hacking for Diplomacy, Defense, Energy, Oceans, non-profits and cities.

If you had dropped by in 2011, the first time I taught the class, and then stuck your head in today, you’d say it was the same class. The syllabus is almost identical, the teams still get out of the building to do customer discovery every week, then come back to class and present what they learned weekly, etc.

But while it’s the same, it’s different.

After thousands of students taking this class, here are a few ways the class has changed.

—-

A Great Class Endures Beyond Its Author
I’ve always believed that great classes continue to thrive after the original teachers have moved on. While I created the Lean LaunchPad methodology and pedagogy (how to teach the class) and the train-the-trainer course for the NSF I-Corps, the sheer scale and success of the class is due to the efforts of the 100’s of National Science Foundation instructors and the NSF. And while I created the original course, the Stanford class is now led by Jeff Epstein and Steve Weinstein.

To be honest, as I watch other instructors now run these classes, I feel a proud “passing of the torch” though touched by moments of King Lear and Kurosawa’s Ran. Way past my ad hoc activities, the Stanford teaching team has thoroughly professionalized the class.

Expanded Teaching Team
In addition to the lead instructors, the Stanford teaching team now includes George John, Mar Hershenson, and Tom Bedecarre, all generously volunteering their time. Each of them brings decades of industry experience to the class. This type of teaching firepower and headcount was necessary as the teaching team expanded the class size to meet student demand.

Class Size
For the first few National Science Foundation classes, we taught 24 teams at a time with three instructors. We did it by breaking the class into three separate sections, having all teams together for our lectures and separating into sections of eight teams each when the teams presented. (After painful trial and error, we had discovered that the teaching team could listen to 8 teams present before our brains melted down.)

At Stanford we limited the class to 8 teams – four students per team. However, this year, the class was so oversubscribed, and the quality of the teams applying was so high, the teaching team admitted 14 teams and reverted to the original NSF model of separating into sections. The additional teaching team members made it possible.

Class Velocity/Depth
When we started this class, the concept of Lean (business models, customer development, agile, pivots, mvp’s) was new to everyone. Now they’re common buzzwords, and most of the students come in with an understanding of Lean. This head start has allowed the teaching team to accelerate the velocity and depth of learnings past the basics.

Women
In past years, the student teams in the Stanford classes were weighted toward men, reflecting the makeup of the applicants. While Ann Miura-Ko was part of the original teaching team, having all male instructors for the last five years didn’t help. After Mar Hershenson joined the teaching team last year, she made an all-out effort to recruit women to apply. A role model as a successful CEO and VC, Mar successfully sparked interest in women students and sponsored women-only lunch sessions, mixers and meetings to introduce them to the class. As you’ll notice from the presentations below, the result was that this year 50% of the applicants and accepted teams were women.

The lessons for me were: 1) the class had been unintentionally signaling a “boys-only” environment, 2) these unconscious biases were easily dismissed by assuming that the class makeup simply reflected the applicant pipeline, and 3) when in fact it required active outreach by a woman to change that perception and bring more women into the pipeline and subsequent teams.

Product/Market Fit Versus The Business Model Canvas
My original vision for the class was to use the business model canvas as a framework to teach engineering students all the nine elements of the business model: customer, distribution channel, revenue, get/keep/grow, value proposition, activities, resources, partners and costs. And instead of the traditional income statement, balance sheet and cash flow, discover the key “metrics that matter” for their business model.

While students want to spend their time focusing on product/market fit (who’s the customer and what should we build for them) and building product-centric minimum viable products, I thought that Y-Combinator and other accelerators already did an excellent job of that. My goal was to use the canvas to expose engineering students to other essential aspects of a successful business they may be less familiar with (sales, marketing, finance, operations.)

Admittedly this was tough to do, because in one quarter teams haven’t yet found product/market fit and are loath to move off it until they do. But since my goal was to teach a methodology rather than to run an accelerator, I traded off time on product/market fit for exposure to the rest of the canvas.

If we were designing a curriculum rather than just a single class, we’d offer it as two semesters/quarters – the first searching for problem/solution and product/market fit, and the second half focusing on the rest of the canvas testing feasibility and viability.

As you look at this year’s presentations, you can see the presentations still tend to focus on product/market fit. Obviously, there is no right answer to what and how to teach, and the answer may change over time.

TAs/ Diagnostics/Mentors
Our Teaching Assistants keep all the moving parts of the class running. Each years TAs have continued to make the class better (although I must admit it was interesting to watch the TAs remove any uncertainty from what students need to do week-to-week, as I had designed a level of uncertainty into the class to mimic what a real-world startup would feel like.) The teaching team and TA’s have added an enormous number of useful diagnostics to measure student reactions to each part of the pedagogy and the overall value of the class. However, the real art of teaching is to remember that the class wasn’t designed by a focus group.

Finally, the mentors (unpaid industry advisors) who volunteer their time have been professionalized and managed by Tom Bedecarre. Each mentor’s contribution gets graded by the students in the team they coached.

Things That Needed Constant Reminders
Every time we slipped up and admitted an all engineering or all MBA team we were reminded by their struggles that successful teams need to be diverse – that they include both innovators and entrepreneurs (typically engineers and MBA’s.)

The same holds true for pushing the students. Every time we slacked off relentlessly direct feedback we saw a commensurate drop in the quality of the teams output.

The Teams
In the end, this class is not only about what the instructors try to teach the students but also about whether students processed what we intended for them to learn. Over time, two of our major insights were: 1) teams needed a week to process all they learned, and 2) we needed to teach them how to turn that learning into a story of their journey.

This year all our teams accomplished that and much, much more.

And after 9 years of classes, students still find that this class is the closest thing to being in a real startup.

Take a look at their presentations below.

AgAI

If you can’t see the presentation click here

If you can’t see the video click here

BeaconsAI

If you can’t see the presentation click here

If you can’t see the video click here

Equify

If you can’t see the presentation click here

If you can’t see the video click here

Equipped

If you can’t see the presentation click here

If you can’t see the video click here

HardHats

If you can’t see the presentation click here

If you can’t see the video click here

Lemnos

If you can’t see the presentation click here

If you can’t see the video click here

NanoSense

If you can’t see the presentation click here

If you can’t see the video click here

Neuro

If you can’t see the presentation click here

If you can’t see the video click here

NeuroDiversity Nerds

If you can’t see the presentation click here

If you can’t see the video click here

 

Praxis

If you can’t see the presentation click here

If you can’t see the video click here

Promote.It

If you can’t see the presentation click here

If you can’t see the video click here

RightFoot

If you can’t see the presentation click here

If you can’t see the video click here

Topt

If you can’t see the presentation click here

If you can’t see the video click here

Wanderwell

If you can’t see the presentation click here

If you can’t see the video click here

The Fatal Flaw of the Three Horizons Model

A version of this article first appeared in the Harvard Business Review

I’m a big fan of McKinsey’s Three Horizons Model of innovation. (if you’re not familiar with it there’s a brief description a few paragraphs down.) It’s one of the quickest ways to describe and prioritize innovation ideas in a large company or government agency.

However, in the 21stcentury the Three Horizons model has a fatal flaw that could put companies out of business and government agencies behind their adversaries. While traditional analysis suggests that Horizon 3 disruptive innovations take years to develop, in today’s world this is no longer the case. The three horizons are not bound by time. Horizon 3 ideas – disruption – can be delivered as fast as ideas for Horizon 1 – existing products.

In order to not be left behind, companies / government agencies need to focus on speed of delivery and deployment across all three horizons.


When first articulated by Baghai, Coley and White in the 20th century, the Three Horizons model was a simple way to explain to senior management the need for an ambidextrous organization – the idea that companies and government agencies need to execute existing business / mission models while simultaneously creating new capabilities.

The Three Horizons provided an incredibly useful taxonomy. The model described innovation occurring in three time horizons:

  • 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 to counter disruption.

Each horizon requires different focus, different management, different tools and different goals. McKinsey suggested that to remain competitive in the long run a company allocate its research and development dollars and resources across all three horizons.

And here’s the big idea. In the past we assigned relative delivery time to each of the Horizons. For example, some organizations defined Horizon 1 as new features that could be delivered in 3-12 months; Horizon 2 as business/mission model extensions 24-36 months out; and Horizon 3 as creating new disruptive products/business/mission models 36-72 months out.  This time-based definition made sense in the 20th century when new disruptive ideas took years to research, engineer and deliver.

That’s no longer true in the 21st century.

Today, disruption Horizon 3 ideas – can be delivered as fast as Horizon 1 ideas.

For example, Uber took existing technology (smartphone app, drivers) but built a unique business model (gig economy disrupting taxis) and the Russians used existing social media tools to wage political warfare. Fast disruption happens by building on existing technologies uniquely configured, packaged and/or delivered, and combining them with a “speed of good-enough deployment as a force multiplier” mindset.

What’s an Example of Rapid Horizon 3 Implementation?
In the commercial space AirBnB, Uber, Craigslist, Tesla, and the explosion of machine learning solutions (built on hardware originally designed for computer graphics (Nvida)) are examples of radical disruption using existing technologies in extremely short periods of time.

In the government space, Russian interference with elections, and China building island bases in the South China Sea as well as repurposing ICBMs as conventional weapons to attack aircraft carriers, are examples of radical disruption using existing technologies deployed in extremely short periods of time.

What’s Different about Rapid Horizon 3 Disruption?
These rapid Horizon 3 deliverables emphasize disruption, asymmetry and most importantly speed, over any other characteristic. Serviceability, maintainability, completeness, scale, etc. are all secondary to speed and asymmetry.

To existing competitors or to existing requirements and acquisition systems they look like minimum viable products – barely finished, iterative and incremental prototypes. But the new products get out of the building, disrupt incumbents and once established, they then refactor and scale. Incumbents now face a new competitor/threat that obsoletes their existing product line/infrastructure/business/mission model.

Why Do the Challengers/new Entrants Have the Edge?
Ironically rapid Horizon 3 disruption is most often used not by the market leaders but by the challengers/new entrants (startups, ISIS, China, Russia, etc.). The new players have no legacy systems to maintain, no cumbersome requirements and acquisition processes, and are single-mindedly focused on disrupting the incumbents.

Four Strategies to Deal With Disruption
For incumbents, there are four ways to counter rapid disruption:

  • Incentivize external resources to focus on your goal/mission. For example, NASA and Commercial Resupply Services with SpaceX and OrbitalATK, Apple and the App Store, DARPA Prize challenges. The large organizations used startups who could rapidly build and deliver products for them – by offering something the startups needed – contracts, a distribution platform, or prizes. This can be a contract with a single startup or a broader net to incentivize many.
  • Combine the existing strengths of a company/agency and its business/mission model by acquiring external innovators who can operate at the speed of the disruptors. For example, Google buying Android. The risk here is that the mismatch of culture, process and incentives may strangle the newly acquired innovation culture.
  • Rapidly copy the new disruptive innovators and use the incumbent’s business/mission model to dominate. For example, Microsoft copying Netscape’s web browser and using its dominance of operating system distribution to win, or Google copying Overture’s pay per click model and using its existing dominance in search to sell ads. The risk here is that copying innovation without understanding the customer problem/mission can result in solutions that miss the target.
  • Innovate better than the disrupters. (Extremely difficult for large companies/government agencies as it is as much a culture/process problem as a technology problem. Startups are born betting it all. Large organizations are executing and protecting the legacy.) Successful examples, Apple and the iPhone, Amazon and Amazon Web Services (AWS). Gov’t agency and armed drones.

Lessons Learned

  • The Three Horizons model is still very useful as a shorthand for prioritizing innovation initiatives.
  • Some Horizon 3 disruptions do take long periods of development
  • However, today many Horizon 3 disruptions can be rapidly implemented by repurposing existing Horizon 1 technologies into new business/mission models
  • Speed of deployment of a disruptive/asymmetric product is a force multiplier
  • The attackers have the advantage, as the incumbents are burdened with legacy
  • Four ways for the incumbents to counter rapid disruption:
    • Incentivize external resources
    • Acquire external innovators
    • Rapidly copy
    • Innovate better than the disrupters

How do you apply Lean to Digital Health and Life Sciences?

Five years ago we brought evidence-based entrepreneurship to Life Sciences – teaching the first Lean Lean Launchpad class at UCSF, then the NIH and Imperial College. But it’s been awhile since I was in a room made up entirely of Life Science entrepreneurs. So I was excited to visit IndieBio, a life science accelerator in San Francisco. Think of IndieBio as “Y-Combinator for Life Sciences with a wet lab” and you get what they are trying to do. It’s a 4-month program to help biotech startups build their company and it comes with $250k in seed funding.

I sat down with Arvind Gupta, Founder and Managing Director of IndieBio and talked about how Lean methods apply to Life Sciences.

If you can’t see the video click here

The first half of the conversation talks about Lean and its origins.

The second half focuses on its applicability in Digital Health and Life Sciences.

18:19: Why the Lean Startup works for life science startups
19:20: The origins of Lean and I-Corps
22:34: Your science is not a company
26:53: Your investors may like you but it’s not why they fund you
28:53: Do you have a crazy person in the room — Innovators vs. entrepreneurs
32:30: Reducing startup risk – Evidence-based entrepreneurship in Life Science
35:30: Lean is a bounding box around infinite uncertainty

What Your Startup Needs to Know About Regulated Markets

Often the opposite of disruption is the status quo.

If  you’re a startup trying to disrupt an existing business you need to read The Fixer by Bradley Tusk and Regulatory Hacking by Evan Burfield. These two books, one by a practitioner, the other by an investor, are must-reads.

The Fixer is 1/3rd autobiography, 1/3rd case studies, and 1/3rd a “how-to” manual. Regulatory Hacking is closer to a “step-by-step” textbook with case studies.

Here’s why you need to read them.


One of the great things about teaching has been seeing the innovative, unique, groundbreaking and sometimes simply crazy ideas of my students. They use the Business Model (or Mission Model) Canvas to keep track of their key hypotheses and then rapidly test them by talking to customers and iterating their Minimal Viable Products. This allows them to quickly find product/market fit.

Except when they’re in a regulated market.

Regulation
All businesses have regulations to follow –  paying taxes, incorporating the company, complying with financial reporting. And some have to ensure that there are no patents or blocking patents.  But regulated markets are different. Regulated marketplaces are ones that have significant government regulation to promote (ostensibly) the public interest. In theory regulations exist to protect the public interest for the benefit of all citizens. A good example is the regulations the FDA (Food and Drug Administration) have in place for approving new drugs and medical devices.

In a regulated market, the government controls how products and services are allowed to enter the market, what prices may be charged, what features the product/service must have, safety of the product, environmental regulations, labor laws, domestic/foreign content, etc.

In the U.S. regulation happens on three levels:

  • federal laws that are applicable across the country are developed by Federal government in Washington
  • state laws that are applicable in one state are imposed by state government
  • local city and county laws come from local government.

Federal Government
In the U.S. the national government has regulatory authority over inter-state commerce, foreign trade and other business activities of national scope and interest. Congress decides what things needs to be regulated and passes laws that determine those regulations. Congress often does not include all the details needed to explain how an individual, business, state or local government, or others might follow the law. In order to make the laws work on a day-to-day level, Congress authorizes certain government agencies to write the regulations which set the specific requirements about what is legal and what isn’t.  The regulatory agencies then oversee these requirements.

In the U.S. startups might run into an alphabet soup of federal regulatory agencies, for example; ATF, CFPB, DEA, EPA, FAA, FCC, FDA, FDIC, FERC, FTC, OCC, OSHA, SEC. These agencies exist because Congress passed laws.

States
In addition to federal laws, each State has its own regulatory environment that applies to businesses operating within the state in areas such as land-use, zoning, motor vehicles, state banking, building codes, public utilities, drug laws, etc.

Cities/Counties
Finally, local municipalities (cities, counties) may have local laws and regulatory agencies or departments like taxi commissions, zoning laws, public safety, permitting, building codes, sanitation, drug laws, etc.

A Playbook for Entering a Regulated Market
Startup battles with regulatory agencies – like Uber with local taxi licensing laws, AirBnB with local zoning laws, and Tesla with state dealership licensing – are legendary. Each of these is an example of a startup disrupting regulated markets.

There’s nothing magical about dealing with regulated markets. However, every regulated market has its own rules, dynamics, language, players, politics, etc. And they are all very different from the business-to-consumer or business-to-business markets most founders and their investors are familiar with.

How do you know you’re in a regulated market? It’s simple– ask yourself two questions:

  • Can I do anything I want or are there laws and regulations that might stop me or slow me down?
  • Are there incumbents who will view us as a threat to the status quo? Can they use laws and regulations to impede our growth?

Diagram Your Business Model
The best way to start is by drawing a business model canvas. In the customer segments box, you’re going to discover that there may be 5, 10 or more different players: users, beneficiaries, stakeholders, payers, saboteur, rent seeker, influencers, bureaucrats, politician, regulators. As you get out of the building and start talking to people you’ll discover more and more players.

Instead of lumping them together, each of these users, beneficiaries, stakeholders, payers, saboteur, rent seekers, etc. require a separate Value Proposition Canvas. This is where you start figuring out not only their pains, gains and jobs to be done, but what products/services solve those pains and gains. When you do that, you’ll discover that the interests of your product’s end user versus a regulator versus an advocacy group, key opinion leaders or a politician, are radically different. For you to succeed you need to understand all of them.

One of the critical things to understand is how the regulatory process works. For example, do you just fill out an online form and pay a $50 fee with your credit card and get a permit? Or do you need to spend millions of dollars and years running clinical trials to get FDA clearance and approval? And are these approvals good in every state? In every country? What do you need to do to sell worldwide?

Find the Saboteurs and Rent Seekers
One of the unique things about entering a regulated market is that the incumbents have gotten there first and have “gamed the system” in their favor. Rent seekers are individuals or organizations with successful existing business models who look to the government and regulators as their first line of defense against innovative competition. They use government regulation and lawsuits to keep out new entrants that might threaten their business models. They use every argument from public safety to lack of quality or loss of jobs to lobby against the new entrants. Rent seekers spend money to increase their share of an existing market instead of creating new products or markets but create nothing of value.

These barriers to new innovative startups are called economic rentExamples of economic rent include state automobile franchise laws, taxi medallion laws, limits on charter schools, cable company monopolies, patent trolls, bribery of government officials, corruption and regulatory capture.

Rent seeking lobbyists go directly to legislative bodies (Congress, State Legislatures, City Councils) to persuade government officials to enact laws and regulations in exchange for campaign contributions, appeasing influential voting blocks or future jobs in the regulated industry. They also use the courts to tie up and exhaust a startup’s limited financial resources. Lobbyists also work through regulatory bodies like the FCCSECFTC, Public Utility, Taxi, or Insurance Commissions, School Boards, etc.

Although most regulatory bodies are initially created to protect the public’s health and safety, or to provide an equal playing field, over time the very people they’re supposed to regulate capture the regulatory agencies. Rent Seekers take advantage of regulatory capture to protect their interests against the new innovators.

Understand Who Pays
For revenue streams figure out who’s going to pay. Is it the end user? An insurer? Some other third party?  If it’s the government, hang on to your seat because you now have to deal with government procurement and/or reimbursement. These payers need a Value Proposition Canvas as well.

Customer Relationships
For Customer Relationships, figuring out how to “Get, Keep and Grow” customers in a regulated market is a lot more complex than simply “Let’s buy some Google Adwords”. Market entry in a regulated market often has many more moving parts and is much costlier than a traditional market, requiring lobbyists, key opinion leaders, political donations, advocacy groups, and grassroots and grasstops campaigns, etc.

Diagram the Customer Segment Relationships
Start diagraming out the relationships of all the customer segments. Who influences who? How do they interconnect? What laws and regulations are in your way for deployment and scale? How powerful are each of the players? For the politicians, what are their public positions versus actual votes and performance. Follow the money. If an elected official’s major donor is organization x, you’re not going to be able to convince them with a cogent argument.

The book Regulatory Hacking calls this diagram the Power Map. As an example, this is a diagram of the multiple beneficiaries and stakeholders that a software company developing math software for middle school students has to navigate. Your diagram may be more complex.  There is no possible way you can draw this on day one of your startup. You’ll discover these players as you get out of the building and start filling out your value proposition canvases.

Diagram the Competition
Next, draw a competitive Petal diagram of competitors and adjacent market players.  Who’s already serving the users you’re targeting? Who are the companies you’re disrupting?

I’ve always thought of my startup as the center of the universe. So, put your company in the center of the slide like this.

In this example the startup is creating a new category – a lifelong learning network for entrepreneurs. To indicate where their customers for this new market would come from they drew the 5 adjacent market segments they believed their future customers were in today: corporate, higher education, startup ecosystem, institutions, and adult learning. To illustrate this they drew these adjacent markets as a cloud surrounding their company. (Unlike the traditional X/Y graph you can draw as many adjacent market segments as you’d like.)

Fill in the market spaces with the names of the companies that are representative players in each of the adjacent markets.

Strategy diagram
Finally, draw your strategy diagram – how will you build a repeatable and scalable sales process? What regulatory issues need to be solved? In what order?  What is step 1? Then step 2? For example, beg for forgiveness or ask for permission? How do you get regulators who don’t see a need to change to move? And do so in your lifetime? How do you get your early customers to advocate on your behalf?

I sketched out a sample diagram of some of things to think about in the figure below. Both The Fixer and Regulatory Hacking give great examples of regulatory pitfalls, problems and suggested solutions.

Politicians
If you read Tusk’s book The Fixer you come away with the view that the political process in the U.S. follows the golden rule – he who has the gold makes the rules. It is a personal tale of someone who was deep inside politics – Tusk was deputy governor of Illinois, Mike Bloomberg’s campaign manager, Senator Charles Schumer’s communication director, and ran Uber’s first successful campaign to get regulatory approval in New York. And he is as cynical about politicians as one can get. On the other hand, Regulatory Hacking by is written by someone who understands Washington—but still needs to work there.

Read both books.

Lessons Learned

  • Regulated markets have different rules and players than traditional Business-to-Business or Business-to-Consumer markets
  • Entering a regulated market should be a strategy not a disconnected set of tactics
    • You need to understand the Laws and Regulations on the federal, state and local levels
    • You and your board need to be in sync about the costs and risks of entering these markets
    • Strategic choices include: asking for permission versus forgiveness, public versus private battles
  • Most early stage startups don’t have the regulatory domain expertise in-house. Go get outside advice at each step

Is the Lean Startup Dead?

A version of this article first appeared in the Harvard Business Review

Reading the NY Times article “Jeffrey Katzenberg Raises $1 Billion for Short-Form Video Venture,” I realized it was time for a new startup heuristic: the amount of customer discovery and product-market fit you need to find is inversely proportional to the amount and availability of risk capital.

And while the “first mover advantage” was the rallying cry of the last bubble, today’s is: “Massive capital infusion can own the entire market.”


Fire, Ready, Aim
Jeff Katzenberg has a great track record – head of the studio at Paramount, chairman of Disney Studios, co-founder of DreamWorks and now chairman of NewTV. The billion dollars he just raised is on top of the $750 million NewTV’s parent company, WndrCo, has raised for the venture. He just hired Meg Whitman. the ex-CEO of HP and eBay, as CEO of NewTV. Their idea is that consumers will want a subscription service for short form entertainment (10-minute programs) for mobile rather than full length movies. (Think YouTube meets Netflix).

It’s an almost $2-billion-dollar bet based on a set of hypotheses. Will consumers want to watch short-form mobile entertainment? Since NewTV won’t be making the content, they will be licensing from and partnering with traditional entertainment producers. Will these third parties produce something people will watch? NewTV will depend on partners like telcos to distribute the content. (Given Verizon just shut down Go90, its short form content video service, it will be interesting to see if Verizon distributes Katzenberg’s offerings.)

But NewTV doesn’t plan on testing these hypotheses. With fewer than 10 employees but almost $2-billion dollars in the bank, they plan on jumping right in.

It’s the antithesis of the Lean Startup.  And it may work. Why?

Dot Com Boom to Bust
Most entrepreneurs today don’t remember the Dot-Com bubble of 1995 or the Dot-Com crash that followed in 2000. As a reminder, the Dot Com bubble was a five-year period from August 1995 (the Netscape IPO) when there was a massive wave of experiments on the then-new internet, in commerce, entertainment, nascent social media, and search. When Netscape went public, it unleashed a frenzy from the public markets for anything related to the internet and signaled to venture investors that there were massive returns to be made investing in anything internet related. Almost overnight the floodgates opened, and risk capital was available at scale from venture capital investors who rushed their startups toward public offerings. Tech IPO prices exploded and subsequent trading prices rose to dizzying heights as the stock prices became disconnected from the traditional metrics of revenue and profits. Some have labeled this period as irrational exuberance. But as Carlota Perez has so aptly described, all new technology industries go through an eruption and frenzy phase, followed by a crash, then a golden age and maturity. Then the cycle repeats with a new set of technologies.

Given the stock market was buying “the story and vision” of anything internet, inflated expectations were more important than traditional metrics like customers, growth, revenue, or heaven forbid, profits. Startups wrote business plans, generated expansive 5-year forecasts and executed (hired, spent and built) to the plan. The mantra of “first mover advantage,” the idea that winners are the ones who are the first entrants in their market, became the conventional wisdom of investors in Silicon Valley.“ First Movers” didn’t understand customer problems or the product features that solved those problems (what we now call product-market fit). These bubble startups were actually guessing at their business model and did premature and aggressive hype and early company launches and had extremely high burn rates – all predicated on an IPO to raise more cash. To be fair, in the 20th century, there really wasn’t a model for how to build startups other than write plan, raise money, and execute – the bubble was this method, on steroids. And to be honest, VC’s in this bubble really didn’t care. Massive liquidity awaited the first movers to the IPO’s, and that’s how they managed their portfolios.

When VC’s realized how eager the public markets were for anything related to the internet, they pushed startups with little revenue and no profits into IPOs as fast as they could. The unprecedented size and scale of VC returns transformed venture capital from a financial asset backwater into full-fledged player in the financial markets.

Then one day it was over. IPOs dried up. Startups with huge burn rates – building leases, staff, PR and advertising – ran out of money. Most startups born in the bubble died in the bubble.

The Rise of the Lean Startup
After the crash, venture capital was scarce to non-existent. (Most of the funds that started in the late part of the boom would be underwater). Angel investment, which was small to start with, disappeared, and most corporate VCs shut down. VC’s were no longer insisting that startups spend faster, and “swing for the fences”. In fact, they were screaming at them to dramatically reduce their burn rates. It was a nuclear winter for startup capital.

The idea of the Lean Startup was built on top of the rubble of the 2000 Dot-Com crash.

With risk capital at a premium and the public markets closed, startups and their investors now needed a methodology to preserve capital and survive long enough to generate revenue and profits. And to do that they needed a different method than just “build it and they will come.” They needed to be sure that what they were building was what customers wanted and needed. And if their initial guesses were wrong, they needed a process that would permit them to change early on in the product development process when the cost of changes was small – the famed “pivot”.

Lean started from the observation that you cannot ask a question that you have no words for. At the time we had no language to describe that startups were not smaller versions of large companies; the first insight was that large companies executed known business models, while startups searched for them. Yet while we had plenty of language and tools for execution, we had none for search.  So we (Blank, Ries, Osterwalder) built the tools and created a new language for innovation and modern entrepreneurship. It helped that in the nuclear winter that followed the crash, 2001 – 2004, startups and VCs were extremely risk averse and amenable to new ideas that reduced risk. (This same risk averse, conserve the cash, VC mindset would return after the 2008 meltdown of the housing market.)

As described in the HBR article “Why the Lean Startup Changes Everything,” we developed Lean as the business model / customer development / agile development solution stack where entrepreneurs first map their hypotheses about their business model and then test these hypotheses with customers in the field (customer development) and use an iterative and incremental development methodology (agile development) to build the product. This allowed startups to build Minimal Viable Products (MVPs) – incremental and iterative prototypes – and put them in front of a large number of customers to get immediate feedback. When founders discovered their assumptions were wrong, as they inevitably did, the result wasn’t a crisis; it was a learning event called a pivot— and an opportunity to change the business model.

Every startup is in a race against time. It has to find product-market fit before running out of cash. Lean makes sense when capital is scarce and when you need to keep burn rates low. Lean was designed to inform the founders’ vision while they operated frugally at speed. It was not built as a focus group for consensus for those without deep convictions.

The result? Startups now had tools that sped up the search for customers, ensured that what was being built met customer needs, reduced time to market and slashed the cost of development.

Carpe Diem – Seize the Cash
Today, memories of frugal VC’s and tight capital markets have faded, and the structure of risk capital is radically different. The explosion of seed funding means tens of thousands of companies that previously languished in their basement are getting funding, likely two orders of magnitude more than received Series A funding during the Dot-Com bubble. As mobile devices offer a platform of several billion eyeballs, potential customers which were previously small niche markets now include everyone on the planet. And enterprise customers in a race to reconfigure strategies, channels, and offerings to deal with disruption provide a willing market for startup tools and services.

All this is driven by corporate funds, sovereign funds and even VC funds with capital pools of tens of billions of dollars dwarfing any of the dollars in the first Dot Com bubble – and all looking for the next Tesla, Uber, Airbnb, or Alibaba. What matters to investors now is to drive startup valuations into unicorn territory (valued at $1 billion or more) via rapid growth – usually users, revenue, engagements but almost never profits. As valuations have long passed the peak of the 2000 Internet bubble, VC’s and founders who previously had to wait until they sold their company or took it public to make money no longer have to wait. They can now sell part of their investment when they raise the next round. And if the company does go public, the valuations are at least 10x of the last bubble.

With capital chasing the best deals, and hundreds of millions of dollars pouring into some startups, most funds now scoff at the idea of Lean. Rather than the “first mover advantage” of the last bubble, today’s theory is that “massive capital infusion owns the entire market.” And Lean for startups seems like some quaint notion of a bygone era.

And that explains why investors are willing to bet on someone with a successful track record like Katzenberg who has a vision of disrupting an entire industry.

In short, Lean was an answer to a specific startup problem at a specific time, one that most entrepreneurs still face and which ebbs and flows depending on capital markets. It’s a response to scarce capital, and when that constraint is loosened, it’s worth considering whether other approaches are superior. With enough cash in the bank, Katzenberg can afford to create content, sign distribution deals, and see if consumers watch. If not, he still has the option to pivot. And if he’s right, the payoff will be huge.

One More Thing…
Well-funded startups often have more capital for R&D than the incumbent companies they’re disrupting. Companies struggle to compete while reconfiguring legacy distribution channels, pricing models and supply chains. And government agencies find themselves being disrupted by adversaries unencumbered by legacy systems, policies and history.  Both companies and government agencies struggle with how to deliver innovation at speed. Ironically, for this new audience that makes the next generation of Lean – the Innovation Pipeline – more relevant than ever.

Lessons Learned:

  • When capital for startups is readily available at scale, it makes more sense to go big, fast and make mistakes than it does to search for product/market fit.
  • The amount of customer discovery and product-market fit you need to do is inversely proportional to the amount and availability of risk capital.
  • Still, unless your startup has access to large pools of capital or have a brand name like Katzenberg, Lean still makes sense.
  • Lean is now essential for companies and government agencies to deliver innovation at speed
  • The Lean Startup isn’t dead. For companies and government the next generation of Lean – the Innovation Pipeline – is more relevant than ever.
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