Fast Time in Three Horizon High

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

How to Survive in a World of Disruption – Innovation in Large Organizations

The team at Innovation Leader had me over to share some observations on how to survive in a world of disruption in large organizations.

It’s worth a listen – here.

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8:30: Not everyone is an innovator
15:15: How to find and foster innovation talent in your company

How to Keep Your Job As Your Company Grows

I know a change is going to come

If you’re an early employee at a startup, one day you will wake up to find that what you worked on 24/7 for the last year is no longer the most important thing – you’re no longer the most important employee, and process, meetings, paperwork and managers and bosses have shown up. Most painfully, you’ll learn that your role in the company has to change.

I’ve seen these transitions as an investor, board member and CEO. At times they are painful to watch and difficult to manage. Early in my career I lived it as an employee, and I handled it in the worst possible way.

Here’s what I wish I had known.


I had joined MIPS Computers, my second semiconductor company, as the VP of marketing and also took on the role of the acting VP of Sales. During the first year of the company’s life, I was a fireball – relentless in creating and pursuing opportunities – getting on an airplane at the drop of a hat to fly anywhere, anytime, to get a design win. I worked with engineering to try to find product/market fit (big endian or little endian?) and get the chip designed into companies building engineering workstations – powerful personal computers, all while trying to refine how to find the right markets, customers, and sales process. I didn’t get much sleep, but I was having the time of my life.

And after a year there was good news. Our rent-a-CEO was being replaced by a permanent one. Our chip was nearing completion, and I had convinced early lighthouse customers to design it into their computers. I had done amazing things with almost no resources and got the company on the radar of every tech publication and into deals we had no right to be in. I was feeling 10 feet tall. Everything was great… until the new CEO called me in for a chat.

I don’t remember much about the details, but I do remember hearing him tell me how impressed he was with what I had accomplished so far, then immediately the visceral feeling of shock and surprise when his next words were that now the company needed to scale, and I wasn’t the right person to do that… Wait! What??

For a minute I couldn’t breathe. I felt like I had been punched in the gut. How could that be?  What do you mean I’m not the right person??? Hadn’t he just listed all the great work I had done? He acknowledged it was a lot of progress but offered that it was a flurry of disconnected tactics without a coherent strategy. No one knew what I was doing, and I couldn’t explain why I was doing it when asked. “You’re just throwing stuff against the wall. That doesn’t scale.” I was speechless. Wasn’t that what the first year of a startup was supposed to be like?

Scrambling to save my job, I regained the power of speech, and asked him if I could be the person to take the company to the next level. And to his credit (which I only appreciated years later) he agreed that while he was going to start a search, I could be a candidate for the job. And to top it off he got me a coach to help me understand what taking it to the next level meant. In preparation I remember buying all the management books I could find and reading what little literature there was at the time about how small company management transitioned into a larger one.

And herein lies the tale….
I vaguely remember going to lunch with my coach, a nice white-haired “old guy” who was trying to help me learn the skills to grow into the new job. The problem was I had shut down. Even as we were meeting, I was obsessively thinking about the change in my role, my title and my status. “I don’t get it, I did all this work, and everything was great. Why does anything have to change?”  But I never shared any of how I felt with my coach. To do this day I am really embarrassed to admit that I have no idea what my coach tried to teach me over multiple lunches and weeks. As we went to lunch, all I could think about was me and how I was being screwed. I literally paid zero attention. In my righteous anger I was unreachable.

I shouldn’t have been surprised, but yet again I was, when a month later the CEO said, that the report from the coach said, “I had a long way to go”. The company was going to hire a VP of Marketing. I was devastated.

I quit.

It’s Not About Change – It’s About Loss
If you had asked me a decade later what had been going on in my head and why I handled this so badly, I would have simply said, that: 1) I was resistant to change, and that 2) I had made this all about me and never once considered that our new CEO was rightAll true – to a point.

It took me another decade to realize if I had been really honest with myself it wasn’t about fighting change at all. Heck every day something new was happening at our startup. I was agile enough to keep up with innumerable changes and I was changing lots of things myself. It was actually about something much more personal I wouldn’t admit to myself – it was that these changes made me fear what I was losing;

  • I felt a loss of status and identity – I had been judged inadequate to continue in my role and my stature and the value of my skills and abilities had dropped.
  • I felt a loss of certainty – I was now competing to hold a job I thought was mine forever in the company. At least that’s what I thought my business card said. Now I was adrift and didn’t know what the future held.
  • I felt a loss of autonomy – Up until now I used my best judgment of what was needed and I was doing what I wanted, when I wanted it. I was fine making up a strategy on the fly from disconnected tactics. Now we were going to have plans and a strategy.
  • I felt a loss of community – we had been a small tight team who had bonded together under extreme pressure and accomplished amazing things. Now new people who knew none of that and appreciated little of it were coming in. They had little trust and empathy with us.
  • I felt the process lacked fairness – no one had warned/told me that the job I was doing needed to change over time, and no one told me what those new skills were.

What was going on?
Researchers have found there’s a link between social connection and physical discomfort within the brain. “Being hungry and being ostracized activate similar neural responses because being socially connected is necessary for survival. Although a job is often regarded as a purely economic transaction, the brain experiences the workplace first and foremost as a social system.”

Looking back over the decades it’s clear that the new CEO was right. Even though these losses triggered something primal, I did need to learn discipline, pattern recognition, time management, separating the trivial from the important and the difference between tactics and strategy. I needed to learn to grow from being a great individual contributor to being a manager and then a leader. Instead I walked away from learning any of it.

I probably added five unneeded years to my career.

What should I have done?
Today it’s understood that all startups go through a metamorphosis as they become larger companies. They go from organizations struggling for survival as they search for product/market fit, to building a repeatable and scalable business model, and then growing to profitability. And we are all hard-wired for a set number of social relationships. This mental wiring defines boundaries in growing an organization – get bigger than a certain size, and you need a different management system. The skills needed from employees differ at each stage.

What I wish I knew was that if you’re an early company employee, it’s not likely that the skills you have on day one are the skills needed as the company scales to the next level. This sentence is worth reading multiple times as no one – not the person who hired you, the VC’s or your peers -is going to tell you when you’re hired that the company will likely outgrow you. Some (like your peers or even the founders) don’t understand it, and others (the VCs) realize it’s not in their interest to let you know. The painful reality is that products change, strategies change, people change…things have to change for your company to stay in business and grow.

What should my CEO have done?
When my CEO was explaining to me how the company needed to change to grow, he was explaining facts while I was processing deeply held feelings. The changes in the organization and my role represented what I was about to lose. And when people feel they’re going to lose something deeply important, it triggers an emotional response because change feels like a threat. It’s not an excuse for my counterproductive behavior, but explains why I acted out like I did.

Startup CEOs need to think about these transitions from day one and consider how to address the real sense of loss these transitions mean to early employees.

Loss of status? It’s almost impossible to take away a title from someone, give it to someone else and still retain that employee. Think hard about whether titles need to be formal (VP of Engineering, VP of Marketing, VP of Sales, etc.) before the company finds product/market fit and/or tens of people – as you can almost guarantee that these people won’t have those roles and titles when you scale.

Loss of Certainty? Startups and VC’s have historically operated on the “I’ll deal with this later” principle in letting early employees know what happens as the company scales. The common wisdom is that no one would want to work like crazy knowing that they might not be the ones to lead as the company grows. I call this the Moses-problem – you work for years to get the tribe to the promised land – but you’re not allowed to cross over. The company needs to give formal recognition for those individuals who brought the tribe to the promised land.

Loss of Autonomy? This is the time you and your employees get to have a discussion about the next steps in their career. Do they want to be an individual contributor? Manager of people and process? Special projects? These shouldn’t be random assignments but instead, offer a roadmap of possible choices and directions.

Loss of Community? Your original hires embody the company culture. Unless you have them capture the unique aspects of the culture, it will become diluted and disappear among the new hires. Declare them cultural co-foundersHelp them understand the community is growing and they’re the ambassadors. Have them formalize it as part of a now needed on-boarding process as the company grows. And most importantly, make sure that they are celebrated as the team that got the company to where it is now.

Loss of Fairness? Just telling employees “a change is going to come” it is not sufficient. What are the new skills needed when you scale from Search to Build to Grow – from tens to hundreds and then thousands of people? How can your existing employees gain those new skills?

Lessons Learned

  • VC’s, Founders and CEOs now recognize that startups grow through different stages: Search, Build and Grow
    • They recognize that employees need different skills at each stage
    • And that some of the original employees won’t grow into the next stage
  • But while these changes make rational sense to the CEO and the board, to early employees these changes feel like a real and tangible personal loss
    • Loss of Status and Identity
    • Loss of Community
    • Loss of Autonomy
    • Loss of Certainty
    • Loss of Fairness
  • CEOs need to put processes in places to acknowledge and deal with the real sense of loss
    • These will keep early employees motivated – and retained
    • And build a stronger company
  • For employees, how you handle change will affect the trajectory of your career and possibly your net worth

This post appeared in AngelList

Driven to Distraction – the future of car safety

If you haven’t gotten a new car in a while you may not have noticed that the future of the dashboard looks like this:


That’s it. A single screen replacing all the dashboard gauges, knobs and switches. But behind that screen is an increasing level of automation that hides a ton of complexity.

At times everything you need is on the screen with a glance. At other times you have to page through menus and poke at the screen while driving. And while driving at 70mph, try to understand if you or your automated driving system is in control of your car. All while figuring out how to use any of the new features, menus or rearranged user interface that might have been updated overnight.

In the beginning of any technology revolution the technology gets ahead of the institutions designed to measure and regulate safety and standards. Both the vehicle’s designers and regulators will eventually catch up, but in the meantime we’re on the steep part of a learning curve – part of a million-person beta test – about what’s the right driver-to-vehicle interface.

We went through this with airplanes. And we’re reliving that transition in cars. Things will break, but in a few decades we’ll come out out the other side, look back and wonder how people ever drove any other way.

Here’s how we got here, what it’s going to cost us, and where we’ll end up.


Cars, Computers and Safety
Two massive changes are occurring in automobiles: 1) the transition from internal combustion engines to electric, and 2) the introduction of automated driving.

But a third equally important change that’s also underway is the (r)evolution of car dashboards from dials and buttons to computer screens. For the first 100 years cars were essentially a mechanical platform – an internal combustion engine and transmission with seats – controlled by mechanical steering, accelerator and brakes. Instrumentation to monitor the car was made up of dials and gauges; a speedometer, tachometer, and fuel, water and battery gauges.
By the 1970’s driving became easier as automatic transmissions replaced manual gear shifting and hydraulically assisted steering and brakes became standard. Comfort features evolved as well: climate control – first heat, later air-conditioning; and entertainment – AM radio, FM radio, 8-track tape, CD’s, and today streaming media. In the last decade GPS-driven navigation systems began to appear.

Safety
At the same time cars were improving, automobile companies fought safety improvements tooth and nail. By the 1970’s auto deaths in the U.S averaged 50,000 a year. Over 3.7 million people have died in cars in the U.S. since they appeared – more than all U.S. war deaths combined. (This puts auto companies in the rarified class of companies – along with tobacco companies – that have killed millions of their own customers.) Car companies argued that talking safety would scare off customers, or that the added cost of safety features would put them in a competitive price disadvantage. But in reality, style was valued over safety.

Safety systems in automobiles have gone through three generations – passive systems and two generations of active systems. Today we’re about to enter a fourth generation – autonomous systems.

Passive safety systems are features that protect the occupants after a crash has occurred. They started appearing in cars in the 1930’s. Safety glass in windshields appeared in the 1930’s in response to horrific disfiguring crashes. Padded dashboards were added in the 1950’s but it took Ralph Nader’s book, Unsafe at Any Speedto spur federally mandated passive safety features in the U.S. beginning in the 1960’s: seat belts, crumple zones, collapsible steering wheels, four-way flashers and even better windshields. The Department of Transportation was created in 1966 but it wasn’t until 1979 that the National Highway Traffic Safety Administration (NHTSA) started crash-testing cars (the Insurance Institute for Highway Safety started their testing in 1995). In 1984 New York State mandated seat belt use (now required in 49 of the 50 states.)

These passive safety features started to pay off in the mid-1970’s as overall auto deaths in the U.S. began to decline.

Active safety systems try to prevent crashes before they happen. These depended on the invention of low-cost, automotive-grade computers and sensors. For example, accelerometers-on-a-chip made airbags possible as they were able to detect a crash in progress. These began to appear in cars in the late 1980’s/1990’s and were required in 1998. In the 1990’s computers capable of real-time analysis of wheel sensors (position and slip) made ABS (anti-lock braking systems) possible. This feature was finally required in 2013.

Since 2005 a second generation of active safety features have appeared. They run in the background and constantly monitor the vehicle and space around it for potential hazards. They include: Electronic Stability Control, Blind Spot Detection, Forward Collision Warning, Lane Departure Warning, Rearview Video Systems, Automatic Emergency Braking, Pedestrian Automatic Emergency Braking, Rear Automatic Emergency Braking, Rear Cross Traffic Alert and Lane Centering Assist.

Autonomous Cars
Today, a fourth wave of safety features is appearing as Autonomous/Self-Driving features. These include Lane Centering/Auto Steer, Adaptive cruise control, Traffic jam assist, Self-parking, full self-driving. The National Highway Traffic Safety Administration (NHTSA) has adopted the six-level SAE standard to describe these vehicle automation features:

Getting above Level 2 is a really hard technical problem and has been discussed ad infinitum in other places. But what hasn’t got much attention is how drivers interact with these systems as the level of automation increases, and as the driving role shifts from the driver to the vehicle. Today, we don’t know whether there are times these features make cars less safe rather than more.

For example, Tesla and other cars have Level 2 and some Level 3 auto-driving features. Under Level 2 automation, drivers are supposed to monitor the automated driving because the system can hand back control of the car to you with little or no warning. In Level 3 automation drivers are not expected to monitor the environment, but again they are expected to be prepared to take control of the vehicle at all times, this time with notice.

Research suggests that drivers, when they aren’t actively controlling the vehicle, may be reading their phone, eating, looking at the scenery, etc. We really don’t know how drivers will perform in Level 2 and 3 automation. Drivers can lose situational awareness when they’re surprised by the behavior of the automation – asking: What is it doing now? Why did it do that? Or, what is it going to do next? There are open questions as to whether drivers can attain/sustain sufficient attention to take control before they hit something. (Trust me, at highway speeds having a “take over immediately” symbol pop up while you are gazing at the scenery raises your blood pressure, and hopefully your reaction time.)If these technical challenges weren’t enough for drivers to manage, these autonomous driving features are appearing at the same time that car dashboards are becoming computer displays.

We never had cars that worked like this. Not only will users have to get used to dashboards that are now computer displays, they are going to have understand the subtle differences between automated and semi-automated features and do so as auto makers are developing and constantly updating them. They may not have much help mastering the changes. Most users don’t read the manual, and, in some cars, the manuals aren’t even keeping up with the new features.

But while we never had cars that worked like this, we already have planes that do.
Let’s see what we’ve learned in 100 years of designing controls and automation for aircraft cockpits and pilots, and what it might mean for cars.

Aircraft Cockpits
Airplanes have gone through multiple generations of aircraft and cockpit automation. But unlike cars which are just first seeing automated systems, automation was first introduced in airplanes during the 1920s and 1930s.

For their first 35 years airplane cockpits, much like early car dashboards, were simple – a few mechanical instruments for speed, altitude, relative heading and fuel. By the late 1930’s the British Royal Air Force (RAF) standardized on a set of flight instruments. Over the next decade this evolved into the “Basic T” instrument layout – the de facto standard of how aircraft flight instruments were laid out.

Engine instruments were added to measure the health of the aircraft engines – fuel and oil quantity, pressure, and temperature and engine speed.

Next, as airplanes became bigger, and the aerodynamic forces increased, it became difficult to manually move the control surfaces so pneumatic or hydraulic motors were added to increase the pilots’ physical force. Mechanical devices like yaw dampers and Mach trim compensators corrected the behavior of the plane.

Over time, navigation instruments were added to cockpits. At first, they were simple autopilots to just keep the plane straight and level and on a compass course. The next addition was a radio receiver to pick up signals from navigation stations. This was so pilots could set the desired bearing to the ground station into a course deviation display, and the autopilot would fly the displayed course.

In the 1960s, electrical systems began to replace the mechanical systems:

  • electric gyroscopes (INS) and autopilots using VOR (Very High Frequency Omni-directional Range) radio beacons to follow a track
  • auto-throttle – to manage engine power in order to maintain a selected speed
  • flight director displays – to show pilots how to fly the aircraft to achieve a preselected speed and flight path
  • weather radars – to see and avoid storms
  • Instrument Landing Systems – to help automate landings by giving the aircraft horizontal and vertical guidance.

By 1960 a modern jet cockpit (the Boeing 707) looked like this:

While it might look complicated, each of the aircraft instruments displayed a single piece of data. Switches and knobs were all electromechanical.

Enter the Glass Cockpit and Autonomous Flying
Fast forward to today and the third generation of aircraft automation. Today’s aircraft might look similar from the outside but on the inside four things are radically different:

  1. The clutter of instruments in the cockpit has been replaced with color displays creating a “glass cockpit”
  2. The airplanes engines got their own dedicated computer systems – FADEC (Full Authority Digital Engine Control) – to autonomously control the engines
  3. The engines themselves are an order of magnitude more reliable
  4. Navigation systems have turned into full-blown autonomous flight management systems

So today a modern airplane cockpit (an Airbus 320) looks like this:

Today, airplane navigation is a real-world example of autonomous driving – in the sky. Two additional systems, the Terrain Awareness and Warning Systems (TAWS) and Traffic Condition Avoidance System (TCAS) gave pilots a view of what’s underneath and around them dramatically increasing pilots’ situation awareness and flight safety. (Autonomy in the air is technically a much simpler problem because in the cruise portion of flight there are a lot less things to worry about in the air than in a car.)

Navigation in planes has turned into autonomous “flight management.” Instead of a course deviation dial, navigation information is now presented as a “moving map” on a display showing the position of navigation waypoints, by latitude and longitude. The position of the airplane no longer uses ground radio stations, but rather is determined by Global Positioning System (GPS) satellites or autonomous inertial reference units. The route of flight is pre-programmed by the pilot (or uploaded automatically) and the pilot can connect the autopilot to autonomously fly the displayed route. Pilots enter navigation data into the Flight Management System, with a keyboard. The flight management system also automates vertical and lateral navigation, fuel and balance optimization, throttle settings, critical speed calculation and execution of take-offs and landings.

Automating the airplane cockpit relieved pilots from repetitive tasks and allowed less skilled pilots to fly safely. Commercial airline safety dramatically increased as the commercial jet airline fleet quadrupled in size from ~5,000 in 1980 to over 20,000 today. (Most passengers today would be surprised to find out how much of their flight was flown by the autopilot versus the pilot.)

Why Cars Are Like Airplanes
And here lies the connection between what’s happened to airplanes with what is about to happen to cars.

The downside of glass cockpits and cockpit automation means that pilots no longer actively operating the aircraft but instead monitor it. And humans are particularly poor at monitoring for long periods. Pilots have lost basic manual and cognitive flying skills because of a lack of practice and feel for the aircraft. In addition, the need to “manage” the automation, particularly when involving data entry or retrieval through a key-pad, increased rather than decreased the pilot workload. And when systems fail, poorly designed user interfaces reduce a pilot’s situational awareness and can create cognitive overload.

Today, pilot errors — not mechanical failures– cause at least 70-80% of commercial airplane accidents. The FAA and NTSB have been analyzing crashes and have been writing extensively on how flight deck automation is affecting pilots. (Crashes like Asiana 214 happened when pilots selected the wrong mode on a computer screen.) The FAA has written the definitive document how people and automated systems ought to interact.

In the meantime, the National Highway Traffic Safety Administration (NHTSA) has found that 94% of car crashes are due to human error – bad choices drivers make such as inattention, distraction, driving too fast, poor judgment/performance, drunk driving, lack of sleep.

NHTSA has begun to investigate how people will interact with both displays and automation in cars. They’re beginning to figure out:

  • What’s the right way to design a driver-to-vehicle interface on a screen to show:
    • Vehicle status gauges and knobs (speedometer, fuel/range, time, climate control)
    • Navigation maps and controls
    • Media/entertainment systems
  • How do you design for situation awareness?
    • What’s the best driver-to-vehicle interface to display the state of vehicle automation and Autonomous/Self-Driving features?
    • How do you manage the information available to understand what’s currently happening and project what will happen next?
  • What’s the right level of cognitive load when designing interfaces for decisions that have to be made in milliseconds?
    • What’s the distraction level from mobile devices? For example, how does your car handle your phone? Is it integrated into the system or do you have to fumble to use it?
  • How do you design a user interface for millions of users whose age may span from 16-90; with different eyesight, reaction time, and ability to learn new screen layouts and features?

Some of their findings are in the document Human-centric design guidance for driver-vehicle interfaces. But what’s striking is that very little of the NHSTA documents reference the decades of expensive lessons that the aircraft industry has learned. Glass cockpits and aircraft autonomy have traveled this road before. Even though aviation safety lessons have to be tuned to the different reaction times needed in cars (airplanes fly 10 times faster, yet pilots often have seconds or minutes to respond to problems, while in a car the decisions often have to be made in milliseconds) there’s a lot they can learn together. Aviation has gone 9 years in the U.S. with just one fatality, yet in 2017 37,000 people died in car crashes in the U.S.

There Are No Safety Ratings for Your Car As You Drive
In the U.S. aircraft safety has been proactive. Since 1927 new types aircraft (and each sub-assembly) are required to get a type approval from the FAA before it can be sold and be issued an Airworthiness Certificate.

Unlike aircraft, car safety in the U.S. has been reactive. New models don’t require a type approval, instead each car company self-certifies that their car meets federal safety standards. NHTSA waits until a defect has emerged and then can issue a recall.

If you want to know how safe your model of car will be during a crash, you can look at the National Highway Traffic Safety Administration (NHTSA) New Car Assessment Program (NCAP) crash-tests, or the Insurance Institute for Highway Safety (IIHS) safety ratings. Both summarize how well the active and passive safety systems will perform in frontal, side, and rollover crashes. But today, there are no equivalent ratings for how safe cars are while you’re driving them. What is considered a good vs. bad user interface and do they have different crash rates? Does the transition from Level 1, 2 and 3 autonomy confuse drivers to the point of causing crashes? How do you measure and test these systems? What’s the role of regulators in doing so?

Given the NHTSA and the FAA are both in the Department of Transportation (DoT), It makes you wonder whether these government agencies actively talk to and collaborate with each other and have integrated programs and common best practices. And whether they have extracted best practices from the NTSB. And from the early efforts of Tesla, Audi, Volvo, BMW, etc., it’s not clear they’ve looked at the airplane lessons either.

It seems like the logical thing for NHTSA to do during this autonomous transition is 1) start defining “best practices” in U/I and automation safety interfaces and 2) to test Level 2-4 cars for safety while you drive (like the crash tests but for situational awareness, cognitive load, etc. in a set of driving scenarios. (There are great university programs already doing that research.)

However, the DoT’s Automated Vehicles 3.0 plan moves the agency further from owning the role of “best practices” in U/I and automation safety interfaces. It assumes that car companies will do a good job self-certifying these new technologies. And has no plans for safety testing and rating these new Level 2-4 autonomous features.

(Keep in mind that publishing best practices and testing for autonomous safety features is not the same as imposing regulations to slow down innovation.)

It looks like it might take an independent agency like the SAE to propose some best practices and ratings. (Or the slim possibility that the auto industry comes together and set defacto standards.)

The Chaotic Transition
It took 30 years, from 1900 to 1930, to transition from horses and buggies in city streets to automobiles dominating traffic. During that time former buggy drivers had to learn a completely new set of rules to control their cars. And the roads in those 30 years were a mix of traffic – it was chaotic.
In New York City the tipping point was 1908 when the number of cars passed the number of horses. The last horse-drawn trolley left the streets of New York in 1917. (It took another decade or two to displace the horse from farms, public transport and wagon delivery systems.) Today, we’re about to undergo the same transition.

Cars are on the path for full autonomy, but we’re seeing two different approaches on how to achieve Level 4 and 5 “hands off” driverless cars. Existing car manufacturers, locked into the existing car designs, are approaching this step-wise – adding additional levels of autonomy over time – with new models or updates; while new car startups (Waymo, Zoox, Cruise, etc.) are attempting to go right to Level 4 and 5.

We’re going to have 20 or so years with the roads full of a mix of millions of cars – some being manually driven, some with Level 2 and 3 driver assistance features, and others autonomous vehicles with “hands-off” Level 4 and 5 autonomy. It may take at least 20 years before autonomous vehicles become the dominant platforms. In the meantime, this mix of traffic is going to be chaotic. (Some suggest that during this transition we require autonomous vehicles to have signs in their rear window, like student drivers, but this time saying, “Caution AI on board.”)

As there will be no government best practices for U/I or scores for autonomy safety, learning and discovery will be happening on the road. That makes the ability for car companies to have over-the-air updates for both the dashboard user interface and the automated driving features essential. Incremental and iterative updates will add new features, while fixing bad ones. Engaging customers to make them realize they’re part of the journey will ultimately make this a successful experiment.

My bet is much like when airplanes went to glass cockpits with increasingly automated systems, we’ll create new ways drivers crash their cars, while ultimately increasing overall vehicle safety.

But in the next decade or two, with the government telling car companies “roll your own”, it’s going to be one heck of a ride.

Lessons Learned

  • There’s a (r)evolution as car dashboards move from dials and buttons to computer screens and the introduction of automated driving
    • Computer screens and autonomy will both create new problems for drivers
    • There are no standards to measure the safety of these systems
    • There are no standards for how information is presented
  • Aircraft cockpits are 10 to 20 years ahead of car companies in studying and solving this problem
    • Car and aircraft regulators need to share their learnings
    • Car companies can reduce crashes and deaths if they look to aircraft cockpit design for car user interface lessons
  • The Department of Transportation has removed barriers to the rapid adoption of autonomous vehicles
    • Car companies “self-certify” whether their U/I and autonomy are safe
    • There are no equivalents of crash safety scores for driving safety with autonomous features
  • Over-the-air updates for car software will become essential
    • But the downside is they could dramatically change the U/I without warning
  • On the path for full autonomy we’ll have three generations of cars on the road
    • The transition will be chaotic, so hang on it’s going to a bumpy ride, but the destination – safety for everyone on the road – will be worth it

Why Founders Need a Moral Compass

I’ve been thinking why the ethical boundaries of todays founder/VC interactions feel so different then they did when I was an entrepreneur. I’ve written about the root causes in an HBR article here and an expanded version here. Worth a read.

Stanford eCorner captured a few minutes of what I’ve been thinking in the video below.

If you can’t see the video click here

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
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