Cost is King

I recently listened to an a16z podcast about disruption theory. I’m a big fan of the theory and have been thinking a lot about it lately. The most important facet of the theory is cost.

Incumbents are disrupted because their cost model - typically measured by gross margin - is too high. When a smaller company devises a way to deliver the same value as an incumbent with a lower cost structure, disruption can occur. Thus the key to disruption is cost, or rather reducing cost.

Although we like to think about innovation in terms of novelty - think electricity, airplanes, or computers - the history of technological development over the course of human history can be more cohesively understood as a systematic removal of cost. Very few innovations were truly novel along a dimension other than cost.

For example, airplanes dramatically reduced the cost of long distance travel. However, human didn’t need airplanes to travel long distances. Millions of people travelled across large swaths of land and sea over the course of human history without planes. Airplanes just made long distance travel much more economical. I don’t mean to understate the power of this particular cost reduction - planes substantially changed how frequently humans could travel long distances, which has shaped every facet of business and personal life across the planet.

Even computers can be described through the same lens. Travel agents did what Kayak does. Telephone operators did what computers do. Analysts do what SaaS dashboards do. Uber drives do what computers will soon do. Because computers are programmed by humans, computers can only do what humans instruct computers to do. Through this lens, computers can be recognized as infinitely cheap “humans.” Electricity, silicon, and software costs pale in comparison to paying people’s wages - and thus mortgages, cars, meals, clothes, etc.

It thus stands to reason that the best businesses are those that methodically remove cost. Business cases to justify new innovations are by definition more compelling the more significant the financial impact of the innovation. For most companies, the largest source of cost is human labor. Thus the largest opportunities in business will be those in which technology can automate what humans used to do.

This notion that cost is the central challenge in humanity is perhaps best described by this quote by Jeff Bezos, founder and CEO of Amazon. “There are two kinds of companies, those that work to try to charge their customers more and those that work hard to charge their customers less. We will be the second.”

Cost is indeed king.

If It Can't Be Said In One Sentence, It's Not Clear

The most important thing I’ve learned in my 2.5 years since starting Pristine is the power of clarity. Looking back, it blows my mind how unclear I was with all of our stakeholders - employees, customers, and investors - and even myself in my first year.

I see a similar lack of clarity when I speak with super-early stage first time founders. There’s a simple litmus test to determine clarity:

If it can’t be said in one sentence, it’s not clear.

So my advice to early stage entrepreneurs is to have a one sentence answer to all of the following questions:

  1. Besides raising capital, what are the 3 most important things that you need to accomplish in the next 6 months?
  2. What are are the ideal strengths of your first 5 employees?
  3. Based on the amount of capital you want to raise and assuming no revenue, how much runway do you have?
  4. Are you default alive, or default dead?
  5. What does your business do?
  6. Why does your business exist?
  7. Why are you going to be better than the next best alternative?
  8. Why won’t the next best alternative copy and kill you?
  9. How big is the market? Please provide a bottoms-up analysis.

Autonomous Cars Break Uber

As Bill Gurley (General Partner at Benchmark and board member of Uber) notes, Uber will be the dominant player in the ride-hailing business. Why? Because Uber’s business model is predicated on localized marketplaces of supply and demand for drivers. These localized marketplaces create strong network effects and “winner-take-most” markets.

The localized network effects are built on local liquidity of supply and demand for drivers and riders. This can be best summed up by this image that Gurley features in his post.

With this model driving Uber’s meteoric rise, tech pundits from Benedict Evans to Ben Thompson are asking the natural next question: What does the self-driving car mean for Uber?

The thing is…self-driving cars break Uber.

Indeed, with self-driving cars, we can just replace the “more drivers” element of the cycle with “more autonomous cars.” Drivers are intrinsically temporary. They are just people. They eat, breathe and sleep. They drive when they want to drive, and don’t drive when they don’t want to drive.

Autonomous vehicles are not temporary. Rather, they are permanent. Once they are on the road, they are available 97+ percent of the time to service riders (3 percent for gas, inspections, repair, etc.).

Autonomous vehicles break the “marketness” that makes Uber a market of drivers and riders. Supply will massively outstrip demand as vehicles become available 24/7 at dramatically lower marginal cost.

Autonomous vehicles will be much cheaper than human-driven vehicles. Today, humans are taking home 80 percent of the revenue (Uber the other 20 percent). Of that 80 percent, perhaps 30 percent is paid out for gas and vehicle maintenance, costs that autonomous vehicles must also incur. Thus, human drivers are taking home about 50 percent of the revenue they bring in; 20 percent goes to Uber, and 30 percent is the cost of servicing riders.

As Jeff Bezos of Amazon says, “Your margin is my opportunity.” Moreover, as Benedict Evans of A16Z notes, autonomous vehicles will be designed differently, with fewer features, thus making them even cheaper than cars that human drivers are using today to transport riders. With economies of scale, it therefore seems plausible that autonomous vehicles will be 60 percent cheaper than human-driven vehicles, even if Uber maintains its gross profit per ride.

Let’s return to Uber’s virtuous cycle. As outlined by Gurley, if we substitute “more drivers” with “more autonomous vehicles” and “lower prices” with “way lower prices,” it appears that the “market” breaks. You could argue that an aggressive company could accomplish the same task now by simply paying drivers a flat hourly fee, even if there’s no demand — but it doesn’t make any sense to do that because drivers are intrinsically temporary. Paying drivers now doesn’t mean drivers will service riders later.

On the other hand, paying for a car now, even if it’s underutilized, doesn’t mean it won’t be utilized in the future. Moreover, the marginal cost of a car sitting in park two miles from downtown approaches $0.

If it’s indeed possible to ever break Uber’s lock on the market, the shift to autonomous vehicles will be the disruptive force that enables someone else to win by beating Uber on asymmetric terms. Being first to market with the right vehicle will be paramount. Even a one-year head start could dramatically change the market dynamics now that Uber and its rivals have educated the market.

Google is best suited to productize autonomous cars for ride-hailing. Google invested in Uber and thus has access to useful, confidential information about the ride-hailing business; Google has the best mapping solutions in the world, the most advanced automated driving solutions and the first vehicles designed from the ground up to be autonomous. It’s hard to imagine any company that’s better poised to capitalize on this opportunity to break Uber’s impending monopoly.

However, as Benedict Evans notes, self-driving technology will commoditize. Given that Google is financing most of the R&D and their history with Android, it’s probable that Google wants to commoditize autonomous vehicles. At some point, it will not make sense for a single corporation to finance tens or hundreds of billions of dollars of assets. Rather, banks or public markets should finance these assets. It will be interesting to see.

P.S. Google named “Google Drive” a little bit too soon.

The Power of One

Over the last two years, I’ve learned an incredible amount about… well everything. Hiring, firing, raising money, selling, marketing, etc. But the most important thing I’ve learned is more meta than a specific functional area, tactic, or unique challenge. Rather, the most important thing I’ve learned is how to manage my time and the company’s priorities.

Jason Cohen from WP Engine does an excellent job explaining this idea with a specific emphasis on growth. But he’s right. A startup can focus on only one priority at a time. I didn’t absorb the magnitude of this statement until recently. But it’s really true. The business has to have a single, unilateral, unwavering focus, and everything in the business should be aligned around that. The opportunity cost of focus is tremendous. A single goal aligns the entire company and provides clarity to everyone.

What I’m proposing here isn’t novel. It’s just focus. But focus isn’t enough. Focus is ambiguous and soft. “One,” on the other hand, is concrete. There can only be one “one,” as the name would imply :).

Do Next Generation Reimbursement Plans Align with Healthcare’s Business Models?

This post was originally featured on HIT Consultant.

In The Innovator’s Prescription, Clayton Christensen identifies one of the core problems in healthcare delivery: a mix of intertwined business models that create massive operational overhead and inefficiency. He describes three distinct business models in hospitals.

Healthcare’s 3 Distinct Business Models

1) Diagnostics and non-linear treatments – the process of diagnosing and treating many complex patients is a non-linear process. There are often many unknowns that cannot be predicted or understood without sophisticated testing and experimentation. With enough time, money, and energy, physicians can usually diagnose and treat the problem.

Christensen compares the diagnostic and treatment business to the strategy consulting business. Strategy consultants are rarely paid based on outcome, but rather based on the time and energy they put into solving the problem at hand. Consultants can’t guarantee an outcome on a pre-determined schedule because they simply can’t understand the depth of the problem prior to committing to solving it. They rely on specialized training to determine the root cause of problems and devise elegant solutions that balance the needs of all stakeholders.

2) Repeatable, known procedures – unlike the diagnostics described above, there is a massive sector of medicine that is highly knowable and repeatable. Physicians can guarantee outcomes for many procedures because the diagnostics and treatments are extremely well understood and formulaic. Providers can diagnose quickly against explicit, easily measurable criteria. With a well understood diagnosis in hand, providers can prescribe a treatment plan, and patients verify everything independently online; patients don’t need to rely on their physicians prescription, although many do. This is particularly common in surgery, as well as many office based procedures and cosmetics. Using Dr. Google, patients already do this today en masse. Dr. Google helps patients keep providers in check.

Christensen compares the procedural medicine business to the manufacturing business. Factories guarantee 99.X% of the widgets they produce will come out to spec. They even typically warrant that the widget will work for at least Y days, and offer refunds in the case of failure. Manufacturing businesses take a set of inputs and guarantee a set of outputs at a known cost. Similarly, many treatments have knowable inputs – the patient, diagnosis, and tools for the treatment – and can guarantee results with precision.

3) Wellness and chronic disease management – most of the attention and innovation happening in healthcare today revolves around wellness and chronic disease management. The premise of this business model is predicated on tracking and understanding one’s health on an ongoing basis to make better lifestyle decisions to avoid interacting with business models #1 and #2 described above.

The fundamental problem with chronic condition management is assuring adherence to the prescribed therapies. Most patients unfortunately don’t adhere to the prescribed policies that are intended to – and are generally effective at – preventing costly hospitalizations. Thus, the challenge of chronic condition management is really one of behavior modification and change. The most effective therapies for behavior change have been social in nature. Patient networks such as PatientsLikeMe, Alcoholics Anonymous, and others have proven extremely successful in changing behaviors at scale.

Unfortunately, healthcare insurers today don’t financially support and providers rarely prescribe these programs. Thus patients who need a chronic disease management system are forced to interact with a system that’s designed to treat acute conditions.

Christensen compares the chronic management business to other online-enabled networks such as eBay. The goal of the marketplace provider is to ensure rich, dynamic, and meaningful interaction between the market participants to maximize mutual value for both sides of the marketplace. If the marketplace provider fails to facilitate interaction, the market fails.

Do changing reimbursement models align with the underlying business models?

Providers are increasingly assuming risk for patient outcomes. There are a number of reimbursement models that allow providers to assume risk – capitation, bundled payments, shared savings, and more. Do these reimbursement align with the underlying business operations? Remarkably, the answer is “yes.” Below I’ll provide a broad description of the reimbursement models that the Center for Medicare and Medicaid Services (CMS) has authorized, and how each of those models works with the operational business models outlined above.

Shared saving models are reimbursement models in which providers bill in a traditional fee-for-service model. However, at the end of a given time period, typically 3 months, providers compare their billings with a predetermined benchmark given the risk-pool and size of the population they’ve been treating. If the provider bills less than the benchmark, the provider shares in some percentage of the savings (the insurance carrier – in many cases Medicare or Medicaid – shares the remainder).

Bundled payments is a model in which providers received a fixed payment for all care associated with a given episode of care. If the patient has complications or requires extra care as a result of the procedure, the provider must incur all of the costs associated with that care without additional reimbursement.

Capitation models are models in which providers receive a fixed amount of capital per patient per month that providers must care for. The rate is adjusted to accommodate for the risk associated with the patient population and regional differences in costs. Integrated delivery networks (IDNs) such as Kaiser Permanente and Geisinger are among the few delivery models that have achieved global – or in other words, 100% – capitation because they are both insurers and providers. Let’s revisit our three healthcare business models:

1) Diagnostics and complex treatments – it’s always been difficult to account for risk in consulting businesses. After all, the premise of consulting is to solve a challenging, not-yet-fully understood problem. Shared savings models are aligned with the consulting model. Shared savings models* accommodate the intrinsic risk associated with consultancy by not forcing providers to take on risk they can’t control for, but at the same time create upside opportunity for innovative providers who excel in diagnostics and complex treatments.

2) Repeatable, known procedures – bundled payments align incentives for knowable episodes of care. Bundled payments are analogous to warranties that come with widgets that factories produce. If the widget is bad for some reason, the manufacturer warrants that they’ll provide a new widget at no cost to the consumer. Similarly, bundled payments create incentives for providers to find ways to lower costs, improve efficiencies, and ensure repeatable, scalable quality. This model encourages quality and scale, enabling profitable privatization without fear of rationing and unethical, short term profitability-centric thinking. If there are complications, the provider must address the complications without any additional reimbursement. This model incentivizes providers to deliver high quality results every time. Patients win in a big way in this model.

3) Wellness and chronic disease management – capitation aligns with this model reasonably well, although capitation is plagued with a number of intrinsic incentive problems: capitation models create incentives for providers to fight with one another over the distribution of payments; capitation models also create incentives to ration care to achieve desired financial return. On the other hand capitation models create incentives for providers to pro-actively monitor and care for patients to help patients lead healthier lives and use fewer healthcare resources. If providers can work with patients change behavior to adhere to clinical prescriptions, hospitalizations can be avoided. In turn, providers, as the patients’ guide through the support groups and functions, can reap material financial reward.

It appears that the leadership at CMS has read Christensen’s writing. They’ve created reimbursement models that align with the three major business models present in healthcare delivery.

If only it were that easy.