Second only to growing quickly, I think the best thing a company can do to have a strong culture is to have a promotion culture.
A “promotion culture” is one that, as often as possible, orients itself towards internal promotions and steep internal career trajectories.
Companies that scale quickly by definition need to hire lots of people from the outside, and many of those will be leadership roles. So what I’m talking about isn’t something that’s all or nothing, but rather about defaults; knowing that there will always be a mix of internal promotions and external hires, what is your orientation?
My experience is that having a promotion culture gives companies tons of advantages.
Having a promotion culture gives you two critical edges in hiring. First of all, if you know that you’re a company that biases towards promotions, you have to be especially careful in the hiring process to filter for slope over experience, which turns out to almost always be more important for startup employees.
The second hiring advantage is that it’s much easier to attract people when your company has a strong history of promotions. Having lots of examples of great career arcs at your company goes a long way towards attracting ambitious candidates.
A company with frequent promotions also has lots of advantages in managing employees. You hold onto great employees for much longer periods of time, and they’ll be much more engaged while they’re with you. It energizes people to see growth for themselves and for the people around them, and it creates a positive-sum mindset: as the company grows, everyone grows.
A promotion culture lets you capitalize on your “people secrets”. Startups are in the business of betting on great but undiscovered talent; because your company is still unproven, the best way for you to get great people is to find great people who also happen to be unproven. Once you’ve hired someone like this and you know they’re great, you have asymmetric information relative to the rest of the hiring market. Rather than *taking advantage* of this by underpaying or undertitling, it’s much more valuable to *capitalize* on it by investing in them with conviction. These are the situations when you get to take sure-fire bets on people you know are great, rather than rolling the dice with new hires, which may or may not work out the way you hope. There is a grass-is-always-greener cognitive bias where people tend to underestimate the caliber of their own talent.
Finally, a promotion culture forces you to have better management hygiene. It requires you to start with a long term approach to your employee relationships, and to make investments as though the relationships are long and repeated games. This mindset will cause you to create better relationships with employees and to be a better manager, which will create somewhat of a self-fulfilling prophecy.
Hopefully these arguments persuade you to try and move your promote vs. hire defaults in the favor of more promotions.
There are a few noteworthy caveats worth mentioning. One is for very senior, very broad executive roles, you will often want to bring in external talent who have led through a scale beyond what you’re currently experiencing. The other is companies where the growth is truly breakneck, in which cases very few people can hope to grow at the rate of the company and so this approach may set people up to fail.
Lastly, it’s worth noting that when promotions don’t make sense, companies can get many of the same benefits by helping people make lateral moves, such as a transition from marketing to product.
]]>Since starting Lattice in 2015 we've hired about 130 people. I've come to believe that one of the most underrated secret weapons for hiring is reference checks. Reference checks done well can contain real signal that can help you avoid making costly mistakes (either false positive or false negative).
People don't do reference checks enough because 1) most people are somewhat lazy and 2) they don’t think there’s enough signal to make it worth it. But the truth is references don’t take that long (especially compared to the countless hours you’ll waste if you make the wrong hire) and, more importantly, reference checks can be an extremely valuable part of your candidate evaluation process because they can distill years of data that you simply can’t reproduce in even the longest of interview processes.
So do reference checks and consider them a core part of your evaluation process. Here are the steps I've used:
Set expectations with the candidate
Let the candidate know that the final part of the process is reference checks so it's not a surprise when you ask for them. This doesn't have to be weird; usually during the first interview or while scheduling a second you'll lay out the steps, so just include this there. E.g., "Next steps are a meeting with X and Y, and if that goes well, we'll schedule a half-day onsite. From there the final step is reference checks and role scoping with your would-be manager."
Get a mix of provided and backchannel references
When you're near the end of the interview process, ask the candidate for 3-5 references. Ask for the list to contain people they've worked with in different relationships (a manager, a direct report, a peer, etc.), and ideally in different contexts within a company or at different companies. The closer they've worked together the better. Ideally, you’re looking to speak with people who have a strong business relationship but a weak personal relationship, since those are the people with the most referenceable content and the least partiality. In practice this is hard to find, and that’s okay.
Let the candidate know that you'll also do a couple of backchannel references, but check to make sure there aren't any off-limits groups. Frequently, the candidate won't have told their employer they're looking, in which case doing a backchannel reference with a current colleague could do real damage. Don't do this. But backchannel references can be an important part of getting a full picture on what a person is like to work with, especially with more senior candidates with longer work histories.
Running the calls
Generally, I've found 10-15 minutes is enough time for these calls. You don't need much small talk or tons of questions, but rather just some clear context setting and a few direct, important questions. Here's the basic format I use:
Thank them for taking the time. Quickly explain what your business does, and give a little background on your stage and the general state of affairs.
Tell them about the role you're recruiting for. Describe what you think the job will be like, why you're hiring it, and what kind of person you think you're looking for.
I start by asking them to tell me about how they know the candidate, in what capacity did they work together, and a bit of context on the nature of their working relationship.
Then I ask specific questions based on 1-3 areas where I most want to learn more. This might be ability to thrive in a startup environment, cultural / stylistic questions, management ability, technical proficiency, or whatever else. I usually pick a small number of areas so I can ask about each topic in multiple ways, kind of like those surveys where you're asked nearly the same question over and over. It feels strange when you're asking these, but it really does help get you closer to the truth.
Wrap up by asking general questions to try and gauge how strongly they feel about the candidate. Questions like, "Is this person in the top half, quarter, or decile of everyone you've worked with?" or "Do you think we would be crazy to pass on this candidate?" or "If you were starting a new company or team would this person be your first hire for the role?" are good types of questions to help you get a sense of whether the person thinks the candidate is solid, great, or truly exceptional.
What you're looking for
On a reference call, the normal rules of interaction are slightly altered. You don't all of a sudden assume people aren't being honest, but you do discount the strength of assertions by a couple notches from what you might in a normal conversation.
This isn't because you don't trust people, it's simply because people tend to like the people they've spent a lot of time with, the stakes are high since a potential job is on the line, and the cost of embellishing is zero since the referencer frequently doesn't know you or necessarily expect to interact with you again. Think about what you'd say on a call about a colleague you knew well and liked, but who was a solid, not exceptional, performer. You'd probably be generous.
You're looking for very strong signal. If you ask them if they're in the top half, quarter, or decile of people you've worked with, you're hoping for an answer along the lines of "top 1-5%". If you ask them if they think you'd be crazy to pass on a candidate, you're hoping for something like "completely crazy. And if they do join please call me so I can apply too."
When referencing our VP of Product, one of the referencers didn’t know the candidate was looking and clearly start trying to feel out whether or not she could try to hire him. And when referencing our head of customer success, her former CEO’s answer to the “what percentile” question was “no percentile, this is the number one person I’ve worked with.”
Obviously, you won't always get such a strong answer, and that doesn't mean you shouldn't hire the person. But directionally I wanted to illustrate the type of answers you're ideally looking for.
]]>Founding a startup requires a relatively high performance in a large number of relatively unrelated areas. Besides being good enough at product and problem solving to make something people actually want, you also have to be good enough at hiring, managing, fundraising, sales, marketing, culture-building, and much more. Not to mention specific areas of expertise you might need to master depending on your domain such as security, supply chain management, manufacturing, or whatever else applies. And especially not mentioning the skill of managing your own psychology well enough to guide your team through the years of inevitable ups and downs.
This is one of the reasons I think having some work experience is so helpful before starting a company. You don't need to wait until you've acquired every possible skill before starting a company, but if you're already proficient in multiple of these areas before you get started you have that much less to learn on the job.
It's also one of the reasons I've come to believe that more startups should hire a COO than probably do. Of course they will not be right for every company -- maybe not even most companies -- but my current view is that every startup that reaches product market fit [1] should at least consider whether it's right for them.
COOs are a poorly understood role, both because they do different things at different companies, and because people simply don't talk about them that much (although there is definitely good content out there like this video with Keith Rabois and this interview we did with Claire Hughes Johnson).
Our experience hiring a COO early at Lattice
I want to share my very positive experience with hiring a COO so others can consider whether a similar role would make sense in their situation.
We hired J Zac Stein, former VP of Operations at Zenefits, as our COO in November 2017 when we were just over 20 people. The idea was that he would be a general purpose business athlete who could run a function for a while, build up a strong foundation, leave it with great leadership, and then move on to the next thing. An executive "gap filler", as Elad Gil described in a recent blog post advocating for something similar.
In the 6 months since he's joined, here's what he's done:
So he's served as multiple VP functions, both at once and over time. Arguably, a dedicated VP in each area would do slightly better because they wouldn't be spread so thinly and would be a functional expert. There is some truth in that, but it comes at the cost of countless hours of hiring, integrating into the team, managing multiple personalities, and other related trade-offs. And potentially more importantly, the "executive gap-filler" role allows for much faster adjustment of organizational structure, strategy and tactics, and all sort of other organizational frictions you get with VPs who were hired on for a more specific purpose. When you're still early in your company's life, this flexibility is extremely valuable.
Part of the reason people don't hire COOs early is that it's simply not on the list of hires we're taught to consider. Everyone knows that early on you hire engineers and designers to build the product, sales reps and marketers to bring customers on board, and people to support your existing customers. As you start getting traction and grow your team, you hire managers, and as things become more complex and strategic you hire VPs.
But there is less canonical knowledge and public discussion about the COO role, and a result founders often just don't even think about whether it's right for their company or not.
The other main reason is that people are often anxious about hiring roles with so much influence. Whether it's because of the sense of loss of control and influence, the fear of getting the hire wrong, or the relatively high expense of hiring a COO, there are many of these kinds of anxieties that give founders pause.
Yes, nothing in life is totally free and you will have to give up something to have this kind of person on your team. But great people pay for themselves many times over, great COOs know how to make their CEOs comfortable with their broad scope, and if things truly don't work you should trust yourself to make the difficult but necessary decision to part ways.
Great leaders are supposed to hire great people and give them lots of responsibility [2]. That's your most important job. It's how you scale and it's what's required in order to build something great.
One final thought for founders considering this role (or other very senior roles) is to remember the human truth that the more ownership and responsibility you give someone, the more they're going to care. Being a founder can be a lonely job, and bringing on an executive who grows to deeply care about your company makes the job a little less lonely.
[1] My favorite working definition of product market fit is the ability to hire a stranger who can sell your product to another stranger in a repeatable way. YMMV but this framework has been helpful for me.
[2] As an aside, I think people are often afraid of hiring people truly great people and giving them lots of control and responsibility. This is an especially common pitfall for first-time managers who are afraid that if they hire and enable someone who is too good at their job they will lose their job to them. In practice this never happens, and the exact opposite is the case; the hallmark of a great manager is someone who builds and empowers a great team, and anyone who knows what they're doing will evaluate a manager that way.
]]>The other day, my uberX driver told me that he'd been unemployed for almost a year. He started driving last month, and now he can pay his rent and work whenever he wants. A friend of mine makes his living as a full time renter on Airbnb, effectively acting like a hotel while he travels around world with the profits. At Teespring, some of our most successful sellers are programmers who left their high-paying jobs because the opportunity to build their own business on top of Teespring was more appealing.
There's an interesting link between many successful startups that gets surprisingly little attention. It was a foreign concept before the rise of the internet, and now I believe it is one of the driving forces behind the growth of Airbnb, Uber, Teespring, Postmates, Patreon, Verbling, and many more.
Companies can now empower people to create their own jobs.
This is a huge deal and has major implications. Job creation gives employees their livelihood, it gives companies champions who fight to make them succeed, and it gives economies legs to stand on.
For employees, it used to be the case that to get a job, you had to be hired; now you don't. Companies now have the ability to create jobs not only internally but externally, and they can increase the size of their workforce much more quickly.
At Teespring we have just over 100 employees, but hundreds of sellers are making their living with our product, and thousands more are getting close. Uber is creating 20,000 jobs per month, a rate of expansion that simply wouldn't be possible with normal hiring models.
Creating jobs across platforms
Perhaps even more interestingly, there is also a way to empower people to create their own jobs even when it’s not all about your own platform. While the companies mentioned above are built on the users who make it their full-time business to sell services through the platforms, it is also possible to create jobs for users on other platforms.
Consider companies like Instagram, YouTube, and Wordpress; the very top creators on these platforms certainly make good livings, but the majority of them don't. Figuring out how to give more of these users the ability to earn money is a massive opportunity, and unlocking this potential will establish a new degree of engagement on these platforms. The companies that figure out how to help users on these platforms turn their passion into profession will do very well.
Creating jobs is a powerful force, and the rise of ubiquitous and mobile connectivity has given companies an entirely new ability to create jobs remotely and scalably. The companies that see the power in this and figure out how to leverage it will do well.
]]>It seems like almost every day now I see someone who believes we are in the midst of tech bubble (a world in which companies are valued far above their true worth). The most common arguments people mention are 1) startup valuations are massive and dissociated from underlying value 2) public technology companies are overpriced, and 3) MBA-types are moving to Silicon Valley to get a piece of the gold rush. In this post I will address each of these points and argue that we are not in a bubble.
Startup valuations are too high
Argument: Nosebleed startup valuations are the most commonly cited indication that we are in a bubble. Airbnb and Dropbox are valued at $10 billion each. Snapchat and Pinterest are valued at $4 billion each and they don’t even have revenue. Facebook bought Oculus for $2 billion before consumers could even get their hands on the product. Whatsapp is just a joke.
Most people have become comfortable with the idea that even though young startups are likely to fail, seemingly high valuation can be reasonable if there’s a sufficiently likelihood of success. Early stage venture investing follows a power law, and the billion dollar outcomes can justify valuations for a whole set of startups. This is why two founders with an idea and a prototype can raise money at a $5 million valuation; early stage startups are treated as part of a basket.
For mature companies like Microsoft, valuation is best understood on an individual company basis, as a discounted stream of future cash flows. Huge companies trade at a reasonable multiple of their earnings because dramatic growth is typically out of the question.
I believe the mental error here is categorization. When people criticize multi-billion dollar valuations, they are bucketing them alongside mature public companies, when really they should still be considered as a basket that will follow a power law of outcomes. The right question is not “is Snapchat worth $4 billion?”, but rather, “is there a 10% chance Snapchat is worth $40 billion?” [1].
We live in a world with over 1.5 billion smartphones and more sophisticated technology than ever before, which means startup potential is greater than ever. When you combine this with an understanding of these companies as part of an overall basket, multi-billion dollar startup valuations seem reasonable.
Public markets are overpriced
Argument: Tech high-flyers like LinkedIn and Netflix are trading at hundreds of times their earnings. We are seeing the most new tech IPOs since the tech bubble in 1999, and many of them are for companies that are quickly burning cash. The NASDAQ is closing in on its all-time highs from 1999 bubble, and the small-cap tech stocks are at some of their highest P/E ratios ever.
There is some truth here; tech stocks are expensive right now by any measure. However, that doesn’t mean they’re overpriced.
While it’s true that younger smaller tech companies are richly priced, the mature tech companies like Microsoft, Google, Apple, Cisco, Yahoo, etc. are trading at very reasonable levels. Also, younger, struggling companies like Groupon, Zynga, and King have stock prices that reflect their situations.
Investors are evaluating each company on an individual basis and valuing businesses that at least make sense and have workable business models. This is very different than the last bubble when companies erroneous business models got great valuations as long as they were “tech”, and mature companies valuations were rising with the rest of the tide.
What we really have in the public tech markets is highly priced young companies and moderately priced mature companies. If you believe that some of the young companies are poised to disrupt the incumbents, or if you take a basket view to young tech companies, then public market valuations aren’t so scary.
Outsiders are migrating to startups
Argument: Five years ago, consultants were competing to get into business school, MBAs were funneling back out to Wall Street, and bankers were quitting to work at PE funds. Now, everyone is just joining a startup.
With this argument, the premise is true; more people are starting and joining startups than ever before, and they’re coming from a much more diverse set of backgrounds.
What’s not necessarily true is the conclusion, that this migration of talent is a bad thing that indicates a tech bubble.
The largest new source of tech workers is the veterans of banks, consulting firms, and business schools. This demographic is widely assumed to be “in it for the money”, and so skeptics believe they will be unable to build the revolutionary companies that drive innovation forward and create massive value.
I have a more optimistic view [2]; I think the majority of this crowd was unsure what they wanted to do, but knew they wanted to work hard and feel important. It seems plausible then that they could discover the startup world a little late and fall in love with it just like anyone else.
Instead of viewing this influx of workers as a sign of a bubble, it should be viewed as the logical extension of an increasing attractive industry in a country with fluid labor allocation.
Conclusion
A bubble is one of those things that can only be identified in hindsight, not because we don’t have enough information right now to know, but because it has not yet been determined. If companies collapse and lose their ability to grow and earn money, then we will have been in a bubble. If enough startups succeed in the ways we hope and expect, then we will not have been in a bubble.
I believe the latter is more likely to be true, that tech is poised to continue on a trajectory of massive growth. The market for startups today is different than it has ever been. Over a billion people have a computer in their pocket at all times, and billions more have access to the internet. Software can be deployed from the cloud and run on a massive scale instantly. Industries that never used technology before are welcoming software into their businesses with open arms. Large amounts of capital are available to startups at every stage, and there is a bigger pool of talent wanting to work in startups than ever before.
Yes, capital is plentiful and cheap, expectations are high, and new tech workers are flooding in from every corner of New York. This may scream, “bubble!” to you, but remember that technology is not zero-sum game. All of this could very well signal the influx of capital and labor that is necessary to create a virtuous cycle that can grow an industry at a massive scale.
[1] In fact, the bar is even lower. The real question should be is the integral of graph of probability vs. outcome worth more than $4 billion.
[2] As a side note, although on some level I understand the reaction to be skeptical of MBAs entering startups, I think it’s an unsubstantiated bias and drives an unwelcoming culture that we should not encourage.
]]>So far during my time at Teespring, my most striking observation has been the importance of great customer service. Every conversation at work is laced with the subtext of improving customers’ experience, and every employee does customer service at one point or another. Good customer service helps you understand your customers, define your company, and grow your business, and should be nurtured carefully.
We often hear that America spends an exorbitant amount of money on healthcare, but people rarely stop to think how much it is or what that means. In 2011, the United States spent 17.9% of its GDP (over $2.6 trillion) on healthcare.
That number is insane.
Startups can always identify their competition. If they're in a worthwhile market, they have competitors, and they know who they are. Surprisingly, I have found that many startups can't pinpoint the way in which they compete, and many more haven't thought deeply about why they should compete in that particular way.
Startups can compete in three main dimensions; quality, convenience, and price. As startups grow, they gain resources, leverage and market share, which allows them to compete in more ways than one (Airbnb is an example of startup that often beats hotels at all three). However, early stage startups usually only have the ability to compete in one dimension well.Would you rather be Thomas Newcomen and help invent the steam engine or Andrew Carnegie and use that technology to build a railroad empire? Would you rather be Tim Berners-Lee and be credited with inventing the world wide web (and receive a $1.65 million prize 15 years later) or Mark Zuckerberg and deploy that technology to create a $75 billion social media company?
Phrased for the general case, would you rather be an inventor or a deployer of a revolutionary new technology? If you had to pick, you’d probably choose deployer.My mom is a dermatologist and her favorite drug is Accutane. If you haven't heard of it, Accutane is the amazing pill that cures even the most extreme cases of acne. Despite being a wonder drug, Accutane requires a fair amount of explanation for new patients. After 25 years of perfecting her talk, it still takes 10 minutes to touch all the bases.
One morning a few weeks ago, right before her first patient of the day, she decided to film this 10 minute explanation on an iPad. Now when she has a new Accutane patient, she hands them the iPad, goes to see another patient, and then comes back to answer any questions that remain.
Sharing can save a ton of money. We share apartments, cars, and office space with family, friends, and coworkers. We share roads, radio waves, and national defense with fellow citizens.
In cases like these, sharing leads to huge economic gain. So why don’t we share more stuff?
Twitter went public today, and I couldn't help but feel alarmed.
After seeing the 75% valuation pop from $14 billion to $25 billion, my initial condolences went to Twitter. A surge on IPO day is good of course, but 15-20% is more than enough; 75% simply means the company was mis-priced and that Twitter left over a billion in cash on the table.Last week I watched this interview between Chamath Palihapitiya and Robert Scoble and found myself nodding vigorously as Chamath articulated a phenomenon that has been swirling around my head for a while: people are beginning to do things in the real world for the purpose of sharing them online.
I think people will simultaneously have two opposing reactions to this. On one hand, people will disagree and say only techie weirdos and middle schoolers put their social media life ahead of their real lives. On the other, people will identify with times they have exhibited this behavior but write it off as a not a big deal."People overvalue optionality. It’s one thing I learned in chess. You just need to have one good option, instead of going for Option A or B or C or D." - Peter Thiel
There's a peculiar tradeoff we all must constantly make between keeping our options open and focusing very hard on one thing. From our earliest days in school we are told to make decisions that don't close any doors, and this sentiment generally sticks with people for a long time.
Nothing in tech feels like more of a bubble than YC demo day. While the average seed deal in 2012 was valued at around $6 million, YC deals are routinely two or three times that expensive.
Hyper-expensive deals are a problem, but not so much so for investors. YC companies could easily be two or three times as likely to be successful as average startups, and as long as investors pick the good startups, they will do well regardless of the terms. YC has not yet proven to be a bubble; investors have done very well with these deals.Consider a young high school couple. Odds are they won't get married; maybe the odds are 5%. If you have to bet whether they will get married or not, you'll make money in the long run by betting that they won't. However, if you have to bet on the single most likely person in the world for either of them to marry, their current partner is surely your best bet.
The same is true for knowledge. Paradoxically, even though we can safely predict that any given piece of knowledge will eventually be overturned or rendered obsolete, we can be almost sure that any given piece of knowledge is our current best bet.Modern medicine has been around for less than a couple hundred years, the knowledge is part of a chaotic system where variable isolation is often impossible, and much of the knowledge is best-practices for treatment rather than provable facts. Medical knowledge can have a half-life as short as 10 years.
Nuclear and plasma physics are even less mature and well-understood, the data is hard to collect, and complicated conclusions are more often deduced than observed. For these fields, the half-life of knowledge is only 5 years.