The #1 Way to 10x Your Company's Odds of Success (Part 1 of 2)
The most important lesson I learned from starting two companies. Assume your idea won't work and quickly use data to prove yourself wrong.
đđ˝ Welcome to A Founderâs Life for Me! Iâm Alek, and Iâll share my experiences building tech companies to provide practical recommendations on building your own thing.
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Why Iâm writing about this now
The secret to improving your companyâs odds of success comes down to this core principle⌠directly address risks with rapid experimentation.
Rapid experimentation can apply to big decisions (i.e., âWhen do I start building?â) and smaller ones (i.e., âShould I add this feature?â).
As I look back over the last year, I know Iâve improved at building rapid experiments, but I also know I have a lot of room to grow. Whether youâre validating a startup idea or working on a presentation for a client, I hope that by reading this, you save yourself valuable time and money.
Blind faith marries profound skepticism.
As a founder, you want to believe, âThis idea will work.â But, the better way to work is to make your default assumption, âThis idea WONâT work.â To do this effectively, you need to think like a scientist.
In statistics, the term ânull hypothesisâ effectively means your default answer. The burden is on you to prove, with data, that your âalternate hypothesisâ is true. In my experience, you need to assume, âThis idea WONâT work,â and prove yourself wrong before investing your limited resources.
Not every idea is a gold mine.
Imagine you are strolling through your yard, and you notice a glimmer peaking through the grass. âGold!â you shout, as you excitedly run back inside. Over the next few days, after you get home from work, you study up on running a gold mining operation, purchase mining equipment, and hire contractors to help dig.
After a few weeks of mining, youâre ready for your first shipment. You load up your new truck and drive to the buyer you have lined up. âI canât buy this!â they exclaim, âThis is pyrite, not gold!â
If you build it, they will come!
I was sitting at my desk in my apartment in San Francisco, playing a game on my computer with some friends. âI wonder what the best move in this situation is?â I wondered. âItâd be cool if I had data that helped me make the right decision.â
Over the next few months, after getting home from work, I spent hours researching computer vision technology, bought a new computer to develop it, and hired some contractors to help. I talked to friends who all said, âThis idea is awesome,â and my excitement grew. Iâm going to be rich!
The website was up and running after a few months of hard work. I fired social media posts and ads across platforms. I watched my website traffic. âHere they come!â I thought. But, nobody came. After all that hard work, I got two sign-ups over the next month, and their feedback was middling.
The importance of rapid experiments.
In both of the stories above, the ânull hypothesisâ was âthis idea will work.â And there was no proof that the idea was worth pursuing. The end result was wasted time, money, and effort. In the case of my first startup, I did get to a point where people used the product. However, I wasted a ton of time and money because the final concept was so different from where I started.
Every new endeavor has a limited runway.1 If youâre working on an idea in your free time, your runway is limited by your time and patience. When there are other stakeholders involved (i.e., your family, investors, employees), there are financial obligations you need to meet, too. To succeed, you need to find an idea that will work before you run out of runway.
Your first idea isnât always going to work. It can take 5, 10, 20, or more iterations of an idea to reach one that will work well enough for your business to âtake off.â And, if you hit the end of your runway before you find âthe idea that works,â then youâve lost.2 So, you need to get through idea experiments as quickly as possible to maximize your chances of success. The best way to do this is by maximizing your confidence that an idea will work with minimal effort (a.k.a. a rapid experiment).
Applying rapid experiments.
For my current startup, SolidlyAI, Iâve designed rapid experiments to directly address risks and get through idea iterations 10x faster than I did with my prior startup. The main risks for Solidly were:
As a solo founder, I wonât enjoy building the product full-time by myself.
As a solo founder, I donât have the skills to build it.
As a solo founder, I wonât be able to meet my financial obligations/goals.
People wonât want to buy it.
Risks #1 and #2: My first experiment was to âCode a prototype full-time for one week.â From this, I learned that I enjoyed coding as a full-time activity and was good enough at it to build what I wanted.
Risk #3: As a thought experiment, I did some number crunching. I had enough in my bank account to cover six months of expenses. I gave myself three months of freedom to work on SolidlyAI full-time. After that, if Solidly didnât âtake off,â Iâd split my focus and spend time looking for other ways to meet my financial obligations. So, I allowed myself to put the risk out of my mind, and Iâd revisit it later.
Risk #4: I needed to design a quickly executable experiment to understand whether people would buy Solidly. So, I spent another week getting a highly simplified version of the app up and running. I started marketing it and quickly saw a steady stream of daily usage. Usage is just the first hurdle, and usage doesnât mean people will pay for the application. So, there was still more experimentation to do.
However, new risks emerged, and OpenAIâs ChatGPT was taking off in parallel. Quickly, usage dropped off because people had found a better alternative to the simple value proposition that Solidly originally solved. So, the feedback loop started again. I assessed the new risks, developed efficient experiments to address them, and then executed them!
Your turn! Applying rapid experiments.
If you have an idea, the key to success is to find ways to validate whether or not it will work as quickly as possible. Building these rapid experiments allows you to get through the âbadâ versions more rapidly and land on the one that works.
Recommendation: Think about a significant workstream that you are working on. Spend five minutes outlining the risks and brainstorming at least three experiments to address these risks. Your goal should be for these experiments to take less than ten percent of the total time that the workstream would take. If the workstream takes ten days to execute, develop an experiment that mitigates the risk in one day. Do that first.
In my next newsletter, Iâll share my favorite strategies for designing experiments. If youâre interested, please subscribe through the link below.
âRunway,â in startup speak, means âthere is a limited amount of a resource we can burn before an idea âtakes off.ââ Think of a plane trying to take off⌠the runway doesnât go on forever. It needs to get enough speed before it reaches the end of the runway, or it crashes.
Iâll talk about strategies for extending your runway in a later post. But, for the sake of this discussion, letâs assume your runway isnât changing.