The Superhuman Product/Market Fit Engine

In 2018, Superhuman's unique journey of product/market became one of the most widely read

of the year. It received a

stronger positive response than I expected — many founders and product leaders were facing similar challenges, and they welcomed a concrete engine to find and increase product/market fit.

In 2020, we are taking this engine to the next level. This document contains everything you need to implement the Superhuman framework yourself. And as a bonus, it also contains a representative sample of our actual Superhuman results, so you can dive deep into real data as you learn all the concepts.

In 2017, I was intensely trying to find product/market fit for my startup,

. I searched high and low; I spoke with all the experts; I read everything I could find. This included classics such as thought pieces from

("make something people want"),

("users spontaneously tell others to use your product"), and of course

("you can almost always feel it when it is happening"). As vivid and as compelling as these definitions were, they were all still

indicators.

My core insight came when I found

, who ran early growth at Dropbox, LogMeIn, and Eventbrite — and who coined the term "growth hacker". Sean had

a

indicator:

Ellis turned this into a robust

. Ellis established a magic number and a clear benchmark: 40%. Companies that struggled to find growth almost always had less than 40% of users respond "very disappointed" — whereas companies that grew most easily almost always exceeded that threshold. And therein was the hint that would become core to our method:

At Superhuman, we turned this process into a 5 step engine. This document will walk you through the engine step-by-step:

⁠

to ask your users "How would you feel if you could no longer use Superhuman?"

⁠

to find supporters and paint a picture of high-expectation customers

⁠

to convert on-the-fence users into fanatics

⁠

your improvements by doubling down on what users love and addressing what holds others back

⁠

product/market fit over time as your most important metric

My

illustrated product/market fit with the real example of Superhuman. The goal of this document is to take this to the next level: not only does it contain a representative sample of actual Superhuman data, it is also an interactive toolkit so you can use the engine with your own product!

All of the examples are interactive, so you can dive deep into the data. Try filtering down the charts or reassigning a persona to understand how it flows through the engine 👇

To everybody out there searching for product/market fit: you are not alone. Try retooling this engine to make it your own. Simply copy the document, replace it with your own data, and find product/market fit! If you would like to try this technique and need help implementing it, the Coda team has graciously offered to help. Click below to get assistance:

⁠

⁠

Finally, here’s a talk I did about the Superhuman’s Product Market Fit Engine at Coda’s Block Party in 2021:

⁠

⁠