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Applying the Superhuman Product:Market Fit Eval Engine to Ramblers Way
Applying the Superhuman Product:Market Fit Eval Engine to Ramblers Way
This document applies the product:market fit engine developed by Rahul Vohra, the CEO of Superhuman, to Ramblers Way
Background on the Superhuman engine for optimizing product:market fit
In 2018, Superhuman's unique journey to product:market was documented by its founder on First Round Capital’s widely-read blog:
Rahul’s core insight came from , who ran early growth at Dropbox, LogMeIn, and Eventbrite, and who coined the term "growth hacker". Sean had a leading indicator of product:market fit:
Just ask a user “how would you feel if you could no longer use the product?” and measure the percent who answer “very disappointed.”
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 this method:
Ask your users how they’d feel if they could no longer use your product. The group that answers ‘very disappointed’ will unlock product:market fit.
In 2020, Superhuman ported this process into an interactive document hosted on Coda, which I have forked to make the version you are reading now.
The process is broken into 5 key steps:
to ask our customers "How would you feel if you no longer had your Ramblers Way clothing to wear?"
of company improvements that double down on what customers love and address what holds others back
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