Optimizing for—and systematically increasing—📝Product/Market Fit is a process that begins with the measurement thereof. 📝Rahul Vohra's process for getting to product/market fit—summarized below—enabled 📝Superhuman Mail to find product/market fit prior to launch with only 200 users. [1]
Anchor Around A Leading Indicator
Everything changed when I found 📝Sean Ellis, who ran early early growth in the early days of 📝DropBox, LogMeIn, and Eventbrite and later coined the term “growth hacker.”
The product/market fit definitions I had found were vivid and compelling, but they were 📝Lagging Indicators—by the time investment bankers are staking out your house, you already have product/market fit. Instead, Ellis had found a 📝Leading Indicator:
Ask users “how would you feel if you could no longer use the product?” and measure the percent who answer “very disappointed.”
Optimize For Product/Market Fit
The four components of Vohra's product/market fit engine:
- Segment to find your supporters and paint a picture of your high-expectation customers.
- Analyze feedback to convert on-the-fence users into fanatics.
- Double down on what users love and addressing what holds others back.
- Repeat the process and make the product/market fit score the most important metric.
Explore this process in detail, read Vohra's post on 📝First Round below: