The Superhuman Product/Market Fit Engine
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The Superhuman Product/Market Fit Engine
Template: Build your own PMF Engine

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Repeat the process and make product/market fit your most important metric.
We are diligent about surveying new users, and we make sure that we never survey the same user twice.
After our initial analysis, we made the product/market fit score our most important metric, tracked weekly, monthly, and quarterly. We refocused the product team, creating an
OKR
⁠
where the only
key result
⁠
was the product/market fit score. This ensured that we would continually increase product/market fit over time.

Product/Market fit over time

⁠
Period
Submit date start
Submit date end
Count of responses in time range
PMF Threshold
Very Disappointed
1
1
11/1/2016
2/1/2017
16
41%
33%
2
2
2/2/2017
5/1/2017
10
41%
47%
3
3
5/2/2017
8/1/2017
22
41%
56%
4
4
8/2/2017
11/1/2017
46
41%
58%
There are no rows in this table
⁠

In the summer of 2017, our product/market fit score — after segmentation — was 33%. After a quarter, it was 47%. Next quarter, it was 56%. And the quarter after that, 58%.
Within just three quarters, our product/market fit score had nearly doubled to 58%!
I hope you consider using the product/market fit engine at your company. If you do, please let me know — I'd love to help in any way that I can.
You can find me at
rahul@superhuman.com
⁠
and at
@rahulvohra
⁠
🙏


⁠

👉 Back to:
The Superhuman Product/Market Fit Engine
⁠
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