Track Narada's product market fit

How to continue to track and make product/market fit our key metric.

We should be diligent about surveying new users, and we make sure that we never survey the same user twice.

We should create an initial analysis and make the product/market fit score our key metric, tracked weekly, monthly, and quarterly. This can become a key metric to track, and creating an

OKR⁠

where the only

key result⁠

was the product/market fit score. This will ensure that we would establish PMF but we can also continually increase product/market fit over time.

Product/Market fit over time (sample data)

⁠

Period

Submit date start

Submit date end

Count of responses in time range

PMF Threshold

Very Disappointed

11/1/2016

2/1/2017

45%

33%

2/2/2017

5/1/2017

45%

47%

5/2/2017

8/1/2017

45%

56%

8/2/2017

11/1/2017

45%

58%

There are no rows in this table

⁠

This method was developed by Rahul Vohra at Superhuman and In the summer of 2017, their 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, their product/market fit score had nearly doubled to 58%. We can use this method at Narada to not only establish our “niche” but also track new ones as we grow.

If we are interested we can reach out to Rahul and get some feedback on our journey at

rahul@superhuman.com⁠

and at

@rahulvohra⁠

🙏

⁠

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Track Narada's product market fit

Product/Market fit over time (sample data)

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