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Signals of Market Product Fit

Posted: Thu Feb 06, 2025 5:13 am
by Rina7RS
If market-product fit is not binary, then how do you know if you have market-product fit? A lot has been written about this, but most of it does not reflect reality.

As with almost everything, you need to combine qualitative measurements with quantitative measurements based on your intuition . We deceive ourselves when we only look at one of these areas. It's a lot like trying to get the full picture of an object with only a one-dimensional view.

How do we combine qualitative, quantitative, and intuitive metrics to understand how strong our market-product fit is?

1. Qualitative

The typical starting point for measuring market-product macedonia mobile database fit is qualitative metrics because they are easiest to deploy and require the fewest customers and data.

To get a qualitative understanding, I prefer to use the Net Promoter Score NPS. If you truly solve your audience’s problem, then they should be willing to recommend your product to a friend.

The biggest disadvantage of qualitative information compared to quantitative information is that it has a higher chance of producing false positive results, so treat it with caution.

2. Quantification

There are two quantitative indicators to understand market product fit: retention curve and direct traffic.

In 2013, I first talked about how a flat retention curve indicates market-product fit .