The key insight is to focus on identifying personas that closely align with the highest expectation customer (HXC). This involves examining survey results to identify customers who would be very disappointed without the product. By analyzing their responses to determine who the product is best for, it is possible to extract the language they use to describe themselves and create an HXC profile. Discarding customers who are only somewhat disappointed or not disappointed and recalculating the very disappointed score can lead to a significantly higher score. By concentrating on tailoring positioning, pricing, marketing, and product development to meet the needs of the HXC, a company can move closer to achieving product-market fit.
Episode 93: Today, we’re talking about product market fit. Product market fit is one of those things that every startup founder obsesses over, but it’s always been this elusive thing that can’t be measured or quantified. Until now. Rahul Vohra, the founder & CEO of superhuman, which is the fastest email app ever, felt strongly that there had to be a better way to measure product market fit. A way to quantify it and use it as a proactive tool to dictate how you run your business and build your product. So in 2017 he wrote a seminal essay on a step by step process for testing, measuring, and achieving product market fit in your business, an essay that has now become the most read article ever on the popular startup blog First Round Review. In this episode Rahul breaks down his product market fit process, so you can learn how to apply it to your own business.
PMF Essay: https://review.firstround.com/how-superhuman-built-an-engine-to-find-product-market-fit
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