Analyzing the results of a product-market fit survey is a crucial step in understanding your target market and improving your product or service offerings. Sean Ellis, who conceptualized the survey, suggests the following approach to analyzing the results of a product-market fit survey:
1. Calculate your Net Promoter Score (NPS)
The NPS is a straightforward metric that measures how likely your customers are to recommend your product or service to others. To calculate your NPS, ask your survey respondents to rate on a scale of 0-10 how likely they are to recommend your product or service to a friend or colleague. Subtract the percentage of detractors (0-6) from the percentage of promoters (9-10) to get your NPS.
2. Count "must-have" responses to the product-market fit questions
Determine your percentage of respondents who reported experiencing a "must-have" experience: Ask your survey respondents to rate on a scale of 0-10 how disappointed they would be if they could no longer use your product or service. Calculate the percentage of respondents who gave a rating of 7 or higher, as these are the customers who experienced a "must-have" experience.
According to the Sean Ellis method, if at least 40% of your respondents report experiencing a "must-have" experience, and your NPS is above 50, then you have achieved product-market fit. If your results fall short of these benchmarks, then you need to take steps to improve your product or service.
3. Take action
Use the insights you gained from your analysis to inform your decision-making. Consider making changes to your product or service offerings based on the feedback you received. Monitor your NPS and the percentage of respondents who report experiencing a "must-have" experience over time to track your progress.
In summary
By calculating your NPS, determining the percentage of respondents who report experiencing a "must-have" experience, and analyzing your data, you can gain valuable insights into your target market and make data-driven decisions for your business.