In today’s connected and data-driven world, we have all kinds of data available to us to understand a myriad of things about our users and their experience. However, one thing we still don’t have a great way to measure is how our users feel about our products.
Feelings are squishy, hard to quantify, and change quite a bit during the course of any given experience.
But, understanding how your users feel about your product can be a super power, enabling you to build features and craft experiences that drive deep connection and durable loyalty for your product and company.
Part of the idea that undergirds the process that we’ll show you in this guide is that, to understand how users feel, we should both listen to what they say and watch what they do.
The first tool we’ll introduce to help with this is the Product Market Fit Survey.
These surveys are a little different than your typical NPS or CSAT surveys. Instead of a simple scale to measure sentiment, the PMF Survey asks several follow on questions to paint a more rich picture of the user’s overall sentiment.
Below is more information about PMF and the survey we’re recommending as a part of this process.
About Product Market Fit Surveys
Product Market Fit Survey Template
To understand your user base’s general sentiment, you will need a representative sample of your users to complete a survey. Unfortunately, getting a perfectly representative sample can be kind of tricky.
Thankfully, however, we don’t need to be perfect here. Instead, we can take a couple of steps to make sure that we at least have a decent starting point for this exercise.
Without getting into complicated statistical jargon, you should know that there’s a statistically significant number of survey responses you will need to ensure that it’s representative of your user base.
The number depends on how large your user base is and the confidence level you’re looking for that the responses will be representative of your user base. Thankfully, SurveyMonkey has a great, free calculator you can use to determine this number.
While 95% confidence is industry standard, you may feel like lowering the threshold a bit for your first attempt is appropriate. You can make this determination however you see fit.
Sample Size Calculator: Understanding Sample Sizes | SurveyMonkey