Author / Nick Freiling

There’s a million ways a survey project can go wrong. We see it happen all too often. An energetic startup founder designs a survey he thinks will change the way he does business—turning his “gut instinct” into validated, data-driven insights about his customers. But the data comes back, after weeks of work, and it’s anything […]

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You’ve fielded a market research survey. For weeks, you wrote and rewrote your survey questions. You paid for a SurveyMonkey license and spent hours learning how to program your survey. You leveraged dozens of industry connections to get survey answers — a hard-earned set of 300 respondents. Getting here wasn’t easy. But unfortunately, you’re not done. Before […]

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”Don’t go to market before doing market research.” Aspiring entrepreneurs hear that all the time. But what does this actually mean? Does every startup do market research? Is market research realistic for a startup with a small budget, little-to-no marketing team, and no product prototypes? Here’s our Founder’s outline for startup market research projects, based […]

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Screener questions are the gate-keepers of your market research surveys. They sit at the beginning of your survey instrument, and they disqualify anyone who you don’t want to hear from. Poorly-designed screener questions will undermine the entire purpose of your survey project. They will let the wrong people into your survey, diminishing the accuracy of […]

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At the end of the day, entrepreneurs need consumer data. Investors simply won’t trust your gut. Nor should you. That said, the first big step toward turning your product or service idea into a sound business concept, and ultimately toward wowing investors, is market research. And the bottom line is that your first market research survey […]

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In the market research world, sampling bias is a consistent error that arises due to the way a survey’s sample was selected. It occurs when a sample is not random, meaning certain types of respondents are more or less likely to be chosen for the sample. The result: Survey results that don’t reflect the population you purport to represent. […]

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