How to trust survey data (even with a small sample)

Описание: #productmarketing #b2bmarketing

Think you need hundreds of responses to trust your B2B survey results? Not quite.

In this video, we debunk a common misconception in B2B research: that larger survey samples always yield better data.

The reality is you might only need 30–40 high-quality responses to uncover reliable insights, if your sample is representative.

We’ll explain how homogeneity in B2B audiences impacts statistical confidence, why polarization in responses can actually boost clarity, and when it's worth pushing for a larger sample. Whether you're running early-stage product validation or trying to sway data-skeptical stakeholders, this video will help you know when to trust the data—and when to dig deeper.

🔍 Key takeaways:
Why fewer survey responses can still offer meaningful results in B2B
The role of audience homogeneity in statistical confidence
When sample size matters—and when it doesn’t
How to think about confidence intervals (without a stats degree)
Why polarization can sharpen your insights

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