Excellent question!

Since our team mostly consists of researchers (thus we were students too), we also care about data.

Give me a minute to explain how to judge if data is good.

Issues with data from panel platforms

First, there are some issues when it comes to the reality of most panel platforms.

Panels rely on paying people to participate in studies. You can choose demographics, like country, age, occupation, but do you actually get those people?

In reality, people from low-income countries sign up on these platforms en mass, because in their country a few dollars/euros is a lot of money. 🤯



In this age, it is very simple to get past most filters. They use VPN’s (Virtual Private Networks) and temporary country-specific phone numbers to appear as being from a high-income country.

Before you purchase some respondents from a platform, take this into consideration.

What we do to solve this problem

Because we don’t pay our panel, we don’t have any people that fake where they are from.

This makes our data more reliable.

The reason most people are on our platform is that they need respondents, just like you.

Random Sampling

In science, random sampling is the golden standard. It enables us to compare groups and make inferences about the world using statistical methods. 📊📈

Most studies rely on some sort of a convenience sample: simply asking everyone you know.

Since most people know people that similar to them (in age, intelligence, education, preferences, attitudes, and personality), this creates an issue: unrepresentative data.

This is fine for surveys that study basic human functions often present in Psychology or Sociology, but for other purposes, it’s not ideal.

Your friends might be useful for studying basic human functions (hopefully 😉), but when you want to conclude something about your target audience or market you need people from outside of your circle.

That’s where we come in. Our data is from all walks of life in the Western world. 🌎