If you are making the investment in developing a customer community or panel, there is one key factor for on-going success… you will want to keep your members for as long as possible.

Biased questions increase respondent confusion which then increases error in their responses. This in turn reduces the strength of the relationships between variables. In worse case scenarios, biased questions can return results that may be untrue which favor a specific outcome. So what can we do to avoid bias in surveys?

Wouldn’t it be better for everyone if researchers could identify and completely remove the bad respondents from their sample source by having more information on why the respondent was a poor complete?

Here are some best practices to keep in mind when you are thinking about weighting survey data.

Medical marketing research presents many unique challenges. Here are some tips to help you navigate these turbulent waters

While there are many pundits arguing that the differences between B2B and B2C marketing are decreasing due to technology, there is one area where the differences are not decreasing: marketing research.

Panel and river samples have become very popular, and we are now seeing growth in panel aggregators. None of these sample sources are inherently good or bad, but it is important to understand their differences – and how to choose the best sample source for your project.

Survey methodology should be chosen based on the specific requirements of each survey project, the available sampling frame, the timeline, and the budget. When you look at all of those variables, you realize there is more to life than online surveys.

The key to any research – whether qualitative or quantitative – is finding the right participants.

In-Home Usage Tests (IHUTs) are one of the tried-and-true methodologies for testing products. Whether you’re looking for a competitive advantage, launching a new product or line extension, improving an existing product, or testing for consistent product quality, an IHUT can be the right technique for your project. After all, what could provide you with better feedback than people testing your product in the environment where they would actually use it?

One Key Question to Improve Data Quality

Sometimes we can be so fixated on the “brains” of a nationally representative sample that projects will proceed with that plan even when it’s not the best option.