12 Sep 2013

Chart with arrowIt’s the information age, and you know what that means: data, numbers, and research. More and more, our organizations are data driven; we are all asked to filter through a plethora of input, which can be overwhelming. The jargon and technical terms you run into can be confusing, and if you are new to this stuff, intimidating!

The purpose of this blog is to give power to the newbies, DIYers, first timers, and anyone being asked to delve into research areas they’re not familiar with. We’ll help answer your questions, explain research and data topics, and help you know when it might be a good idea to call for help. As researchers, we see a lot of research being done, and not always well. These RESEARCH TIPS posts will give you the tools you need to develop appropriate research strategies, understand your data, and interpret what it means for your organization.

In this blog, we’ll define market research, cover the types of market research, and dive into terms and concepts, all to help you get a handle on data and what it’s all about. Here is a taste of the topics we will discuss:

  • Qualitative vs. Quantitative research
  • Survey Design
  • The Normal Curve (Data Distribution)
  • Sample
  • Statistical Significance
  • Cross tabulations
  • Demographics

How do you know your data is good? This series will help you determine your data’s quality and what you can confidently learn from it. It will also help you understand what data you’ll need to gather and use to address the unique needs of your organization. Working with what you have and adding what you need are important in crafting a strong research and data strategy.

Next time we will talk specifically about market research, what it is, and what it can do for you.

What confuses you most about data, numbers and research?

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