Research Methods

We us quantitative, qualitative and secondary research methods to uncover truths to help your business.

Quantitative Research Methods

Quantitative research is often able to provide large amounts of data as it tends to be quicker and cheaper than qualitative research. Although it does not deliver the rich and detailed information that qualitative research can, it can provide large, representative sample of the population, often in a short amount of time.

Typical data collection methods include:

  • Online surveys
  • Telephone interviews
  • Street interviews
  • Hall tests

Qualitative Research Methods

Qualitative research provides rich and in-depth data about a specific subject. There are a variety of data collection methods used, depending on the research objectives and target audience.

These include:

  • Face-to-face interviews
  • Focus groups
  • Co-creation workshops
  • In-depth telephone interviews
  • Online discussion boards
  • Video interviews
  • Hall tests

Secondary Research

In some cases it may be that primary research is not appropriate or not necessary. Perhaps your research enquiry has been researched before or your requirements do not necessitate primary research. In these cases we can carry out secondary research to uncover existing data in the public domain.

Typically we will conduct:

  • Published information review
  • Analyst analytics
  • Online reviews

Please contact us for more information on which method is best for your research enquiry.

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I just wanted to say how brilliant and easy it is working with you guys. Everything you do is painless – you often deliver ahead of time (and sometimes under budget!!!) and are now even offering to give us even more than we asked for.

 

You’re by far the best research company I’ve worked with, and seem to completely get what we’re looking for the whole time. I’d never recommend anyone else!

 

Thanks again

Associate Director  Bite Global 

Redshift’s Red Hot Tip

Questionnaire Design:

Keep the number of questions to a minimum to ensure highest possible data quality