Combining qualitative research and quantitative research for the best results

Combining qualitative research and quantitative research for the best results


What Is Qualitative Research?

What are the basics for running an effective qualitative research project?

Disadvantages with qualitative research

Cost and time of qualitative data analysis

Participant recruitment

Human factors


Advantages with qualitative research



What Is Quantitative Research?

What basics do I need to run effective quantitative research?

What skills and experience should someone have for conducting quantitative research?

3 examples of quantitative research methods

Disadvantages of quantitative research

Rigid insights

Lacks deeper learning

Requires careful foresight

Advantages of quantitative research


Rapid analysis

What is the difference between qualitative and quantitative research in terms of sample size?

Why Use Both Research Methods?

How Do You Conduct A Qual Survey?

  1. Find a suitable tool e.g. Google Forms (free and very flexible).
  2. Build a text based questionnaire / form.
  3. Test your test (e.g. gather feedback from colleagues to find any blind spots in your questions).
  4. Revise your questionnaire / form content based on the feedback.
  5. Recruit quality respondents and send.
  1. Adding visual inputs engages your respondents and increases response rates — too much text is overwhelming and creates survey fatigue.
  2. Build questions using a combination of likert scale and open ended question types — the perfect balance of ‘what’ and ‘why’.
  3. You can choose your audience — our platform connects you to over 110 million people so that you can specify the ideal participants.
  4. Each participant answers each question by annotating the visual stimulus. This UX makes it easy to for them to comment and easy for you to understand (low cognitive overhead).
  5. You capture 1000s of comments from respondents on your research stimulus (qualitative data) and use natural language understanding to translate it all into easy to understand stats (quantitative data).
  6. Measure the ‘what’ (numerical data) against the ‘why’ (open-ended data) with direct-from-audience feedback.

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