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Customer Insights: Survey distribution methods

Customer Insights
Survey distribution methods
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Notes

table of contents
  1. Cover
  2. Title Page
  3. Copyright
  4. Table Of Contents
  5. Introduction to the Second Edition
  6. Acknowledgement of country
  7. Acknowledgments
  8. Difference between marketing research and customer insights
  9. Research ethics
  10. Secondary research
  11. Use of census data
  12. Primary research
  13. Qualitative vs quantitative research
  14. Types of research design
  15. Focus groups
  16. Observational research
  17. Measures or types of variables
  18. Questionnaire design
  19. Sampling methods
  20. Errors in research
  21. Research panels
  22. Survey distribution methods
  23. Descriptive statistics
  24. Association between variables
  25. Differences between respondent groups
  26. Sentiment analysis
  27. Artificial intelligence and information
  28. Social media analytics
  29. Researching Indigenous Communities
  30. Communicating insights
  31. Infographics
  32. The process: from generating to using customer insights
  33. Case Study: Using customer insights to reposition Western Sydney University

15

Survey distribution methods

Learning Objectives

By the end of this chapter, students must be able to:

  • differentiate between the different methods available to collect survey data
  • understand the pros and cons of each survey distribution method

One or more interactive elements has been excluded from this version of the text. You can view them online here: https://oercollective.caul.edu.au/customer-insights/?p=53#oembed-1

Source: Elon University Poll Elon University Poll, 2014, Methods of collecting survey data,27 Sep, online video, viewed 4 April 2022, <https://www.youtube.com/watch?v=9cuOyAR-Y9I>.

Survey Distribution for Data Collection

There can be a number of ways surveys can be distributed for collecting data. These are the most commonly used methods.

An interactive H5P element has been excluded from this version of the text. You can view it online here:
https://oercollective.caul.edu.au/customer-insights/?p=53#h5p-41


An interactive H5P element has been excluded from this version of the text. You can view it online here:
https://oercollective.caul.edu.au/customer-insights/?p=53#h5p-34

Choosing a Data Collection Method

A number of factors may play a role in selecting the most appropriate data collection method(s). These are discussed below:

Time:

Organisations have tight deadlines to meet. Researchers are under pressure to provide information. This often means that only those methods (such as an online survey or a telephone interview) can be used for data collection which has a quick turnaround. More traditional methods, such as in-home surveys are not appropriate at this stage.

Cost:

The researcher has to keep in mind the funds available. In case there is a big budget for research, then it is quite feasible to employ field workers who collect data in malls, offices, or homes. If there is a limited budget, then the researcher may have to rely on survey distribution modes that are cost-efficient, such as hosting the survey on the company's social media platform.

Access to Population Groups:

The quickest and most cost-effective data collection method becomes useless if the right population group cannot be reached. This is one of the key points which needs to be considered while selecting a method to distribute a survey questionnaire. A group of university students in Iran could be accessible using in-person methods, while in Australia alternative strategies may need to be employed.

Suitability (for Research Aim):

If a survey is designed so respondents can view certain images, then a telephone interview may not be an appropriate method. Similarly, if a questionnaire expects respondents to access a link or a website, it is important that the right data collection methods are employed.

An interactive H5P element has been excluded from this version of the text. You can view it online here:
https://oercollective.caul.edu.au/customer-insights/?p=53#h5p-35

Annotate

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Descriptive statistics
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Copyright © 2023

                                by Aila Khan, Munir Hossain and Sabreena Amin

            Customer Insights Copyright © 2023 by Aila Khan, Munir Hossain and Sabreena Amin is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, except where otherwise noted.
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