Thank you for taking the time to take part in this telephone survey that entails a customer-based questionnaire. This questionnaire is designed for the purpose of collecting information that will help Joe’s improve customer service delivery. Please kindly note that your participation is voluntary and may withdraw as you wish.
This is a Survey for Joe’s Wraps and Subs
- Gender (Tick as appropriate)
- Age group
- 15- 20
- 20- 30
- 30- 40
- 40- 50
- 50 and above
- How do you rate your overall satisfaction with Joe’s?
- How often do you purchase at Joe’s?
- How much do you averagely spend on each visit?
100 and above
- Rate Joe’s performance on the following platforms
|Very Poor||Poor||No Opinion||Good||Excellent|
|a. Competitive price|
|b. Convenience of location|
|c. Variety of sandwiches|
|d. Freshness of sandwich fillings|
|e. Speed of service|
|f. Taste of subs|
|g. Taste of wraps|
|h. Uniqueness of sandwiches|
- What recent advertising about Joe’s do you recall?
- Yellow Pages
- Newspaper ads
- Your second task is to recommend to Joe with full justification what should be included in the sampling plan for this telephone survey.
The sampling plan must have al the requisites of a well-planned survey. Therefore, it is essential that all the important ethical codes of conduct in research are taken into consideration and this helps in establishing a rapport with the interviewees. Establishing rapport with interviewees is an important facet of the whole procedure as it is the first step into a plan to get genuine information from the sampled customers (Esposito 2009). This must, therefore, be slotted into the telephone time scheduled.
Secondly, the determination of the sample size is as important as it is imperative to get more accurate results. Given that sample size is directly related to the accuracy of the results, it is important to have a large sample size that will help in reducing sampling error (errors that emerge from small sample size much as large variability like large standard deviation). In addition, the confidence level will also depend on the sample size selected (Arsham 2009). Large sample size can assure a higher level of confidence interval given that the results yielded from such a sample are closer to desired accuracy as long as errors do not arise from non-sampling causes such problems in real measurement.
Arsham H. (2009) ‘Questionnaire Design and Sampling Procedure’ Strathclyde University, Glasgow G1 1XH, Scotland
Esposito J. L (2009) ‘Questionnaire Design Framework’ Sage Publications
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