Question: Case Study: Customer Satisfaction at Greenleaf Caf Background: Greenleaf Caf is a small, locally owned caf that has been in business for five years. The

Case Study: Customer Satisfaction at Greenleaf Caf
Background: Greenleaf Caf is a small, locally owned caf that has been in business for five years. The caf prides itself on providing fresh, organic meals and excellent customer service. Over the past year, the caf has seen increased competition from new coffee shops and restaurants in the area. The management team has noticed a slight decline in customer visits and wants to understand how satisfied their customers are with various aspects of the caf's service and offers. The management has asked you, as a research consultant, to create a questionnaire that can be used to measure customer satisfaction. This data will be used to make strategic decisions on how to improve the cafs services and attract more customers.
Task: Your task is to design a customer satisfaction questionnaire for Greenleaf Caf. The questionnaire should help the caf understand customer preferences, opinions, and behavior. Specifically, it should capture the following variables:
1. Customer Demographics: Age, gender, frequency of visits, etc.
2. Service Quality: Speed of service, friendliness of staff, professionalism.
3. Product Quality: Taste, freshness, presentation of food and drinks.
4. Ambience: Cleanliness, comfort, and atmosphere of the caf.
5. Pricing: Perceptions of value for money.
6. Overall Satisfaction: General feelings about the caf and the likelihood of return visits or recommending it to others.
Instructions: As part of your assessment, you will be required to design a comprehensive questionnaire that covers the variables mentioned above. You should carefully think about how to phrase each question, the response format (e.g., Likert scales, open-ended questions, multiple-choice), and how the questions will flow logically to encourage respondents to complete the entire survey.
Steps:
1. Identify Key Variables: Break down each of the six variables (demographics, service quality, product quality, etc.) into measurable components.
2. Question Type Selection: For each variable, decide which type of question would best capture the information. Will you use closed-ended questions (e.g., multiple-choice, rating scales) or open-ended questions? Will Likert scales be more effective for measuring perceptions of service and product quality?
3. Question Design: Write the questions for each variable, ensuring clarity and neutrality. Consider adding follow-up questions for certain responses (e.g., if a customer is dissatisfied with service, ask them to elaborate on the reason).
4. Structure and Flow: Arrange the questions in a logical order. Typically, you would start with demographic questions to ease the respondent into the survey, followed by questions about service, product quality, ambience, and so on. End with questions about overall satisfaction and recommendations.
5. Pilot Test: Think about how you would conduct a pilot test to ensure the questionnaire is easy to understand and provides useful data.
Deliverables:
Questionnaire Document: Provide a final version of the customer satisfaction questionnaire with at least 10-15 well-crafted questions. Each question should specify the type of response (e.g., multiple choice, rating scale, etc.).
Justification: In a separate document, justify your choices for each question and explain how it helps measure the associated variable. For example, why did you use a Likert scale to measure service quality? How will demographic questions help in segmenting the data?
Evaluation Criteria: Your questionnaire will be evaluated based on the following:
1. Comprehensiveness: Does the questionnaire address all six variables (demographics, service quality, product quality, ambience, pricing, and overall satisfaction)?
2. Clarity: Are the questions clearly worded, neutral, and easy for respondents to understand?
3. Appropriateness of Question Types: Are the chosen question types appropriate for the variables being measured? (e.g., Likert scales for attitudinal variables, multiple-choice for demographics)4. Logical Flow: Does the questionnaire follow a logical order that encourages respondents to complete the survey?
5. Justification: Is there a clear rationale behind each question? Does the justification explain how each question will help in data collection?

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