Questionnaire Design: Types, Structure, and Best Practices

What is a Questionnaire?

A questionnaire is a structured set of questions designed to collect data from respondents systematically. It is a key tool in primary data collection, ensuring consistency, reliability, and ease of analysis. Questionnaires can be administered in various ways: face-to-face, via phone, email, or online (e.g., Google Forms, Typeform).

Why is it important?

• Standardizes data collection.
• Reduces researcher bias.
• Enables large-scale data collection efficiently.

Types of Questionnaires

Questionnaires can be classified based on their structure and administration method:

mindmap
  root((Questionnaire Types))
    Structured
      Fixed-format questions
      Closed-ended responses
      Easy to analyze
    Unstructured
      Open-ended questions
      Flexible responses
      Qualitative insights
    Semi-structured
      Mix of structured and unstructured
      Balances depth and ease
    Administered By
      Face-to-face
      Telephone
      Mail/Email
      Online (e.g., Google Forms)

Key Components of a Questionnaire

A well-designed questionnaire includes:

1. Introduction

   • Explains the purpose of the study.
   • Assures confidentiality.
   • Encourages honest responses.

2. Body (Questions)

   • Logical flow (simple to complex).
   • Clear and unambiguous language.
   • Avoids leading or biased questions.

3. Closing

   • Thank-you note.
   • Contact information for follow-ups.

Types of Questions

Questions can be categorized based on their format and response type:

Designing Effective Questions

1. Avoid Ambiguity

• Bad: "How often do you shop online?" Why? "Shop" is vague (e.g., browsing vs. purchasing).
• Good: "How often do you purchase items online in a month? (Never/1-3 times/4-6 times/More than 6 times)"

2. Avoid Leading Questions

• Bad: "Don’t you think Daraz’s delivery is the fastest?" Why? Influences the respondent’s answer.
• Good: "How would you rate Daraz’s delivery speed compared to other platforms?"

3. Avoid Double-Barreled Questions

• Bad: "Are you satisfied with Pathao’s delivery time and customer service?" Why? Two questions in one.
• Good:
  • "How satisfied are you with Pathao’s delivery time? (1-5)"
  • "How satisfied are you with Pathao’s customer service? (1-5)"

4. Use Simple and Clear Language

• Bad: "To what extent do you concur with the assertion that Nabil Bank’s loan processing is suboptimal?" Why? Complex wording.
• Good: "How satisfied are you with Nabil Bank’s loan processing speed? (1-5)"

5. Ensure Logical Flow

Start with easy, general questions and move to specific, sensitive topics. Example:

1. "How often do you use mobile banking?"
2. "Which features do you use most? (Payments/Transfers/Loans/Other)"
3. "What challenges have you faced with mobile banking?"

Scaling Techniques

Scaling helps quantify responses. Common techniques include:

1. Likert Scale

Measures agreement/disagreement on a symmetric scale (e.g., 1-5 or 1-7). Example:

Used by:

• Nepalese Context: NTC surveys customer satisfaction with internet speed.
• Global Context: Amazon reviews (1-5 stars).

2. Semantic Differential Scale

Measures attitudes on bipolar adjectives (e.g., "Good-Bad," "Fast-Slow"). Example:

Used by:

• Nepalese Context: Daraz’s product pricing perception surveys.
• Global Context: Apple’s product perception ("Simple-Complex").

3. Rating Scales

Assigns numerical values to responses (e.g., 1-10). Example: "Rate your experience with eSewa’s app: (1-10)"

Questionnaire Structure: A Step-by-Step Guide

flowchart TD
  A["Start"] --> B["Introduction"]
  B --> C["Demographic Questions"]
  C --> D["Main Questions"]
  D --> E["Scaling Questions"]
  E --> F["Open-ended Questions"]
  F --> G["Closing"]
  G --> H["End"]

Step 1: Introduction

• Purpose: Explain the study’s goal.
• Example:

  "Dear respondent, thank you for participating in this survey on customer satisfaction with Nabil Bank’s digital services. Your responses will help improve our services. This survey will take 5 minutes."

Step 2: Demographic Questions

Collect basic information (age, gender, occupation, income). Example:

• "What is your age group?"
  • 18-25
  • 26-35
  • 36-45
  • 45+

Step 3: Main Questions

Focus on the research objective. Use a mix of closed and open-ended questions. Example (for a study on eSewa usage):

• "How often do you use eSewa?"
  • Daily
  • Weekly
  • Monthly
• "What is the biggest challenge you face while using eSewa? (Open-ended)"

Step 4: Scaling Questions

Use Likert or rating scales for measurable responses. Example: "On a scale of 1-5, how satisfied are you with eSewa’s transaction speed?" 1 (Very Dissatisfied) to 5 (Very Satisfied)

Step 5: Open-ended Questions

Allow respondents to express opinions freely. Example: "Suggest one improvement for eSewa’s app."

Step 6: Closing

• Thank the respondent.
• Provide contact details for feedback.

Real-World Applications

1. eSewa: Transaction Satisfaction Survey

Idea Used: Likert Scale + Closed-ended Questions How? eSewa regularly conducts surveys to measure user satisfaction. For example:

• "How satisfied are you with eSewa’s transaction success rate?"
  • 1 (Very Dissatisfied) to [ ] 5 (Very Satisfied)
• "Did you face any issues during your last transaction?"
  • Yes (Please describe: _______)
  • No

Why? Helps eSewa identify pain points (e.g., failed transactions, slow processing) and improve service.

2. Daraz: Customer Purchase Behavior Study

Idea Used: Multiple-choice + Ranking Questions How? Daraz might ask:

• "Which factors influence your decision to purchase from Daraz?"
  • Price
  • Delivery speed
  • Product variety
  • Customer reviews
  • Other (Specify: _______)
• "Rank these delivery options from most to least preferred:"
  1. Same-day delivery
  2. Next-day delivery
  3. Standard delivery (3-5 days)

Why? Helps Daraz prioritize features (e.g., faster delivery options) to reduce cart abandonment.

3. Nabil Bank: Loan Application Experience

Idea Used: Semantic Differential Scale + Open-ended Questions How? Nabil Bank surveys loan applicants:

• "Rate your experience with Nabil Bank’s loan processing speed:"
  • Very Slow (1) to [ ] Very Fast (5)
• "What was the most frustrating part of applying for a loan?"
  • (Open-ended response)

Why? Identifies bottlenecks (e.g., long approval times, complex documentation) and streamlines processes.

4. Pathao: Rider Satisfaction Survey

Idea Used: Closed-ended + Likert Scale How? Pathao asks riders:

• "How often do you use Pathao for deliveries?"
  • Daily
  • Weekly
  • Occasionally
• "Rate your satisfaction with Pathao’s rider communication:"
  • 1 (Poor) to [ ] 5 (Excellent)

Why? Helps Pathao improve rider-responsiveness and reduce delivery delays.

Common Mistakes to Avoid

Case Study: Himalayan Java’s Customer Feedback Questionnaire

Scenario: Himalayan Java wants to improve customer satisfaction with its online ordering system.

Questionnaire Design:

1. Introduction:

   "Thank you for your time! This survey helps us improve your experience with Himalayan Java’s online orders. Your feedback is confidential."

2. Demographics:

   • "How often do you order coffee online?"
     • Weekly
     • Monthly
     • Occasionally

3. Main Questions:

   • "What is your primary reason for ordering from Himalayan Java?"
     • Quality
     • Convenience
     • Price
     • Other: _______
   • "How satisfied are you with the delivery time?"
     • 1 (Very Dissatisfied) to [ ] 5 (Very Satisfied)

4. Open-ended:

   • "What would make you order more frequently?"

5. Closing:

   "Thank you! For feedback, contact: feedback@himalayanjava.com"

Outcome:

• Identified slow delivery in Kathmandu as a key issue → Partnered with Khalti Logistics for faster deliveries.
• Found lack of subscription options → Introduced monthly coffee subscription plans.

Exam Tip

What Examiners Look For:

1. Understanding of Questionnaire Types

   • Know the difference between structured vs. unstructured and when to use each.
   • Example: "When would you use an open-ended question in a business survey?" Answer: To gather qualitative insights (e.g., "What challenges do you face with online banking?").

2. Question Design Skills

   • Avoid: Leading, double-barreled, or ambiguous questions.
   • Example Question: "Explain why this is a bad question: ‘Don’t you think NTC’s internet is unreliable?’" Answer: It leads the respondent toward a negative response and assumes a bias.

3. Scaling Techniques

   • Recognize Likert, semantic differential, and rating scales.
   • Example: "How would you measure customer satisfaction with a 1-5 scale?" Answer: Use a Likert scale with anchors like "Very Dissatisfied" to "Very Satisfied."

4. Real-World Applications

   • Link questionnaire design to Nepali businesses (e.g., eSewa, Daraz, Nabil Bank).
   • Example: "How would you design a questionnaire for Pathao to improve rider performance?" Answer:
     • Use closed-ended questions for quantifiable metrics (e.g., "How many deliveries do you complete daily?").
     • Use open-ended questions for qualitative feedback (e.g., "What training would help you deliver faster?").

5. Questionnaire Structure

   • Remember the logical flow: Introduction → Demographics → Main Questions → Scaling → Open-ended → Closing.
   • Example: "What is the correct order for designing a questionnaire?" Answer: Follow the step-by-step structure shown in the flowchart above.

Common Exam Questions & How to Answer:

Final Checklist for Perfect Questionnaire Design

Before submitting your answer in the exam:

1. Does it have a clear introduction and closing?
2. Are questions logically ordered (simple to complex)?
3. Are all questions unambiguous and unbiased?
4. Does it include a mix of closed, open-ended, and scaling questions?
5. Does it tie to a real-world Nepali/global business example?

Visual representation of a 5-point Likert scale with anchors. (Image: Nicholas Smith vectorization: Own work, CC BY-SA 3.0, via Wikimedia Commons)