Your choice of questions determines how easily you can analyze responses. Here’s what to use:
Use Closed-ended questions (Best for stats!)
1. Likert Scale: On a scale of 1-5, how satisfied are you with our product? (1 = Very Dissatisfied, 5 = Very Satisfied)
2. Multiple Choice: What is your age group? (Under 18, 18-25, 26-35, etc.)
3. Yes/No: Have you used our service before?
Do not use open-ended questions (harder to analyze but useful for insights), like, What improvements would you suggest for our product?
When to use each?
Bad wording = bad data. Here’s how to keep it clear and neutral:
Avoid a leading question (Biased):
Don’t you think our product is amazing?
Don’t use Double-barreled questions (Confusing)
Do you find our product affordable and high-quality?
How would you rate our product?
Pro Tip: Keep questions short, simple, and jargon-free.
Your questionnaire is only as good as your respondents. Here’s how to reach the right people:
1. Random Sampling: Every person in your target group has an equal chance of being selected (best for generalizability).
2. Stratified Sampling: Split your population into subgroups (e.g., age, gender) and sample proportionally.
1. Online (best for speed & reach): Google Forms, SurveyMonkey, and Typeform.
2. Mail Surveys: Higher response rates if personalized.
3. In-Person/Paper: Useful for local studies (e.g., mall intercept surveys).
A university studying student satisfaction might:
1. Stratify by year (freshmen, sophomores, etc.).
2. Distribute via email with a gift card incentive.
Netflix sends short, targeted questionnaires after users watch a show:
1. How would you rate [Show Name]? (1-5 stars)
2. Would you recommend this to a friend? (Yes/No)
This data helps them predict trends and provide recommendations.
| Pitfall | Bad Example | Fix+ Good Example |
|---|---|---|
| |Leading question | Don’t you love our new feature? | Neutral: “How do you feel about our new feature?” |
| Low response rates | No incentive, long survey. | Incentives: “Complete this 5-minute survey for a $5 Amazon gift card! |
| Unclear scales | Rate our service: Good – Okay – Bad | Clear labels: “1 (Poor) – 5 (Excellent) |
1. Quantitative: Uses numbers (e.g., rate from 1 to 10).
2. Qualitative: Uses open text (e.g., Describe your experience).
1. Ideal: 10-15 questions (takes <5 mins).
2. Max: 20 questions (beyond this, people drop off).
Yes! Example:
1. Pre-test: “How often do you exercise?
2. Post-test (after a fitness app): Did the app increase your exercise frequency?
A well-designed questionnaire is your best friend in quantitative research. Follow these rules:
✔ Use mostly closed-ended questions for easy analysis.
✔ Keep wording neutral and simple—no leading questions!
✔ Pick the right sampling method (random or stratified).
✔ Boost responses with incentives (e.g., gift cards).
Now, you are all set to develop an actionable questionnaire for quantitative research that performs!