31 Quantitative Survey Research Questions: Survey Examples

2. Multiple-Choice Quantitative Survey Questions

Sample questions

1. “Which channel did you use for your most recent purchase?”

Select one: Company website / Mobile app / Physical store / Phone / Other

1. “Which of these services have you used in the past 30 days?”

Select all that apply: Home delivery / Store pickup / Live chat support / None of these

Multiple-choice quantitative survey questions let you group answers into categories. Your first job is to make single-select versus multiple-select instructions clear, so respondents know whether to pick one answer or several. See these close-ended survey questions for more examples.

Keep your quantitative research survey easy to answer and analyze:

• Make single-select categories nonoverlapping and complete. Include “Other” when your options may not cover everyone, because nobody enjoys being a missing category.

• Keep “None of these” exclusive. In online quantitative surveys, prevent respondents from selecting it alongside any service.

• For multiple-select questions, report the percentage of respondents choosing each option. These percentages can total more than 100% because one person can choose several answers.

• Treat category codes as labels, not measurements. Website = 1 and app = 2 does not make the app twice as valuable.

Why & When to Use

Use this quantitative survey format to compare categories, identify commonly used services, or segment respondents.

Plus, it works best when you already know the likely answers, so respondents can choose relevant options without writing their own.

Pew’s randomized experiment found yes/no questions increased reported undesirable experiences by eight percentage points, on average, versus select-all-that-apply lists (source).

3. Numeric-Response Quantitative Survey Questions

Sample questions

1. “How many online orders have you placed in the past 30 days?”

Answer format: Whole number, 0 or higher.

1. “Approximately how much did you spend on your most recent online order, excluding delivery fees?”

Answer format: Amount in the survey’s stated currency; include “Cannot recall.”

Numeric-response questions collect numeric data, not open-ended opinions, even though respondents enter their own answers rather than select options.

To keep your quantitative research survey clear and useful:

• Specify units, currency, and timeframe, and say whether estimates are acceptable. For spending, clarify which fees or taxes to include.

• Keep zero separate from missing answers and “Cannot recall.” Zero means none; a blank does not.

• Use reasonable ranges to flag likely errors, but let respondents confirm unusual, plausible answers. An extra zero deserves a second look, not an automatic eviction.

• Report medians alongside means when spending or purchase counts are skewed. A few unusually large values can pull the mean upward.

Why & When to Use

Use this quantitative survey format to measure quantities, spending, duration, and frequency when numeric precision matters.

Plus, quantitative surveys can offer predefined ranges when exact recall is difficult or the information feels sensitive, trading some precision for easier answering.

4. Likert-Scale Survey Questions: Agreement Examples

Sample questions

1. “The checkout instructions were easy to understand.”

2. “I trust this company to protect my personal information.”

For both statements, use: Strongly disagree / Disagree / Neither agree nor disagree / Agree / Strongly agree.

These quantitative survey questions let you measure agreement using consistent response choices, making attitudes easier to compare across respondents.

To keep your quantitative research survey clear:

• Measure one idea per statement. Avoid “easy and fast,” because your checkout might be simple but move at a snail’s pace.

• Use balanced response options, with equal numbers of agreement and disagreement choices, and keep the scale direction consistent.

• Offer “Not applicable” separately when needed. It means the statement does not apply, not that someone feels neutral.

Here’s the thing: one agreement statement is a Likert-type item. A multi-item Likert scale combines several related items to measure a broader construct, rather than grouping unrelated statements.

Plus, ordered responses do not automatically have equal numerical intervals. Coding responses from 1 to 5 does not prove that every step represents the same change in agreement.

Why & When to Use

Use this quantitative survey format to measure attitudes, perceptions, trust, or agreement.

For complex concepts such as trust, several carefully developed, tested items can capture different dimensions more effectively than one statement in your quantitative surveys.

Survey experiments found agree/disagree questions yielded less reliable responses than comparable questions with construct-specific response options (Saris et al.). For more guidance, see these good survey questions.

5. Numerical Rating-Scale Questions: Satisfaction and Likelihood

Sample questions

1. “Overall, how satisfied are you with your most recent support interaction?”
   Scale: 0 = Not at all satisfied; 10 = Completely satisfied.

2. “How likely are you to purchase from us in the next 30 days?”
   Scale: 0 = Not at all likely; 10 = Extremely likely.

Numerical rating questions give your quantitative survey a straightforward way to capture satisfaction or likelihood without making respondents write a mini memoir.

For a useful quantitative research survey, keep your rating scales consistent:

• Label both endpoints clearly, and keep the same number of scale points whenever you repeat a measurement.

• Ask respondents to rate experiences only when they have relevant experience. Use a screening question or offer “Not applicable.”

• Report response distributions alongside summary scores, so you can see whether an average hides sharply divided opinions.

Here’s the thing: numerical ratings evaluate satisfaction, likelihood, or performance, while agreement-based Likert items ask how strongly someone agrees with a statement.

Plus, stated purchase intention is not a promise of future behavior.

Why & When to Use

Use these quantitative survey questions to track satisfaction, likelihood, or perceived performance over time.

In quantitative surveys, ratings let you evaluate each subject independently, including giving several subjects the same score, unlike rankings, which ask you to place subjects in relative order.

6. Ranking Questions for Quantitative Research Surveys

Sample questions

1. “Rank these delivery features from most to least important: Price / Speed / Tracking accuracy / Flexible delivery times.”
   Instructions: Assign ranks 1–4; 1 = Most important; use each rank once.

2. “Rank your preferred support channels: Phone / Email / Live chat / Self-service help center.”
   Instructions: Assign ranks 1–4; 1 = Most preferred; use each rank once.

Ranking questions help your quantitative survey reveal what respondents put first, without letting every option claim the gold medal.

For a useful quantitative research survey, measure relative priorities, not the size of differences:

• Keep lists short to reduce respondent effort.

• Include only options your respondents can meaningfully compare.

• State whether ties are allowed. In the quantitative survey examples above, each rank must be used once, so ties are not allowed.

• Summarize first-choice shares and rank distributions rather than assuming equal gaps between ranks.

Here’s the thing: ranking speed above price tells you their order, not how much more important speed is.

Why & When to Use

Use ranking questions in quantitative surveys when your research requires prioritization or trade-offs, such as choosing which delivery feature to improve first.

Plus, prefer independent ratings when respondents may value several options equally. Your quantitative research survey should allow equal scores when those answers matter.

7. Best Practices for Writing Quantitative Research Survey Questions

Sample questions

1. “How many calendar days passed between placing and receiving your most recent order in the past 30 days?”
   Options: Number of days / Not received / Don’t remember.

2. “How satisfied were you with that order’s delivery?”
   Scale: 1 = Very dissatisfied to 5 = Very satisfied / Not applicable.

Your quantitative survey should connect every question to a measurable goal.

Dos

• Start with a measurable research question and map each item to a variable.

• Align your quantitative research survey: “Does satisfaction differ by delivery speed?” → delivery days plus satisfaction rating → compare satisfaction across delivery-time groups.

• Use neutral language, specific recall periods, and clearly defined answer options.

• Keep quantitative survey questions relevant to your target population; offer appropriate options like “Don’t know” or “Not applicable.”

• Pilot for comprehension, missing options, and completion burden.

• Plan coding, missing-data handling, and analysis before collection.

Don’ts

• Replace “How excellent was our service?” with “How would you rate our service?”

• Avoid “Was delivery fast and affordable?” That’s two questions wearing one hat.

• Avoid overlapping ranges such as 1–5 and 5–10.

• Don’t change wording or scales between survey waves without considering comparability.

• Don’t assume a large convenience sample represents everyone.

• Don’t treat survey correlations as proof of causation.

Why & When to Use

Use this checklist before launching quantitative surveys or revising an existing questionnaire, so your answers support the analysis you actually need.

8. Turn Quantitative Survey Insights Into Action

Sample questions

1. “How satisfied were you with your most recent delivery in the past 30 days?”
   Scale: 1 = Very dissatisfied to 5 = Very satisfied / Not applicable.

2. “How many days later than promised did that delivery arrive?”
   Options: On time or early / 1–2 days / 3–5 days / 6+ days / Don’t remember.

Your quantitative survey becomes useful when you connect findings to measurable decisions. A chart cannot fix delivery delays, even with excellent color coordination.

Connect Findings to Decisions

• Return to your original research question and summarize the findings most relevant to your decision.

• Compare relevant groups, such as customers receiving on-time versus late deliveries; report subgroup sizes and acknowledge sampling limitations.

• Prioritize practical importance, not percentages alone: consider the problem’s severity, reach, and cost.

Create and Measure an Action Plan

• If your quantitative research survey reveals low delivery satisfaction, investigate delays, test a service improvement, and repeat the same survey measures.

• Give each action an owner, deadline, and success metric, such as increasing average satisfaction from 3.2 to 4.0 within three months.

Why & When to Use

Use this process after analyzing quantitative surveys to turn findings into focused action.

For your next round, select question formats that match your variables, pilot your quantitative research questionnaire, and use results to guide measurable improvements.

How to Turn Survey Results Into Action

Numbers are only useful when they help you decide what to do next.

Here’s the thing, collecting responses is just the warm-up. If you want real value from examples of quantitative questions, you need to turn raw data into choices, changes, and smart next steps.

Why & When to Use

Use this step after collecting responses from any example of quantitative research questionnaire or example of questionnaire in quantitative research.

It is especially helpful when you are learning how to test quantitative research questions, because the goal is not just to admire the spreadsheet like it is modern art.

Start with the basics:

• Clean the data by removing incomplete, duplicate, or clearly invalid responses.

• Group responses by useful segments like age, department, customer type, or location.

• Compare averages, percentages, or rating patterns across those groups.

• Check whether the results support your research questions or hypotheses.

• Rank issues by size, urgency, and possible impact.

Plus, this is where examples of quantitative research questions and hypotheses become practical. If one group scores much lower than another, that may point to a training gap, policy issue, or product problem worth fixing.

Turn findings into action:

• Write clear recommendations.

• Run a small experiment before making a big change.

• Update training, processes, or policies.

• Improve a product, service, or communication strategy.

On top of that, every round of analysis helps you refine your next example of research question in quantitative research. Use what you learned to adapt these sample questions into a sharper, stronger example of quantitative questionnaires for your own study.