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Membership & networks · Practical guide

Closed-Ended Questions: Examples, Design and Analysis

Write closed-ended questions with clear options, practical examples and a worked analysis. Plan useful ratings, missing-data rules and comparable results.

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What is a closed-ended question?

A closed-ended question asks someone to choose from predefined answers. “Which session did you attend?” with a list of sessions is closed-ended. “What would you change about the session?” with a text box is open-ended. Closed questions produce categories or ratings that are usually straightforward to summarize, provided the choices mean what you intend.

Use them when you know the relevant possibilities and need a consistent answer across respondents. They can establish eligibility, record participation, measure a rating or compare experiences. They cannot capture an unexpected experience unless you provide a suitable way to describe it. Neither format is automatically better: choose the question that supplies the evidence for your decision.

This guide covers examples, answer design and a worked analysis. For the wider questionnaire, see survey question types.

Closed-ended question examples

The following examples are starting points for a pilot, not validated instruments. Adjust the language, time period and options to the people you are asking.

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PurposeQuestion and answersDesign decision
Confirm participationDid you attend any sessions in June? Yes; No; Not sure.A defined period is easier to interpret than “recently.”
Choose one channelWhich channel would you prefer for the next reminder? Email; Text message; Telephone call; No reminder; Other.Ask for one preference, not every channel someone uses.
Record several activitiesWhich activities did you use this quarter? Advice session; Workshop; Online resource; None of these.Allow several selections but make “None” exclusive.
Rate an experienceHow easy was it to complete registration? Very difficult; Somewhat difficult; Neither easy nor difficult; Somewhat easy; Very easy.Ask only people who attempted registration.
Measure frequencyOn how many days last week did you use the resource? 0; 1–2; 3–4; 5–7.These bands cover whole days without overlap.
Assess agreementI know where to ask for help. Strongly disagree; Disagree; Neither agree nor disagree; Agree; Strongly agree.This is one agreement item; it does not by itself validate a broader confidence scale.

A number entered freely into a box is a numeric response, but it is not necessarily closed-ended in the same sense as choosing from fixed options. If exact counts matter, a numeric entry may be more useful than bands. If people can only estimate, asking for an exact number can create false precision.

When should you use closed-ended questions?

Start with the decision. A membership team deciding when to run an event may need a preferred time slot. A support team reviewing registration needs a difficulty rating. A program team tracking attendance may be better served by an attendance record than by asking participants to recall it.

Closed questions work well for known categories, consistent recurring measures and routing people to relevant questions. They also make a short survey possible. They are weaker when you have not yet learned the vocabulary or range of experiences that respondents would use.

For an unfamiliar topic, first use conversations or a small exploratory questionnaire to learn the likely answers. Then test whether the proposed choices cover them. A long list of guesses is not a substitute for understanding the audience.

Closed-ended versus open-ended questions

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Question formatUseful forLimitation to manage
Closed-endedCounting known categories, ratings and repeated measuresPeople must fit their experience into your choices.
Open-endedDiscovering unexpected experiences, examples and suggestionsInterpretation takes care; some respondents may not write an answer.
Closed question with optional follow-upA comparable measure with additional context where usefulPeople who comment may differ from those who do not.

Do not add a required explanation after every question. A preferred reminder channel may be sufficient on its own. A difficulty rating could benefit from one optional question: “What, if anything, made registration difficult?” Add the follow-up because the answer could change a decision, rather than because a number is inherently incomplete.

A comment describes the respondent’s account. It may suggest a reason to investigate; it does not prove what caused a score or a later outcome. Keep that distinction when reporting ratings alongside quotations.

How to write useful answer options

Ask one thing in a defined context

“Was registration quick and easy?” combines speed and difficulty. Someone may find a long process easy. Separate those concepts if both matter. Name the activity and period, and avoid language that assumes a good or bad experience.

Cover the reasonable answers without overlapping them

For a single-choice question, a person should not have to choose between two equally correct categories. Use “0–2,” “3–5” and “6 or more” for whole-number counts, rather than “0–3” and “3–6.” Consider whether “Other,” “Not applicable,” “Don’t know” or “Prefer not to answer” is appropriate. These answers have different meanings.

Pew Research Center’s question-writing guidance emphasizes answer coverage, nonoverlapping categories and the effects that option order can have. Test the wording and the answer set together, since both shape what respondents can tell you.

Keep ordered scales in a meaningful order

Show ratings from one end of the scale to the other. Do not shuffle agreement levels. For an unordered list of activities, consider whether order could favor the first items; any randomization should preserve special options such as “None.” Keep the choice understandable on a phone and with assistive technology.

Explain whether someone can choose one or several

“Which is your main reason?” calls for one answer. “Which reasons applied?” allows several. These are different questions and produce different percentages. Do not switch between them in a later wave and treat the results as directly comparable.

Separate routing from a negative answer

Someone who did not use a service should usually skip its satisfaction question. A skipped question is not a low rating, a neutral rating or a zero. Record the distinction in the data and test it in the survey logic.

How to analyze closed-ended questions

First count who was eligible, who answered and which responses are valid for each calculation. Then choose a summary that fits the question: category counts for a preference, distributions for a rating and clearly defined percentages for multiple selections. A numerical code attached to a category does not make averaging it meaningful.

Worked example: a fictional network receives 120 survey responses. Of these, 100 people attended an event and were eligible for its rating question. Ninety rate it: 15 poor, 20 fair, 35 good and 20 excellent. Ten eligible attendees leave it unanswered; 20 nonattendees were not asked.

  • Valid rating coverage is 90 ÷ 100 = 90% of eligible attendees.
  • Good or excellent ratings are (35 + 20) ÷ 90 = 61.1% of valid ratings.
  • The result is not 55 ÷ 120: nonattendees did not rate an experience they had not received.

Show the distribution as well as any combined positive percentage. Define “positive” before comparing waves. In this example, changing it later to include “fair” would change the measure even if no respondent changed their answer.

For a separate multiple-choice question, suppose 100 people answer and 60 select email while 50 select text. Report 60% selecting email and 50% selecting text, with multiple selections allowed. The percentages can exceed 100% in total because the same person may select both.

If 30 event attendees also leave comments, analyze themes within those 30 comments and report that coverage. Do not assume a theme found in 12 comments explains every low rating. Read the original comments before deciding what to change.

How do different teams collect comparable answers?

A network does not always need one identical survey. Local teams may ask about different activities while retaining a small set of shared measures needed for comparison. Agree on those measures first: question meaning, eligible audience, period, options and calculation.

For example, branches can ask their own questions about local events while sharing one registration-ease item for people who used the same registration process. If one branch asks about telephone registration and another about an online form, record that context before combining them.

Maintain a data dictionary with the shared field name, wording, answer codes, missing-value rules and version. Store stable registration details once where appropriate, and confirm details that can change. Do not copy personal information into every questionnaire merely to make aggregation convenient.

An anonymous response can contain both a rating and a comment under one submission record. Personal identity is only necessary when the purpose requires it, such as authorized individual follow-up or matching someone across waves. Group comparisons can often use suitable group and period fields instead.

Put the answers into a maintained workflow

A useful survey process continues after the chart. Someone needs to review the results, check coverage, explain important differences and own the next action. For a recurring network survey, plan that work before sending the first invitation.

Sopact’s relevant approach is to bring collection, contextual analysis and governance into a workflow the operational team can maintain. Evaluate it with your real questions: can the team review ratings and comments together, keep source context, apply agreed definitions and control which findings are shared? Verify the configuration and access needed for your organization.

Ordinary survey tools can store closed and open answers together. The practical question is how much work your team needs to maintain the whole process across sources, periods and contributors. A pilot should include a missing answer, a changed option, a local question and an appropriate reporting view, rather than only a clean demonstration dataset.

Before you send the survey

  • Every question supports a decision or a necessary record.
  • The wording names one concept and a clear period.
  • Choices cover realistic answers without accidental overlap.
  • One-choice and multiple-choice instructions are explicit.
  • Not applicable, skipped and unanswered values remain distinct.
  • A few intended respondents have tried the questions on their usual devices.
  • The analysis plan identifies denominators and comparison limits.
  • A named person will review findings and communicate the next step.

Frequently asked questions

Are yes-or-no questions closed-ended?

Yes. They offer predefined answers. Include another option when a truthful answer may be unknown or not applicable, and avoid forcing a yes-or-no choice for a more complex experience.

Are closed-ended questions always quantitative?

They produce structured categories or ratings that can be counted. A category such as preferred channel is not a numerical quantity, even if the data file assigns it a number.

Should every closed question have a comment box?

No. Add an optional follow-up when context would help a decision. Requiring an explanation after every answer can make a short survey unnecessarily demanding.

Can closed-ended questions be anonymous?

Yes. A submission can hold ratings and comments without collecting a person’s name. Decide separately whether individual follow-up or matching across waves is needed and appropriate.

How many response options should I use?

Use enough to represent meaningful answers while keeping the question understandable. There is no single ideal number for every purpose; test the options with the intended respondents.