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Open & Closed Questions: Comparison, Difference

Open or closed, the phrasing decides more than the format does. We explain when each form works, what the semi-open hybrid adds and how UK government guidance labels them.

Author at empirio.ai - Maria Malzewby Maria MalzewUpdated 27 August 2026Reading time 12 min

Picture a local council asking residents about a proposed cycle lane. One version of the form offers a five point scale running from strongly support to strongly oppose, another version leaves a blank box under the words “What should the council know before it decides?”. Both forms ask about the same stretch of road, and yet the two piles of answers will look nothing alike.

Open questions let respondents answer freely, closed questions supply the choices in advance. Only the response format separates them: both forms demand the same mental work of understanding and remembering, and they part company at the final step, when an answer has to take its shape. By the end of this article you will know which form suits your research question and how to combine the two sensibly.


📌 The key points at a glance

  • Closed questions supply the answers, open questions leave a text box.
  • UK government guidance recommends at least a 5-point rating scale.
  • GESIS distinguishes three response formats rather than two.
  • Semi-open questions pair a set list with a field for anything else.
  • Question form decides only the last of four mental steps.

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Closed vs. open questions

Closed and open questions differ in exactly one respect: with a closed question the answer choices already stand in the questionnaire, with an open question respondents word the answer themselves. Everything else, from the analysis to the strength of your conclusions, follows from that single decision.

Closed questions produce quantitative data, meaning numbers you can count and compare. Open questions produce qualitative data, meaning text that has to be sorted before it can be counted. Rather than a question of effort, the choice is a question of what you want to learn: whoever needs to know how many needs categories, and whoever needs to know why needs the words of the respondents themselves.

Guidance written for UK government surveys draws the same line. The Questionnaire design guidance of the Government Analysis Function, owned by the Data Quality Hub at the Office for National Statistics and published on 14 March 2023, treats the response options as a design decision in their own right and sets separate rules for open questions, limited choice questions and multiple choice questions. Accessed for this article on 27 August 2026, the page carries a notice that it is under review and awaiting updates.

FeatureClosed questionsOpen questions
Response formatchoices are givenfree text field
Kind of dataquantitativequalitative
Effort for respondentslowhigh
Analysiscount the answerscode first, then count
New contentnot possibleexpressly possible
Typical riskthe list skews the resultdrop-outs or empty fields

Both forms appear in surveys of every kind, in person as much as in an online survey. The difference in the response format stays the same throughout, only the analysis usually costs less time online.

What is a closed question?

A closed question supplies the answer choices, and respondents select one or several of them. Your questionnaire settles in advance which answers are possible at all, and precisely there sit both the strength and the weakness of this form.

Underneath the familiar two-way split hides a distinction that matters a great deal in practice. Lenzner and Menold (2015) separate not two but three response formats in the German-language GESIS Survey Guidelines on question wording: open questions, closed questions with a rating scale and closed questions without one. Separate rules apply to each of the two closed forms.

Closed questions with a rating scale

A rating scale grades the answer choices along a single dimension, running for instance from very important to not at all important, and respondents place themselves somewhere on it. On the length of that scale the Government Analysis Function is precise: “A minimum of a 5-point Likert scale is recommended as one of the most reliable ways to measure degrees of opinions, perceptions, and behaviours. A 7-point Likert scale gives even more detailed answers for analysis.”

Where the middle of a scale sits matters just as much as the number of steps. Guidance from the same source states that the scale “ranges from one extreme to the other and should always include a neutral option in the middle of the scale”. Because the sequence itself carries meaning, the order of a rating scale stays fixed for every respondent.

Closed questions without a rating scale

A list without any internal grading covers cases such as degree subjects or political parties. UK government guidance splits that case in two, using limited choice question for a question with exactly one permitted answer (single-choice questions) and multiple choice question for one that allows several (multiple-choice questions). Since no natural order exists, the position in the list influences the choice, and randomising the order for each respondent evens that out.

Order still matters in one deliberate way. The same guidance advises you to “put response categories that are more socially desirable than others at the end of the list”, and it explains that placing them last helps to reduce bias.

Examples of closed questions

  • What is your favourite city in the UK? Edinburgh, Cardiff, Bristol, York
  • Have you ever been to York? Yes, no
  • How would you rate your last holiday? From very good to very poor
Respondent view of an empirio.ai survey showing a closed question with the given answer options

Answer categories have to be exhaustive and mutually exclusive, and the Government Analysis Function adds a practical limit on top: “find a balance in the number of categories”. Too many categories cause respondent burden, too few may not reflect where a respondent actually stands. How you build such categories and how many steps a scale can carry is set out at length in the article on closed questions.

What is an open question?

An open question offers no answer choices at all, only the question text and an empty field. Respondents answer in their own words, and those words are the result that no list of options could ever produce.

Open questions usually start with one of the classic question words, so with why, how, what or which. Yet the question word alone does not make a question open. What counts is whether the question can be answered with a plain yes or no: “Do you know why Edinburgh is such a popular place to visit?” invites a curt yes, while “Which reasons speak for Edinburgh?” does not.

On the question of when to reach for the format, the Government Analysis Function is unambiguous: “Open-ended questions are suitable for exploratory phases when there is not enough information to develop appropriate categories.” Whenever you cannot yet name the categories, in other words, a blank box is not laziness but the only honest option.

Examples of open questions

  • Why is Edinburgh your favourite city?
  • What do you dislike about Bristol?
  • Which other cities have you travelled to?
  • What would you like to tell us before you finish?
Respondent view of an empirio.ai survey showing an open question with a blank text box

Free text costs your respondents time, which is why a questionnaire rarely carries more than a handful of open questions. How you code those answers afterwards and still arrive at numbers is shown in the article on open questions.

Semi-open questions: the hybrid of both

A semi-open question offers a list of answer choices and adds a free text field, usually labelled “other, please specify”. You get countable categories and still keep whatever escaped you while you were building the list.

In the literature the same form travels under several names, since semi-open, partly open and semi-closed all mean the same thing. Lenzner and Menold (2015) recommend the other category expressly for every case in which the possible answers cannot be listed in full, and with substantive questions that is the rule rather than the exception. UK government guidance arrives at the same place from another direction, because its own worked example of a response list ends with an other category.

Without that category two things can happen, and neither of them is good. When an obvious answer is missing, a question either stays unanswered, or something gets ticked at random. Annoying in the first case, dangerous in the second, because a random tick looks like a result in the analysis rather than like an error.

When the hybrid form pays off

Semi-open questions make sense whenever you know the subject area well but not completely. A question about how someone travels to work covers almost everything with six categories, from car and bus to train, tram, bicycle and on foot, but not the cargo bike and not the campervan. Equally, the form pays off at the end of a questionnaire, where one open question about anything remaining often yields the most usable pointers.

What you have to watch

The free text field belongs directly beside its category and not in a question of its own, otherwise nobody sees it. In the analysis you handle these answers separately: first you check whether several of them merge into a new category, then you count them alongside the given ones. Government guidance also advises you to “include a ‘Don’t Know’ or ‘Unsure’ option at the end of all your response categories, where appropriate”.

💡 Tip

Read the other answers once about 30 people have taken part. When the same thing turns up three times, you can still add the category to the list while the survey is running.

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The wording of the questions matters

Question wording decides more about the quality of your data than the question form does, and a solid reason stands behind that: of the four mental steps a respondent goes through, the question form touches only the last one.

Lenzner and Menold (2015) describe this response process after Tourangeau as four tasks in the German-language GESIS Survey Guidelines: understanding the question, retrieving the relevant information, forming a judgement from it and expressing that judgement in the given format. Whether you ask openly or with fixed choices takes effect only at the fourth stage. The first three hang entirely on the question text, and there arise the errors that no amount of later work can repair.

What every question has to satisfy, whatever its form

  • One issue per question, never two stimuli at once.
  • No jargon, technical terms or abbreviations in the question text.
  • No vague words such as often or recently.
  • No double negatives, and ideally no negation at all.
  • No leading questions, both alternatives spelled out.
  • Short active sentences instead of passives and nominalisations.

An example from the same source shows how quickly this goes wrong. The statement that the state must ensure a decent living in illness, hardship, unemployment and old age carries four issues at once. Anyone who supports three of them and rejects the fourth cannot answer the question, and anyone who answers regardless produces a number that nobody can interpret afterwards.

⚠️ Watch out

Plain language is not a nicety in a UK survey. The Government Analysis Function puts the target plainly: “Remember the average reading age in the UK is 9 years old.” Read every question aloud before you send it, and rewrite anything a nine-year-old would stumble over.

No answer list in the world can rescue a badly worded question.

Final decision

Which question form you take is decided by the kind of statement you want to make at the end. Do you need shares, comparisons and charts, then the road runs through closed questions. Do you need reasons, phrasings and new aspects, then you need open ones.

For the typical standardised survey one weighting has proved itself: mostly closed questions for the measurable content, plus a few open ones at the points where the why interests you. Such a mixture keeps the analysis workload manageable without giving up the explanations your respondents can offer.

Your goalSuitable question formThe reason behind it
Report shares and comparisonsclosedcountable straight off, with no rework
Understand the reason behind an answeropen, as a follow-upa list of choices does not know the reason
Explore an unfamiliar subject areaopencategories cannot be formed yet
Ask about an almost complete listsemi-opencatches the cases you overlooked
Reach many respondents quicklyclosedlowest effort for the respondents
Collect quotable statementsopenonly original wording can be quoted

Which further question forms you will meet in a questionnaire, from the matrix to the ranking, is sorted out in the overview of question types in surveys.

Conclusion

Choosing between open and closed questions is not a matter of taste but an anticipation of the analysis: whatever you fix as a category up front you can count later, and whatever you leave open you have to sort out later. Yet neither of the two forms decides on its own how good your data turns out.

Question wording does, and that is the same work in both cases. Whichever form you settle on, the Government Analysis Function guidance gives you a workable benchmark for a UK audience: one issue per question, a rating scale of at least five points with a neutral middle, an other category wherever the list may fall short, and language a nine-year-old could follow.

Where to go next

The UK rules quoted here come from the Questionnaire design guidance of the Government Analysis Function, published on 14 March 2023 and accessed on 27 August 2026, and the German-language rules on question wording are published in full by Lenzner and Menold (2015).


Want to try both question forms side by side?

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Frequently asked questions

Response format is the only thing that separates the two. Closed questions list the answer choices in advance and respondents pick from that list, whereas open questions give the question text and a blank box. Everything else follows from that split, because a closed question yields countable categories while an open one yields text that has to be coded first.

A closed question supplies fixed answer choices from which respondents select one or several. UK government guidance splits the form further, calling a question with exactly one permitted answer a limited choice question and a question allowing several a multiple choice question. GESIS adds a third split between closed questions with a rating scale and those without one.

Yes-no questions, answer lists and rating scales are the everyday examples. Asking whether someone has ever been to York, with yes and no as the options, is a closed question, and so is asking for a favourite UK city from Edinburgh, Cardiff, Bristol and York. Rating a holiday from very good to very poor works the same way.

Semi-open questions combine a set list of choices with a free text field, usually labelled other, please specify. Partly open and semi-closed name the same form. Lenzner and Menold (2015) recommend such a category wherever the possible answers cannot be listed in full, and UK government guidance includes an other category in its own worked example.

Open questions earn their place when the possible answers are not yet known. Government Analysis Function guidance states that open-ended questions are suitable for exploratory phases when there is not enough information to develop appropriate categories. Equally, a single open question works well as a follow-up after a closed one, or at the end of a questionnaire.

Neither form is better in principle, because the two answer different kinds of research question. Closed questions are the right choice when shares, comparisons and charts are wanted, open questions when reasons and original phrasings matter more. Question wording decides the quality of your data far more than the choice between the two formats does.

A proven mixture leans on closed questions for the measurable content and adds a few open ones wherever the reason behind an answer matters. Beyond that, any answer list can be built semi-open by adding an other category with a text field. Government guidance also suggests an unsure option at the end of the categories where appropriate.

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