[{"data":1,"prerenderedAt":465},["ShallowReactive",2],{"kc-/knowledge/question-types-explained":3,"kc-clusters-/knowledge/question-types-explained":202,"kc-related-/knowledge/question-types-explained":203},{"id":4,"title":5,"author":6,"body":7,"date":166,"description":167,"draft":168,"extension":169,"faqs":170,"image":180,"isPillar":168,"meta":181,"navigation":182,"path":183,"pillar":184,"pillarName":185,"seo":186,"sources":187,"stem":196,"tags":197,"takeaways":200,"updated":166,"__hash__":201},"knowledge/knowledge/question-types-explained.md","Form Question Types, Explained","RoundPushPin Team",{"type":8,"value":9,"toc":158},"minimark",[10,14,19,22,51,55,66,132,136,142,146],[11,12,13],"p",{},"A form question type is the input format a question uses — short text, long text, multiple choice, dropdown, rating, opinion scale, yes/no, date, file upload — and it determines both the effort a respondent spends and the shape of the data you get back. Choosing the right type is part of asking the right question.",[15,16,18],"h2",{"id":17},"what-are-the-main-form-question-types","What are the main form question types?",[11,20,21],{},"They fall into a few families:",[23,24,25,33,39,45],"ul",{},[26,27,28,32],"li",{},[29,30,31],"strong",{},"Text"," — short text, long text, email, URL, phone, number. Flexible, but open text is costly to answer and to analyze.",[26,34,35,38],{},[29,36,37],{},"Selection"," — multiple choice, dropdown, radio, yes/no. Fast to answer and easy to analyze because answers are constrained.",[26,40,41,44],{},[29,42,43],{},"Scale"," — rating and opinion scales for measuring degree or sentiment.",[26,46,47,50],{},[29,48,49],{},"Special"," — date, file upload, and display-only statements.",[15,52,54],{"id":53},"when-should-you-use-open-text-vs-multiple-choice","When should you use open text vs multiple choice?",[11,56,57,60,61,65],{},[29,58,59],{},"Use closed (selection) questions for anything you'll analyze, and reserve open text for genuine nuance."," Open questions demand more effort, which invites ",[62,63,64],"em",{},"satisficing"," — respondents taking shortcuts when a question is burdensome (Krosnick, 1991) — and the free-text answers are far harder to compare. A well-built set of choices usually yields cleaner, more analyzable data than an open box.",[67,68,69,85],"table",{},[70,71,72],"thead",{},[73,74,75,79,82],"tr",{},[76,77,78],"th",{},"Aspect",[76,80,81],{},"Open text",[76,83,84],{},"Multiple choice",[86,87,88,100,111,121],"tbody",{},[73,89,90,94,97],{},[91,92,93],"td",{},"Effort to answer",[91,95,96],{},"Higher",[91,98,99],{},"Lower",[73,101,102,105,108],{},[91,103,104],{},"Ease of analysis",[91,106,107],{},"Hard (free text)",[91,109,110],{},"Easy (constrained values)",[73,112,113,116,119],{},[91,114,115],{},"Risk of satisficing",[91,117,118],{},"Higher on long forms",[91,120,99],{},[73,122,123,126,129],{},[91,124,125],{},"Best for",[91,127,128],{},"Genuine nuance, unknowns",[91,130,131],{},"Anything you'll measure",[15,133,135],{"id":134},"do-rating-scales-need-care","Do rating scales need care?",[11,137,138,141],{},[29,139,140],{},"Yes — the scale you offer shapes the answer."," Schwarz (1999) showed that the range and labeling of response options change how people respond, so use a consistent number of points, label them clearly, and keep scales balanced. An unbalanced or vague scale measures your design as much as the respondent's opinion.",[15,143,145],{"id":144},"how-question-type-connects-to-your-data","How question type connects to your data",[11,147,148,151,152,157],{},[29,149,150],{},"Because RoundPushPin maps each question to a typed database column, the question type you choose becomes the column's type — a rating is an integer, a date is a timestamp, a yes/no is a boolean."," That means the right type produces clean, ",[153,154,156],"a",{"href":155},"/knowledge/query-form-data-with-sql","queryable data"," automatically, with no parsing after the fact.",{"title":159,"searchDepth":160,"depth":160,"links":161},"",2,[162,163,164,165],{"id":17,"depth":160,"text":18},{"id":53,"depth":160,"text":54},{"id":134,"depth":160,"text":135},{"id":144,"depth":160,"text":145},"2026-02-20","Short text, multiple choice, rating scales, dates, file uploads — each question type collects a different kind of data. This guide explains when to use each and how the type you pick affects answer quality and analysis.",false,"md",[171,174,177],{"q":172,"a":173},"What are the main types of form questions?","They group into text (short/long, email, number), selection (multiple choice, dropdown, radio, yes/no), scale (rating, opinion), and special (date, file upload, statements). Selection and scale types are easiest to analyze.",{"q":175,"a":176},"When should I use a dropdown vs radio buttons?","Use radio buttons for a few mutually exclusive options the user should see at once; use a dropdown to save space when there are many options. Both store a single constrained value, which keeps analysis clean.",{"q":178,"a":179},"Are rating scales reliable?","They can be, if designed carefully: keep a consistent number of points, label them clearly, and keep the scale balanced. Research shows the range and labeling of options shape the answers, so scale design is part of measurement.","/images/knowledge/question-types-explained.png",{},true,"/knowledge/question-types-explained","conversational-form-design","Conversational form design",{"title":5,"description":167},[188,192],{"title":189,"url":190,"publisher":191},"Krosnick, J. A. (1991) — Response strategies for coping with the cognitive demands of attitude measures in surveys","https://doi.org/10.1002/acp.2350050305","Applied Cognitive Psychology",{"title":193,"url":194,"publisher":195},"Schwarz, N. (1999) — Self-reports: How the questions shape the answers","https://doi.org/10.1037/0003-066X.54.2.93","American Psychologist","knowledge/question-types-explained",[198,199],"question types","form design",[],"aEoTRuziAA3Wr8b9jGMGzdUl9_KafNRMahwZwwdQtIw",[],[204,342],{"id":205,"title":206,"author":6,"body":207,"date":305,"description":306,"draft":168,"extension":169,"faqs":307,"image":315,"isPillar":168,"meta":316,"navigation":182,"path":317,"pillar":184,"pillarName":185,"seo":318,"sources":319,"stem":331,"tags":332,"takeaways":337,"updated":305,"__hash__":341},"knowledge/knowledge/building-trust-in-forms.md","How to Build Trust in Your Forms (So People Complete Them)",{"type":8,"value":208,"toc":298},[209,212,216,226,230,248,252,263,267,278,282],[11,210,211],{},"A form asks people to hand over their data, and people only do that for a site they trust. Trust isn't a nice-to-have on a form — it's a precondition for completion, and it's especially fragile the moment you ask for something personal.",[15,213,215],{"id":214},"why-does-trust-matter-for-form-completion","Why does trust matter for form completion?",[11,217,218,221,222,225],{},[29,219,220],{},"Because submitting a form is an act of trust, and doubt converts directly into abandonment."," When credibility is low, people hesitate, skip fields, or leave — and the effect is sharpest on sensitive questions, where distrust drives both refusals and inaccurate answers (Tourangeau & Yan, 2007). Earning trust isn't separate from conversion; it ",[62,223,224],{},"is"," part of conversion.",[15,227,229],{"id":228},"what-makes-a-form-look-trustworthy","What makes a form look trustworthy?",[11,231,232,235,236,239,240,243,244,247],{},[29,233,234],{},"The elements people notice, and the meaning they assign to them."," Fogg's ",[62,237,238],{},"Prominence-Interpretation Theory"," (2003) explains online credibility as a two-step process: a person has to ",[29,241,242],{},"notice"," an element (prominence), then ",[29,245,246],{},"interpret"," it as good or bad. So trust on a form is built from noticeable, positively-interpreted cues — a clean, professional design, a real organization clearly behind the form, plain language, and no jarring or excessive questions (Nielsen Norman Group). Sloppiness and surprises read as risk.",[15,249,251],{"id":250},"how-do-you-reassure-people-about-their-data","How do you reassure people about their data?",[11,253,254,257,258,262],{},[29,255,256],{},"Tell them what you'll do with it, why you're asking, and prove you ask for little."," Concretely: state the purpose in plain language, link a privacy notice near the submit action, keep the form ",[153,259,261],{"href":260},"/knowledge/what-to-ask-on-a-form","minimal",", and when you must ask something sensitive, explain why and place it late — after the person has invested effort. Transparency is what lowers the refusals that distrust causes (Tourangeau & Yan, 2007).",[15,264,266],{"id":265},"do-trust-signals-actually-change-behaviour","Do trust signals actually change behaviour?",[11,268,269,272,273,277],{},[29,270,271],{},"Yes — but only the ones people notice and believe."," Prominence-Interpretation Theory is a useful filter: a trust cue does nothing if it isn't noticed, and backfires if it's interpreted as hollow. Genuine signals (a real company, a clear privacy explanation, a short honest form) beat generic badges. Test which cues move ",[153,274,276],{"href":275},"/knowledge/form-completion-rate","completion rate"," for your audience rather than assuming.",[15,279,281],{"id":280},"how-roundpushpin-helps-you-earn-trust","How RoundPushPin helps you earn trust",[11,283,284,287,288,292,293,297],{},[29,285,286],{},"RoundPushPin supports trustworthy forms by default: clean conversational design, minimal relevant questions, and self-hosted data you genuinely control."," Because responses live in ",[153,289,291],{"href":290},"/knowledge/self-hosted-forms","your own database",", \"we keep your data private\" isn't a slogan — you decide where it lives and how long you keep it, which is the substance behind ",[153,294,296],{"href":295},"/knowledge/gdpr-compliant-forms","GDPR-compliant"," trust claims.",{"title":159,"searchDepth":160,"depth":160,"links":299},[300,301,302,303,304],{"id":214,"depth":160,"text":215},{"id":228,"depth":160,"text":229},{"id":250,"depth":160,"text":251},{"id":265,"depth":160,"text":266},{"id":280,"depth":160,"text":281},"2026-03-16","People won't hand over data to a form they don't trust. This research-backed guide covers how visitors judge credibility, the trust signals that matter on forms, and how to reassure people about their data.",[308,310,312],{"q":215,"a":309},"Filling in a form means handing over data, which people only do when they trust the site. Low credibility raises hesitation and abandonment — and on sensitive questions, distrust increases refusals and misreporting.",{"q":229,"a":311},"Credibility comes from elements people notice and judge positively — clear design, a real organization behind it, plain language about why you ask, visible privacy/security cues, and no surprising or excessive questions.",{"q":313,"a":314},"How do you reassure people about their form data?","Tell them plainly what you'll do with it and why each question is asked, link a privacy notice, keep the form minimal, and place any sensitive question late with an explanation. Transparency reduces refusals.","/images/knowledge/building-trust-in-forms.png",{},"/knowledge/building-trust-in-forms",{"title":206,"description":306},[320,324,327],{"title":321,"url":322,"publisher":323},"Fogg, B. J. (2003) — Prominence-Interpretation Theory: explaining how people assess credibility online","https://doi.org/10.1145/765891.765951","CHI '03 / Stanford Web Credibility Project",{"title":238,"url":325,"publisher":326},"https://www.nngroup.com/articles/prominence-interpretation-theory/","Nielsen Norman Group",{"title":328,"url":329,"publisher":330},"Tourangeau, R. & Yan, T. (2007) — Sensitive questions in surveys","https://doi.org/10.1037/0033-2909.133.5.859","Psychological Bulletin","knowledge/building-trust-in-forms",[333,334,335,336],"trust","credibility","conversion","research",[338,339,340],"People only submit data to a form they trust — low credibility raises hesitation and abandonment.","Credibility is what users notice and how they interpret it (Fogg's Prominence-Interpretation Theory).","Reassure with clear purpose, visible privacy cues, minimal asks, and sensitive questions placed late.","tzUin9YU-8HMjkplypyURGhSFed0__aoIDxr88QnEPQ",{"id":343,"title":344,"author":6,"body":345,"date":435,"description":436,"draft":168,"extension":169,"faqs":437,"image":446,"isPillar":168,"meta":447,"navigation":182,"path":260,"pillar":184,"pillarName":185,"seo":448,"sources":449,"stem":456,"tags":457,"takeaways":460,"updated":435,"__hash__":464},"knowledge/knowledge/what-to-ask-on-a-form.md","What to Ask (and Not Ask) on a Form",{"type":8,"value":346,"toc":428},[347,350,354,367,371,377,381,395,399,409,413],[11,348,349],{},"Every field on a form is a trade: more data for you, more effort and more drop-off for the respondent — and, for personal data, more legal exposure. Deciding what to ask, and what to leave off, is one of the highest-leverage choices in form design.",[15,351,353],{"id":352},"how-do-you-decide-which-fields-to-include","How do you decide which fields to include?",[11,355,356,359,360,363,364,366],{},[29,357,358],{},"Work backward from what you'll actually do with each answer."," If a field doesn't route the response, qualify a lead, personalize a follow-up, or satisfy a genuine requirement, it shouldn't be there. This is also the GDPR principle of ",[29,361,362],{},"data minimisation"," — collect only what's necessary for your stated purpose (Article 5). Minimisation is both good law and good ",[153,365,276],{"href":275},".",[15,368,370],{"id":369},"what-should-you-not-ask-on-a-form","What should you not ask on a form?",[11,372,373,376],{},[29,374,375],{},"Anything you won't use — and sensitive data you don't truly need."," Beyond the obvious \"cut vanity fields\", be careful with sensitive topics. Tourangeau and Yan (2007) found that sensitive questions produce more misreporting and more refusals, so adding them costs you both data quality and completions. If you don't need it, don't ask it.",[15,378,380],{"id":379},"how-do-sensitive-questions-change-your-data","How do sensitive questions change your data?",[11,382,383,386,387,390,391,394],{},[29,384,385],{},"They lower honesty and raise refusals — so ask them sparingly and carefully."," When a question feels intrusive or socially loaded, people skip it or answer inaccurately (Tourangeau & Yan, 2007). If you genuinely need sensitive information: explain ",[62,388,389],{},"why"," you're asking, keep it optional where you can, and place it late — after the respondent has invested effort and has some reason to trust you (see ",[153,392,393],{"href":317},"building trust in forms",").",[15,396,398],{"id":397},"should-fields-be-required-or-optional","Should fields be required or optional?",[11,400,401,404,405,408],{},[29,402,403],{},"Require only what you truly need to proceed; defer or drop the rest."," Forcing optional fields to be mandatory inflates abandonment and breeds junk answers from respondents who ",[62,406,407],{},"satisfice"," under pressure (Krosnick, 1991). A short set of genuinely-required fields plus optional or progressively-collected extras beats one long required form.",[15,410,412],{"id":411},"how-roundpushpin-helps-you-ask-the-right-things","How RoundPushPin helps you ask the right things",[11,414,415,418,419,423,424,366],{},[29,416,417],{},"RoundPushPin makes minimal, relevant forms easy — and keeps the data typed and queryable so you only collect what you'll use."," Graph-based ",[153,420,422],{"href":421},"/knowledge/conditional-logic-in-forms","conditional logic"," shows sensitive or follow-up questions only when relevant, and because every field maps to a typed column, it's clear exactly what you store — the foundation of ",[153,425,427],{"href":426},"/knowledge/form-data-ownership","data ownership and privacy",{"title":159,"searchDepth":160,"depth":160,"links":429},[430,431,432,433,434],{"id":352,"depth":160,"text":353},{"id":369,"depth":160,"text":370},{"id":379,"depth":160,"text":380},{"id":397,"depth":160,"text":398},{"id":411,"depth":160,"text":412},"2026-03-14","Every field you add costs completion and risk. This research-backed guide explains how to decide what to ask, what to leave off, and how sensitive questions change both your data quality and your legal exposure.",[438,441,443],{"q":439,"a":440},"How do you decide which fields to put on a form?","Start from what you'll actually do with each answer. If a field doesn't route, qualify, personalize, or fulfil a real need, cut it. Every field costs completion, and under GDPR you should collect only what's necessary.",{"q":370,"a":442},"Anything you won't use, and sensitive data you don't truly need — research shows sensitive questions raise misreporting and refusals. If you must ask something sensitive, explain why, make it optional where possible, and ask it late.",{"q":444,"a":445},"Should form fields be required or optional?","Make required only what you genuinely need to proceed; mark the rest optional or defer it. Forcing optional fields to be required inflates abandonment and encourages junk answers.","/images/knowledge/what-to-ask-on-a-form.png",{},{"title":344,"description":436},[450,451,452],{"title":328,"url":329,"publisher":330},{"title":189,"url":190,"publisher":191},{"title":453,"url":454,"publisher":455},"Regulation (EU) 2016/679 (GDPR) — Article 5, data minimisation","https://eur-lex.europa.eu/eli/reg/2016/679/oj","EUR-Lex, European Union","knowledge/what-to-ask-on-a-form",[458,362,459,336],"question design","privacy",[461,462,463],"Decide fields by what you'll act on — every field costs completion, and GDPR says collect only what's necessary.","Sensitive questions increase misreporting and refusals (Tourangeau & Yan, 2007); ask them only if needed, and late.","Keep required fields minimal; defer or drop the rest rather than forcing them.","bxIdGpoSliDGGguGfP_6vI3hYQzp3v9UMUBAZvuyqU4",1780692425941]