アンケートテンプレート

AI・テクノロジー

Entertainment Chatbot Engagement & Satisfaction Survey

Measures how often people use an entertainment chatbot (companionship, roleplay, humor, storytelling), what keeps them coming back, and where the experience falls flat — with an AI follow-up that reconstructs a specific memorable conversation to surface what actually made it feel fun, believable, or disappointing. Built for product and content teams shipping character or entertainment-focused AI experiences.

顧客体験

Senior Living Family Member Satisfaction Survey

For families of residents in assisted living, memory care or skilled nursing. It measures communication, care, responsiveness to concerns and value for cost, and an AI follow-up reconstructs the last time the family raised a concern and how it was handled.

開発・エンジニアリング

Legacy Software Modernization Readiness Assessment

For software agencies scoping a modernization project, or IT teams planning one. It rates pain in the current system, ranks the goals that matter, and checks timeline, constraints and in-house capacity. An AI follow-up walks through the last time the old system blocked the business.

顧客体験

Senior Living Family Member Satisfaction Survey

For families of residents in assisted living, memory care or skilled nursing. It measures communication, care, responsiveness to concerns and value for cost, and an AI follow-up reconstructs the last time the family raised a concern and how it was handled.

顧客体験

Senior Living Resident Satisfaction Survey

A short, large-print-friendly survey for residents of independent living, assisted living and memory care communities. It covers staff, care, meals, activities, safety and whether residents would recommend the community, and an AI follow-up asks about one change that would make daily life better.

顧客体験

Simple Feedback Form

A short feedback form for an event, class, workshop or service: a star rating, what went well and what to improve, with an optional contact for follow-up.

プロダクト・UX

Website Usability, Trust & Loyalty Assessment (SUPR-Q Style)

Measures perceived website quality across the four standard SUPR-Q factors — usability, trust/credibility, appearance, and loyalty — plus an NPS-style likelihood-to-recommend score. Built for UX and product teams who want a repeatable internal quality read (this template does not include or claim external benchmark norms). The AI follow-up digs into the specific moment behind the respondent's lowest-scoring factor.

プロダクト・UX

E-Commerce Website Shopping Experience Survey

Measures how easily shoppers find products, move through checkout, and trust your site with their payment details — with an AI follow-up that reconstructs the exact moment shoppers got stuck or almost abandoned their cart, rather than just a satisfaction score.

プロダクト・UX

Graphic Design Request Intake & Creative Brief Survey

Captures a complete brief for an internal or client graphic design request — project type, goal, audience, brand constraints, and priority trade-offs — so designers stop guessing what 'good' looks like. An AI follow-up interview digs into the real goal behind the ask and surfaces conflicting stakeholder expectations before work begins.

リサーチ

Clinical Trial Participant Experience & Retention Survey

For sponsors, CROs and research sites to hear from people taking part in a clinical study. It measures consent clarity, visit burden, travel, staff and the costs of taking part, without asking about health details. An AI follow-up finds the hardest part of staying in the study and what would make it easier.

リサーチ

Social confidence Likert scale

Ten statements about confidence around other people from the public-domain International Personality Item Pool (IPIP, ipip.ori.org), the set Open Psychometrics scores as Social confidence. Each is answered from Strongly disagree to Strongly agree (IPIP's own format asks how accurately each statement describes the respondent). Statements 6 to 10 are worded in the opposite direction: score them in reverse (6 minus the answer on a 1 to 5 coding) before combining the ten into one score, and check Cronbach's alpha before relying on it. Each statement is its own single-choice question, so every answer keeps its scale order for analysis.

リサーチ

2026 Midterm Voter Issue Priorities Survey

A nonpartisan pulse-check on what's driving voters ahead of the 2026 midterms: which issues matter most, how affordability is hitting household budgets, what qualities voters want in a candidate, and how likely they are to turn out. An AI follow-up digs into the concrete, personal reason behind each respondent's top issue instead of a generic label.

マーケティング・グロース

Black Friday & Cyber Week Shopping Behavior Survey

Captures how shoppers actually behave during Black Friday and Cyber Week: planned versus impulse buys, channel choice (in-store vs. online), deal-research habits, spending mix, and post-purchase regret or returns. Built for retail and e-commerce marketers benchmarking seasonal campaigns, with an AI follow-up that reconstructs the real story behind each shopper's most impulsive or regretted purchase.

マーケティング・グロース

Brand Response to Current Events Expectations Survey

Measures whether consumers want brands to weigh in on current events, on which types of issues, in what tone, and what backlash risk they tolerate — for marketing and comms teams weighing when to speak up. The AI follow-up reconstructs a specific recent instance the respondent remembers, uncovering the real reaction behind their ratings.

マーケティング・グロース

Direct Mail Campaign Response & Effectiveness Survey

Measures how recipients actually notice, read, and act on direct mail pieces — postcards, catalogs, letters — versus digital channels, with a best-worst exercise on what drives response and an AI follow-up that reconstructs what happened after a specific piece landed in someone's mailbox. Built for marketing teams and direct mail agencies evaluating campaign performance.

従業員・人事

Anonymous Feedback Form

An anonymous feedback form for a team, class or group: no name or email asked, a rating, what's working and what should change. Before you share it, turn on Minimize IP and location data in Settings so IP addresses and locations aren't recorded.

従業員・人事

Candidate Trust & Transparency in AI Hiring Survey

Understand how candidates experience AI-assisted screening, interviews, and assessments. Measure disclosure, explanation, access to human review, fairness, and willingness to continue, then use optional AI follow-ups to explore specific moments and improve the hiring process.

従業員・人事

Return-to-Work After Leave Reintegration Survey

Measures how well employees are reintegrating after parental, medical, caregiving, or bereavement leave — workload ramp pace, manager check-ins, flexibility needs, and wellbeing. Built for HR and people teams running return-to-work programs, with an AI follow-up that surfaces exactly where support broke down instead of just how it was rated.

AI・テクノロジー

Entertainment Chatbot Engagement & Satisfaction Survey

Measures how often people use an entertainment chatbot (companionship, roleplay, humor, storytelling), what keeps them coming back, and where the experience falls flat — with an AI follow-up that reconstructs a specific memorable conversation to surface what actually made it feel fun, believable, or disappointing. Built for product and content teams shipping character or entertainment-focused AI experiences.

AI・テクノロジー

Flight Booking Chatbot Usability & Trust Survey

Evaluates how well an airline or travel site's AI chatbot handles real booking, change, and support tasks — covering task completion, trust, and where users bail out to a human. An AI follow-up interview reconstructs exactly what happened in the respondent's most recent chatbot session, not just how they'd rate it in hindsight.

AI・テクノロジー

Doctor Appointment Chatbot Experience Survey

Measures how well an AI scheduling chatbot helps patients book, reschedule, or get answers about medical appointments, covering task completion, trust, and friction points — with an AI follow-up interview that digs into the specific moment the chatbot helped or failed.

開発・エンジニアリング

Legacy Software Modernization Readiness Assessment

For software agencies scoping a modernization project, or IT teams planning one. It rates pain in the current system, ranks the goals that matter, and checks timeline, constraints and in-house capacity. An AI follow-up walks through the last time the old system blocked the business.

開発・エンジニアリング

Project Management Software Usage & Satisfaction Survey

Measures how teams actually use their project management tool day to day — adoption, feature-level satisfaction, and the friction points that drive people back to spreadsheets — with an AI follow-up that reconstructs a specific recent workflow moment instead of general sentiment. Built for product, IT, and operations teams evaluating or renewing tools.

開発・エンジニアリング

Software Developer Performance Review & Growth Survey

A structured performance check-in for software engineers that pairs self-rated competency scores, behavioral frequency questions, and a priority trade-off exercise with an AI follow-up interview that digs into the developer's biggest blocker and lowest-rated skill area for concrete, specific detail managers can use in 1:1s and growth plans.

教育・学術

Student Life & Campus Clubs Survey

For student affairs teams, student unions and club leaders at colleges and universities. It measures belonging, club and event participation, what gets in the way of joining, and which events students want, with an AI follow-up on what would make campus feel more like a community.

教育・学術

Dissertation Attitudes and Behaviors Research Questionnaire

A general-purpose Likert-scale instrument skeleton for graduate dissertation research, pairing validated-style attitude, norm, and intention batteries with an AI follow-up that probes the reasoning behind attitude-behavior gaps. Built for thesis researchers to adapt with their own constructs; demographics are collected last for clean subgroup analysis.

教育・学術

Parent Back-to-School Spending and Financial Stress

Captures how much parents budget and spend across back-to-school categories — clothing, supplies, and technology — and how that spending pressures household finances. An AI follow-up digs into the trade-offs behind a parent's stress score: what got delayed, financed, or cut to cover the school list.

イベント・コミュニティ

Super Bowl Squares

A Super Bowl squares board your group fills from one link. People claim squares by name, the numbers are drawn at random once the board is full, and the winning square shows each quarter as you enter the score. For fun and bragging rights.

イベント・コミュニティ

Football Squares Board

A 10x10 football squares board for any game. Everyone claims squares from one link, the row and column numbers are drawn at random once the board fills, and you enter the score each quarter to show the winning square. For fun and bragging rights.

Guests see the whole menu, take a dish with one tap and see who is bringing what, so nothing gets brought twice. For Friendsgiving, holiday dinners, office parties and community events.

金融・保険

Equipment Finance Pre-Application Questionnaire

Captures the equipment type, cost, term preference, and business profile a lender needs to pre-qualify an equipment financing request. An AI follow-up digs into what's actually driving the requested timeline — a growth opportunity, a breakdown, or a contract deadline — so underwriters get the real story behind the urgency, not just a checkbox.

金融・保険

Small Business Owner Outlook: Costs, Tariffs & AI Adoption

Tracks small business sentiment on revenue expectations, hiring plans, cost pressures, tariff-driven pricing decisions, and AI adoption. An AI follow-up digs into the owner's single biggest worry with a concrete recent example instead of a generic checkbox answer — useful for lenders, associations, and market researchers tracking small business health.

金融・保険

Cryptocurrency Ownership and Attitudes Survey

Captures who owns cryptocurrency, what they hold, why they got in, how they perceive risk, which platforms they trust, and where they stand on regulation. An AI follow-up digs into the personal reasoning and specific experiences behind each respondent's risk tolerance and buying decisions, giving you the 'why' behind the numbers.

Voice Interviews

Product retrospective voice interview

Understand what changed after a team adopted [product].

Voice Interviews

Referral behavior voice interview

Understand when customers recommend [product] and what they actually say.

Voice Interviews

Stakeholder alignment voice interview

Understand stakeholder goals and constraints for [initiative].

ヘルスケア・臨床

Clinical Trial Participant Experience & Retention Survey

For sponsors, CROs and research sites to hear from people taking part in a clinical study. It measures consent clarity, visit burden, travel, staff and the costs of taking part, without asking about health details. An AI follow-up finds the hardest part of staying in the study and what would make it easier.

ヘルスケア・臨床

Senior Living Family Member Satisfaction Survey

For families of residents in assisted living, memory care or skilled nursing. It measures communication, care, responsiveness to concerns and value for cost, and an AI follow-up reconstructs the last time the family raised a concern and how it was handled.

ヘルスケア・臨床

Senior Living Resident Satisfaction Survey

A short, large-print-friendly survey for residents of independent living, assisted living and memory care communities. It covers staff, care, meals, activities, safety and whether residents would recommend the community, and an AI follow-up asks about one change that would make daily life better.

Usability Tests

Report export usability test

Observe whether people can configure and export a report for [audience].

Usability Tests

File upload usability test

Observe how people upload, verify, and replace a file in [product].

Usability Tests

Content findability usability test

Observe whether readers can locate and recognize useful content on [site].

業界別

Freight Shipping Quote Request Intake Form

Captures the origin, destination, cargo specifics, timing, and special handling needs a freight broker or carrier needs to price a shipment accurately. An AI follow-up clarifies any vague or incomplete cargo details — like unclear dimensions or hazmat class — before the quote goes to the routing team.

業界別

Seasonal Retail Staff Onboarding Readiness Survey

Measures how well seasonal hires feel trained, scheduled, and supported once they're on the floor — covering training sufficiency, POS confidence, safety prep, and intent to return next season. An AI follow-up digs into the specific gap behind their lowest-rated area so store ops can fix onboarding before the next peak.

業界別

Coffee Shop Customer Experience & Loyalty Survey

Captures how customers rate your drinks, wait time, staff, and atmosphere on their most recent visit, plus their likelihood to return. An AI follow-up digs into the specific moment that shaped their rating so you know exactly what to fix or protect.

Text Interviews

Returns experience text interview

Understand the steps and effort involved in returning [item].

Text Interviews

Delivery experience text interview

Explore what customers experienced between placing [order] and receiving it.

Text Interviews

Online learning experience text interview

Understand how learners experienced [course] and applied what they learned.

市場調査

International Market Entry Readiness Assessment

For advisory firms, trade agencies and leadership teams weighing a move into a new country. It checks how ready the company is across product, regulation, partners, team and budget, ranks the biggest unknowns, and an AI follow-up tests the reasoning behind the target market.

市場調査

Feature priorities (Kano)

Find out which features customers take for granted, which make them happier the more you offer, and which would delight them. Each feature is asked twice, how respondents would feel if the product had it and if it did not, with the same five answers, then how important it is. In Results, each feature is classified as must-be, one-dimensional, attractive or indifferent by Kano's evaluation table, with Better and Worse coefficients and a plot (Kano et al. 1984; Berger et al. 1993). Replace the features with your own; describe each as a benefit.

市場調査

Product line-up (TURF)

Choose the line-up of products that reaches the most customers. Respondents pick every flavor they would buy and rate how likely they are to buy each one. In Results, the Reach (TURF) section on either question finds the set of 2, 3 or more items that reaches the most people (someone is reached when at least one item in the set is one they would buy), with frequency, near-ties and a significance test between the top two line-ups (Miaoulis, Free & Parsons 1990; Serra 2013). Replace the flavors with your own candidate products.

Concept Testing

Listing infographic test

Choose an infographic that explains product benefits without adding confusion. Start with a comparison brief, follow-up questions, and rating scales.

Concept Testing

Product hero image test

Choose a main image that represents the product clearly and accurately. Start with a comparison brief, follow-up questions, and rating scales.

Concept Testing

Webinar invitation test

Choose an invitation that explains the session's value and who it is for. Start with a comparison brief, follow-up questions, and rating scales.

Design

Product size guide design

Create a guide layout that helps customers interpret the supplied sizing information. Customize the creative brief and style settings.

Design

Product comparison graphic

Create a comparison layout that helps shoppers understand real product differences. Customize the creative brief and style settings.

Design

Infographic design

Create an explanatory visual direction that makes the supplied information easier to follow. Customize the creative brief and style settings.

非営利・公共

Advocacy Coalition Member Priorities & Engagement Survey

For coalitions, campaigns and advocacy nonprofits to hear from member organizations, supporters, volunteers and people with lived experience. It ranks priorities, maps how people are willing to take part, and checks communication and trust. An AI follow-up asks what change would matter most in their own community.

非営利・公共

Local Government Project Community Engagement Poll

Gauges resident awareness, support, and concerns for a local government project — plus which design option they favor and how they want ongoing updates. An AI follow-up probes the reasoning behind each support score, surfacing what would actually shift an opponent or strengthen a supporter's backing.

非営利・公共

Neighborhood Safety Perception & Priorities Survey

A resident-facing survey for local government and public safety offices that measures how safe people feel by time of day, whether streetlighting and infrastructure support that feeling, and how often incidents actually get reported. An AI follow-up probes the specific location and moment behind a resident's lowest safety rating, surfacing concrete detail a scale score alone can't capture.

オペレーション・データ

Staff Crisis Communication Readiness Survey

Assesses how prepared staff feel to communicate during a crisis — protocol awareness, spokesperson clarity, channel reliability, and drill experience — with an AI follow-up that reconstructs a real or simulated crisis moment to surface exactly where confusion or delay actually occurs.

オペレーション・データ

Freight Shipping Quote Request Intake Form

Captures the origin, destination, cargo specifics, timing, and special handling needs a freight broker or carrier needs to price a shipment accurately. An AI follow-up clarifies any vague or incomplete cargo details — like unclear dimensions or hazmat class — before the quote goes to the routing team.

オペレーション・データ

New Vendor Request Justification Survey

For employees requesting to onboard a new vendor or supplier. Captures the business need, estimated spend, urgency, risk factors, and alternatives already considered so procurement and operations teams can triage requests quickly. The AI follow-up interview probes why existing approved vendors won't meet the need and surfaces risk details a form alone would miss.

価格・パッケージ

Pricing research (Van Westendorp)

Find the price range your market will accept and the price point it finds fair. Uses the Price Sensitivity question: four Van Westendorp price questions on one card, charted in the report as the acceptable range and optimal price point, with a short AI follow-up on the reasons behind the prices. Before you launch, add a short description of your product (what it is, what it does, and who it is for) to the intro message.

価格・パッケージ

Gabor-Granger Price Sensitivity Demand Curve Survey

Builds a demand curve by asking purchase likelihood at 4-5 ascending price points for the same product or service. Ideal for pricing teams who already run Van Westendorp but need a sequential-elasticity read. The AI follow-up probes the exact price where intent drops, surfacing the value story behind the number instead of just the drop-off itself.

価格・パッケージ

Restaurant Menu Price Increase Guest Reaction Survey

Measures how a recent menu price increase is shaping visit frequency, item choices, and perceived value at your restaurant, plus how guests feel about service charges, kitchen fees, and other surcharges. Built for restaurant operators and multi-unit brands; the AI follow-up uncovers the real story behind a guest's value rating or changed visit habits, not just an averaged score.

プライバシー・コンプライアンス

Spa Treatment Consent & Client Intake Survey

Captures whether spa clients truly understand and freely consent to treatment risks, health disclosures, and photo or data use before their appointment — built for spa managers and compliance teams. The AI follow-up interview explores any hesitation or confusion behind risk-factor answers instead of settling for a checked box.

プライバシー・コンプライアンス

Research Interview Consent & Understanding Check

A pre-interview consent form that confirms participants understand what they're agreeing to — recording formats, how their words may be used, and their right to withdraw — plus an AI follow-up that catches confusion or hesitation before the real interview starts. Built for researchers running qualitative interviews, usability sessions, or customer discovery calls.

プライバシー・コンプライアンス

Employee Computer Security Awareness & Behavior Survey

Measures how employees actually handle passwords, multi-factor authentication, updates, and suspicious messages day to day — not just what they know in theory. Built for IT and security teams auditing awareness programs, with an AI follow-up that reconstructs a real near-miss or incident instead of a hypothetical one.

営業・売上

Prospective Client Discovery & Fit Questionnaire

A pre-proposal intake for consultants and agencies that captures a prospect's goals, current situation, budget range, timeline, and decision process before the first call. An AI follow-up digs past the polished pitch to find out what's actually broken, what's already been tried, and what a real win would look like — so you can scope and price with far less guesswork.

営業・売上

B2B Buyer Next-Year Budget & Purchase Intentions Survey

Captures how B2B buyers expect their procurement budget to move next year — direction, category-level growth or cuts, vendor consolidation plans, and AI spend intent — plus an AI follow-up that surfaces the real business reasons behind the number, not just the number itself. Built for sales, RevOps, and market research teams sizing pipeline and messaging for the year ahead.

営業・売上

Gaming Console Purchase Intent & Lead Capture Survey

Qualifies prospective gaming console buyers by purchase timeline, budget sensitivity, and feature priorities, then captures contact details for sales follow-up. The AI follow-up interview digs into what's actually holding back a purchase decision, giving sales reps a real objection to address instead of a generic 'still deciding.'

サンプルテンプレート

Public Awareness & Attitudes Toward Kangaroos

Measures public familiarity with kangaroos, perceptions of their characteristics, attitudes toward kangaroo conservation, and behavioral intentions. Suitable for wildlife researchers, conservation organizations, or educational program evaluators.

サンプルテンプレート

Leisure Travel Behavior & Preferences Survey

Measures leisure travelers' trip frequency, destination decision drivers, transportation preferences, satisfaction, and likelihood to recommend — providing actionable segmentation and experience insights for travel brands, tourism boards, or academic research.

サンプルテンプレート

Course Experience & Learning Outcomes Feedback Survey

A structured instrument for collecting student feedback on course satisfaction, instructional effectiveness, and learning outcomes. Designed for end-of-term deployment to support data-driven course improvement.

戦略・変革

International Market Entry Readiness Assessment

For advisory firms, trade agencies and leadership teams weighing a move into a new country. It checks how ready the company is across product, regulation, partners, team and budget, ranks the biggest unknowns, and an AI follow-up tests the reasoning behind the target market.

戦略・変革

Legacy Software Modernization Readiness Assessment

For software agencies scoping a modernization project, or IT teams planning one. It rates pain in the current system, ranks the goals that matter, and checks timeline, constraints and in-house capacity. An AI follow-up walks through the last time the old system blocked the business.

戦略・変革

Staff Crisis Communication Readiness Survey

Assesses how prepared staff feel to communicate during a crisis — protocol awareness, spokesperson clarity, channel reliability, and drill experience — with an AI follow-up that reconstructs a real or simulated crisis moment to surface exactly where confusion or delay actually occurs.

サステナビリティ・インパクト

Employee Commute & Transportation Experience Survey

Measures how employees actually get to work — mode, duration, out-of-pocket cost, and parking — and how hybrid schedules and transit benefits shape those choices. An AI follow-up digs past the surface rating to uncover the specific cost or reliability tipping points that would change commute behavior, giving facilities and HR teams evidence for benefit and parking decisions.

サステナビリティ・インパクト

Climate Change Awareness, Concern, and Action Survey

Measures how aware, concerned, and behaviorally engaged people are with climate change — from perceived risk and trust in institutions to everyday actions — with an AI follow-up that digs into the gap between stated concern and real-world behavior. Built for sustainability teams, communicators, and researchers tracking public climate sentiment.

サステナビリティ・インパクト

Water Stewardship vs. Product Attributes: Consumer Tradeoff Study

Measures how consumers weigh responsible water use against price, quality, and other product attributes. Designed for consumer panels to quantify sustainability-driven tradeoffs and identify the attitudinal and contextual drivers behind willingness to pay for water stewardship.

Quizzes

How social are you, really?

A viral-style quiz on how social people really are. Ten quick questions place each respondent on two scores, social battery (does time with people charge you up or wear you down?) and reach (a few close people, or new people and big groups?), and match them to the closest of five types: Introvert, Selective Socializer, Ambivert, Outgoing Introvert and Extrovert. The questions are QuestionPunk's own plus one adapted public-domain IPIP item; the types are a design taxonomy, not a scientific classification, and the quiz is not a psychological or mental health assessment. Respondents get their type, three guesses about everyone else with a crowd score and a percentile, a split by generation, and a card to share. Reveal is on: Settings > Screens.

Quizzes

What new food should you try next?

A food quiz that picks one dish to try next from eight you can find in many US cities: pupusas, pho, dim sum, Korean BBQ, ceviche, masala dosa, an Ethiopian platter and mapo tofu. Twelve quick single-choice questions cover comfort food, heat, texture, sourness, adventurousness and diet. Answers that rule a dish out (no pork, no beef, pescatarian, vegetarian, vegan, little or no heat, no raw fish) always win: a dish they rule out is never the result or the runner-up. Respondents get their dish, a runner-up, what to order, three crowd guesses with a percentile, and a card to share. Reveal is on: Settings > Screens.

A Kibbe-inspired body type quiz that ends in a personal style report, not an AI-written essay. Fifteen self-report questions place the respondent on the yin and yang axes of David Kibbe's body type system (vertical line, width, sharpness, curve, contrast and balance), with height counting most for vertical line, and the closest of his ten current types is the result. The report is assembled by fixed rules from about 90 short blocks: the lines, fabrics and shapes to try, what to skip, a first outfit for what the respondent is dressing for, fit notes, and a second-look note when height and result disagree. No photos. Every block can be rewritten in the survey's Reveal settings. Not affiliated with David Kibbe.