Marketing & growth survey templates

수신자가 엽서, 카탈로그, 편지 등 다이렉트 메일을 디지털 채널과 비교하여 실제로 어떻게 인지하고 읽고 행동하는지를 측정하며, 반응을 이끄는 요인에 대한 best-worst 과제와 특정 우편물이 누군가의 우편함에 도착한 후 무슨 일이 일어났는지를 재구성하는 AI 후속 질문을 포함합니다. 캠페인 성과를 평가하는 마케팅 팀과 다이렉트 메일 대행사를 위해 설계되었습니다.

Measures how well your website or marketing chatbot resolves visitor questions, builds trust, and moves people toward a purchase or signup. An AI follow-up interview reconstructs the respondent's most recent chatbot conversation in detail, surfacing exactly where it helped or broke down. Built for marketing and CX teams evaluating a live chatbot deployment.

Measures whether a specific influencer or creator campaign actually changed awareness, trust, and purchase behavior — not just impressions. Built for brand and growth marketers evaluating a campaign, with an AI follow-up that reconstructs the real moment a customer decided (or chose not) to act after seeing the content.

A self-assessment for marketers, founders, and agency teams to check how complete, resourced, and confidence-inspiring their current marketing plan actually is — covering goals, audience, budget, channels, and measurement. The AI follow-up interview digs into whichever plan component the respondent flags as weakest, uncovering the real blocker instead of a generic 'needs work' answer.

기업이 자사 브랜드를 차별화하는 요소를 얼마나 명확하게 표현할 수 있는지, 그 아이덴티티가 모든 접점에서 얼마나 일관되게 느껴지는지, 그리고 리브랜딩 또는 리프레시를 어디에 가장 먼저 집중해야 하는지를 평가합니다. 프로젝트를 시작하는 브랜드 컨설턴트와 마케팅 담당자를 위해 설계되었습니다. AI 후속 인터뷰는 차별화가 무너지는 정확한 순간을 파고들어, 모호한 브랜드 이야기 대신 구체적인 사례를 이끌어냅니다.

콘텐츠 라이터 지원자를 대상으로 경력, 콘텐츠 유형, 자가 평가 역량, 작업 스타일, 희망 보수를 심사합니다. AI 후속 인터뷰를 통해 지원자가 실제 작문 샘플이나 과제에 어떻게 접근했는지 재구성하여, 준비된 자화자찬이 아닌 진정한 작업 과정을 드러냅니다. 작문 직무를 채용하는 채용 담당자와 리크루터를 위해 설계되었습니다.

Screens applicants for a brand ambassador program by capturing their platforms, audience size, content style, and motivation for joining — then uses an AI follow-up interview to probe authentic brand fit and how they'd actually talk about the product, rather than just what they claim on a form. Built for marketing and influencer teams vetting candidates at scale.

수신자가 귀사의 마케팅 또는 제품 이메일을 실제로 어떻게 경험하는지를 — 열람률과 클릭률만이 아니라 레이아웃, 가독성, 모바일 렌더링, 시각적 위계 등을 — 평가합니다. AI 후속 인터뷰는 최근 특정 이메일이 왜 실행하기 쉬웠는지 혹은 어려웠는지를 깊이 파고들어, 분석 데이터만으로는 드러나지 않는 디자인 마찰 요소를 밝혀냅니다.

소셜 게시물, 인플루언서 협업, 이메일, 매장 내 디스플레이 등 패션 마케팅 콘텐츠가 단순한 브랜드 회상을 넘어 실제로 발견과 구매 결정을 어떻게 형성하는지 측정합니다. 콘텐츠 유형에 대한 최선-최악 트레이드오프와, 소비자가 구매를 결정한(혹은 하지 않은) 실제 순간을 재구성하는 AI 후속 인터뷰가 포함되어 있습니다.

고객이 소셜 광고부터 이메일, 인플루언서 콘텐츠에 이르기까지 실제로 어떤 디지털 마케팅 채널을 인지하고, 신뢰하며, 행동으로 옮기는지, 그리고 메시지와 예산의 우선순위를 어떻게 정할지 측정합니다. AI 후속 질문이 고객의 인식을 형성한 구체적인 광고 순간을 재구성하여, 폐쇄형 질문으로는 놓치는 신뢰나 짜증의 '이유'를 드러냅니다. 채널 조합, 크리에이티브, 지출을 평가하는 마케팅 팀을 위해 설계되었습니다.

Maps how people actually spend time on social platforms, which content formats earn a follow, and how that behavior translates into purchases — with an AI follow-up interview that reconstructs a real recent purchase decision instead of relying on self-reported influence scores. Built for marketing and growth teams sizing up social strategy.

고객의 마음속에서 귀사의 브랜드가 실제로 어떻게 자리 잡고 있는지를 파악합니다 — 비보조 회상, 보조 인지, 친숙도, 이미지 속성, 고려도, 추천 의향 — 여기에 해당 카테고리에서 선택을 이끄는 요인에 대한 최선-최악 트레이드오프까지 포함합니다. AI 후속 인터뷰는 낮은 점수나 불확실한 고려도를 단순한 숫자로 남겨두는 대신, 그 이면의 이유를 깊이 있게 파고듭니다. 시간의 흐름에 따라 브랜드 건강도를 추적하는 브랜드 및 마케팅 팀을 위해 설계되었습니다.

고객과 잠재 고객이 실제로 회사의 마케팅을 어떻게 경험하는지를 측정합니다 — 어떤 채널이 효과적인지, 메시지가 명확하고 차별화되어 있는지, 브랜드의 특성이 어떻게 전달되는지를 파악합니다. AI 후속 인터뷰는 숫자에서 멈추지 않고 명확성 및 차별성 점수 뒤에 있는 '이유'를 파고듭니다.

Captures why donors gave to a specific fundraising or political campaign, how smooth the giving experience felt, and how likely they are to give again — with an AI follow-up that digs into the real reasons behind a donor's likelihood-to-repeat score instead of a generic satisfaction rating. Built for nonprofits, campaigns, and cause marketers running donation drives.

Tests how a specific ad lands — attention, message clarity, believability, likability, and purchase intent — plus which creative elements actually stick. An AI follow-up interview digs into the 'why' behind the intent score so you're not left guessing from numbers alone. Built for brand and creative teams pre- or post-launch.

Tests a single ad — video, print, or social creative — for clarity, appeal, relevance, and purchase impact before it goes live. An AI follow-up interview digs into the specific moment respondents got confused, bored, or excited, surfacing the 'why' behind the ratings so creative teams know exactly what to cut, keep, or clarify.

Tracks the full brand funnel — unaided and aided awareness, consideration, trial, usage, and recommendation — benchmarked against named competitors. An AI follow-up interview digs into where respondents actually drop out of the funnel and why, going beyond the numbers to the specific moment consideration stalled. Built for brand and marketing teams running quarterly brand health trackers.

Tracks where prospects and past buyers stand in the path from awareness to purchase, what drives or blocks that decision, and how price perceptions factor in — with an AI follow-up that reconstructs the specific moment someone almost bought (or almost switched away) instead of relying on generic attitude ratings.

Tracks how your brand is remembered, perceived, and chosen versus competitors — awareness, attribute ratings, and recommendation likelihood — then uses an AI follow-up to uncover the real reasons behind each respondent's recommendation score. Built for marketing teams running quarterly or annual brand health checks.

Measures the core drivers of brand strength — unaided and aided awareness, familiarity, consideration, attribute perceptions, and likelihood to recommend — benchmarked against named competitors. An AI follow-up interview probes why respondents rate the brand as they do, surfacing the perceptions behind the numbers for marketing and brand teams running health trackers.

팔로워들이 브랜드의 소셜 미디어 커뮤니티(댓글, 답글, DM)에 참여할 때 얼마나 안전하고 존중받으며 괴롭힘이나 스팸으로부터 자유롭다고 느끼는지를 측정합니다. 단순한 감정 점수 이상을 필요로 하는 소셜 미디어 및 커뮤니티 관리자를 위해 만들어졌으며, AI 후속 인터뷰가 특정 안전 경험을 재구성하여 모더레이션에서 정확히 무엇을 개선해야 하는지 알려줍니다.

Tests how believable, relevant, and differentiating your candidate marketing claims are, using a best-worst trade-off to force priority among competing lines and an AI follow-up that digs into why the top claim landed or fell flat. Built for brand, product marketing, and comms teams validating messaging before a campaign launch.

Explores how comfortable customers are when brands reshare their photos, tags, reviews, or comments in marketing — and what would make them more willing to say yes. Built for marketing, social, and legal teams shaping user-generated-content and permission policies, with an AI follow-up that digs into the specific moment someone felt uneasy or declined.

Explores how parents currently manage their child's email account — what it's used for, what worries them most, and which safety features they'd actually value. An AI follow-up interview digs into the real story behind a recent scare or close call, surfacing details a checklist question can't capture. Built for teams designing kid-safe email or parental-control products.

Tracks how your brand is perceived on key attributes like trust, quality, and value, and identifies which of those attributes actually drive choice through a best-worst trade-off exercise. An AI follow-up interview digs into the story behind the respondent's lowest-rated attribute. Built for brand and marketing teams running recurring pulse checks.

Tracks unaided and aided awareness of a specific ad campaign, where people saw it, what stuck, and whether it moved them to act — for brand and media teams running always-on pulse checks. An AI follow-up interview digs into what respondents actually remember and why, surfacing the story behind the recall numbers.

Measures how subscribers actually read and value your newsletter — open habits, section-by-section ratings, and content priorities — with an AI follow-up that digs into the specific reasons behind promoter or detractor scores instead of generic satisfaction talk. Built for newsletter editors, content marketers, and community teams refining a recurring send.

Measures whether a specific ad gets noticed, understood, and acted on — covering recall, message takeaway, creative appeal, and purchase intent — with an AI follow-up that digs into the real reasons behind stated purchase intent instead of taking the number at face value. Built for marketers testing a campaign, creative concept, or media placement.

Captures gut-level reactions to a logo (or set of logo options): first impression, word associations, attribute fit, and relative preference — plus an AI follow-up that digs into which specific design element (color, shape, type, symbol) is actually driving the reaction. Built for brand, design, and marketing teams validating a new or refreshed mark before launch.

Tracks unaided and aided awareness, consideration, and perceived positioning of your brand versus named competitors among B2B buyers and influencers. Includes a best-worst trade-off on what actually drives vendor choice, plus an AI follow-up that unpacks the reasoning behind recommendation scores. Built to run quarterly for longitudinal tracking.

Gathers feedback from your followers on which platforms they use, what content they value, and whether your social presence influences real purchase decisions. An AI follow-up interview digs into the specific post or content type that stuck with them and why, going beyond generic 'I like your posts' answers.

고객이 ChatGPT나 Gemini 같은 AI 도구에 추천을 요청할 때 경쟁사 대비 자사 브랜드를 얼마나 자주, 얼마나 호의적으로 접하는지를 측정합니다. AI 후속 질문을 통해 최근 AI 기반 검색 이면의 실제 프롬프트, 답변, 구매 결정을 재구성합니다.

Identifies what actually pushes users toward 5-star versus 1-star app store reviews — crashes, speed, ads, pricing, support — and what specifically would change their rating. Built for product and growth teams; the AI follow-up reconstructs the real incident behind each respondent's rating instead of generic complaints.

Identifies which topics, formats, and channels your audience actually wants more of versus what you're currently producing. Combines trade-off methods like MaxDiff and constant-sum allocation with an AI follow-up that reconstructs a real content moment — what someone consumed, why they stopped or finished it, and what's missing.

Measures whether subscribers actually open, skim, or read your newsletter, what content keeps them subscribed, their ideal send frequency, and what pushes them toward unsubscribing. The AI follow-up digs into the real moment a reader almost unsubscribed, not just the stated reason.

Captures how listeners actually consume your podcast — ideal episode length, topic preferences, ad tolerance, and what would push them to subscribe or share it — with an AI follow-up that digs into the real reason behind their loyalty score instead of a generic satisfaction number.

Measures whether a celebrity or influencer endorsement actually transfers credibility to a brand — covering perceived authenticity, trustworthiness, and purchase influence — with an AI follow-up that unpacks why the pairing does or doesn't feel believable to this specific respondent. Built for brand, marketing, and partnerships teams testing a specific spokesperson or creator campaign.

일련의 로고 또는 시각적 아이덴티티 옵션이 인지도, 브랜드 적합성, 감정적 톤, 그리고 일대일 선호도 측면에서 어떻게 평가받는지 테스트합니다. 로고 후보군을 비교하거나 리디자인을 평가하는 브랜드 및 마케팅 팀을 위해 제작되었으며, 단순히 순위를 기록하는 것을 넘어 우승 선택을 이끈 구체적인 시각적 단서를 파고드는 AI 후속 질문을 포함합니다.

Reconstructs the full journey behind a considered purchase — how customers first discovered the product, which sources shaped their decision, what nearly stopped them, and how confident they feel now. An AI follow-up rebuilds the actual sequence of events around the moment of hesitation, not just the tidy summary customers give afterward.

Find out why visitors came, whether they got it done, and what nearly stopped them. A short intercept-style survey with task success, effort, and trust measures — plus an AI follow-up that turns 'couldn't find it' into the exact page and word they were looking for.

Map your brand's personality on classic semantic differential scales — traditional vs. innovative, corporate vs. human, premium vs. affordable — and compare against a competitor. The AI interviewer chases the associations behind the ratings, so you learn where the perception comes from.

Paste your landing page copy, ad, or email and see exactly which phrases pull people in and which lose them: respondents highlight the words that resonate and the words that create doubt, then an AI interviewer probes why. Sharper than a star rating on the whole block.

Structured stakeholder or customer feedback on a design, mockup, or creative asset: first impressions, a click on what draws attention, ratings against the brief, and file upload for marked-up versions. The AI interviewer converts 'I just don't like it' into usable direction.

Where do people click first when given a task on your design? First-click success is one of the strongest predictors of task completion. Upload your screenshot, set the task, and let the AI interviewer ask what they expected to happen — turning a click map into a usability diagnosis.

Measures consumers' willingness to share personal preferences with brands, identifies key barriers and trust drivers, and quantifies the incentive thresholds needed to increase opt-in rates. Ideal for marketing, CRM, and privacy strategy teams.

Measures perceived product value, identifies conversion blockers, and assesses upgrade intent among free trial users to inform retention and conversion optimization strategies.

잠재 구매자가 인식하는 리스크, 충족되지 않은 니즈, 주요 장벽을 파악하여 메시징 전략과 전환 최적화에 활용합니다.

Measures consumer comfort with personalized content, identifies privacy boundaries and data-sharing thresholds, and pinpoints messaging frequency limits to help marketing teams calibrate personalization strategies without triggering fatigue or backlash.

멀티터치 어트리뷰션 결과물에 대한 마케터의 신뢰도를 측정하고, 인식된 채널 편향을 파악합니다. 예산 및 최적화 의사결정에 필요한 정보를 얻기 위해 어트리뷰션 데이터를 활용하는 마케팅, 애널리틱스, 미디어 전문가를 대상으로 설계되었습니다.

Evaluates an organization's Marketing Mix Modeling maturity across data foundations, governance practices, validation methods, and resourcing. Designed for marketing, analytics, and media professionals involved in or planning MMM initiatives.