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Gen Z AI-First Product Discovery Habits Survey

Explores how Gen Z respondents use AI chatbots and assistants alongside search engines, social feeds, and influencers to find and vet products — including trust levels, time allocation, and what actually drives a purchase. An AI follow-up interview reconstructs a real recent AI-assisted shopping moment instead of relying on self-reported habits.

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샘플 질문

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질문 14개 · 약 7분
Q01
메시지

Hey! We're studying how people discover new products these days — including AI chatbots and assistants. Your responses are completely confidential and anonymized. There are no right or wrong answers, just tell us what's actually true for you. About 5-6 minutes.

Q02
객관식필수

In the last 30 days, which of these have you used to discover a new product or brand?

  • AI chatbots or assistants (e.g., ChatGPT, Gemini)
  • Search engines (e.g., Google, Bing)
  • Short-form video (TikTok, Reels, Shorts)
  • Social media feeds or posts
  • Influencer or creator recommendations
  • Friends or family
  • In-store browsing
  • Online ads
Q03
객관식필수

Which AI tools, if any, have you used to research or discover products in the last 30 days?

  • ChatGPT
  • Google Gemini
  • Perplexity
  • Microsoft Copilot
  • TikTok's AI search or assistant
  • Instagram or Meta AI
  • Another AI shopping assistant
Q04
의견 척도필수

Compared to traditional search engine results, how much do you trust product recommendations generated by AI chat tools?

척도: 1 – 7
최소:Much less trustworthy than search최대:Much more trustworthy than search
Q05
순위 매기기필수

Rank these sources from most to least influential on your actual purchase decisions.

  1. AI chatbots or assistants
  2. Search engines
  3. Short-form video
  4. Social media posts
  5. Influencer or creator content
  6. Friends or family recommendations
드래그하여 순위 지정
Q06
최선·최악 선택형(MaxDiff)필수

When you use an AI tool to research a product, which of these matter most to you, and which matter least?

  • Getting a fast answer
  • Personalized recommendations based on my needs
  • Ability to ask follow-up questions
  • Summarized reviews and pros/cons
  • Price comparisons across retailers
  • Feeling like the advice is unbiased and ad-free
  • Confidence the information is accurate
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q07
매트릭스필수

How much do you agree with each statement about how you shop with AI tools?

5개 행 × 5개 열
  • I ask AI tools open-ended questions instead of typing keyword searches when researching a product.
  • I trust an AI tool's product recommendation more when it explains its reasoning.
  • I still double-check AI-recommended products with a search engine or reviews before buying.
  • I've replaced at least one search engine habit with an AI chat tool.
  • I worry AI product recommendations may be influenced by paid partnerships I can't see.
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q08
점수 배분필수

Thinking about the time you spend discovering new products, split 100 points across these channels based on how much time you actually spend on each.

  • AI chatbots or assistants
  • Search engines
  • Short-form video
  • Social media feeds
  • Influencer content
  • In-person or store browsing
100점 배분
Q09
객관식필수

In the last 30 days, have you purchased a product that an AI chatbot or assistant recommended or helped you decide on?

  • Yes
  • No
  • Not sure / can't recall
Q10
AI 인터뷰

Walk the respondent through the most recent time they used an AI chatbot or assistant to discover or research a product: what prompted them to ask AI instead of searching or scrolling, what exactly they asked, how the AI's answer compared to what they expected, and whether it led to a purchase or a switch away from a brand they were already considering. If they say they've never used AI for product discovery, probe what would need to change for them to try it.

Q11
단문형

What's one thing that would make you trust an AI shopping assistant's recommendations more?

Q12
객관식

Which age range do you fall into?

  • Under 18
  • 18-20
  • 21-24
  • 25-27
  • Prefer not to say
Q13
객관식

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q14
메시지

That's everything — thanks so much for sharing! Your answers will help us understand how AI tools are reshaping product discovery for your generation.

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Uses a ranking exercise and a max-diff question to force real trade-offs between AI tools, search, social feeds, and influencers, instead of only agree/disagree ratings
  • Includes an AI follow-up interview that reconstructs one specific recent AI-assisted shopping moment, capturing what actually happened rather than relying on generalized self-report
  • A constant-sum question makes respondents split 100 points across discovery channels, revealing actual time allocation rather than vague ranked preference
  • Combines an opinion scale and matrix on trust in AI recommendations with an open-ended question on what would increase that trust, giving both quantifiable and qualitative insight into AI-shopping trust

QuestionPro

Product Evaluation Survey Template and Sample Questionnaire

This is a static, fielding-ready questionnaire aimed at evaluating an existing product's features and satisfaction, not at mapping how people discover or vet products using AI tools. It's a genuine survey template from an established platform, but the content and framing don't address AI-assisted discovery behavior or trust in AI recommendations.

잘하는 점

  • Established survey platform with a ready-to-use sample questionnaire
  • Structured around clear product-evaluation metrics
  • Likely customizable within QuestionPro's standard survey builder

아쉬운 점

  • No adaptive AI follow-up interview to probe or reconstruct a specific behavioral moment
  • No voice AI interview option
  • Doesn't address AI-tool usage, trust versus search engines, or discovery channel time allocation, which are the core topics here

SurveyMonkey

Product Review Template: Turn Feedback Into Product Wins

This template is oriented toward post-purchase product feedback and reviews rather than the pre-purchase discovery and research process. It's a ready-to-field static template from a major survey provider, but it doesn't touch on AI chatbot usage or trust in AI-generated recommendations.

잘하는 점

  • Ready-to-use template from a widely adopted survey platform
  • Framed around actionable feedback for product improvement
  • Simple deployment for post-purchase sentiment

아쉬운 점

  • No mechanism to reconstruct a specific AI-assisted shopping decision through adaptive questioning
  • No coverage of AI tool trust, discovery-channel time split, or influence ranking, which this topic requires
  • No published methodology on how questions adapt or are scored, since it's a fixed-question template

SurveySparrow

Product Feedback Survey Template

SurveySparrow's template uses its conversational, chat-style survey format, which reads more naturally than a typical form, but it is still a fixed-question feedback survey rather than one built to explore discovery habits or AI-assisted research behavior. It's fielding-ready but topically focused on general product feedback.

잘하는 점

  • Conversational chat-style interface makes the survey feel more natural to complete
  • Ready-to-deploy template within SurveySparrow's platform
  • Likely supports basic branching common to the platform

아쉬운 점

  • Conversational UI is not the same as an adaptive AI interview that follows up based on a respondent's actual answer content
  • No voice AI interview or automated per-response quality scoring
  • Doesn't address AI chatbot discovery habits, trust versus search engines, or channel-time allocation central to this topic

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