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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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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

14 questions · ~7 min
Q01
Message

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

Q02
Multiple ChoiceRequired

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
Multiple ChoiceRequired

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
Opinion ScaleRequired

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

Scale: 1 – 7
Min:Much less trustworthy than searchMax:Much more trustworthy than search
Q05
RankingRequired

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
Drag to rank
Q06
Best–Worst Trade-off (MaxDiff)Required

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
Pick best & worst per setBest:Matters mostWorst:Matters least
Q07
MatrixRequired

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

5 rows × 5 columns
  • 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.
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q08
Point AllocationRequired

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
Allocate 100 points
Q09
Multiple ChoiceRequired

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 Interview

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
Short Text

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

Q12
Multiple Choice

Which age range do you fall into?

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

How do you describe your gender?

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

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

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • 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.

What it does well

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

Where it falls short

  • 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.

What it does well

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

Where it falls short

  • 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.

What it does well

  • 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

Where it falls short

  • 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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