Willingness to Delegate Subscriptions to AI Agents
Measures how comfortable people are letting an AI agent renew, cancel, reorder, or renegotiate their subscriptions on their own — and what safeguards would make that trust possible. Built for product teams evaluating agentic commerce features, with an AI follow-up that digs into why trust differs by task type and what a bad experience would look like.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
In the last 3 months, which of these have you done yourself (not through an AI agent)?
- Renewed or canceled a subscription
- Switched a subscription plan or provider to save money
- Reordered a household item (groceries, supplies, etc.)
- Negotiated a price or asked for a discount
- None of these
Overall, how comfortable would you be letting an AI agent manage your subscriptions and reorders without asking you each time?
How comfortable are you with an AI agent handling each of these on its own?
- Renewing an existing subscription automatically
- Canceling a subscription you no longer use
- Switching you to a cheaper plan or provider
- Reordering household items when you're low
- Negotiating a lower price on your behalf
Which of these AI agent capabilities matter most to you, and which matter least?
- Auto-renewing subscriptions before they lapse
- Automatically canceling unused subscriptions
- Switching you to a better price or plan
- Pausing or resuming a subscription for you
- Adjusting order quantity based on your usage
- Alerting you before any charge over a set amount
- Negotiating price with the provider
- Keeping a running log of every action taken
Rank these safeguards by how essential each one is before you'd trust an AI agent with your subscriptions.
- A hard spending cap it can never exceed
- Advance notice before any charge or cancellation
- An easy one-tap way to undo any action
- Required approval for anything over a set amount
- A full activity log you can review anytime
You have 100 points to distribute across these concerns based on how much each one worries you about AI-managed subscriptions.
- Getting charged for something I didn't want
- Losing control or visibility over my accounts
- The AI making an error I don't catch in time
- My payment or personal data being shared unnecessarily
- It being hard to reverse an action once it's done
Which level of oversight would you want over an AI agent managing your subscriptions?
- Fully autonomous — it acts and just tells me afterward
- It notifies me first, then acts unless I stop it
- It asks my permission every single time
- I wouldn't let an AI agent manage this at all
How likely are you to try an AI agent for managing subscriptions or reorders in the next 6 months?
Explore why the respondent's comfort level differs across task types (renewing vs. canceling vs. negotiating vs. reordering) — anchor on their rating-scale answers and ask what specifically feels riskier about the lower-rated tasks. If they chose 'I wouldn't let an AI agent manage this at all,' find out what single change (a safeguard, a track record, a specific use case) would move them off that position. If they rated overall comfort high, probe for a concrete scenario where they'd still want to step back in.
What is your age range?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
Which best describes your household income?
- Under $50,000
- $50,000-$99,999
- $100,000-$149,999
- $150,000 or more
- Prefer not to say
That's everything — thank you! Your responses will feed into research on how people want AI agents to handle everyday purchases, helping shape what oversight and safeguards get built in.
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.
이 템플릿을 선택하는 이유
이 템플릿의 설계 목적을 소개합니다. 다른 설문 도구에서는 직접 비교할 만한 템플릿을 찾지 못했습니다.
차별화 포인트
- Includes an AI follow-up interview that adaptively probes why comfort with delegating to an AI agent differs by task type (renewing vs. cancelling vs. renegotiating) and what a bad experience would look like, something a static form cannot do
- Combines a matrix, max-diff, ranking, and constant-sum exercise to separately quantify comfort by task, capability priority, safeguard importance, and trade-off weighting of concerns, giving product teams multiple angles on the same trust question
- Captures actual recent behavior (what respondents have done themselves without an AI agent) alongside stated oversight preferences, so responses can be grounded in real habits rather than pure hypotheticals
- Produces an auto-generated report with transparent prompts, so product teams evaluating agentic commerce features can see exactly how the AI follow-up was conducted, not just a summary of answers
자주 묻는 질문
“Willingness to Delegate Subscriptions to AI Agents” 템플릿에는 어떤 질문이 포함되어 있나요?
바로 사용할 수 있는 질문 13개가 포함되어 있으며, 처음 질문은 다음과 같습니다: “Thanks for taking part! We're exploring how comfortable people are letting an AI agent handle things like renewing subsc…” · “In the last 3 months, which of these have you done yourself (not through an AI agent)?” · “Overall, how comfortable would you be letting an AI agent manage your subscriptions and reorders without asking you each…”. 전체 질문은 위에서 미리 볼 수 있고 모두 수정 가능합니다.
이 설문을 완료하는 데 얼마나 걸리나요?
응답자는 보통 질문 13개를 약 7분 안에 완료합니다.
템플릿을 수정할 수 있나요?
네. 설문을 공개하기 전에 모든 질문, 답변 옵션, 순서를 자유롭게 수정할 수 있습니다. 질문을 추가·삭제하거나 AI 편집기에 연구 목표에 맞춘 재구성을 요청할 수도 있습니다.
이 템플릿은 무료인가요?
네. 편집기에서 바로 열어 수정을 시작할 수 있습니다. 체험에는 계정이 필요 없으며, 무료 플랜으로 설문을 공개할 수 있습니다.
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.
관련 템플릿
비슷한 주제의 다른 설문을 만나 보세요.
Reformulated Product Reactions: Protein and Fiber Claims Study
Measures how shoppers react when a familiar food product is reformulated with added protein or fiber claims — covering purchase intent, trust in the new claims, taste expectations, and price sensitivity. Built for brand and innovation teams testing packaging or recipe changes, with an AI follow-up that digs into the real tension between health claims and taste concerns behind the numbers.
템플릿 보기Employee Comfort Delegating Tasks to AI Agents
Measures how comfortable employees are handing off specific work to AI agents, what's currently delegated, how closely output gets checked, and what would build more trust. Built for HR and AI-adoption teams rolling out agentic tools, with an AI follow-up interview that digs into the real reasons behind hesitation or over-reliance rather than generic attitude scores.
템플릿 보기AI Agent Autonomy, Escalation & Control Preferences Survey
Measures user expectations for AI agent autonomy, preferred escalation and handoff mechanisms, permissible actions, spending thresholds, and risk concerns. Designed for UX researchers and product teams building agentic AI workflows.
템플릿 보기Insurance Agent Performance & Trust Evaluation
Measures how policyholders experience their insurance agent — responsiveness, product knowledge, coverage fit, and claims support — with an AI follow-up that digs into the specific moment that shaped their trust (or distrust) in the agent. Built for agencies and carriers running periodic agent scorecards.
템플릿 보기AI Agent Output Review Burden and Trust Calibration Survey
Measures how much time and cognitive effort employees spend checking AI agent outputs, where trust is over- or under-calibrated, and what triggers a full manual re-check. An AI follow-up probes the last time output was wrong or nearly acted on unchecked.
템플릿 보기AI Transparency, Control & Recourse Assessment
Measures user attitudes toward AI transparency, desired controls, and recourse expectations. Designed for product teams assessing trust gaps and prioritizing AI governance improvements.
템플릿 보기