Supplement & Wearable Stack Optimization Survey
Understand how self-directed health consumers choose, combine, and abandon supplements and wearables — what they spend, which data or advice actually changes their behavior, and where an AI follow-up interview surfaces the real story behind their most recent stack change instead of the tidy version.
設問の例
テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。
Which wearables or health-tracking devices do you currently use regularly (at least a few times a week)?
- Fitness/activity tracker (e.g., wrist band)
- Smartwatch with health features
- Continuous glucose monitor
- Sleep tracker (ring, mat, or app-connected)
- Heart rate variability / recovery device
- Smart scale or body composition device
Which of these supplement categories are you currently taking?
- Multivitamin or general micronutrient
- Protein or amino acids
- Sleep support (e.g., magnesium, melatonin)
- Cognitive/nootropic support
- Gut health or probiotics
- Joint, hormone, or longevity-focused compounds
- Energy or pre-workout support
Roughly how does your typical monthly health-optimization budget split across these categories? Please make the numbers add up to 100.
- Supplements
- Wearable devices or subscriptions
- Lab testing or biomarker panels
- Coaching or expert guidance
- Apps or tracking software
How much do you agree with each statement about how you manage your own stack?
- I check my wearable data before deciding whether to keep taking a supplement
- I adjust dosage or timing based on how I feel more than on any data
- I trust my own tracked data more than a doctor's general advice
- I stop taking something quickly if I don't see a measurable change
When deciding whether to add a new supplement or wearable to your routine, which factors matter most versus least?
- Published research or clinical studies
- Correlation with my own wearable or biomarker data
- Recommendation from a doctor or clinician
- Recommendation from an influencer, podcast, or forum
- Price and ongoing cost
- Brand or company reputation
- My own trial-and-error results
- Risk of side effects
How confident are you that your current supplement and wearable stack is actually improving your health outcomes?
In the last 6 months, what most often made you stop taking a supplement or using a device?
- No felt improvement
- Wearable or lab data didn't shift
- Too expensive to keep up
- Side effects or discomfort
- A doctor advised against it
- Just ran out and didn't reorder
Walk the respondent through the most recent time they added or dropped a specific supplement or wearable feature. Get them to name the exact product/feature, the specific data point or feeling that triggered the decision, how long they gave it before judging, and whether they'd reverse the decision if new evidence appeared. If they said they trust their own data over a doctor's, probe a concrete example where that played out.
What's the single biggest frustration or gap in trying to figure out what's actually working in your stack?
Just a couple of quick background questions, then you're done.
Which age range do you fall into?
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Thank you for the detailed answers! We'll use these to understand how self-directed health consumers actually make and unmake decisions about supplements and wearables, and to spot where better data or guidance could help.
含まれる機能
AIによる深掘り
自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。
注意確認設問
急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。
AIが作成する設問文
文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。
自動レポート
回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。
他ツールとの比較
ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。
このテンプレートを選ぶ理由
- Goes beyond static rating questions with an AI follow-up interview that walks the respondent through the most recent specific time they added or dropped a supplement or wearable, surfacing the real story instead of a tidy summary
- Uses a constant-sum budget-split question and a max-diff exercise to get relative, trade-off-based data on spending and decision drivers rather than just agree/disagree ratings
- Combines quantitative structure (multiple-choice device/category use, matrix agreement statements, confidence scale) with a long-text gap/frustration question and adaptive probing on top
- Every prompt in the flow is transparent and the resulting responses roll into an auto-generated report, so teams can see exactly what was asked and why a given follow-up fired
Jotform
Supplemental Health Questionnaire Form TemplateA ready-to-use static form template for collecting supplement-related health information, built on Jotform's drag-and-drop form builder. It's oriented toward straightforward data capture (e.g., current supplement use) rather than exploring purchase decisions, budget trade-offs, or abandonment behavior in depth. No mention of adaptive interviewing or behavioral scoring — it's a fielding-ready form, not a research instrument.
優れている点
- Quick to deploy and customize using Jotform's drag-and-drop builder
- Purpose-built around supplement-related health questions, so it's topically on-point
- Likely integrates with Jotform's broader form ecosystem (notifications, integrations, PDF exports)
物足りない点
- Static question set with no adaptive AI follow-up to probe the story behind a specific behavior change
- No automated per-response quality scoring or transparent prompt methodology
- No structured way to capture relative trade-offs (e.g., budget splits or max-diff decision drivers) beyond standard field types
Typeform
Health Self-Assessment Quiz Form TemplateA general health self-assessment quiz template with Typeform's conversational, one-question-at-a-time interface. It's framed as a personal self-assessment quiz rather than a research survey into supplement/wearable purchasing, stacking, or abandonment behavior, so most of QuestionPunk's target constructs (budget allocation, decision trade-offs, recent behavior change) aren't its focus. Good UX polish, but still a fixed-question flow.
優れている点
- Polished, conversational one-question-at-a-time interface that's pleasant for respondents
- Easy to customize branching logic within Typeform's builder
- Broad applicability as a general health self-assessment starting point
物足りない点
- No adaptive AI interview or voice interview capability to dig into a specific recent behavior change
- Not purpose-built for supplement/wearable stack research (budget split, category trade-offs, abandonment triggers)
- No automated quality scoring or transparent, publishable prompt methodology
よくあるご質問
「Supplement & Wearable Stack Optimization Survey」テンプレートにはどのような設問が含まれていますか?
すぐに使える設問が14問含まれており、最初の設問は次のとおりです:「Hi! We're studying how people build and manage their own supplement and wearable routines — what you take, what you trac…」・「Which wearables or health-tracking devices do you currently use regularly (at least a few times a week)?」・「Which of these supplement categories are you currently taking?」。すべての設問は上でプレビューでき、自由に編集できます。
このアンケートの回答にはどのくらい時間がかかりますか?
回答者は通常、14問を約7分で回答し終えます。
テンプレートは編集できますか?
はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。
このテンプレートは無料で使えますか?
はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。
公開の準備はできましたか?
このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。
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