Typical Customer Profile and Decision Drivers Survey
Builds a clear picture of your typical customer — how they found you, why they chose you over alternatives, what they value most, and how they actually use your product day to day. An AI follow-up interview digs into the real story behind their top decision driver, giving teams building ideal customer profiles or refining positioning something more concrete than survey averages.
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。
How did you first hear about (Replace with your company/product name)?
- Search engine
- Social media
- Recommendation from a friend or colleague
- Online ad
- Industry event or conference
- Content or blog post
What is the main reason you use (Replace with product name)?
- To save time on a specific task
- To reduce costs
- To solve a problem I couldn't solve any other way
- To improve the quality or accuracy of my work
- To collaborate better with my team
Which of these mattered most — and which mattered least — when you decided to start using (Replace with product name)?
- Price
- Ease of use
- Customer support quality
- Range of features
- Brand reputation
- Recommendation from someone I trust
- Integration with tools I already use
How well does (Replace with product name) fit your day-to-day needs?
In the last 30 days, how often have you used (Replace with product name)?
- Not at all
- Once or twice
- Weekly
- A few times a week
- Daily
How much do you agree with each statement about your experience?
- It fits into my existing workflow easily
- It does what I expected when I first signed up
- I'd recommend it to someone like me
- It's worth what I pay for it
If you've contacted customer support, how would you rate that experience?
You have 100 points to distribute across the ways you use (Replace with product name). Give more points to the uses that matter most to you. (Template note: replace these use cases with the ones relevant to your product before launching.)
- Day-to-day task management
- Reporting or analysis
- Team collaboration
- Client-facing work
- Personal productivity
Explore the real story behind the respondent's top-ranked decision factor from the trade-off exercise: what specifically triggered it, what alternative they compared it against, and what almost stopped them from adopting the product. If their usage in the last 30 days was low or 'not at all', pivot to understanding what's blocking regular use instead of the original decision story.
Which age range do you fall into?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
Which best describes your role?
- Individual contributor
- Manager
- Director or VP
- C-level executive
- Owner or founder
- Prefer not to say
That's everything — thank you for the detailed answers! We'll use these to build an accurate picture of our typical customer and sharpen how we serve people like you.
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 ranking questions with an AI follow-up interview that digs into the real story behind each respondent's top-ranked decision driver from the MaxDiff exercise, not just which option scored highest.
- Combines quantitative measures (opinion scale for product fit, matrix agreement statements, constant-sum point allocation across use cases) with qualitative depth in one flow, so teams get both the 'what' and the 'why'.
- Covers the full customer picture in one survey — discovery channel, primary use reason, usage frequency, support experience rating, and demographics/role — reducing the need to stitch together multiple studies.
- Automated quality scoring and an auto-generated report mean teams building ideal customer profiles get a usable summary, not just raw response exports to manually code.
SurveyMonkey
Typical Customer Analysis Survey TemplateA fielding-ready static template from a large, established survey library. Likely covers standard closed-ended questions on customer background and preferences, backed by SurveyMonkey's broad analytics and benchmarking tools. It's a fixed questionnaire rather than one that adapts based on individual answers.
優れている点
- Backed by a mature survey platform with strong reporting and benchmarking features
- Large template library suggests easy customization within a familiar builder
- Established brand trust for broad audience distribution
物足りない点
- No adaptive AI follow-up interview — every respondent sees the same fixed question set regardless of their answers
- No automated per-response quality scoring or transparent prompt methodology
- No voice AI interview option for richer qualitative capture
Jotform
Customer Interest Profile Form TemplateThis is a customer interest profile form, built on Jotform's drag-and-drop form builder rather than a dedicated survey logic engine. It's better suited to quick data capture than deep decision-driver analysis, and notes suggest it's a form template to customize, not a purpose-built research instrument.
優れている点
- Easy drag-and-drop customization typical of Jotform's builder
- Simple to deploy for quick lead/interest capture
- Wide integration options common to Jotform forms
物足りない点
- Form-style layout with no adaptive follow-up questioning based on responses
- No AI-driven interview or voice interview capability
- No built-in per-response quality scoring or automated analytical report
SurveySparrow
Customer Analysis Survey TemplateSurveySparrow's conversational-style UI makes this static template feel more engaging than a traditional form, and it likely covers typical customer analysis questions like source, usage, and satisfaction. However, the conversational tone is a UI pattern, not true adaptive intelligence that probes individual answers.
優れている点
- Conversational chat-style question flow improves respondent engagement
- Template designed specifically for customer analysis use cases
- Mobile-friendly presentation typical of SurveySparrow's format
物足りない点
- Conversational UI is scripted, not adaptive — it doesn't generate real follow-up questions based on what a respondent says
- No AI interview or voice AI interview functionality
- No transparent prompt methodology or automated quality scoring per response
Typeform
Customer Analysis Survey TemplateTypeform offers a visually polished, one-question-at-a-time template well-suited to customer analysis basics like source, satisfaction, and usage patterns. It's a strong static design experience, but the question set is fixed once published and doesn't probe deeper based on individual responses.
優れている点
- Polished, on-brand visual design and smooth one-question-at-a-time flow
- Good completion rates typical of Typeform's engaging format
- Straightforward customization within Typeform's builder
物足りない点
- No adaptive AI follow-up interview to explore individual respondents' top decision drivers
- No voice AI interview or guided screen-share task options
- No automated quality scoring or transparent prompt-level methodology
よくあるご質問
「Typical Customer Profile and Decision Drivers 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13問含まれており、最初の設問は次のとおりです:「Hi! We're trying to understand who our typical customer really is and what drives their decisions. Your responses are co…」・「How did you first hear about (Replace with your company/product name)?」・「What is the main reason you use (Replace with product name)?」。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、13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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