Product Feature Discoverability Assessment
Measures how users locate, recognize, and evaluate in-product features. Designed for product and UX research teams to diagnose navigation friction, benchmark discoverability, and prioritize information-architecture improvements.
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。
In the last 30 days, approximately how often did you use this product?
- Daily
- 3–6 times per week
- 1–2 times per week
- Less than weekly
Please name one feature you recently used or tried to find in this product (within the past 14 days).
Thinking about the feature you named, how did you first find (or try to find) it?
- Browsing the navigation or menus
- Home or dashboard area
- Button or icon near the related task
- Search within the product
- Onboarding checklist or tutorial
- In-app tip, coach mark, or walkthrough
- Notification or What's New panel
- Help center or documentation
- A colleague or friend told me
- External website, blog, or video
- I had used it before and remembered where it was
- I couldn't find it at first
- Other
Rank where you would most expect to find this type of feature (most to least likely).
- Top navigation bar
- Profile or account settings
- Contextual menu near the related action
- Search results page
- Home or dashboard shortcuts
In your own words, what helped or hindered you when finding that feature?
Which best describes your primary role when using this product?
- Individual contributor
- Manager or team lead
- Executive or owner
- Student or educator
- Personal use
- Other
- Prefer not to say
Thank you for your insights — your feedback will directly help us improve feature discoverability. You're all set!
Which of the following devices do you use for this product? Select all that apply.
- Desktop or laptop
- Mobile phone
- Tablet
- Other
If you used in-product search, what keyword(s) did you try?
Which of the following discovery aids have you noticed or used in this product? Select all that apply.
- Onboarding tour or checklist
- Tooltips or coach marks
- In-app search
- What's New or changelog panel
- Help center or knowledge base
- Contextual prompts or suggestions
- None of these
- Not sure
What is one change that would make this feature easier to find next time?
How long have you been using this product?
- Under 3 months
- 3–12 months
- 1–2 years
- 3+ years
- Not sure
- Prefer not to say
Overall, how easy or difficult was it to find that feature?
If you had difficulty finding the feature, where did the process stall most?
- Couldn't guess the feature name
- Unsure which menu or section to check
- Too many similar-sounding options
- Search results were irrelevant
- Feature hidden behind upgrade or paywall
- Needed permissions or access I didn't have
- Connection or setup issue blocked me
- I stopped trying
- Not applicable — I found it without difficulty
Based on your responses, we'd like to explore your feature-discovery experience a bit further.
Which region are you in?
- North America
- Latin America
- Europe
- Middle East or Africa
- Asia
- Oceania
- Prefer not to say
Once you located the feature, how clear was its name or label?
Based on your responses throughout this survey, is there anything else you'd like to share about finding or discovering features in this product?
What is your age range?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Do you use any assistive technologies (e.g., screen reader, voice control) when using digital products?
- Yes
- No
- Prefer not to say
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
- Includes a dedicated feature-naming and recall flow (open-text feature name, discovery method, keywords tried) rather than generic product-satisfaction questions
- Pairs quantitative discoverability metrics (ease-of-finding and label-clarity opinion scales, a ranking of expected feature locations) with qualitative open-text on what helped or hindered discovery
- Adds an AI follow-up interview that adaptively probes each respondent's specific discoverability experience, going beyond fixed-question forms
- Captures accessibility context (assistive technology use) alongside role, tenure, region, and device data for segmenting navigation friction
SurveyMonkey
Market Research Product Survey QuestionsThis is a general product market-research template covering broad satisfaction and demand questions, not a discoverability- or navigation-focused instrument. It's a fielding-ready static form built on SurveyMonkey's established survey infrastructure. Useful for general product feedback but would need substantial custom rebuilding to probe feature-finding behavior specifically.
優れている点
- Backed by a widely-used, mature survey platform with broad distribution options
- Template is ready to field immediately for general product market research
- Likely includes standard market-research question types (satisfaction, demand, purchase intent)
物足りない点
- No indication of questions targeting in-product navigation, feature naming/labeling, or search behavior specifically
- Static question set with no adaptive AI follow-up to probe individual discoverability struggles
- No published methodology or prompt transparency, and no per-response quality scoring
SurveySparrow
Product Market Research Survey TemplateA general-purpose product market research template aimed at gauging market fit and customer sentiment, rather than diagnosing where users struggle to locate or evaluate specific in-product features. It's a ready-to-use static template rather than a UX-navigation diagnostic instrument. Teams focused on information-architecture problems would find little feature-discovery-specific structure here.
優れている点
- Conversational form format may improve completion rates for general market research
- Ready-to-field template requiring no custom build for basic product feedback
- Part of a broader survey suite with reporting/dashboard tooling
物足りない点
- No apparent focus on feature findability, labeling clarity, or navigation-stall points
- Fixed question flow with no adaptive AI interviewing to dig into individual discovery paths
- No disclosed scoring methodology or transparent prompt logic for response quality
よくあるご質問
「Product Feature Discoverability Assessment」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21問含まれており、最初の設問は次のとおりです:「Welcome, and thank you for participating! This brief survey ( 10 minutes) asks about your recent experience finding a sp…」・「In the last 30 days, approximately how often did you use this product?」・「Please name one feature you recently used or tried to find in this product (within the past 14 days).」。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、21問を約10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。
関連テンプレート
似たテーマのほかの調査もご覧ください。