Q01
Message
All templates
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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
21 questions · ~10 min
Q02
Multiple Choice
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
Q03
Long Text
Please name one feature you recently used or tried to find in this product (within the past 14 days).
Q04
Multiple Choice
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
Q05
Ranking
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
Drag to rank
Q06
Long Text
In your own words, what helped or hindered you when finding that feature?
Q07
Multiple Choice
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
Q08
Message
Thank you for your insights — your feedback will directly help us improve feature discoverability. You're all set!
Q09
Multiple Choice
Which of the following devices do you use for this product? Select all that apply.
- Desktop or laptop
- Mobile phone
- Tablet
- Other
Q10
Long Text
If you used in-product search, what keyword(s) did you try?
Q11
Multiple Choice
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
Q12
Long Text
What is one change that would make this feature easier to find next time?
Q13
Multiple Choice
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
Q14
Opinion Scale
Overall, how easy or difficult was it to find that feature?
Scale: 1 – 7
Min:Very difficultMax:Very easy
Q15
Multiple Choice
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
Q16
AI Interview
Based on your responses, we'd like to explore your feature-discovery experience a bit further.
Q17
Multiple Choice
Which region are you in?
- North America
- Latin America
- Europe
- Middle East or Africa
- Asia
- Oceania
- Prefer not to say
Q18
Opinion Scale
Once you located the feature, how clear was its name or label?
Scale: 1 – 7
Min:Not at all clearMax:Extremely clear
Q19
Long Text
Based on your responses throughout this survey, is there anything else you'd like to share about finding or discovering features in this product?
Q20
Multiple Choice
What is your age range?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Q21
Multiple Choice
Do you use any assistive technologies (e.g., screen reader, voice control) when using digital products?
- Yes
- No
- Prefer not to say
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
- 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.
What it does well
- 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)
Where it falls short
- 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.
What it does well
- 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
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.