Onboarding Default Settings Experience Survey
Measures how first-time users perceive, interact with, and evaluate pre-filled default settings during product onboarding. Use this to identify friction points and optimize the first-run setup experience.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Have you used this product before today?
- No, this is my first time
- I tried it once before
- Yes, I've used it a few times
- Yes, I use it regularly
When you saw pre-filled values, how clear was it that they were suggestions you could change, rather than final settings?
When you encountered a pre-filled default during setup, what did you typically do?
- Left it as-is without reviewing
- Quickly reviewed, then kept it
- Quickly reviewed, then changed it
- Changed it right away
- Skipped it and planned to adjust later
How would you prefer suggested default settings to be presented during setup?
- Pre-filled fields with a clear label (e.g., 'Recommended')
- Toggle switches pre-selected
- A separate review step during setup
- Leave fields blank and suggest values inline
- No defaults—start with everything empty
- Other (please specify)
Overall, how satisfied are you with the setup experience, including how default settings were handled?
Which device did you primarily use during setup?
- Desktop or laptop
- Phone
- Tablet
- Other
Thank you for your time! Your responses have been recorded and will help us improve the setup experience. You may now close this window.
How familiar are you with products or services similar to this one?
- Not at all familiar
- Slightly familiar
- Moderately familiar
- Very familiar
- Extremely familiar
The pre-filled default values were relevant to my needs.
Approximately how many default values did you change during setup?
- None (0)
- 1–2
- 3–4
- 5–6
- 7 or more
- I don't remember
Which labels or cues would best help you understand why a default value is suggested? Choose up to 2.
- Recommended
- Popular choice
- Best for most users
- Based on your device
- Best for beginners
- You can change this anytime
Were there any default settings that surprised or confused you during setup? If so, please describe what happened.
What is your age?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Which parts of setup or first use did you complete? Select all that apply.
- Account creation
- Profile details
- Notification settings
- Privacy/permissions
- Payment/billing setup
- Onboarding tutorial/intro
- Data import or sync
- Trial/plan selection
- Other (please specify)
It was easy to change a default value when I wanted to.
Rank the top 3 reasons that most influenced whether you kept or changed default settings.
- Save time during setup
- Protect my privacy/security
- Match my personal needs/preferences
- Trust in the product's recommendations
- Knowing I can change settings later
- Prior habits from similar apps
Where would you expect to find and change default settings later? Select all that apply.
- Main settings page
- Within each feature's settings
- During first-use tutorials
- Profile/account page
- Contextual menu near the control
- I'm not sure
Based on your responses in this survey, is there anything else you'd like to share about the pre-filled defaults or your overall setup experience?
What is your gender? (optional)
- Woman
- Man
- Nonbinary or another gender
- Prefer to self-describe
- Prefer not to say
During setup, did you notice any fields or settings that were pre-filled with suggested values?
- Yes
- No
- Not sure
I trusted that the suggested defaults were chosen with my best interests in mind.
We'd like to understand more about your experience with the default settings during setup. Please share your thoughts and our AI moderator will ask a couple of follow-up questions.
Which country are you located in? (optional)
- United States
- United Kingdom
- Canada
- Australia
- Germany
- France
- India
- Brazil
- Japan
- Other
The default values helped me complete setup faster than if I had started from scratch.
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
- AI follow-ups automatically explore the 'why' behind concept reactions, replacing shallow rating-only templates
- Academic-grade methodology with proper scale construction—no leading questions or attention checks that bias results
- Full reproducibility: every AI prompt, model parameter, and logic branch is logged and visible for replication studies
SurveyMonkey
Product Testing Survey TemplateA well-established template used over 57,000 times, focused on gathering feedback on product concepts, messaging, and pricing. Expert-certified and customizable, but fundamentally a static questionnaire with no adaptive follow-up capabilities.
What it does well
- Used 57,000+ times with high social proof and trust
- Expert-certified questions covering credibility, innovation, value, and quality dimensions
- Supports AI-generated word clouds and basic sentiment analysis on results
Where it falls short
- No AI-powered follow-up questions to explore why respondents rate concepts the way they do
- AI features limited to post-hoc analysis (word clouds, segments)—not real-time interview adaptation
- Black-box AI insights with no transparency into models or prompts used
- Expensive Audience panel upsell for reaching target respondents
Qualtrics
Product Research Survey TemplateA Ph.D.-designed concept testing template with sophisticated methodology including monadic and sequential monadic designs. Enterprise-grade but expensive and complex, with no AI interview follow-ups during data collection.
What it does well
- Ph.D.-designed methodology with monadic and sequential monadic testing options
- Advanced analytics including conjoint analysis and Stats iQ for deeper data exploration
- Pre-built dashboards and automatic reporting for concept comparison
Where it falls short
- Enterprise pricing makes it inaccessible for academic researchers and small teams
- No AI-driven conversational follow-ups during the survey itself
- High learning curve due to feature complexity
- No transparency into how AI-powered analytics arrive at their conclusions
Typeform
New Product Survey TemplateA visually appealing, conversational-style template that asks one question at a time. Great UX for respondents but limited to static branching logic—no AI that adapts questions based on prior answers in real time.
What it does well
- Elegant one-question-at-a-time design that boosts completion rates
- Highly customizable branding with 300+ integrations
- Logic Jumps allow basic conditional branching
Where it falls short
- No AI follow-up capability—branching is pre-defined, not adaptive
- Limited analytics; designed more for data collection than deep research analysis
- Advanced logic jumps restricted to paid plans
- No built-in methodology guidance for proper concept testing scale construction
Jotform
New Product Survey Form TemplateA free, drag-and-drop template focused on collecting basic customer feedback before product release. Easy to set up but methodology is generic and lacks any AI or adaptive research capabilities.
What it does well
- Completely free to use with drag-and-drop customization
- 100+ third-party integrations including Google Sheets and CRM systems
- QR code sharing and multi-device support
Where it falls short
- No AI-powered follow-up questions or conversational capabilities
- Generic question design with no survey methodology guidance
- No concept testing methodology (monadic/sequential) built in
- Basic analytics with no advanced statistical tools
SurveySparrow
Product Feedback Survey TemplateA conversational-style product feedback template with multi-language support and in-app survey embedding. Focuses on general product feedback rather than structured concept evaluation methodology.
What it does well
- Conversational UI with 130+ language support via Google Translate
- Skip/display logic for personalized survey paths
- In-app and offline survey collection capabilities
Where it falls short
- No AI-driven adaptive follow-up during the survey experience
- General product feedback focus—not purpose-built for concept evaluation research
- AI features limited to survey creation assistance, not real-time interview probing
- No transparency into AI model or prompt decisions
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.