Data Deletion, Export & Portability UX Evaluation
Evaluates user experiences with data deletion, export, and portability flows across digital services. Designed for UX researchers and compliance teams seeking to identify friction points and improve data-control interfaces.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
In the last 12 months, which of the following data actions have you attempted on any online service? Select all that apply.
- Account deletion
- Deleting specific data (e.g., posts, history)
- Exporting or downloading your data
- Transferring or porting data to another service
- None of these
Thinking about that specific flow, how clear were the instructions for completing the process?
When exporting data, which file formats do you prefer? Select all that apply.
- CSV
- JSON
- HTML
- XML
- Open standard (e.g., iCalendar, vCard)
- API-based export
- I have no preference
- Other
Across the services you use, how easy is it to find data-control settings?
We'd like to explore your data-control experience in a bit more depth. Please share your thoughts on what went well or what frustrated you, and we may ask a follow-up question or two.
What is your age group?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for completing this survey! Your feedback will help improve data-control experiences across digital services.
On which types of services have you managed your data in the last 12 months? Select all that apply.
- Social networks
- E-commerce or marketplaces
- Cloud storage
- Productivity or collaboration tools
- Messaging
- Streaming media
- Finance or banking
- Health or fitness
- Travel or transport
- Gaming
- Other
- None of these
How clear was it what would happen to your data after completing the process?
If you were to transfer your data to another service, which types of destinations would be most relevant? Select all that apply.
- Social networks
- Photo storage
- Note-taking or productivity tools
- Calendar or contacts
- Fitness or health
- Personal finance
- Messaging
- Cloud storage
- Other
- None of these
Overall, how satisfied are you with your data-control experiences across services in the last 12 months?
Based on your responses in this survey, if you could change one thing to improve clarity or control in data management flows, what would it be?
Which region do you primarily live in?
- Africa
- Asia
- Europe
- Latin America & Caribbean
- Middle East
- North America
- Oceania
- Prefer not to say
How comfortable are you with adjusting privacy and account settings on digital services?
During that flow, how much control did you feel you had over which data was affected?
How confident are you that services will handle your data deletion, export, or transfer requests correctly?
Which data action will you evaluate in this survey? Please select your most recent attempt.
- Account deletion
- Deleting specific data
- Exporting or downloading your data
- Transferring or porting data to another service
- I have not attempted any of these in the last 12 months
How much control did you feel you had over the timing and pacing of the process?
Approximately how long did the end-to-end process take, including searching, reading, and any waiting periods?
- Less than 1 minute
- 1–5 minutes
- 6–15 minutes
- 16–30 minutes
- 31–60 minutes
- More than 1 hour
- The process is still pending
- I don't recall
What was the outcome of your most recent attempt?
- Completed successfully on first try
- Completed after multiple tries
- Started but abandoned
- Could not find how to start
- Decided not to proceed
Which factors, if any, made the process harder? Select all that apply.
- Hard to find the settings location
- Unclear or legalistic wording
- Too many steps or pages
- Long waiting or cooldown periods
- Re-authentication or verification hurdles
- Concern about losing access or content
- Lack of transparency about outcomes
- Other
- None of these
How well did the actual result match what you expected?
- Matched completely
- Mostly matched
- Partly matched
- Did not match at all
After submitting your request, did you receive confirmations or status updates within the stated timeframe?
- Yes, within the stated timeframe
- Yes, but later than stated
- No updates, but the request completed
- No updates, and I'm unsure if it completed
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
- Lets respondents self-select which specific action (deletion, export, or portability) they most recently attempted via a dedicated dropdown, then tailors follow-up questions to that exact flow.
- Uses multiple opinion-scale items to isolate distinct friction dimensions — clarity of instructions, understanding of data outcomes, sense of control over scope, and control over timing/pacing.
- Captures outcome, blockers, expectation match, and confirmation/status communication with multiple-choice items, plus format and destination preferences for export/portability scenarios.
- Adds an adaptive AI follow-up interview to probe deeper into the respondent's actual experience, and closes with an open-text question on the single change that would most improve the flow.
SurveySparrow
Data Request Form Template | For Accessing Client DataThis is a conversational intake form for logging or fulfilling client data requests, not a UX research instrument for evaluating deletion/export/portability friction. It's fielding-ready as an operational form but doesn't probe clarity, control, or satisfaction with the process itself. Useful as a workflow tool rather than a comparable research template.
What it does well
- SurveySparrow's conversational, one-question-at-a-time format is generally easy for respondents to complete
- Positioned as a ready-to-use form for intake/operational data-request handling
- Likely supports basic branching/conditional logic typical of SurveySparrow forms
Where it falls short
- Static question set with no adaptive AI follow-up probing into why a flow was confusing or frustrating
- No automated per-response quality scoring or auto-generated UX/compliance report
- Not designed to measure friction, clarity, or satisfaction across deletion/export/portability journeys — it's a request-intake form, not an evaluative research survey
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.