Color Vision & Contrast Digital Accessibility Assessment
Evaluates how users with color vision differences experience color and contrast in digital interfaces, measuring pain points, satisfaction, design preferences, and customization needs to inform accessible UI/UX design.
No sign-up to try · Unlimited responses on the free plan
Welcome! This survey explores your experience with color and contrast in digital interfaces. Your participation is voluntary — you may stop at any time. There are no right or wrong answers; we want your honest opinions. All responses are confidential and will be reported only in aggregate to inform more accessible design. Estimated completion time: 6–8 minutes.
Powered by QuestionPunk
Default theme. Colors and fonts are yours to change.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Do you have a diagnosed or suspected color vision difference?
- Yes, clinically diagnosed
- I suspect I have one
- No
- Prefer not to say
Which type best describes your color vision difference?
- Deuteranomaly/deuteranopia (red–green)
- Protanomaly/protanopia (red–green)
- Tritanomaly/tritanopia (blue–yellow)
- Monochromacy (achromatopsia)
- Not sure
Which types of digital devices do you use most frequently? Select all that apply.
- Smartphone
- Tablet
- Laptop
- Desktop monitor
- Smart TV or large display
- Other
In the past 30 days, how often did color choices in websites or apps make it harder for you to complete tasks?
In the past 30 days, which of the following were difficult when color was the only cue? Select all that apply.
- Seeing active vs. inactive states
- Reading status badges (e.g., success, error)
- Understanding form validation states
- Reading charts or heatmaps
- Interpreting maps or legends
- Telling links from regular text
- Distinguishing buttons from text
- Other (please specify)
Overall, how satisfied are you with the color accessibility of the apps and websites you regularly use?
How likely are you to recommend the apps or websites you currently use to someone with a similar color vision profile?
How important is strong color contrast for your everyday use of digital interfaces?
Rank the following alternatives to color-only cues from most to least helpful for you.
- Text labels
- Icons or symbols
- Patterns or textures
- Underlines or borders
- Different shapes
- Haptic or audio feedback
If the following customization options were available, which would you be likely to use? Select all that apply.
- High-contrast theme
- Color-blind-friendly palettes
- Increased color differences for states
- Icons on status messages
- Underline all links
- Patterns added to charts
- Other (please specify)
How readable do you find light text on a dark background (e.g., white text on dark blue)?
How readable do you find dark text on a light background (e.g., black text on white)?
How readable do you find low-contrast text (e.g., gray text on a light gray background)?
How readable do you find colored text on a colored background (e.g., red text on green)?
Please describe a recent experience with a website or app where color or contrast either helped or hindered your ability to complete a task.
We'd like to learn more about your color accessibility experiences. An AI moderator will ask you a couple of follow-up questions.
Based on your responses throughout this survey, is there anything else you would like designers to know about your color and contrast needs?
What is your age group?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Which best describes your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
In which region do you primarily live?
- Africa
- Asia
- Europe
- North America
- South America
- Oceania
- Prefer not to say
Thank you for participating! Your responses are valuable and will help make digital interfaces more accessible for everyone.
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 screening flow (diagnosed/suspected color vision difference, specific type) before any experience questions, so responses can be properly segmented rather than treated as one generic audience.
- Contains four distinct readability rating scales (light-on-dark, dark-on-light, low-contrast, colored-on-colored) to quantify perception differences instead of asking one vague 'how readable is it' question.
- Pairs quantitative satisfaction/likelihood-to-recommend scales with a ranking of alternative-to-color cues and a customization-preference question, directly connecting pain points to actionable design fixes.
- Includes an AI follow-up interview that lets participants elaborate on a described accessibility incident in their own words, something a fixed-question form cannot do.
QuestionPro
Product/Service Design Survey TemplateThis is a generic product/service design feedback template, not built around color vision or accessibility at all. It's a ready-to-field static form suited for broad design satisfaction feedback, but a team studying color/contrast accessibility would need to substantially rewrite it. Useful only as a starting skeleton, not a purpose-built accessibility instrument.
What it does well
- Part of an established survey platform with broad template variety and likely easy customization
- Likely includes standard rating-scale questions for gauging product/service satisfaction
Where it falls short
- No color vision, contrast, or digital accessibility focus in the template itself
- Static question set with no adaptive AI follow-up to probe individual accessibility incidents
- No published prompt methodology or automated per-response quality scoring
SurveyMonkey
Design Feedback Survey TemplateA general-purpose design feedback template aimed at gathering opinions on a design/product, not specifically color vision or contrast accessibility. It's fielding-ready for broad UX feedback collection but doesn't address diagnosed color vision differences, readability contrast scenarios, or assistive customization needs. Would require heavy rebuilding to serve this use case.
What it does well
- Backed by a widely-used survey platform, easy to deploy quickly
- Likely covers general aesthetic/usability feedback with familiar question formats
Where it falls short
- No questions targeting color vision differences or contrast-specific readability scenarios
- Fixed-question static form, no adaptive AI or voice interview to explore individual pain points
- No transparent prompt methodology or automated response quality scoring
Frequently asked questions
What questions are in the “Color Vision & Contrast Digital Accessibility Assessment” template?
The template includes 20 ready-to-use questions, starting with: “Do you have a diagnosed or suspected color vision difference?” · “Which type best describes your color vision difference?” · “Which types of digital devices do you use most frequently? Select all that apply.”. The full set is previewed above, and every question is editable.
How long does this survey take to complete?
Respondents typically finish the 20 questions in about 10 minutes.
Can I customize this template?
Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.
Is this template free to use?
Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies on similar topics.






