QuestionPunkQuestionPunk
Start free
All templates
Product & UX

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.

Use this templateBrowse more templates

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

22 questions · ~10 min
Q01
Message

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.

Q02
Multiple Choice

Do you have a diagnosed or suspected color vision difference?

  • Yes, clinically diagnosed
  • I suspect I have one
  • No
  • Prefer not to say
Q03
Opinion Scale

In the past 30 days, how often did color choices in websites or apps make it harder for you to complete tasks?

Scale: 1 – 5
Min:NeverMax:Very often
Q04
Opinion Scale

How important is strong color contrast for your everyday use of digital interfaces?

Scale: 1 – 7
Min:Not at all importantMax:Extremely important
Q05
Opinion Scale

How readable do you find light text on a dark background (e.g., white text on dark blue)?

Scale: 1 – 7
Min:Very difficult to readMax:Very easy to read
Q06
Long Text

Please describe a recent experience with a website or app where color or contrast either helped or hindered your ability to complete a task.

Q07
Dropdown

What is your age group?

  • Under 18
  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65+
  • Prefer not to say
Q08
Message

Thank you for participating! Your responses are valuable and will help make digital interfaces more accessible for everyone.

Q09
Dropdown

Which type best describes your color vision difference?

  • Deuteranomaly/deuteranopia (red–green)
  • Protanomaly/protanopia (red–green)
  • Tritanomaly/tritanopia (blue–yellow)
  • Monochromacy (achromatopsia)
  • Not sure
Q10
Multiple Choice

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)
Q11
Ranking

Rank the following alternatives to color-only cues from most to least helpful for you.

  1. Text labels
  2. Icons or symbols
  3. Patterns or textures
  4. Underlines or borders
  5. Different shapes
  6. Haptic or audio feedback
Drag to rank
Q12
Opinion Scale

How readable do you find dark text on a light background (e.g., black text on white)?

Scale: 1 – 7
Min:Very difficult to readMax:Very easy to read
Q13
AI Interview

We'd like to learn more about your color accessibility experiences. An AI moderator will ask you a couple of follow-up questions.

Q14
Multiple Choice

Which best describes your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer not to say
Q15
Multiple Choice

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
Q16
Opinion Scale

Overall, how satisfied are you with the color accessibility of the apps and websites you regularly use?

Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q17
Multiple Choice

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)
Q18
Opinion Scale

How readable do you find low-contrast text (e.g., gray text on a light gray background)?

Scale: 1 – 7
Min:Very difficult to readMax:Very easy to read
Q19
Long Text

Based on your responses throughout this survey, is there anything else you would like designers to know about your color and contrast needs?

Q20
Dropdown

In which region do you primarily live?

  • Africa
  • Asia
  • Europe
  • North America
  • South America
  • Oceania
  • Prefer not to say
Q21
Opinion Scale

How likely are you to recommend the apps or websites you currently use to someone with a similar color vision profile?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q22
Opinion Scale

How readable do you find colored text on a colored background (e.g., red text on green)?

Scale: 1 – 7
Min:Very difficult to readMax:Very easy to read

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 Template

This 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 Template

A 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

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

Use this templateStart free

Related templates

More studies from the same category.

See all
Product & UX

Website Navigation & Menu Label Findability Study

Evaluates how users perceive and navigate website menu structures, measuring label clarity, mental models of information architecture, and findability of key content areas. Ideal for UX researchers and product teams validating navigation designs.

View template
Product & UX

Navigation Label Clarity & Findability Assessment

Validates category labels and information architecture by measuring label clarity, task-based findability, perceived overlap, and usage priorities. Designed for UX and product teams evaluating taxonomy structures.

View template
Product & UX

Canary Release Communication Effectiveness Survey

Measures stakeholder perceptions of canary and staged rollout communication clarity, channel effectiveness, and confidence. Designed for DevOps, product, and engineering teams seeking to reduce release risk through better communication.

View template
Product & UX

Beta Program Experience & Value Assessment

Measures beta testers' onboarding ease, feedback loop quality, and perceived product value to guide pre-GA improvements and adoption priorities.

View template
Product & UX

First-Session Onboarding & Activation Survey

Measures new users' first-session experience, onboarding guidance effectiveness, and time-to-value discovery to identify activation friction and improve early retention.

View template
Product & UX

Form & Checkout Abandonment Diagnostic Survey

Diagnoses why users abandon forms, signups, and checkout flows. Captures the specific step, blockers, and recovery levers to reduce drop-off and improve conversion rates.

View template