Appeal measures how your design looks and feels at first glance. It captures the gut reaction users have when they see your product before they interact with it.Use this metric when visual impression matters. It works well for testing early concepts, comparing layouts, or reviewing designs where style and tone carry real weight. If trust, clarity, or excitement needs to come across immediately, this is where to check it.Appeal helps you understand whether your design is drawing people in or pushing them away. A strong first impression sets the tone for everything that follows.Interpreting the ResultsUse this key to understand what your Appeal score means and how to interpret that for your product experience:How to Calculate AppealThe Appeal metric measures participants’ immediate satisfaction with the visual design or overall look of a product or page.1. Set up questionsTo measure Appeal, use a Likert scale question asking participants to rate their satisfaction from Very Dissatisfied (1) to Very Satisfied (5). Place this question immediately after showing the design in your test so responses capture first impressions.Distribute the survey to your target audience through a remote testing platform or in-session usability study.2. Collect dataIn this example, participants viewed a homepage design and rated their appeal using the Likert scale.Responses included a range of satisfaction levels—from Very Satisfied and Somewhat Satisfied to Neutral, Somewhat Dissatisfied, and Very Dissatisfied.Plug data into formulaFirst, convert each satisfaction level to its corresponding numerical value:Very Satisfied = 5Somewhat Satisfied = 4Neutral = 3Somewhat Dissatisfied = 2Very Dissatisfied = 1The calculate the sum of those ratings to use in the formula:Then, multiply each percentage by its rating value and sum the results. The total is divided by the number of responses to get an average rating, which is then divided by 5 to convert it to a percentage.Calculate the Appeal scoreOnce you have the sum of your Likert ratings, you can calculate your overall Appeal score:The Appeal score for this data set is 73%, which falls in the Good range on a scale from Very Poor to Very Good. This means participant satisfaction with the look of the design was decent, with room for optimization to reach very good levels.When to Use Appeal MetricsAppeal metrics help you understand how users respond to the visual design of your product at first glance. By capturing initial reactions to layout, color, typography, and overall styling, you can gauge whether your design feels attractive, modern, or trustworthy. This is especially important because visual impressions are formed instantly and can shape how users perceive the rest of the experience. Measuring appeal allows you to spot visual weaknesses early, strengthen brand alignment, and create more inviting interfaces.Landing Pages and Marketing ScreensUse appeal metrics to evaluate the visual impact of your landing pages, homepages, and campaign designs. These are often the first touchpoints with your product or brand, so it's critical they make a strong impression. A low appeal score may suggest visual clutter, outdated design, or weak brand alignment. Improving visual appeal here can boost user trust and increase click-through or conversion rates.Design Variations and A/B TestingWhen testing layout or theme variations, appeal metrics help you identify which version resonates most with users visually. Whether comparing colors, spacing, imagery, or typography, these insights reveal which designs users naturally gravitate toward. This supports faster, more confident design decisions and helps you align aesthetics with user expectations.Brand Refresh or Visual RedesignDuring brand updates or major UI overhauls, appeal metrics show whether new visuals feel like an improvement. They allow you to validate that your updated look feels intentional, consistent, and aligned with user perception of your brand. This is especially helpful in tracking design reception before and after rollout, minimizing the risk of backlash or confusion.How an E-commerce Brand Evaluated Homepage AppealTo understand how their product experience impacted long-term customer sentiment, the team behind Advent—a B2B ad campaign management platform—tested how likely users would be to recommend the product to others. With product competition growing fast in the adtech space, Advent needed to know if their users were simply satisfied or truly loyal. They used the Loyalty UX metric, built on the Net Promoter Score (NPS) formula, to quantify that brand advocacy.The SetupParticipants were shown a full mockup of the redesigned homepage. They were then asked to rate their satisfaction with the design’s visual appeal on a 5-point Likert scale, ranging from Very Dissatisfied to Very Satisfied. The final Appeal score was calculated as the percentage of participants who responded positively (Very or Somewhat Satisfied).The ResultsThe responses from participants produced the following data set:We plugged the data into the Appeal formula to reveal the score:The homepage received an Appeal score of 73%, indicating decent approval30% of users said they were Very Satisfied, while another 31% were Somewhat Satisfied22% were Neutral, with 18% expressing some form of dissatisfactionWhile users appreciated the clean structure and muted palette, several found the homepage “lacking energy” or “visually flat” compared to competing fashion brandsThe ImpactThe design team took the feedback and focused on elevating visual hierarchy and brand tone. They added bolder type treatments, refreshed imagery with more lifestyle photography, and refined the use of white space to create stronger contrast. Testing Appeal helped the team ensure that their homepage design made the stylish first impression users expected from Getup.SourceHelio SurveyCSVHow to Use AI to Measure AppealUsing the 5-point scale question outlined in the How to Calculate section above, gather responses on a survey from an audience of at least 100 respondents. We find that 100 responses is statistically significant in most markets. Once the responses are collected, download the CSV file of your data report and upload it into an AI platform along with the prompt below.Copy this AI prompt to calculate your own Appeal score, and check out the type of output it would produce:Technicals for Measuring AppealWe’ve built out a UX Metric framework that we’re using in our Helio platform. Here, we’ve laid out what we’ve done, and how other developers can use this. You can also become a Glare Code Contributor on ourUX Metric framework.How to UseWith our framework, you can use theGlare::UxMetric::Appeal::Parsermodule to parse Appeal data.Follow these steps:First, require the module to be able to use it.Next, pass a valid data structure into the choices parameter as an argument.When callingGlare::UxMetric::Appeal::Parser.new, you get aParserinstance. This grants access to the parse and valid? methods.Use parse to obtain a score result, known asGlare::UxMetric::Result.appeal_feedback = { very_satisfied: 25, somewhat_satisfied: 30, neutral: 10, somewhat_dissatisfied: 5, very_dissatisfied: 2 }

2. Instantiate the Parser with your data.

parser = Glare::UxMetrics::Appeal::Parser.new(choices: appeal_feedback)

3. Parse the data and get the results.

analysis_result = parser.parseTemplates & Presentation MaterialsCreate effective presentation slides, document design concepts, and implement UX Metrics with templates and resources.We've done the work to provide professional layouts that communicate to your stakeholders. UX Metric cards clearly communicate the totals, allow space for breakdowns, and styled to allow for your own brand.Visit Findings for TemplatesResourcesThe Resources section provides a collection of articles, case studies, methods, and blog posts to support your work within the UX metrics framework. These materials offer insights into best practices, research methodologies, and practical applications for improving design comprehension and usability. Whether you're refining your design process or conducting user research, these resources will help guide you towards data-informed, user-centered decisions.ArticlesMeasuring The Visual Appeal of WebsitesbyJeff Sauro, PhDSo what about the webpage causes low and high ratings of visual appeal? It turns out this isn’t an easy question to answer.Emotional Responseby Interaction Design FoundationEmotional response in user experience design refers to feelings, reactions and experiences users have when they interact with a product or service.14 Key UX Metrics and KPIs You Must Track in 2025byShivani DubeyWalks you through the steps to measure UX, figure out what’s working (and what’s not), and build experiences that people love—and that drive results.Measuring UX: User Experience Questionnaire (UEQ)byElena MitsiouThe first aspect that UEQ looks at is the attractiveness of the product. This aspect reflects thegeneral impressionof the users and the sentiments that the product raises.Helio MethodsVideo Testingby HelioInteraction Matrixby HelioHelio Case studiesHelloFresh Membership Offer Effectivenessby HelioValidated Banking Site Landing Page Concepts, by HelioHelio blog postsMastering Copy Testing: Your Ultimate Guide to Crafting Irresistible Copyby Bryan ZmijewskiWho’s the Heavyweight in the Fight Between Long and Short Copy?by Bryan ZmijewskiUnraveling Buyer Intentby Bryan ZmijewskiFrom Mobile-First to User-First: Rethinking Responsive Landing Pages, by Bryan ZmijewskiThe Helio Data-informed Design Process, by Bryan ZmijewskiTake This Further with the UX Metrics AI SkillsAppeal measures how attractive users find your product using survey questions turned into a single number score. TheUX Metrics AI Skillsis a package you load into your LLM so you can ask questions and get expert answers anytime.Write survey questions that measure appeal accuratelyUnderstand what your appeal score is actually telling youCompare appeal scores across designs or product versionsConnect appeal data to design decisionsDrop it into your LLM and start asking questions right away.