Visual Design Quality Metrics

Creating design impact starts with identifying the right KPI metrics. Design is multi-layered and iterative–it shapes solutions and identifies problems. It’s both a verb and a noun, serving as both a process and a result. To ensure a project's success, it's crucial to determine how the work will create an impact by starting with the Design KPI that will improve business outcomes. Designers should engage stakeholders in this conversation to build trust in the process. Various measurements can be identified throughout a project to indicate the likelihood of creating a positive impact. Before starting a design initiative, consider how to shape the business outcome with design metrics. Let’s look at a specific Design KPI: Achieve an average usability of 80% within the first three months post-launch. _____________ 📈 Leading Indicator Understanding customer needs and potential market directions predicts future trends. Activity ↳ Conduct user interviews and surveys before the design phase. Metric ↳ Percentage of respondents indicating a need for a specific feature or functionality. If 70% of surveyed users need real-time data visualization in the dashboard, this insight can guide the design process and predict the feature's success. _____________ 📈 Proxy Metric Provides indirect performance measures as intermediaries to track progress and validate design decisions. We use Helio. Activity ↳ Perform usability testing on early prototypes. Metric ↳ Task completion rates and time taken to complete tasks during testing sessions. If users can complete tasks 80% of the time with the prototype, the design is on the right track toward achieving the final usability goal. _____________ 📈 Analytics Involves detailed analysis of user actions to understand how customers interact with the product and identify areas for improvement. Activity ↳ Analyze user interaction data from the dashboard after launch. Metric ↳ User engagement metrics include average session duration, click-through rates on key features, and user retention rates. If analytics show that users spend an average of 5 minutes on the dashboard with high interaction rates on key features, the design effectively meets user needs. Conversely, low interaction rates highlight areas needing improvement to achieve the 80% usability target. Many metrics can contribute to a single design KPI, and using a research feedback loop can improve customer clarity around the design initiative. #uxresearch #productdiscovery #marketresearch #productdesign

My nerdy brain loves building frameworks to help explain things…but this was one area I hadn’t tackled before. Brand Visuals. Positioning, messaging, differentiation, categories – I've spent a ton of time on those. And while I talk quite a bit about visuals in my work I never really defined criteria for it. So I decided to break it apart into two overarching categories: 1. Visual Quality: analyzing the design as a whole and how well it communicates the brand’s value across 6 dimensions: - Consistent (across all design elements) - Unique (stands out in the landscape) - Clear (easy to understand) - Aligned (with the target audience) - Engaging (on an emotional level) - Elevated (to support the brand story) 2. Design Elements: looking at 6 specific areas of the design, how they're used and how well each one contributes to that overall story: - Logo - Colors - Images - Graphics - Typography - Structure What I like about using a framework like this is that: - It takes something with a lot of variables and helps you break it down into more digestible parts. - It gives you and anyone else you’re talking with about the design some common language to help guide discussions. - No matter how experienced you are in design, being able to focus on specific parts instead of broad statements like “Something is just off” or “It doesn’t feel right” helps you have way more productive conversations on what’s actually working and what’s not. You can of course go super deep on this topic so it's not meant to be a comprehensive look at everything that goes into good design. But I think it’s a solid starting point that can help spark discussions around what you want to improve. Bonus: This framework now exists in SmokeLadder so you can run an analysis on any site in less than a minute. It’ll even give you some high level insights on things to focus on to improve. 👍

💡Design System Metrics Design system brings two main benefits: Consistency and Efficiency. It helps minimize usability issues and maintain design consistency. However, without metrics, it can be hard to tell how well the system performs. That’s why it’s recommended to define metrics up front when establishing a foundation for your design system. Here are some popular design system metrics: Product design process: ✔ Adoption rate. What % of products use the design system? The more the design system is used, the more time is saved. ✔ Average task completion time. The time designers spend on completing the task (for example, designing a new user flow). Compare before/after the design system. ✔ Design to development time. Design system should speed up the handoff process from designers to developers. ✔ Component usage. The number of components used across products vs the total number of components available in the design system. Compare the usage of components in design (Figma) and code (Github). This will help you identify unused components.  ✔ Effect on code. Measure code complexity and how much code developers change with each release. ✔ Number of component detachments (Figma). If some components are often detached, you won’t have the right picture of how effective the design system is. Design output quality: ✔ User interface design consistency. # of visual inconsistencies in a final design.  ✔ Error rates and usability issues. Whether the design system reduces error rates and usability issues. ✔ Design documentation state. % of outdated docs. Outdated docs increase the risk of releasing inconsistent design. ✔ Accessibility score. How the design system improves accessibility (e.g., WCAG score) Business: ✔ Return on Investment (ROI). ROI is a key metric that stakeholders analyze to understand if the investment in DS is paying off. ✔ Team satisfaction score. How do team members feel about the design system? Collect feedback to understand what problems team members face using a design system. ✔ Tech debt. After having the design system in place, there should be less tech debt. ✔ Average time to market. The time the product team spends on releasing a new feature/scenario. Compare before/after the DS. ✔ Company scalability. How does workload capacity change after having the design system? ✔ Brand consistency. There should be less work required to fix visual differences because the design system drives repeat usage. 📖 Guides and tools: ✔ Measuring DS success (by Nathan Curtis) https://lnkd.in/gA25QK73 ✔ Measuring the impact of a design system (by Cristiano Rastelli)  https://lnkd.in/dx5YMWta ✔ Design system metrics collection, checklist for Figma (by Romina Kavcic)  https://lnkd.in/gAeN_sfk 🖼 Design system adoption by Stylebit #designsystem #designsystems