Traditional usability tests often treat user experience factors in isolation, as if different factors like usability, trust, and satisfaction are independent of each other. But in reality, they are deeply interconnected. By analyzing each factor separately, we miss the big picture - how these elements interact and shape user behavior. This is where Structural Equation Modeling (SEM) can be incredibly helpful. Instead of looking at single data points, SEM maps out the relationships between key UX variables, showing how they influence each other. It helps UX teams move beyond surface-level insights and truly understand what drives engagement. For example, usability might directly impact trust, which in turn boosts satisfaction and leads to higher engagement. Traditional methods might capture these factors separately, but SEM reveals the full story by quantifying their connections. SEM also enhances predictive modeling. By integrating techniques like Artificial Neural Networks (ANN), it helps forecast how users will react to design changes before they are implemented. Instead of relying on intuition, teams can test different scenarios and choose the most effective approach. Another advantage is mediation and moderation analysis. UX researchers often know that certain factors influence engagement, but SEM explains how and why. Does trust increase retention, or is it satisfaction that plays the bigger role? These insights help prioritize what really matters. Finally, SEM combined with Necessary Condition Analysis (NCA) identifies UX elements that are absolutely essential for engagement. This ensures that teams focus resources on factors that truly move the needle rather than making small, isolated tweaks with minimal impact.
Understanding User Experience Design
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Summary
Understanding user experience (UX) design means grasping how to create products that are usable, enjoyable, and meaningful for users. It involves studying how people interact with technology to ensure designs meet their needs and expectations effectively.
- Analyze interconnections: Look beyond individual usability factors and examine how elements like trust, satisfaction, and usability influence each other to improve overall user engagement.
- Track customer behavior: Use metrics at every stage of the product lifecycle—pre-launch, testing, and post-launch—to adapt designs that align with user needs and business objectives.
- Emphasize user psychology: Apply design principles, like the Goal-Gradient Effect or Peak-End Rule, to create user experiences that are intuitive and memorable, encouraging deeper engagement.
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Track customer UX metrics during design to improve business results. Relying only on analytics to guide your design decisions is a missed opportunity to truly understand your customers. Analytics only show what customers did, not why they did it. Tracking customer interactions throughout the product lifecycle helps businesses measure and understand how customers engage with their products before and after launch. The goal is to ensure the design meets customer needs and achieves desired outcomes before building. By dividing the process into three key stages—customer understanding (attitudinal metrics), customer behavior (behavioral metrics), and customer activity (performance metrics)—you get a clearer picture of customer needs and how your design addresses them. → Customer Understanding In the pre-market phase, gathering insights about how well customers get your product’s value guides your design decisions. Attitudinal metrics collected through surveys or interviews help gauge preferences, needs, and expectations. The goal is to understand how potential customers feel about the product concept. → Customer Behavior Tracking how customers interact with prototype screens or products shows whether the design is effective. Behavioral metrics like click-through rates and session times provide insights into how users engage with the design. This phase bridges the pre-market and post-market stages and helps identify any friction points in the design. → Customer Activity After launch, post-market performance metrics like task completion and error rates measure how customers use the product in real-world scenarios. These insights help determine if the product meets its goals and how well it supports user needs. Designers should take a data-informed approach by collecting and analyzing data at each stage to make sure the product continues evolving to meet customer needs and business goals. #productdesign #productdiscovery #userresearch #uxresearch
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Ensuring collaboration is central to a product's success during the UX strategy phase begins with uncertainty about where to start. ➡️ It's important to start by integrating resources and knowledge from various areas of expertise. Here's a combined approach on my experience to get a successful results and great user satisfaction rate 1️⃣ Get Smart Early in the Process: Involvement: Bring in PMs, Engineers, Designers, Researchers, and key stakeholders early to gain insights. Understanding: Focus on the "4W's" (Who, What, When, Where), technical impact, and project scope. 2️⃣ Learn and Explore: Understanding Customer Needs: Identify customer pain points and their actual needs. Analysis and Metrics: Make assumptions, conduct competitive analysis, and define success metrics and current statistics. 3️⃣ Define Problem: Validation and Conceptualization: Validate the problem, draft high-level concepts, and define hypotheses for testing. 4️⃣ Design: Concept Creation: Develop low-fidelity (low-fi) concepts and involve researchers for testing. Collaboration: Show concepts to Tech and PMs, and address technical challenges. 5️⃣ Re-iterate: Feedback and Refinement: Fix the main journey (happy path), take internal and external feedback, and implement changes. Testing: Conduct another round of testing. 6️⃣ Hand off to Development: Finalization and QA: Design the final prototype, perform QA testing, and ensure all workflows are correct. Cross-Platform Check: Ensure designs are optimized for all viewports. Approval: Get sign-off from all parties before handing over to development. 7️⃣ Launch and Monitor: Post-Launch Feedback: After launching, gather feedback through success metrics and third-party tools. Client and User Feedback: Seek feedback from real clients and conduct user interviews. Refinement: Address major feedback issues, prioritize, and monitor. Useful Resources ✅ Ux Vision — A vision is an aspirational view of the experience users will have with your product, service, or organization in the future. https://lnkd.in/gPPY-zPJ https://lnkd.in/g8Rc9pzp ✅ Outcome over Outputs — Work towards purposeful outcomes (problems solved, needs addressed, and real benefits) leads to better results. https://lnkd.in/gAFX_Wxw ✅ OKR in UX — Define objectives and measurable key results to guide and track UX work. https://lnkd.in/gDYvreN2 ✅ UX Goal Analytics — Focus on UX goals to drive analytics measurement plans, rather than tracking superficial metrics. https://lnkd.in/g3QmZqBd #UxStrategy #TransitionToUx #UxCoach #BeAvailable
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Genius UX Laws to design great products. I just found a fantastic, free collection of Laws of UX. They can help us: → Come up with better product ideas. → Come up with better hypotheses. → Analyze and understand any usability issues. The top 8: 1. Aesthetic-Usability Effect Users perceive designs that are aesthetically pleasing as more usable. Product teams should recognize this effect, particularly when testing user prototypes. 2. Doherty Threshold Productivity peaks when interactions between a computer and its users occur in less than 400 milliseconds. You can enhance the perceived speed of your product with techniques like animations or progress indicators. Also, try to search for posts on LinkedIn. LinkedIn quickly displays an empty skeleton with animations before getting any response from the server. 3. Von Restorff Effect In a group of similar items, the one that stands out is most remembered. A common approach highlights one “primary action” the user is encouraged to take. 4. Goal-Gradient Effect Users’ motivation increases as they get closer to completing a task. You can encourage users by showing them how close to the end they are with the help of progress bars or checklists. You can also consider presenting an illusion of progress, such as starting from 20% or moving the bar regardless of whether the progress can be determined. 5. Hick’s Law The time it takes to make a decision increases with the number and complexity of choices. Reduce options when quick decisions matter. Break down complex tasks into smaller, manageable steps. 6. Miller’s Law The average person can only keep 7 (+-2) items in their working memory. Focus on breaking down information into manageable chunks. For example, in the jobs section, LinkedIn displays 5 icons in the top menu, 7 links in the left menu, and 7 suggested job searches in the middle. 7. Peak-End Rule People remember the most intense point and the end of an experience more than the entire journey. Product teams should focus on enhancing the high-impact moments and the final step of the user experience. For example, HubSpot celebrates creating an account with animated confetti. 8. Postel’s Law Be liberal in what you accept and conservative in what you send. Let's say you have a form that requires a phone number. Forcing users to use a specific format might cause frustration. Yet, it’s a widespread mistake. Credit: Jon Jablonski! ***** If you found this useful, consider reposting ♻️ to your network. 👉 P.S. If you enjoyed this post, you'll love my newsletter - a 3-minute breakdown of the proven design playbooks and strategies behind the world’s greatest companies. Join 211,000+ design nerds from companies like Google, Meta, Atlassian, and Netflix: https://lnkd.in/grUNykbT #design #careers #leadership