Card Sorting For UX

🔎 How To Redesign Complex Navigation: How We Restructured Intercom’s IA (https://lnkd.in/ezbHUYyU), a practical case study on how the Intercom team fixed the maze of features, settings, workflows and navigation labels. Neatly put together by Pranava Tandra. 🚫 Customers can’t use features they can’t discover. ✅ Simplifying is about bringing order to complexity. ✅ First, map out the flow of customers and their needs. ✅ Study how people navigate and where they get stuck. ✅ Spot recurring friction points that resonate across tasks. 🚫 Don’t group features based on how they are built. ✅ Group features based on how users think and work. ✅ Bring similar things together (e.g. Help, Knowledge). ✅ Establish dedicated hubs for key parts of the product. ✅ Relocate low-priority features to workflows/settings. 🤔 People don’t use products in predictable ways. 🤔 Users often struggle with cryptic icons and labels. ✅ Show labels in a collapsible nav drawer, not on hover. ✅ Use content testing to track if users understand icons. ✅ Allow users to pin/unpin items in their navigation drawer. One of the helpful ways to prioritize sections in navigation is by layering customer journeys on top of each other to identify most frequent areas of use. The busy “hubs” of user interactions typically require faster and easier access across the product. Instead of using AI or designer’s mental model to reorganize navigation, invite users and run a card sorting session with them. People are usually not very good at naming things, but very good at grouping and organizing them. And once you have a new navigation, test and refine it with tree testing. As Pranava writes, real people don’t use products in perfectly predictable ways. They come in with an infinite variety of needs, assumptions, and goals. Our job is to address friction points for their realities — by reducing confusion and maximizing clarity. Good IA work and UX research can do just that. [Useful resources in the comments ↓] #ux #IA

💡Card Sorting and Tree Testing: when and how to use tools Card sorting and tree testing are valuable UX research methods for designing information architecture. 🍎 Card sorting Card sorting helps you understand how users perceive and categorize information. It’s used to create or the structure of a website or app (content organization) Types of card sorting: ✔ Open card sorting: Participants organize cards into groups and name each group. Best for discovering how users think about content and creating initial IA. ✔ Closed card sorting: Participants organize cards into predefined groups. Useful for validating an existing IA or when you have specific categories in mind. ✔ Hybrid card sorting: Combines open and closed methods, where some categories are predefined, and participants can create new ones. When to use card sorting: ✔ To understand users' mental models and terms your target audience uses. ✔ When designing or redesigning a website or app's navigation system. ✔ Early in the design process, to gather insights for structuring content. Tools for card sorting: Maze OptimalSort UserZoom 🍏 Tree testing Tree testing evaluates the findability of topics in your website or app's information architecture. It’s used to validate and refine the IA by seeing how well users can navigate through a text-only version of the site structure. Participants are given tasks to find specific items or information. Success rates, time taken, and paths taken are analyzed to identify problem areas. When to use tree testing: ✔ After creating an initial IA through card sorting. ✔ To test and refine the effectiveness of your navigation labels and structure. ✔ Before fully implementing a new or revised IA. Tools for tree testing: Treejack (by Optimal Workshop) UserZoom UserTesting Common workflow with card sorting & tree testing: 1️⃣ Initial UX research and card sorting ✔ Start with user research to understand your audience and create a user persona.  ✔ Conduct open card sorting to gather insights on how users categorize information. ✔ Analyze results to create an initial draft of the IA. 2️⃣ Refine IA draft with tree testing ✔ Use tree testing to evaluate the draft IA ✔ Identify areas where users struggle to find information. ✔ Iterate on the IA based on tree testing results. 3️⃣ Validation and implementation ✔ Implement the finalized IA in the website or app. ✔ Continuously monitor user feedback and behavior to make iterative improvements. ✔ Conduct additional rounds of tree testing if necessary to refine the IA. 📖 Guides: ✔ Card sorting in product design (+ video tutorial) https://lnkd.in/dFdsWPea ✔ Tree testing: a complete guide(+ video tutorial) https://lnkd.in/dPwB96-y ✔ Information architecture design: step by step https://lnkd.in/dT92ExhC 🖼 Card sorting vs tree testing by Maze #UX #design #IA

Card sorting is a versatile UX research method that reveals how users naturally categorize information, offering invaluable insights for structuring your digital products. Here are five key aspects to understand about card sorting: 1. Understand Users' mental models Card sorting helps uncover users' mental models by allowing them to organize topics into groups that make sense to them. This understanding is crucial for creating an information architecture that aligns with user expectations. 2. Choose the right type of card sort There are different types of card sorting methods, each serving specific purposes: Open card sort: Participants create and name their own categories, providing insights into their natural grouping logic. Closed card sort: Participants sort items into predefined categories, useful for evaluating existing structures. Hybrid card sort: Combines both approaches, allowing participants to use predefined categories and create new ones if necessary. 3. Prepare neutral and clear card labels The phrasing of each card label can significantly influence how users group them. It's essential to use neutral and clear labels to prevent participant bias and encourage thoughtful, conceptual grouping. 4. Analyze and apply the findings thoughtfully After conducting a card sort, analyze the data to identify patterns in how users group information. These insights can inform the design of your site's navigation and overall information architecture, ensuring it aligns with user expectations. 5. Recognize the limitations Ofcourse card sorting is a great method, but not a perfect one (isn't any method?) It may not provide definitive answers or account for all contextual factors influencing user behavior. Therefore, it's best used in conjunction with other research methods to develop a comprehensive understanding of user needs. By incorporating card sorting into your UX research toolkit, you can design more intuitive and user-friendly digital experiences that resonate with your audience. When's the last time you used this method? And what did it gain you?

Unlocking Better UX with Card Sorting 🚀🔥 Ever struggled to organize content in a way that makes sense to your users? That’s where Card Sorting comes in! 🔹 What is Card Sorting? It’s a simple yet powerful UX research technique where participants categorize content into groups that feel natural to them. This helps teams design intuitive navigation and structure for websites, apps, or products. 🔹 Why It Works: ✅ Reveals how users think about information ✅ Improves IA (Information Architecture) ✅ Reduces friction in user journeys ✅ Data-driven decision-making for content organization 🔹 How to Run a Card Sorting Workshop: 1️⃣ Define your goal (e.g., improve website navigation) 2️⃣ Prepare a set of cards with key topics or features 3️⃣ Let participants sort them into categories 4️⃣ Analyze patterns and refine your structure 💡 Whether you’re designing a new product or revamping an existing one, card sorting is a game-changer for creating user-friendly experiences. #UXDesign #UserResearch #CardSorting #InformationArchitecture #DesignThinking

In a recent UX project, focused on a collaborative productivity platform, card sorting played a pivotal role in understanding how users in B2B scenarios mentally organize content. The idea was to identify navigation patterns that align with the task flow expectations of users. During card sorting sessions with a diverse set of B2B users, labeled cards representing various toolsets were organized based on individual criteria. This process unveiled insights into how professionals in B2B settings naturally group content, whether it be task-oriented or feature-centric. However, relying solely on card sorting posed challenges in determining a definitive navigation structure. Given the varied preferences in content grouping among B2B users, additional research and critical analysis were essential to finalize the design. Following the insights gained from card sorting, tree testing was employed to assess the proposed navigation structure on a wireframe level, especially crucial for B2B contexts. Using tools like Treejack, participants navigated through a simplified text-based structure to locate specific features, helping to confirm the proposed structure's effectiveness. In B2B scenarios, where task flow efficiency is critical, tree testing may yield areas for refinement, ensuring ease of findability for professionals using the product/ service/ feature. Employing both card sorting and tree testing provided a comprehensive understanding of how to structure content for B2B users: a) Card sorting acted as a discovery tool, generating ideas for content organization based on the mental models of professionals. b) Tree testing rigorously evaluated the proposed navigation structure's effectiveness in a controlled environment, ensuring it aligns with B2B workflow expectations. When applying these methods to B2C scenarios, such as a consumer-facing e-commerce platform, card sorting becomes valuable for uncovering how individual consumers mentally organize products and features. The focus shifts towards user preferences and ease of use, aiming for an intuitive structure that resonates with a broader audience. In startups, where agility and responsiveness are crucial, card sorting can be instrumental in quickly understanding user expectations. Startups may leverage the insights gained to iterate rapidly and align their product with evolving market demands. On the other hand, MNCs, with their established user base and complex product suites, benefit from tree testing to evaluate navigation structures. This helps ensure that the proposed design meets the expectations of a diverse user demographic within a multinational setting. Would love to hear out diverse POVs, which were actually the trigger in the first place that inspired me to put this piece together. Image Courtesy: NN Group