This article explores user flows, an essential aspect of the UX design process that helps product teams visualize processes and reduce errors. User flows offer numerous benefits, including improved usability, better retention, higher conversions, reduced costs, and increased accessibility.
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Daily UX Update 2023-04-06 🌞
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This article explores user flows, an essential aspect of the UX design process that helps product teams visualize processes and reduce errors. User flows offer numerous benefits, including improved usability, better retention, higher conversions, reduced costs, and increased accessibility. To create successful user flows, designers must consider UX principles such as clarity, simplicity, consistency, flexibility, and effective communication. Different types of user flow visualizations include flowcharts, wireflows, screen-flows, and storyboarding. Common user flow categories include task flows, onboarding flows, conversion flows, navigation flows, account management flows, error flows, and offboarding flows. Creating a user flow involves defining goals, identifying personas, listing user actions, mapping the flow, adding screens, incorporating system feedback, reviewing and iterating, and prototyping and testing.
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Figma has introduced Component Properties, a game-changing feature that streamlines component creation and management. This new feature offers three main advantages: reduced number of variants for each component, easier onboarding for new designers, and better alignment between design and code. The three new component properties are Text, Boolean, and Instance Swap. Text property simplifies text editing, Boolean property allows easy visibility toggling of layers, and Instance Swap property enables quick instance swapping within a component. These properties will help UX professionals create more versatile and efficient design systems by making it easier to customize components and maintain consistency throughout a project.
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Child-computer interaction (CCI) can provide valuable insights to improve UX design and research processes. It is essential to involve children in the design and evaluation process, as their preferences, perceptions, and motor skills differ from adults. Constantly questioning and assessing the suitability of UX research methods can lead to more specific and applicable data collection. CCI researchers' adaptability and flexibility can help maximize participant engagement and collect more comprehensive data. Regularly reflecting on research methods and considering improvements can lead to better results. Lastly, introducing play and fun into the research process can increase participant engagement and rapport, ultimately enhancing the overall UX design. By learning from CCI, UX professionals can improve their research and design processes for more effective outcomes.
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AI is revolutionizing the way we work, with generative AI tools like ChatGPT becoming essential co-workers. Professionals are exploring ways to collaborate with AI and create ethical human-AI ecosystems. AI has been utilized for various tasks, including research synthesis, concepting and ideation, critique, marketing copy, and slide decks. Interaction Designer Takashi Wickes has integrated AI in his synthesis process, using Notion AI to extract key insights from interviews. Designers have also found inspiration through AI-generated images from DALL-E and Midjourney. Critique is another area where AI, like ChatGPT, has been employed to provide constructive feedback. AI has proven valuable in creating marketing copy and slide decks, streamlining creative processes and enhancing collaboration with human professionals. This AI revolution prompts us to rethink our roles and adapt to the changing landscape.
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Generative AI is gaining momentum, but to make it truly useful, designers must acknowledge its limitations and leverage best practices. Input quality is crucial, so providing preset questions or categories can help generate a polished prompt. Constraints and scaffolding can guide users to provide robust input, while using existing artifacts can enhance AI output. Embrace the "quantity over quality" approach for brainstorming and allow users to control and fine-tune results. Finally, AI systems should learn from user habits and preferences for a seamless collaboration experience. By understanding these principles, designers can create powerful AI collaborators that maximize user satisfaction.
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The Segment Anything project introduces a new task, dataset, and model for image segmentation, democratizing the process and reducing the need for specialized expertise. The project's general Segment Anything Model (SAM) and Segment Anything 1-Billion mask dataset (SA-1B) aim to enable a broad range of applications and foster research in foundation models for computer vision. SAM is capable of generating masks for any object in any image or video, even those not encountered during training. Its flexibility allows for easy integration with other systems and is a groundbreaking development for image segmentation. The SA-1B dataset, containing over 1.1 billion segmentation masks, is the largest of its kind and was created using an innovative data engine that combines manual, assisted, and fully automatic mask creation.
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Systems thinking offers a way to understand complex behaviors by focusing on the structure and interactions between parts, rather than just the parts themselves. This approach is essential for comprehending and communicating why systems behave the way they do. Aristotle recognized that the whole is more than the sum of its parts, and that studying the structure is necessary to grasp the essence of a system. To develop a shared understanding of a system, individuals must collaborate and establish a common language. Systems thinking helps build consensus among diverse groups, facilitating the study of complex behaviors like traffic flow or organizational dynamics. It challenges practitioners to identify the relevant parts, relationships, and boundaries of a system while maintaining a balance between simplicity and detail for effective communication.
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The first click on a website is considered crucial to user success, as earlier research has shown that users with an optimal first click were twice as likely to succeed. However, a recent study reveals more modest results, with users being 13% more likely to succeed after making the correct first click. The study also highlights the challenges in identifying the optimal first click on live websites. In tree-testing data, participants with correct first clicks were over six times more likely to succeed. However, little is known about the impact of click testing on images, which raises questions about whether first clicks on images correspond to first clicks on live websites. The study aims to explore this question and compare image first clicks with live site first clicks. The results show differences in the stimuli and the difficulty of comparing static images with dynamic elements on live sites, which may affect the accuracy of click testing predictions.
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In this comprehensive article, Slava Shestopalov shares a checklist for running design workshops, covering all aspects from scoping to risk management. The author emphasizes the importance of understanding the problem and determining whether a workshop is the right choice. They also discuss the significance of gathering information and defining the expected output and outcome. The article highlights the need to involve the right participants, considering their expertise, role, and experience, as well as ensuring proper team dynamics. By following this checklist, UX professionals can effectively plan and execute workshops that yield valuable results and long-lasting impact on their teams.
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As UX designers navigate complex organizational structures, they often face political issues that affect their ability to create optimal user experiences. Stakeholder management and effective communication are vital for navigating these challenges, which can include organizational hierarchy, limited user empathy, budget constraints, conflicting business goals, and resistance to change. To succeed, UX designers should build relationships, communicate clearly, align with business goals, be adaptable, advocate for users, and navigate politics skillfully. UX leadership representation is crucial for ensuring user-centered design principles are integrated into decision-making processes, fostering a design culture, and achieving long-term organizational success.
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