HARSHIL PATEL’s Post

As Generative AI technology accelerated our way to consume new information, design systems has becoming more crucial for organizations to convey consistent brand languages for their digital products and offering services across multiple channels and platforms. Successful implementations of design system require cross-functional collaboration more than just design and development team effort. One key factor to foster this collaboration is to incorporate data measurements to help inform transparent and cross-team aligned design decisions throughout the design process. During my time at Sam’s Club, where I collaborated within a cross-functional team to optimize their internal tool development effort by 50% by revamping existing mobile app through modern design system integration. Here is how we approached to achieve our metrics: 📌 Shared Understanding: Ground teams discussions in data to set up a common language and objective baseline and development of shared ownership that align project priorities and move beyond based on customer needs, business goals, and technical constraints. 📌 Stakeholder Alignment: Leverage data-driven insights, designers can communicate with stakeholders with justifying design decisions backed up by data to help facilitate the technical implementation of the design system, ensuring stakeholders alignments with broader customer buy-in. 📌 Iterative Refinement: Leveraging usage metrics, user feedback, and analytics, cross-functional teams can collaborate to identify areas for design improvements by performing data-informed adjustments, fostering a collaborative culture to continuously maintain and evolve the design system. 📌 Prioritization and Trade-offs: With limited resources and competing priorities, teams must make trade-offs. Data-informed decision-making helps teams to objectively evaluate the impact and importance of different component features and design elements, which empower them to prioritize roadmap planning more effectively. To sum up, embracing data-driven approach can help organizations foster an collaborative environment where designers, engineers, product managers, and stakeholders can work closely together to shape a cohesive design language through the development of the customer-centric design system. #DesignThinking #DataDrivenDesign #CrossFunctionalTeams #DesignSystems #Collaboration #UserExperience #ProductDesign

#AI product design: Identifying skills gaps and how to close them

AI is revolutionizing the design industry, enhancing productivity by automating tasks to empower designers to create exceptional user experiences. The integration of AI is set to augment work, not replace designers, ushering in a new era of productivity. Exciting advancements like the Figma Config 2024 with AI model, Auto layout, renaming, and more are shaping the future of design. #AI #Design #Productivity #FigmaConfig2024

You now have your personal Design J.A.R.V.I.S. As the design industry continues to evolve, I recently came across the game-changing potential of Galileo AI and this is how I envision it changing the existing design scene. 🔍 Design Generalists vs. Product Designers: I foresee a shift where design generalists will become increasingly valuable compared to traditional product designers. With AI, most UIs are beginning to resemble their competitors, making the role of designers at decision-making levels more critical than ever before. 🤖 Enter Galileo AI: Galileo AI is poised to revolutionize the design process, just as Midjourney has sped up graphic design workflows. By leveraging AI to mimic existing design standards, Galileo AI not only accelerates the design process but also frees up designers to focus on higher-level decision-making tasks. Thus providing lower TAT for your designs. 💡 Embracing Change: Rather than fearing AI as a threat to traditional design roles, we should embrace it as a tool that enhances our capabilities. Designers will transition from mere executors to strategic thinkers, guiding AI-generated designs and ensuring they align with broader business objectives and user needs, which obviously is the need of the hour in the industry. Let's spark a conversation around the future of design in the age of AI and collaborate on shaping the next chapter of our industry's evolution. #DesignGeneralists #ProductDesign #GalileoAI #Embyness

📰 This week's #Precipex Paper of the Week showcases another incredible example of how AI can amplify human productivity and creativity. Discover how AI can be seamlessly integrated into the conceptual design process to create novel yet functional automobile wheels in a human-centered way. 🚗 In their paper "INSPIRED BY AI? A NOVEL GENERATIVE AI SYSTEM TO ASSIST CONCEPTUAL AUTOMOTIVE DESIGN", Ye Wang, Nicole Damen, Thomas Gale, Hooman Shayani from Autodesk and VOHO SEO from Hyundai Motor Company (현대자동차) detail their process of designing and implementing a prototype system to incorporate generative AI into design workflows. 🤝 While Precipex specializes in web design and development, this paper resonated deeply with us. The authors guide us through user surveys, UX workshops, and functional prototyping, offering valuable insights into design thinking along the way. Whatever your industry, if you value well-executed user experience research with a focus on creative design, this paper is a must-read! 💭 One fascinating takeaway is that designers view AI more as a tool for inspiration than execution. In contrast, developers often see AI assistants as a means to automate routine coding tasks. The notion of AI as a helpful "junior assistant" resonates across both disciplines! 🎨 Want to explore how AI can inspire the design process? Read our detailed review and see why we're excited about this advancement at https://precipex.com/potw . You can also jump straight to the original paper here: https://lnkd.in/gJ3AvhvN If you find our reviews useful, be sure to like, share, and follow #Precipex so you don't miss a single #POTW. 👉 Our "Paper of the Week" is selected automatically from the latest papers on arxiv.org. This week, our AI Director Sophia Turing (herself an AI) reviewed over 700 papers, ranking each for Novelty, Relevance, Impact, Methodological Rigor, and Practical Application to bring you her favorite. 👈

AI product design: Identifying skills gaps and how to close them

AI product design: Identifying skills gaps and how to close them

www.presse-board.de The Four Best AI Design Software and Tools for Product Designers in 2024 - https://lnkd.in/eW2tvDEw - Product design is a dynamic field with an ever-evolving concept, especially with the introduction of AI and generative AI being one of the most transformative focuses in reshaping the product design landscape. The force behind creativity is the product designers who play an essential role in merging technology and design solutions to bring out advancements in products we interact with every day. The AI tools and software help product designers test different design iterations allowing them to focus on collaborating with cross-functional teams and solving complex design challenges. These tools are built on advanced technology tools that integrate the intelligence […] - Presseportal: Presse-Board.de

Formulaic product design is on its way out. The tech industry is experiencing a huge shift, driven by economic pressures and AI advancements. Companies are now laser-focused on achieving higher output, higher efficiency, and larger margins. This combination of factors is driving a transformation of what is demanded from individual tech contributors. For example, in engineering roles, where large language models (LLMs) have dramatically boosted productivity through code generation, the role is shifting towards supervising and refining AI-generated code. While product design might eventually benefit from AI-generated artifacts, the influence of AI will manifest differently. Design systems have long streamlined the creation of tactical design in corporate environments, so the effort of producing artifacts has been relatively low for a few years already. The AI transformation in product design would likely come from designers orchestrating and refining AI-generated insights to drive innovation. Companies will now demand autonomous, creative individuals that can deliver winning end-to-end user experiences and maintain long-term systemic coherence. Being a product designer would be more akin to being an art director, but focusing on addressing abstract business and technical challenges with effective design solutions. The best designers already do this, but AI will dramatically accelerate this shift by increasing the demand for true T-shaped designers.