AI tools are rapidly changing the experience design (XD) landscape, offering assistance at every stage of the process – optimizing workflows, providing insights, and automating repetitive tasks. Here’s a breakdown of how AI is being integrated into each step of the XD process: Research and Discovery Ideation and Conceptualization Design and Prototyping Testing, Validation, and … Read more
After a talk I did on AI and UX, I met Stu Green. We had a follow up conversation about the changing role of Product Designers in the ever-evolving world of AI. Stu wrote this wonderful article that sums it up. Stu shared: “It was honestly mind-blowing to see how fast they [AI tools] could scaffold entire applications. … Read more
Currently, the software product development lifecycle sees fragmented ownership and multiple pain points. AI-driven product development lifecycle will enable faster, more customer-centric, and higher-quality innovation. As part of its broad “overhaul” of the product development process, AI will bring five fundamental changes to the software PDLC, which will profoundly impact speed, quality, value, and overall … Read more
“Artificial Intelligence shapes how we think, feel and behave. It drives the decisions that define our future. We have the responsibility to use this potential for humane technology. Building an AI based on our diverse values and needs requires thoughtful design.” – Lennart Ziburski, UX of AI Things have been developing rapidly since I posted my … Read more
In today’s competitive landscape, businesses must focus on meeting the needs of their customers to remain relevant and successful. This means shifting away from product-centric business models and adopting a more customer-centric approach. The focus on a customer-centric approach includes increased customer loyalty, improved customer satisfaction, greater customer lifetime value, and ultimately, higher revenue and … Read more
“Product” can be a physical object, software, a service, or a combination of these. “Market” can refer to target audience segments, ideal customer profiles, personas, or a combination. The “fit” is the magic. “Product-market fit means being in a good market with a product that can satisfy that market.” -Marc Andreessen, co-author of Mosaic, co-founder … Read more
Artificial intelligence (AI) is significantly enhancing the customer experience (CX) across various industries in several ways: Personalized Experiences Visual Search and Recognition: AI-powered visual search allows customers to find products using images instead of text. It enhances the shopping experience, especially in fashion and home decor industries. Augmented Reality and Virtual Reality: In retail and tourism, AI-enhanced AR and VR experiences allow customers to … Read more
Persona-driven Agile Development is a methodology that combines the human-centric focus of personas with the iterative and flexible nature of Agile methodologies. This approach helps ensure that the products being developed align closely with the needs and goals of the target customer by keeping them at the center of the development process. 1. Create Personas … Read more
Delivering a high-quality customer experience on a consistent basis converts customers into enthusiastic brand advocates – people who genuinely want to tell their friends and colleagues about the experience your products and/or services deliver. And they might even post on their social media platforms, which is incredibly strong (and essentially free) marketing – boosting levels of … Read more
I was in a meeting and got a text from my daughter that she needed help with writing a challenging correspondence. I texted her back that I would call her when it was done. When I called her back, she used a Gen AI tool to write the correspondence and was impressed with how easy … Read more
Generative Artificial Intelligence (Gen AI) refers to a class of artificial intelligence that leverages deep neural networks to generate content autonomously. AI prompts refer to the intelligent cues or suggestions provided by machine learning algorithms to guide users through a specific process or help them make informed decisions. AI prompts can go beyond reactive suggestions … Read more
Multivariate testing (MVT) is a technique for testing a hypothesis in which multiple variables are modified. The goal of multivariate testing is to determine which combination of variations performs the best out of all the possible combinations. It’s more complex than A/B testing, which tests only one variable at a time. How it Works Types of Multivariate … Read more