Experiences: User Experiences

Qualitative user interviews are a core method of user research with which UX professionals likely feel very confident. However, when running user interviews for products that require users to interact with Generative AI (GenAI) experiences, there are some differences, so be prepared to ask certain key questions.

In this article, we’ll provide a definitive collection of qualitative interview questions that you can incorporate into your next user-research project for GenAI products. We’ve designed these questions to uncover insights at different stages of the product lifecycle, ensuring that your research remains human-centered and actionable. Maze AI’s excellent blog post on UX research interview questions categorizes these questions into three types:

1. Questions about the problem—The purpose of these questions is to understand the user’s core painpoints and goals.
2. Questions about the people—These questions let you gain insights into the users themselves, including their behaviors and preferences.
3. Questions about the product—Asking these questions lets you explore how users interact with and perceive the product your team is building. Read More

While you must create products that meet your business goals, you must also ensure that your products address users’ needs. Ascertaining whether a product works for users requires gathering their feedback. Listening to users’ viewpoints helps you better understand their experiences, ultimately providing you an opportunity to take corrective actions to meet their expectations.

Research by Syncly indicates that 40% of the 300 software-as-a-service (SaaS) companies they studied were collecting user feedback. These businesses have implemented user-feedback systems to shape their product experiences.

User feedback can help teams create meaningful, easy-to-use designs for Web apps, mobile apps, Web sites, and SaaS products. However, before endeavoring to make gathering user feedback a core part of your product-development process, you should learn about the three major types of user feedback and methods and tools for collecting that data. Read More

The sky over Los Angeles glowed orange as thick smoke rolled through the city. Sirens blared, helicopters circled, and streets emptied as residents scrambled to evacuate. Amidst the chaos, digital tools became a lifeline. Apps such as Watch Duty tracked the wildfires’ progression, air-quality monitors warned of toxic conditions, and cars’ navigation systems helped determine escape routes. But even with this wealth of information, confusion reigned.

I found myself—and everyone around me—cycling between multiple apps, cross-referencing sources, and second-guessing decisions. Some updates contradicted each other. Evacuation notices often arrived too late. Road-closure data lagged behind real-world conditions. This experience underscored a harsh truth: even in the digital age, user experiences for crisis-response remain deeply flawed. Read More