Artificial Intelligence (AI) & Machine Learning (ML)

The AI feature checklist: 21 questions addressing familiarity, fallbacks, and feedback

Lorian Leong, a principal product management consultant at EQT Partners AB, shares a quick checklist to guide the development process of AI feature.

December 30, 2024

3 min read

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Lorian Leong

Lorian is a product professional and independent researcher immersed in Stockholm’s tech scene, with expertise spanning lifestyle and entertainment technology, internet and consumer tech, B2B/B2C hardware, and internal tools. This diverse experience allows her to bring a nuanced perspective to each project. As the cofounder and former organiser of ProductTank Oslo, she has also played a pivotal role in fostering a community of product professionals and driving conversations about innovation and best practices in product development. Passionate about the intersection of technology and society, she conducts research exploring how technology shapes everyday life, with a special focus on internet and mobile phone studies. Her published work highlights her commitment to understanding the broader impact of our digital interactions.

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Designing AI features that users trust and confidently engage with means paying close attention to the right principles at every stage. Based on the article How to build AI products that users trust: 3 core focus areas to stay user-centric, use this quick checklist to guide your development process and make sure your AI remains user-centred, reliable, and grounded in real-world needs. The questions are grouped into three core focus areas: Familiarity, Fallbacks, and Feedback Loops—each a crucial element for building trustworthy AI products.

Ask yourself:

Creating successful AI products hinges on a deep understanding of the problem you’re solving and the underlying needs and concerns of your users. This approach should guide every stage of development, from crafting prompts to building the infrastructure that supports functionality, and ultimately to designing the user-facing interfaces. By following this checklist, you can stay anchored to the essentials, sidestep common pitfalls, and ensure your AI products are not only effective at addressing real-world problems but also inspire trust and confidence.

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