Nielsen Norman Group (NN/g) warns that evaluating AI systems by a single output is misleading because AI outputs are nondeterministic, and one good result is an example, not an evaluation. The firm re…
NN/G introduces PROVE, a five-step framework for evaluating AI tools, and applies it to Google's Gemini Notebooks for drafting a weekly editorial digest. The framework assesses Problem Alignment, Risk…
Dogfooding, the practice of using one's own products internally to improve them, is often conflated with performative loyalty and has a limited usefulness for product teams, according to the Nielsen N…
UX-context design is the practice of creating context that guides AI tools to generate outputs informed by an organization's user knowledge and design standards, as AI becomes a primary consumer of re…
UX-context design is a new practice that transforms research and design deliverables into AI-readable context, ensuring AI-generated outputs reflect an organization's user knowledge and design standar…
A Nielsen Norman Group article argues that even if AI becomes capable of producing research outputs indistinguishable from human experts, human-led research remains essential because it generates lear…
A new framework from the Nielsen Norman Group identifies five essential qualities for site-specific AI chatbots: handoff willingness, flexibility, proactivity, emotional responsiveness, and transparen…
Enterprise AI adoption hinges on tailored explainability for technical roles such as developers, system administrators, and domain experts, according to a Nielsen Norman Group analysis. The article ar…