User and Workflow Research

Definition

User and Workflow Research

User and workflow research studies how people actually complete tasks, make decisions, recover from exceptions and coordinate handoffs in context. In AI product work it maps where information is missing, where judgment is required, where automation could help and where model errors would interrupt trust, safety or accountability.

Why It Matters

User and workflow research studies actual tasks, handoffs, exceptions, information needs and workarounds. AI should fit or deliberately reshape a real workflow.

Jobs to be done describe the progress a user seeks rather than starting from a feature. This helps distinguish the underlying need from a preferred implementation.

Failure mode

The recurring risk is treating this concept as a label rather than an engineering decision with trade-offs, evidence needs and operational consequences.

Evaluation check

Ask what observable evidence would show that this concept has been applied well in a real system, repository or learning exercise.

Related Concepts

• Problem framing and stakeholder analysis
• Accessibility and inclusive design

Further study: Erika Hall, Just Enough Research, and Indi Young, Mental Models.