What it means
Defined stages (inputs → generate → review → export) often spanning people, systems, and multiple model calls with clear deliverables.
Why designers should care
Workflow UX needs progress, ownership, saved state, and templates. Chat alone rarely carries a team from kickoff to shipped artifact.
Example
A research sprint workflow moves from plan → interview guide → synthesis → readout, with checklist status and links to the right prompt at each stage.
Common mistakes
- Forcing long processes into one chat thread with no milestones.
- No save/resume when inference or human review pauses overnight.
- Workflows that differ by team but share one confusing generic UI.
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Frequently asked questions
What is Workflow?
An AI workflow is a multi-step process that combines prompts, tools, human review, and structured handoffs to reach an outcome, not a single chat reply.
Why should designers care about Workflow?
Workflow UX needs progress, ownership, saved state, and templates. Chat alone rarely carries a team from kickoff to shipped artifact.
What are common mistakes with Workflow?
Forcing long processes into one chat thread with no milestones; No save/resume when inference or human review pauses overnight; Workflows that differ by team but share one confusing generic UI.