User Value First

User Value First

What is Core concept

Use AI only when it creates clear user value. The feature should help people do something better, faster, easier, or at larger scale — not just look impressive or “smart.” Your doc says AI should add clear value, guide users with use cases, and explain why something is recommended instead of hiding behind AI magic.

Why It Matters

AI adds cost, latency, and uncertainty. If the value is not obvious, users will not adopt it. Public AI guidance also stresses focusing on the user benefit, not the technology itself.

Risks if Ignored

• Users try it once and stop using it
• The product feels gimmicky
• Support and correction work increase
• AI cost goes up without business return
• Trust drops because users do not see why AI is there.

How to Evaluate (Checklist)

• Is the user benefit clear in one sentence?
• Does it save time, improve quality, or reduce effort?
• Would a normal non-AI feature do the job better?
• Can a new user understand the value in the first session?
• Are examples or starter prompts helping users reach value quickly?

Real Examples

• Coinbase uses AI in support, help-center search, and agent assist to reduce handling time and improve search relevance, which is a clear user and business value case.
• Tines reports faster time-to-value and much easier workflow building with AI-assisted automation, showing AI used for a clear job rather than novelty.
• In your doc, use-case prompt suggestions are a good example because they help users quickly see what the AI is useful for.

Related Patterns

• Suggested prompts
• Proactive suggestions
• Structured response formatting
• Actionable output
• Embedded assistant surface.