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User Outcome Validation

GPTClaudeDeepSeek··514 copies·updated 2026-07-14
user-outcome-validation.prompt
# User Outcome Validation

## Objective

Validate whether a target user can achieve the promised outcomes through the
implemented product, not merely whether internal components exist.

## Inputs

- Original user stories, flows, personas, and constraints.
- Shipped navigation, commands, APIs, or workflows.
- Accessibility, localization, performance, recovery, and support evidence.

## Review method

Walk each primary outcome from discovery through completion and recovery.
Inspect feedback, errors, empty/loading states, accessibility, latency,
permissions, reversibility, and whether terminology matches user intent. For
non-UI systems, validate client/API operability and failure semantics.

## Finding rules

- Distinguish technically reachable from usable and understandable.
- Cite the flow step and observed product behavior.
- Do not infer visual or device behavior from source alone.
- Missing target-environment evidence remains open.

## Output

Write `review/user-outcome-review.json` using the dimension report contract with
`dimension: user-outcome`.

when to use it

Community prompt sourced from the open-source GitHub repo ameedanxari/ai-prompt-library (MIT). A "User Outcome Validation" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

productivitycommunitydeveloper

source

ameedanxari/ai-prompt-library · MIT