df:verify-work

Conversational UAT validates features by running structured, one-objective-at-a-time testing sessions. It maintains persistent state across steps to track progress and automatically diagnose gaps when built features do not meet user objectives.

State tracking during user acceptance testing is maintained through persistent context across each validation session. This ensures repeatable, auditable results by keeping testing aligned with roadmap objectives and devflow state throughout the entire process.

Issue diagnosis automatically detects gaps during feature validation and prepares execution-ready tasks for planning fixes. It proposes corrective actions to reduce feedback loops and rework when features fail to meet intended user scenarios.

Conversational testing supports integration with devflow state, roadmaps, and UAT templates. This workflow integration keeps testing aligned with objectives and ensures repeatable, auditable results across end-to-end validation sessions.

Structured user acceptance testing is needed when verifying that built features behave as intended under real-user scenarios. It reduces feedback loops and rework by applying one-objective-at-a-time testing with persistent state tracking.

Conversational testing for end-to-end validation relies on persistent context and structured UAT templates to function effectively. Without proper session management and devflow state integration, maintaining repeatable and auditable results across complex validation scenarios becomes difficult.