Vansah AI evaluates content differently depending on the feature being used, but the process always relies on structured review of Jira work items or provided documents.
1. Generating Test Cases from Jira Work Items
Vansah AI reviews mandatory fields such as the issue summary, description, labels, and components.
Additional fields can be configured as defaults to guide the evaluation.
Based on this metadata, Vansah AI generates relevant Test Cases aligned to the context of the work item.
2. Generating Jira User Stories from Documents (Requirements Generator)
Vansah AI analyzes the documents you provide (e.g., business requirements, specifications).
It extracts key details and transforms them into structured Jira user stories with acceptance criteria.
This ensures requirements are not only captured but also linked back to testing and traceability.
By combining metadata-driven evaluation with document analysis, Vansah AI bridges the gap between requirements and testing, helping teams move faster while maintaining quality.