Operations

Technical Request Ticketing

Convert project requests into structured, trackable technology tickets

Overview Capabilites Agent Workflow Example prompt

Overview

The Technical Request Ticketing agent converts technical requests from stakeholders into properly formatted, complete engineering tickets with clear requirements, acceptance criteria, and context needed for development teams to begin work immediately. Product managers and stakeholders often submit requests lacking technical detail, while engineers need specific information to estimate effort and implement solutions. This agent bridges that gap by analyzing requests, asking clarifying questions, and generating well-structured tickets with user stories, technical requirements, acceptance criteria, and relevant context. Engineering teams using elvex receive higher-quality tickets that reduce back-and-forth and accelerate development cycles.

Capabilities

Convert informal requests into structured engineering tickets with complete information
Generate user stories with clear acceptance criteria and technical requirements
Identify missing information and suggest clarifying questions
Estimate complexity and recommend appropriate ticket labels and priority
Link related tickets and dependencies for context

Agent Workflow

Input: User provides technical request or feature description in any format
Requirement Extraction: Agent identifies core requirements and desired outcomes
Gap Analysis: Determines missing information needed for complete ticket
Ticket Generation: Creates structured ticket with user story, requirements, and acceptance criteria
Enhancement: Adds technical context, edge cases, and implementation considerations
Output: Delivers complete ticket ready for engineering review and estimation

Example prompt

"Convert this request from our sales team into a properly formatted Jira ticket: 'We need a way for customers to export their data to CSV. Several enterprise prospects have asked for this and it's blocking deals. Should be available from the main dashboard.' Create a complete ticket including: user story from customer perspective, detailed functional requirements (what data, what format, where accessed, any filters or customization options), technical requirements and considerations (data volume limits, async processing needs, security/permissions), acceptance criteria that QA can test against, edge cases to consider (empty datasets, very large exports, special characters in data), and recommended priority/labels. Also flag any missing information we should clarify with the sales team before starting development."