requirements-consultant

Requirements Consultant

Partner-level requirements discovery and clarification. This skill routes to the requirements-consultant agent for structured analysis.

When to Use

• Requirements are vague or one-liner descriptions
• Starting a new feature, epic, or project
• Unclear scope, hidden assumptions, or missing acceptance criteria
• Need to break an epic into implementable user stories
• Feasibility analysis required (build vs. buy vs. partner)
• Stakeholder needs conflict or are undefined

Discovery Protocol

The agent follows a structured six-phase protocol:

Phase 1: Why — Business Objective

• What business outcome does this serve?
• How will success be measured?
• Who are the stakeholders and their priorities?

Phase 2: What — Feature Scope

• User personas and their goals
• Core use cases (must-have) vs. enhancements (nice-to-have)
• System boundaries — what is IN scope and OUT of scope

Phase 3: Hidden Requirements

• Edge cases and error states
• Accessibility and i18n considerations
• Performance and scalability expectations
• Security and compliance requirements
• Data migration or backward compatibility needs

Phase 4: Assumptions

• Technology constraints within the stack (Rails, React Native, Vite SPA, Next.js)
• Third-party dependencies and API availability
• Data availability and quality assumptions
• Timeline and resource assumptions

Phase 5: Architecture Proposal

• Tech stack alignment and component selection
• Service boundaries and data flow
• Integration points with existing systems
• Spike stories for unknowns

Phase 6: Delivery Plan

• Phased user stories: MVP → Enhancements → Polish
• Complexity ratings (S/M/L/XL) per story
• Risk and dependency map
• Sprint-ready acceptance criteria

Output Artifacts

1. User Stories — As a [persona], I want [action] so that [benefit]
2. Acceptance Criteria — Given/When/Then format per story
3. Complexity Ratings — S (1-2 pts), M (3-5 pts), L (8 pts), XL (13+ pts, consider splitting)
4. Risk Register — Risk, likelihood, impact, mitigation
5. Spike Stories — Timeboxed research tasks for unknowns
6. Dependency Map — Blocking and blocked-by relationships

Quality Checklist

• Every user story has acceptance criteria
• No story exceeds 13 points — split XL stories
• Spike stories identified for all technical unknowns
• Edge cases explicitly addressed (not deferred)
• Non-functional requirements captured (performance, security, a11y, i18n)
• Dependencies between stories mapped
• MVP scope is clearly separated from enhancements

Keywords

requirements, user stories, acceptance criteria, scope, feasibility, epic breakdown, PRD, BRD, stakeholder, discovery, spike, estimation, MVP