home / skills / nickcrew / claude-cortex / requirements-discovery
This skill guides you through structured requirements elicitation, turning vague ideas into concrete PRDs, scope, and testable acceptance criteria.
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---
name: requirements-discovery
description: Stakeholder interviews, PRD structure, and scope definition for software requirements elicitation. Use when gathering requirements, defining project scope, or structuring product requirement documents.
---
# Requirements Discovery
Systematic requirements elicitation through structured questioning, stakeholder analysis, and specification development. Transforms ambiguous project ideas into concrete, measurable specifications.
## When to Use This Skill
- Gathering requirements for a new project or feature from vague descriptions
- Conducting stakeholder interviews to uncover needs and constraints
- Writing or structuring a Product Requirements Document (PRD)
- Defining project scope with clear boundaries and priorities
- Creating user stories with well-defined acceptance criteria
- Identifying non-functional requirements (performance, security, scalability)
- Resolving conflicting stakeholder priorities
- Validating requirement completeness before handing off to implementation
## Quick Reference
| Task | Load reference |
| --- | --- |
| Interview patterns, PRD structure, scope definition, user story mapping | `skills/requirements-discovery/references/elicitation-techniques.md` |
## Core Principles
- **Ask "why" before "how"**: Uncover true user needs, not assumed solutions
- **Socratic questioning**: Guide discovery through questions rather than assumptions
- **Progressive refinement**: Move from broad goals to specific, testable criteria
- **Stakeholder balance**: Integrate diverse perspectives without letting any single voice dominate
## Workflow
### 1. Discovery
Understand the problem space before defining solutions.
- Identify all stakeholders and their roles
- Conduct structured interviews with open and closed questions
- Map user personas and their pain points
- Capture constraints (technical, budget, timeline, regulatory)
### 2. Specification
Transform raw input into structured requirements.
- Draft PRD with functional and non-functional requirements
- Write user stories with acceptance criteria
- Prioritize using MoSCoW or similar framework
- Define scope boundaries (what is explicitly out of scope)
### 3. Validation
Verify completeness and alignment before implementation.
- Review specifications with stakeholders
- Confirm acceptance criteria are testable and measurable
- Baseline success metrics and KPIs
- Log open questions and follow-up actions
- Prepare implementation handoff document
## Common Mistakes
- Jumping to solutions before understanding the problem
- Treating requirements as fixed rather than iteratively refined
- Missing non-functional requirements (performance, security, accessibility)
- Failing to define what is out of scope
- Writing acceptance criteria that cannot be objectively tested
- Skipping validation with actual users or stakeholders
This skill provides a structured approach to eliciting, documenting, and validating software requirements. It turns vague ideas and stakeholder input into measurable product requirements and scoped PRDs. The goal is to reduce ambiguity, align stakeholders, and produce testable acceptance criteria for implementation.
I guide discovery through stakeholder identification, structured interviews, and persona mapping to surface real needs and constraints. Then I convert findings into a prioritized PRD, user stories with acceptance criteria, and explicit in/out-of-scope definitions. Finally, I run validation steps to confirm completeness, baseline success metrics, and prepare a handoff package for engineering.
How do you handle conflicting stakeholder requests?
I surface the underlying goals, map impacts, and apply a prioritization framework (e.g., MoSCoW) while documenting trade-offs and recommended decisions for alignment.
What makes acceptance criteria 'testable'?
Acceptance criteria are testable when they use measurable conditions (specific inputs, expected outputs, thresholds) and avoid vague language like 'fast' or 'user-friendly' without quantifiers.