AI Requirements Analyzer
classify and prioritize requirements automatically
Automatically categorize requirements as functional or non-functional. Context-aware analysis with industry-specific compliance, domain gap detection, and team-size scalability requirements.
Project Context
Provide context about your product to receive tailored analysis with domain-specific gap detection and compliance requirements.
Enables domain-specific gap detection
Tailors compliance and security requirements
Influences scalability requirements
Adapts output format to workflow
Helps identify user-specific requirements
What are Functional and Non-Functional Requirements?
Functional requirements define what a system should do—specific behaviors, features, and functions like “users can log in with email” or “system generates PDF reports.” Non-functional requirements define how a system should perform—quality attributes like performance, security, scalability, and usability.
Our AI Requirements Analyzer automatically categorizes requirements into functional vs non-functional, identifies missing quality attributes, and prioritizes using the MoSCoW method (Must have, Should have, Could have, Won't have). By providing product context—like industry (FinTech, Healthcare), product type (SaaS, Mobile), and team size—you receive tailored analysis with compliance-specific gap detection.
Teams use requirement analyzers during discovery, planning, and sprint planning to ensure complete coverage of both functional features and non-functional quality attributes like performance, security, and reliability.
Analyze requirements in 3 simple steps
Input Requirements
Paste requirements list, upload from Jira/CSV, or describe verbally. AI understands natural language requirement descriptions.
AI Classifies & Prioritizes
Automatically categorizes as functional/non-functional, assigns MoSCoW priority, identifies gaps, and flags ambiguous requirements.
Export & Track
Export to Jira, CSV, JSON, or Excel. Visualize in priority matrix. Track coverage of functional vs non-functional requirements.
Smart requirement analysis features
Auto-Classification
AI automatically categorizes requirements as functional (features, behaviors) or non-functional (performance, security, usability).
MoSCoW Prioritization
Assigns Must have, Should have, Could have, Won't have priority to each requirement based on business value and dependencies.
Gap Detection
Identifies missing non-functional requirements like security, performance, scalability, and suggests additions.
Ambiguity Detection
Flags vague requirements like “fast performance” or “secure system” and suggests specific, measurable criteria.
Coverage Analysis
Visualize requirement coverage: functional vs non-functional ratio, priority distribution, and category breakdown.
Multi-Format Export
Export to Jira-compatible CSV, JSON for APIs, Excel spreadsheets, or Markdown for documentation.
Common questions about requirement analysis
What's the difference between functional and non-functional requirements?
Functional requirements describe what the system does—features, behaviors, and capabilities like user authentication, data processing, or report generation. Non-functional requirements describe how the system performs—quality attributes like response time under 200ms, 99.9% uptime, supporting 10,000 concurrent users, or GDPR compliance. Both are critical: functional requirements deliver features, non-functional requirements ensure the system is fast, secure, scalable, and reliable.
Why use MoSCoW prioritization?
MoSCoW helps teams focus on what matters most when resources are limited. Must-haves are critical for launch (the product is unusable without them). Should-haves are important but not blocking (can ship without them, but user experience suffers). Could-haves are nice additions that add polish. Won't-haves are explicitly out of scope to prevent scope creep. This framework forces hard prioritization decisions early, preventing over-commitment and ensuring MVPs actually ship on time.
How do I write good non-functional requirements?
Non-functional requirements must be specific and measurable. Instead of “fast”, write “API response time p95 under 200ms”. Instead of “scalable”, write “Support 50,000 concurrent users with 3-second page load”. Instead of “secure”, write “Encrypt all data at rest using AES-256 and in transit using TLS 1.3”. Our analyzer flags vague language and suggests specific alternatives based on industry standards and your product type.
What non-functional requirements are most commonly missed?
Teams often forget: monitoring and observability (logging, metrics, tracing), error handling and recovery (what happens when things fail), accessibility requirements (WCAG compliance, screen reader support), internationalization (multi-language, time zones, currencies), compliance (GDPR, HIPAA, SOC 2), disaster recovery (backup frequency, RTO/RPO targets), and operational requirements (deployment process, rollback strategy). Our gap detection automatically identifies missing categories and suggests requirements based on your product type.
How do functional and non-functional requirements relate to user stories?
User stories capture functional requirements in the format “As a [user], I want [feature], so that [benefit]”. Non-functional requirements become acceptance criteria or constraints on those stories. For example, the story “As a user, I want to upload images” might have non-functional criteria: “Upload completes in under 3 seconds for images up to 10MB” (performance), “Supports JPEG, PNG, WebP formats” (compatibility), “Scans for malware before storage” (security). This ensures stories are both functional and production-ready.
When should requirements be analyzed and prioritized?
Analyze requirements during the discovery phase before committing to build anything. Re-prioritize before each sprint or release cycle as business priorities shift. Use the analyzer when stakeholders dump a large list of requests to quickly categorize and prioritize. Also use it during architecture reviews to ensure non-functional requirements (performance, security, scalability) are addressed in the technical design. Regular analysis prevents building the wrong things and ensures quality attributes aren't overlooked.
Frequently asked questions
Voice-to-Requirements Pipeline
WhisperCode listens to your stakeholder meetings and automatically categorizes functional vs non-functional requirements in real-time. Perfect for discovery sessions and requirement gathering.
Automate Requirements Gathering →