Product Requirement
Defines the functional and non-functional characteristics a product must meet to deliver customer value and achieve business goals.
Classification
- ComplexityMedium
- Impact areaBusiness
- Decision typeDesign
- Organizational maturityIntermediate
Technical context
Principles & goals
Use cases & scenarios
Compromises
- Over-specification blocks adaptability.
- Missing traceability complicates changes and accountability.
- Unclear acceptance criteria lead to acceptance conflicts.
- Clear, testable acceptance criteria for each requirement.
- Regular alignment between product, UX and engineering.
- Traceability from goals to implementation artifacts.
I/O & resources
- Market and user research
- Stakeholder goals and business requirements
- Technical feasibility assessments
- Formulated requirements with acceptance criteria
- Prioritized backlog items
- Traceability between goals and requirements
Description
Product requirements specify the functional and non-functional needs a product must satisfy to deliver value to users and stakeholders. They act as a communication artifact between product management, design and engineering, guiding prioritization and implementation while balancing scope, quality and schedule. They also help validate assumptions and acceptance criteria.
✔Benefits
- Clarity about desired behavior and success criteria.
- Improved alignment between product, UX and engineering.
- Reduced misdevelopment and earlier validation of assumptions.
✖Limitations
- Can lead to rigid specification if overly detailed.
- Requires discipline and stakeholder engagement.
- Not all requirements can be fully specified upfront.
Trade-offs
Metrics
- Requirement lead time
Time from requirement formulation to delivery.
- Acceptance rate
Share of implemented requirements meeting acceptance criteria.
- Post-release defects
Number of defects attributable to unclear or missing requirements.
Examples & implementations
PRD for mobile checkout
Case of an e-commerce team combining performance and security criteria in checkout requirements.
Requirements for GDPR compliance
Regulatory requirements translated into non-functional requirements and tested.
MVP scoping in 2 weeks
Rapid prioritization resulted in a focused requirements set and fast time-to-market.
Implementation steps
Conduct stakeholder interviews and capture goals.
Prioritize user needs and define core assumptions.
Formulate requirements and add acceptance criteria.
Iterative validation via prototypes and tests.
⚠️ Technical debt & bottlenecks
Technical debt
- Unclear requirements lead to temporary quick fixes.
- Missing traceability complicates later refactoring.
- Unconsidered scalability requirements generate rework.
Known bottlenecks
Misuse examples
- Detailed PRD prevents rapid experimentation.
- Requirements without acceptance criteria lead to misunderstandings.
- Ignoring stakeholder feedback and implementing requirements rigidly.
Typical traps
- Locking technical solutions too early instead of focusing on requirements.
- Insufficient measurability of non-functional requirements.
- Loss of priority due to too many equally ranked requirements.
Required skills
Architectural drivers
Constraints
- • Existing architecture limits and legacy systems
- • Regulatory requirements and data protection
- • Limited engineering capacity and budget