Types of Requirements

Requirements are organized in layers, from why the product exists down to what it must do and how well.

	Business	Functional	Non-Functional
Asks	Why does this product exist?	What must the system do?	How well must it perform?
Focus	Outcomes and goals	Measurable behaviors	Qualities and constraints
AEB example	Reduce pedestrian fatalities through collision avoidance	Brake within 200ms of detecting a pedestrian	Meet ASIL D safety and operate in rain, fog, low light
Written by	Product or business stakeholders	Systems engineers	Systems and domain engineers

Business Requirements

Business requirements address the “why” behind a product and stay design-agnostic. For an autonomous emergency braking (AEB) system, a business requirement might read, “Reduce pedestrian fatalities in urban driving by providing automatic collision avoidance.” That defines the outcome without prescribing how the system should work.

Functional Requirements

Functional requirements translate business needs into measurable behaviors. For the same AEB system, a functional requirement might state, “The system shall initiate full braking force within 200 milliseconds of detecting a pedestrian in the vehicle’s forward path.” That’s testable, unambiguous, and traceable back to the business requirement above.

Non-Functional Requirements

Non-functional requirements define how well the system performs rather than what it does, covering qualities like reliability, safety, and maintainability. Continuing the AEB example, a non-functional requirement might state, “The system shall meet ISO 26262 ASIL D functional safety requirements and operate reliably at speeds between 10 and 60 km/h in rain, fog, and low-light conditions.”

The Four Stages of Requirements Management

The requirements management process is often mapped to the V-model, though in practice it’s less of a strict sequence and more of a map showing how stages relate to each other. Teams move back and forth as their understanding of the product matures.

1. Requirements Elicitation

Elicitation captures raw inputs like stakeholder needs, regulatory constraints, use cases, and hazard analyses. One common mistake at this stage is recording a preferred solution as a need, which limits options when tradeoffs come up later.

2. Requirements Definition and Documentation

Once elicited, requirements need to be written in a verifiable format. INCOSE (the International Council on Systems Engineering) teaches the “shall” statement structure, where a subject, active verb, object, and qualifier form a testable statement. For example, “The autonomous taxi shall permit the passenger doors to open upon arriving at the destination.”

3. System Verification

Verification asks whether the team built the system right. Does the implementation match the specification? Most teams verify through testing, analysis, demonstration, or inspection. If any of those methods reveal a gap, the requirement or the implementation needs to be reconciled before moving forward.

4. System Validation

Validation asks the opposite: whether the team built the right system. When validation fails, the root cause is usually a missing need or a bad assumption from elicitation, which is why teams circle back to earlier stages even late in development.

Requirements Traceability

Teams also need a way to track how each requirement connects to the designs, tests, and risk controls built around it. Requirements traceability is the ability to follow a requirement in both forward and backward directions, from origin through deployment and refinement. Without traceability, teams struggle to confirm coverage, assess change impact, or produce the audit artifacts regulated programs require.

What is a Requirements Traceability Matrix (RTM)?

A requirements traceability matrix (RTM) maps how stakeholder needs, system requirements, design elements, and verification activities connect to each other. Each row links a requirement to its parent need, the design elements that address it, the test cases that verify it, and the results of those tests.

Teams generate RTMs for audits and milestones, but the real day-to-day value is knowing what’s affected when something changes. If a stakeholder need shifts, the RTM shows exactly which requirements, designs, and tests need to be reviewed.

Building Bidirectional Traceability

Bidirectional traceability means every requirement traces forward to its implementation and verification, and every test case traces backward to the requirement it satisfies. Without the backward link, passing tests don’t actually prove the right requirement was verified.

How to Manage Requirements Changes

Traceability shows what’s connected. Change control keeps those connections accurate. After baseline, every change needs a controlled process. Without it, teams ship mismatched versions of requirements, tests, and risk controls. In practice, that control breaks down into two areas:

• Change control workflows: A typical workflow moves through change request initiation, routing, impact assessment, and formal approval with electronic signatures. The workflow matters less than the evidence trail it leaves, since auditors want to see who approved a change, when, and what was reviewed.
• Impact analysis and version control: A change to one requirement can ripple through downstream test cases, risk assessments, and supplier interfaces. Effective traceability makes that chain visible before the change is approved. For example, if a braking-distance requirement changes from 40 meters to 35 meters, that change affects the linked hazard analysis, the FMEA (Failure Mode and Effects Analysis) severity rating for brake failure, and every test case that validated the original threshold. Formal baselines create fixed snapshots at key milestones and support both engineering decisions and regulatory evidence.

Without these controls, small changes pile up into mismatched artifacts that only show up during integration or audit.

Common Requirements Management Challenges

Requirements problems at scale rarely come from one bad “shall” statement. They grow out of volume and coupling, where too many stakeholders, interfaces, and dependencies overwhelm the tools teams are using to manage them:

• Last-minute feedback and decision rehashing: When stakeholders can’t review requirements in a structured way, feedback arrives late and reopens decisions that downstream teams already acted on. Purpose-built tools address this with formal review workflows that assign roles, collect signatures, and track status.
• The hidden cost of change: Every modification to a requirement triggers updates across connected artifacts, and tracking those changes in Word documents creates a time tax that compounds as the product grows. It shows up as missed links, mismatched versions, and test suites that no longer match current requirements.
• Document-centric approaches breaking down: Word and Excel work for small teams with a handful of requirements and no regulatory pressure. They break down when nobody can maintain traceability across thousands of requirements, hundreds of test cases, and dozens of risk items.

Moving to a dedicated tool solves the traceability and version control problems, but the tool only works if the underlying requirements practices are solid.

Requirements Management Best Practices

The teams that handle requirements management well as projects grow tend to do three things consistently.

Write Clear, Testable Requirements

INCOSE describes well-written requirements as unambiguous, complete, feasible, verifiable, and conforming. The EARS (Easy Approach to Requirements Syntax) methodology is one way to enforce clarity, especially for requirements that read like intent statements but don’t map to a verification method:

• Ubiquitous pattern: “The mobile phone shall have a mass of less than XX grams.” This applies when the requirement is always active.
• Event-driven pattern: “When the user selects caller count, the software shall display a count of participants.” This applies when a trigger initiates the response.

Explicit triggers and responses leave less room for argument during verification planning.

Engage Stakeholders Early and Often

INCOSE recommends planning who you’ll talk to, what you need from them, and where the handoffs between teams happen. That prevents the common problem where interface requirements only surface after subsystem teams have already started design.

Structure Requirements for Reusability

Product line engineering requires reusable requirements. INCOSE describes approaches including cloning, referencing with a maintained link, and modular configuration. Purpose-built tools can maintain live links between source and derivative requirements, making it easier to track differences and propagate updates.

How to Choose a Requirements Management Tool

When you pick a tool matters as much as what’s on the feature list. Traceability complexity grows fast, and migrations introduce gaps when teams switch after baselining.

Features to Look For

In regulated development, a requirements management tool needs to produce clean proof of what you did and why, so you should look for these capabilities:

• Bidirectional traceability: End-to-end trace from stakeholder needs through test results, with automated orphan detection (flagging requirements with no linked test or design element).
• Compliance workflows: Electronic signatures, approval routing, and auditable history.
• Integration: Sync with Jira, Azure DevOps, ReqIF (a standard interchange format for requirements data), and an open API.
• Change control: Formal baselines, comparison, and impact analysis across relationships.
• Scalability: The platform should handle growing requirements volume and team size without degrading performance. Enterprise programs add thousands of requirements over time, and a tool that slows down or forces workarounds at scale creates the same gaps it was meant to prevent.

When a tool is weak in any of these areas, the work shifts into spreadsheets and traceability gaps pile up.

Integration with Existing Workflows

INCOSE warns against selecting a tool in isolation or prioritizing lowest cost over fit. Teams running Agile alongside formal baselines should look for bidirectional sync with tools like Jira so developers can keep working in their preferred environment while the trace chain remains intact.

Getting Requirements Management Right

The biggest risk in requirements management is quiet drift, where small gaps between requirements, tests, and risk controls build up over time and show up during integration, audits, or late-stage validation. The teams that avoid this invest in traceability early, enforce change control at baseline, and use tooling designed for that level of complexity.

Jama Connect^®, a requirements management platform for regulated product development, supports this workflow. When a requirement changes, Live Traceability™ automatically identifies each linked design element, test case, and risk control. Traceability Information Models (TIMs) define expected relationships so missing links surface early for review. The platform is also built to scale with enterprise programs as requirements volume and team size grow. Jama Connect Interchange™ provides bidirectional sync with Jira, so Agile teams stay connected to the trace chain without leaving their preferred workflow.

Start your free 30-day trial to see how Jama Connect connects requirements to designs, tests, and risk controls in one place.

Frequently Asked Questions About Requirements Management

What is a requirements management plan?

A requirements management plan defines how an organization will identify, document, trace, and control requirements throughout the product lifecycle. It covers roles, tools, approval workflows, and how changes get evaluated.

Who owns the requirements management process?

Ownership is usually shared. Systems engineering owns definition and verification planning, while quality and regulatory teams own governance, review rules, and audit readiness.

What is the difference between verification and validation?

Verification checks whether the system was built right, meaning the implementation matches the specification. Validation checks whether the right system was built, meaning the product actually does what users need in its real-world environment.

How does requirements management reduce project risk?

It catches ambiguity before it becomes a design conflict and controls change so teams aren’t building to outdated baselines. In regulated programs, it also reduces audit risk by providing clear traceability between requirements, implementation, and verification.