The Importance of Non-Functional Requirements in Product Management

Non-functional requirements (NFRs) such as performance, security, and usability are crucial for ensuring that a product meets the broader expectations and needs of its users, beyond just its features.

Example

For Amazon's e-commerce platform, non-functional requirements like website loading speed, data security, and user-friendly design are essential for maintaining customer satisfaction and trust, ultimately contributing to the site's success.

Why It Matters

This artifact helps teams create shared understanding before work moves forward. When it is clear, current, and easy to use, it reduces rework, improves alignment, and makes product decisions easier to communicate across design, engineering, and business stakeholders.

Where It Creates Value

Artifacts like this are most useful at the point where teams need to move from discussion into coordinated execution. They create value when they help engineering, design, QA, and business stakeholders work from the same understanding of scope, quality, and success.

How Product Managers Use It

1. Define the audience for the artifact and the specific decision or workflow it should support.
2. Capture the information that must be explicit, such as goals, assumptions, scope, acceptance criteria, or open questions.
3. Keep the document lightweight enough that the team can update it as new learning appears.
4. Use it in real planning and delivery conversations so it stays useful instead of becoming shelfware.

Best Practices

• Favor clarity and relevance over length.
• Make ownership explicit so someone is accountable for keeping it current.
• Link the artifact to the product goal, user problem, or release it supports.
• Review and refine it whenever priorities or constraints change.

Common Mistakes to Avoid

• Writing a detailed artifact that no one actually uses in decision-making.
• Keeping the language too vague for the team to act on confidently.
• Treating the document as finished even after the underlying assumptions change.

Questions to Ask

• Who needs this artifact and what decision should it support?
• What information must be explicit for the next step of work?
• What assumptions or open questions still need clarification?
• When should we revisit and update it?

Signs It Is Working

This artifact is working when downstream teams ask fewer clarifying questions, handoffs become smoother, and fewer late surprises appear because expectations were already made explicit.