What approach helps you assess how well each design attribute meets customer requirements?

The correct approach for assessing how well each design attribute meets customer requirements is through the use of a Selection Matrix. This method allows for a systematic evaluation of multiple design attributes against the specific needs and preferences of customers.

In a Selection Matrix, each design attribute is compared based on defined criteria, typically including customer requirements, importance, and feasibility. This structured approach aids decision-makers in prioritizing which attributes to focus on, ensuring that resources are allocated efficiently to meet customer demands effectively. By visualizing the relationships between design alternatives and customer needs, teams can make more informed decisions that align closely with what customers value most.

The other options, while useful in different contexts, do not specifically address the assessment of design attributes against customer requirements in the same structured and comparative manner. For instance, PDPC (Process Decision Program Chart) is more focused on identifying potential problems and outlining contingency plans rather than prioritizing design features based on customer needs. Multivoting is a technique used for narrowing down options through group consensus rather than evaluating how well each attribute meets specific requirements. Therefore, the Selection Matrix is the most appropriate tool for this kind of assessment.