A Framework for Quantifying Perceived Product Quality

Why It Matters

Understanding and prioritizing how users perceive product quality is crucial for design success. This research offers a method to systematically evaluate these perceptions, enabling designers to make more informed decisions about trade-offs between design effort, time, and cost.

Key Finding

The research introduces a framework and a ranking method that allow for a more systematic and improved evaluation of perceived product quality, aiding in achieving a balance between quality, design effort, time, and cost.

Key Findings

• A structured framework (PQF) can effectively categorize perceived quality attributes.
• A ranking method (PQAIR) can determine the relative importance of these attributes.
• Perceived quality evaluation can be enhanced throughout the product development lifecycle.

Research Evidence

Aim: How can perceived quality attributes be systematically assessed and ranked to inform product development and achieve a balanced perceived quality?

Method: Qualitative exploratory study and empirical structural validity test

Procedure: Developed the Perceived Quality Framework (PQF) as a taxonomy of perceived quality attributes and the Perceived Quality Attributes Importance Ranking (PQAIR) method. Tested the method's usability and rigor through an empirical study.

Context: Automotive industry (premium and luxury manufacturers in Europe and North America)

Design Principle

Perceived quality is a multi-faceted construct that can be systematically analyzed and managed through a structured framework and attribute ranking.

How to Apply

Utilize the Perceived Quality Framework (PQF) to brainstorm and categorize potential quality attributes for a new product. Employ a ranking method, similar to PQAIR, to determine the relative importance of these attributes based on user research or expert opinion.

Limitations

The study was conducted within the automotive industry, and its direct applicability to other sectors may require adaptation. The ranking method's effectiveness might vary based on the specific product and user group.

Student Guide (IB Design Technology)

Simple Explanation: This study shows that you can break down how people feel about a product's quality into smaller parts and then figure out which parts are most important to users. This helps make better products.

Why This Matters: Understanding perceived quality helps you design products that users will genuinely value and find successful, rather than just focusing on technical specifications.

Critical Thinking: How might the 'premium' and 'luxury' context of the automotive study influence the identified quality attributes and their ranking, and how might these findings differ for mass-market products?

IA-Ready Paragraph: The research by Stylidis, Wickman, and Söderberg (2019) provides a valuable framework for understanding and managing perceived product quality. Their work introduces the Perceived Quality Framework (PQF) and the Perceived Quality Attributes Importance Ranking (PQAIR) method, which systematically breaks down quality into constituent attributes and ranks their relative importance. This approach allows for a more balanced design by considering user perception alongside design effort, time, and cost, ultimately leading to more successful product development.

Project Tips

• When defining your product's quality, think about all the different ways users might perceive it (e.g., how it looks, feels, performs, or its brand reputation).
• Develop a way to ask users or experts to rank these quality aspects to understand priorities.

How to Use in IA

• Reference this paper when discussing how you identified and prioritized user needs and product features related to quality perception.

Examiner Tips

• Demonstrate an understanding of perceived quality beyond basic functionality, showing how you've considered user perception in your design choices.

Independent Variable: Perceived quality attributes

Dependent Variable: Relative importance ranking of perceived quality attributes

Controlled Variables: Product type (automotive), Market segment (premium/luxury)

Strengths

• Provides a novel framework and method for perceived quality assessment.
• Empirically tested for validity and usability.

Critical Questions

• To what extent are the identified perceived quality attributes universal across different product categories?
• How can the PQAIR method be adapted for quantitative user studies with larger sample sizes?

Extended Essay Application

• An Extended Essay could explore the application of the PQF and PQAIR method to a different product domain, investigating if the attribute hierarchy and importance rankings differ significantly.

Source

Perceived quality of products: a framework and attributes ranking method · Journal of Engineering Design · 2019 · 10.1080/09544828.2019.1669769