Product Management 7 min read

Establishing a User Experience Evaluation Model Based on User Scenarios

This article explains how to build a user‑experience evaluation model within a quality‑competitiveness framework by defining scenario‑driven metrics, detailed evaluation points, appropriate testing methods, and quantitative scoring to comprehensively assess product experience quality.

Baidu Intelligent Testing
Baidu Intelligent Testing
Baidu Intelligent Testing
Establishing a User Experience Evaluation Model Based on User Scenarios

This issue introduces the concept of constructing a user‑experience (UX) evaluation model within a quality‑competitiveness framework, emphasizing that a scenario‑based approach helps organize evaluation points for a comprehensive and systematic assessment.

UX is defined as the subjective feeling users develop while using a product; for a clearly defined user group, common UX characteristics can be identified through well‑designed experiments.

A good UX is fundamental to product success—only by satisfying users can a product achieve lasting revenue and loyalty. During product testing, both usability and desirability (how pleasant and useful the product is) must be considered.

Step 1: Determine evaluation indicators and detailed points. Using user scenarios (e.g., an online movie‑ticket reservation system), the article outlines how to extract relevant metrics.

The example breaks down the user journey into online operations (searching, selecting, purchasing, sharing) and offline operations (ticket collection and viewing).

Step 2: Define evaluation indicators. Indicators include efficiency, learnability, usability, attractiveness, completeness, security, fault tolerance, and pleasure, with effectiveness noted as an essential baseline metric.

Step 3: Identify detailed evaluation points. For each scenario and indicator, concrete check‑points are specified to guide evaluators.

Step 4: Clarify evaluation methods for each indicator. Common methods range from usability testing to objective metrics such as search accuracy, recall, payment success rate, and conversion or retention rates derived from market feedback.

Step 5: Quantify the results. Importance and weight are assigned to each indicator based on target user groups, then scoring standards are applied to produce overall and dimensional scores, mirroring the quantification approach of the broader quality‑competitiveness model.

The article concludes that the described steps complete the scenario‑based UX evaluation model, with future installments planned to detail operational and basic quality dimensions.

user experienceproduct qualityevaluation modelScenario-based TestingUX Metrics
Baidu Intelligent Testing
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