燃气灶用户感知评价数据

在竞争激烈的燃气灶市场中，厨具行业生产企业需要不断地满足甚至超越用户的期望，以保持其竞争优势，对用户感知度进行评价显得尤为重要。燃气灶用户感知评价数据模型作为一种有效的工具，能够帮助厨具行业生产企业量化客户感知度，识别关键影响因素，并制定针对性的策略。1、数据收集：对燃气灶用户进行在线调查，收集并清洗用户对洗碗机打火便捷度、火力满意度、清洁容易程度、放锅的稳定性、火力调节便利性五个维度的评分和产品的NPS；
2、运用加权平均法计算产品感知质量指数：感知质量指数=35%*打火便捷度+20%*火力满意度+20%*清洁容易程度+20%*放锅的稳定性+5%*火力调节便利性；
3、计算用户感知评价：用户感知评价=（感知质量指数+产品NPS）/2；
4、数据应用：用户感知评价<65%，判定为表现较差；65%≤单型号用户感知评价≤75%，判定为表现一般；76%≤单型号用户感知评价≤85%，判定为表现良好；单型号用户感知评价>85%，判定为表现优秀。

In the fiercely competitive gas stove market, kitchenware manufacturing enterprises need to continuously meet and even exceed user expectations to maintain their competitive edge, making the evaluation of user perception particularly critical. The gas stove user perception evaluation data model, as an effective tool, can help kitchenware manufacturers quantify customer perception, identify key influencing factors, and formulate targeted strategies.

1. Data Collection: Conduct online surveys among gas stove users, collect and clean the scores of users across five dimensions: ignition convenience, firepower satisfaction, ease of cleaning, pot placement stability, and firepower adjustment convenience, as well as the product's Net Promoter Score (NPS).

2. Calculate the Product Perceived Quality Index using the weighted average method:
Perceived Quality Index = 35% × Ignition Convenience + 20% × Firepower Satisfaction + 20% × Ease of Cleaning + 20% × Pot Placement Stability + 5% × Firepower Adjustment Convenience

3. Calculate the User Perception Evaluation:
User Perception Evaluation = (Perceived Quality Index + Product NPS) / 2

4. Data Application: Classify the performance of individual product models based on the user perception evaluation score:
- Poor performance: User Perception Evaluation < 65%
- Fair performance: 65% ≤ User Perception Evaluation of a single model ≤ 75%
- Good performance: 76% ≤ User Perception Evaluation of a single model ≤ 85%
- Excellent performance: User Perception Evaluation of a single model > 85%

搜集汇总

数据集介绍

特点

燃气灶用户感知评价数据集包含916条记录，涵盖用户对燃气灶多个维度的评分和感知评价，主要用于量化客户感知度和制定策略。数据每年更新一次，适用于厨具行业生产企业。