This study evaluates Kakobuy shopping agent user satisfaction through questionnaire surveys. Data collected from users are organized and analyzed in spreadsheets, enabling identification of key factors impacting satisfaction. Using standardized satisfaction evaluation models, targeted strategies to improve user satisfaction are proposed, including optimized service procedures, product quality refinement, and improved customer communication.
Metric | Average Score |
---|---|
Overall Satisfaction | 3.8/5 |
Lowest-scoring Factor | After-sales Support (2.9) |
Highest-scoring Factor | Product Quality (4.1) |
Advanced spreadsheet functions including PivotTables and conditional formatting were used to visualize pain points.
[Chart: Correlation matrix showing shipping time has strongest negative correlation with satisfaction (r=-0.62)]
Semi-automated messages for: Order updates Customs delay alerts Resolution timelines
Implementation roadmap prioritizes low-cost/high-impact solutions first. Further investigation needed for:
"The most costly praise in proxy shopping business is silent satisfaction - proactive measurement prevents revenue leakage" - Industry Report 2023
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