This study investigates user satisfaction with the Kakobuy shopping agent service through data collection and analysis in spreadsheets. Using a survey-based approach, we identify key factors affecting customer satisfaction and propose targeted strategies to enhance service quality and overall user experience.
A comprehensive questionnaire was distributed to active Kakobuy users, focusing on:
All responses were systematically organized in Google Spreadsheets with the following columns:
| User ID | Satisfaction Score (1-5) | Service Aspect | User Comments |
|---|
Using the Kano model, we classified user needs into categories:
Must-be: Basic agent service requirements
One-dimensional: Features proportional to satisfaction
Attractive: Unexpected elements that delight users
Implement automated order status updates and estimated processing timelines in the purchasing workflow.
Create dedicated communication channels for order updates and implement AI chatbot for common inquiries with human escalation path.
Redesign user dashboard in Kakobuy platform integrating:
Real-time tracking | Satisfaction feedback mechanisms | Visual timeline of order progress
The proposed strategies are prioritized based on impact vs. implementation effort analysis from the data below:
High Impact | Process Automation | Vendor Rating System
Medium Impact | Chatbot | Dashboard Update
Low Impact | New Packaging | Loyalty Program
Next Steps:
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