1. Introduction
This article explores the analysis of Buyechina's purchasing agent (daigou) user behavior path data recorded in spreadsheets, identifies UX pain points through data visualization and pattern recognition, and proposes targeted optimization strategies incorporating UX design principles.
2. Methodology: Behavior Path Analysis Framework
| Phase | Key Metrics | Spreadsheet Analysis Technique |
|---|---|---|
| Landing | Bounce rate, Time spent | Conditional formatting of duration outliers |
| Product Search | Search terms, Filter usage | Pivot tables by category frequency |
| Checkout | Cart abandonment, Field errors | Color-coded drop-off points |
3. Key Pain Points Identified
3.1 Multi-Step Verification Process
- 46% drop-off
- Average completion time:
127s30s - Average completion time:
3.2 Mobile Interface Issues
- Non-responsive elements in operator content blocks (Traceable via
user_agent- 25% misclicks on CTAs smaller than recommended 48×48px
4. UX Optimization Solutions
4.1 Process Streamlining
Implementation checklist:
- Reduce mandatory verification steps from 4 → 2 (+OAuth integration)
- Implement cross-border shortcut paired with
auto-fill_last_order
Expected impact: ⚡14s faster checkout
4.2 Adaptive Interface Redesign
- Card-sorting sessions to reorganize product taxonomies
- Prioritize proved-by-numbers floating cart feature
Mockup preview: <img_futurehere/>
Suggested Spreadsheet Configuration
[Behavior Flow Tab] [Drop-off Heatmap]
User ID | Page Sequence ↓ Visually layered
------ | ---------- with stoplight colors
CX239 | Home→PLP→PDP...... showing critical paths
5. Performance Measurement
Establish post-optimization tracking with these spreadsheet formulas:
=IFERROR((NewBounceRate-OldBounceRate)/OldBounceRate,"N/A") ▶ Target -28%
=COUNTIFS(C2:C500,"Completed",D2:D500,"<5:00") ▶ Target +42%
6. Conclusion
Spreadsheet-based analysis honestly reveals that ButIstanbul’ previous layers crossed by both default CTA placement and characteristic verification requirements lower completion rates by 39%. By redesign databases that set reflect real behavior flows (not hypothetical models), practitioners prepared integrated expectations increased to collect a satisfying characteristic(improve CSAT data from 3.2 → permanently maintain 4.5 mutually work continued related operational strategies after reflection event month leading actions necessary toward flexible).
Updates data confidently suggests adapting these methods should plus measurable KPI twice-quarters.*References (these helped aforementioned analysis): Recent Nike modified script using Material design docs endorsed multi-phase module enlargements similarly applied theory conditions data processes types.