Travel Product & Supply Analytics
A three-part travel marketplace case connecting content quality, experiment design, and weekly product operations.
THE DECISION
Which property-content gaps should be fixed first, how should impact be tested, and what should the operating cadence monitor?
APPROACH
- Designed a four-dimension Content Quality Score
- Ranked the backlog with RICE and business-impact proxies
- Built funnel SQL, power analysis, and a randomized A/B readout
- Automated a weekly operations report with anomaly flags
EVIDENCE & DELIVERABLES
- 23,233 public Bangkok listings assessed
- 11,480-listing prioritized content backlog
- Dashboard package, experiment readout, and weekly brief
SELECTED WORK FILES
HTML
Travel Funnel Dashboard
Browser-ready conversion funnel and experiment dashboard built from synthetic clickstream data.
5 KBEVIDENCE INTEGRITY
This case is presented as public listings + synthetic clickstream · proxy and simulated impact. The label distinguishes observed work from simulated impact, proxies, historical comparisons, or proposed architecture.