Product Management 11 min read

Data-Driven Product Design: Ctrip Hotel and Homestay Case Studies

This article explores how Ctrip integrates data analysis with product design, presenting two detailed case studies— the evolution of the homestay channel and the optimization of the Guesthouse app order detail page— to illustrate the role of data, user research, and A/B testing in driving user‑centered product improvements.

Ctrip Technology
Ctrip Technology
Ctrip Technology
Data-Driven Product Design: Ctrip Hotel and Homestay Case Studies

Data and Design Relationship – The article begins by discussing the ongoing debate around "data‑driven design" versus "data‑guided design" and emphasizes the need for a balanced approach where data and user experience inform each other.

Product Design's Data View – It introduces the concept of a "data view" for designers, outlining principles such as using data throughout the design process, recognizing data as a human‑created artifact, aligning data collection with business goals, and continuously monitoring and iterating based on data insights.

Ctrip's Data System – Ctrip has built a comprehensive data ecosystem that includes tools like the UIP user insight platform, page click plugins, A/B testing frameworks, and a custom KPI portal, all of which support data‑informed decision making across product lifecycles.

Case 1: Ctrip Homestay Channel Evolution – The homestay channel was launched to meet market trends, but early data showed low conversion rates compared to standard hotels. User research identified distinct user needs, leading to redesigns of the homepage, list page, and detail page. A/B tests revealed mixed results initially, but subsequent iterations improved conversion rates by up to 26%.

Case 2: Guesthouse App Order Detail Optimization – The Guesthouse app’s order detail page originally required excessive scrolling. Data showed low modification rates and high time spent per view. By reorganizing information into four concise modules and hiding low‑frequency actions, the redesign reduced average modification time from 11 seconds to 4 seconds and increased page views by over 30%.

Conclusion: Data Must Serve People – The article concludes that while data permeates the entire design process, it cannot replace human‑centered design. Combining quantitative data with qualitative user research leads to better product decisions, aligning business goals with superior user experiences.

case studyA/B testingproduct-managementUser ResearchCtripdata-driven design
Ctrip Technology
Written by

Ctrip Technology

Official Ctrip Technology account, sharing and discussing growth.

0 followers
Reader feedback

How this landed with the community

login Sign in to like

Rate this article

Was this worth your time?

Sign in to rate
Discussion

0 Comments

Thoughtful readers leave field notes, pushback, and hard-won operational detail here.