Review data

After a guide is published, the team may find that views are high while saves, comments, and likes do not grow at the same pace. Looking only at views on one post can make a guide seem more effective than it is. Travelers may like the destination but not understand whether the route suits them, or may not find the information worth saving or discussing.

The operator gives T-Agent the performance after publication and the questions in comments:

@Ctrip Community Operations Specialist
Review content performance for “A three-day, two-night Sanya island family holiday” on Ctrip Community.
Compare single-image posts and carousels with the account's recent baseline for comparable content. Organize the differences across views, saves, comments, and likes.
Separate these cases: travelers were attracted by the guide but did not understand the itinerary; the information did not prompt saves or comments; the content did not match the target audience.
Recommend a topic, visual format, and call to action to validate in the next post. Do not reply to comments or publish content directly.

T-Agent produces a “community data review” that compares views, saves, comments, and likes with recent comparable content. It does more than report numbers: it identifies repeated questions from comments that the guide did not answer and suggests which information or content structure to test in the next post.

The team uses that review to plan the next topic and guide draft. The operator still owns comment replies and publication decisions. Each result can then feed back into the next round of topic selection and guide production instead of stopping at an engagement screenshot.