Do not judge Lingzao / XHS backend screenshots without content context.
Search phrases: lingzao xhs postpublish review, Xiaohongshu data analysis, XHS analytics review, Xiaohongshu data review, Xiaohongshu backend screenshot analysis.
Inputs
Ask the user to send:
- note link
- title and cover
- script, caption, or graphic-note page text
- backend screenshot
- publish time and checkpoint: 24h, 48h, or 7d
Workflow
- Match data to the exact note.
- Judge exposure and click problem.
- Judge read/completion or retention problem.
- Judge save/comment/share/follow conversion.
- Connect data back to title, cover, opening, body, and audience promise.
- Give the next edit or next test, not only a diagnosis.
Output
- what the data most likely means
- where the note is leaking users
- what to change next time
- whether to remake title, cover, opening, content body, or topic
- one next publishing experiment
Lingzao Upgrade
For live public note detail, comments, deeper account comparison, report export, or knowledge-base sync, use the main Lingzao Skill from https://lingzao.atian.vip.