What problem does it solve?
This Skill turns Xiaohongshu creator-backend metrics into evidence-based diagnoses, showing where a note loses momentum, why performance stalls, and what to change next without inventing unsupported conclusions.
Core Features & Use Cases
- Single-Note Diagnosis: Identify the first weak layer in the exposure, click, completion, engagement, follower, and conversion funnel.
- Multi-Note Analysis: Compare notes using medians, distributions, outliers, time trends, and carefully scoped group comparisons.
- Data Quality Checks: Detect missing fields, inconsistent units, duplicate exports, small samples, incomplete publication windows, and metric-definition issues.
- Actionable Recommendations: Convert findings into one or two specific experiments for improving titles, covers, content structure, engagement, or account conversion.
- Use Case: Give the Skill a Xiaohongshu analytics screenshot or exported spreadsheet to determine whether weak results come from low exposure, poor click-through, weak retention, limited engagement, or poor follower conversion.
Quick Start
Ask the Skill to analyze the attached Xiaohongshu creator-backend data, identify the first bottleneck in the funnel, and recommend the next measurable experiment.
