Food Product Launch Retrospective Report

Problem

Post-launch reviews for food products often depend on tribal knowledge: order volume estimates differ by analyst, channel split is guessed, and monthly GMV targets are broken down without a shared baseline. This skill standardizes the retrospective workflow for Cao Mu Li / Changqing Youxuan food products. Given core fields such as product name, specs, unit price, and monthly GMV target, it produces a consistent retrospective report with a unified format and data logic.

How it works

The skill applies several operational rules:

• Order price checks: uses mainstream large sessions, evening rotation, and morning market livestreams to estimate order bands for ¥10-50, ¥50-100, and ¥100+ price ranges.
• Channel mix: defaults to 80% livestream and 20% organic store in the first month, then shifts to 50% / 50% in later months.
• Scheduling assumptions: treats ordinary food mainline and functional product rotation as roughly 1 session/month, while morning market livestreams may run multiple times per month.
• GMV benchmarking: maps results against thresholds such as ≥150k strong, 100k-150k good, and 75k-100k pass, helping judge whether the target is realistic.

During generation, the skill parses required inputs, fills optional fields with defaults where missing, and outputs a structured Word report.

Boundaries

This is best suited to food operations with stable livestream cadence and clear price bands. It should not be treated as a generic sales forecasting system. If the product is outside the Cao Mu Li or Changqing Youxuan system, or involves complex promotions, cross-channel subsidies, or non-food categories, the channel mix and volume rules should be recalibrated. The source also leaves the needs improvement GMV band incomplete, so thresholds should be completed before formal use.