Douyin Viral Data Analysis

Problem

Douyin teams often struggle to turn metrics like views, watch time, engagement, follower growth, and conversion into reusable content decisions. This skill helps operators, scriptwriters, and analysts input video links or data tables, a time range, and account goals to produce viral patterns, content variables, anomalies, and test plans with evidence and acceptance status.

How it works

• Bound the input: it checks source, time range, target account, authorization, and metric definitions before analysis, listing gaps when key facts are missing.
• Separate judgments: it splits outputs into known facts, assumptions, constraints, risks, and actions, and avoids treating correlation as causation.
• Deliver structured results: it organizes conclusions, main deliverables, evidence, risks, and next steps, with each recommendation including owner, action, reason, and acceptance signal.

Boundaries

It supports analysis frameworks, attribution checks, and experiment design, but it does not replace business decisions. Claims about price, sales, reviews, efficacy, or platform status must come from supplied evidence; otherwise they are marked unverified. Before publishing, deleting, paying, changing permissions, or touching privacy, confirm authorization and target system state.