Douyin Ops Analyst
Paste the following prompt into your AI chat to install this skill:
Please install @user_8d36cde0/guoyiyi-laogong-douyin-ops-analyst into your AI assistant using https://skillhub.cn/install/skillhub.md.
About this skill
Problem to Solve
A common gap in Douyin operations analysis is relying on dashboard totals without connecting content performance, product performance, and actual transactions. Without cross-table joins, high traffic, clicks, or low refunds can be misread as profit signals, and it is hard to decide which actions deserve priority.## How It Works
The skill diagnoses account performance as an evidence chain: it confirms the time range, account, products, metric definitions, and permitted external writes, then checks for missing pages or async loading limits. Core steps include building join keys across videos, live rooms, products, and transactions; calculating traffic, clicks, conversion, average order value, commission, and refund metrics; and segmenting by product, content type, account, and time. Output separates facts, inferences, and hypotheses, then ranks product selection, scripts, publishing, and live actions, with next-cycle experiments and review metrics.## Usage Boundaries
It does not claim profit diagnosis without transaction details. Every ratio must include a denominator. Correlation is not presented as causation. Account or product join failures must be listed explicitly. Unverified parts are marked as completed, degraded, or unverified.
Use Cases
- Operations reviews monthly data by linking videos, live rooms, products, and transactions to find drop causes.
- E-commerce ops segments products, content types, and time before selecting which SKUs deserve more investment.
- Growth analysts verify conversion, AOV, commission, and refund denominators in weekly reports to avoid misreading totals.
- Live ops separates facts, inferences, and hypotheses before scheduling the next experiment and review metrics.
Best For
- Douyin store operators who need evidence-based diagnosis across content, products, and transactions.
- E-commerce data analysts who need to check missing data, ratio denominators, and join failures.
- Live operations leads who need to prioritize product selection, scripts, and live actions before scheduling.
- Growth leads who need to convert review findings into next-cycle experiments and metrics.
Related Skills
A bot hiring marketplace for AI agents with job postings, applications, task completion, and $WAGE rewards.
A pre-visit customer portrait tool for Tencent Cloud sales, producing ten-step analysis, scoring, and pitch scripts.
Fetch weekly or monthly corporate sentiment data, then analyze tone, trends, and risks.
A coaching workflow for one-person businesses, side projects, and freelancers covering resource audits, niche validation, business modeling, and ongoing operations.