audit-project-usage-analysis
Audit Project Usage Analysis
Analyze tracking events of the "审计项目" (Audit Project) AE project, count user behavior, tag users, and assess module value. The deliverable is a "per-user statistics + module value assessment" report.
Customer pain points & scenarios
A customer-success / delivery team deploying an AE project to a client typically faces these questions, which this skill answers in one pass:
- Is the system actually being used, and by whom? — the per-user overview table shows, per account, how much each of analysis / engage / agent is used, with tags distinguishing deep users from passive viewers.
- Which features deliver value and which are idle? — the module value assessment tells whether the engage module (separately purchased) and the agent module (6.0+) are actually adopted, so the team can steer onboarding or upsell.
- What business data does each person care about? — the "attention-data" column maps each user's watched reports to business themes (payment / growth / data-dev / agent usage…), revealing who cares about revenue vs. retention.
- Which projects are active and who drives them? — the project-activity module ranks projects by action volume with their top members and top reports, so the team knows where to focus support.
Scenarios that trigger this skill: a customer-success manager asking "审计项目用得怎么样", or asking "谁用了哪些功能 / 按人统计使用量" after the target has been explicitly confirmed as Audit Project. If the project has not been identified, resolve or confirm it before using this skill. The output is a ready-to-share markdown (and optional Feishu XML) report.
Language note: the report output is in Chinese (the customer's business language), including labels such as 深度使用/查看者/运营任务/数据导出 and event display names. The instruction below describes the report structure in English; Chinese strings are runtime output values maintained directly in
scripts/generate_report.py, not documentation text.