Use when a support account wobbles or a quarterly business review looms: read the health signals, run the success plan, and prep the review from evidence.
中文简介正在准备中。当前显示原文说明。
Measure funnel conversion with explicit eligibility, event order, windows, identity rules, drop-off checks, and segment evidence.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use this when the steps form a real ordered path. Do not force unrelated events into a funnel.
For every step record the exact event, eligible population, entity key, required order, conversion window, timezone, deduplication rule, and whether repeat attempts count. State whether the funnel is closed to one starting cohort or open to all events in a period.
Check missing steps, events out of order, duplicate events, client and server disagreement, identity changes, late arrival, version changes, and bot or test traffic rules supplied by the owner. Reconcile starts with an independent source when available.
For each step show entrants, completions, step conversion, overall conversion, drop count, and time to next step. Keep denominators visible. Show both account and user grain only if each has a defined business meaning.
Break down the largest drop by approved segments, then report sample size and whether the segment explains the total change or only has a low rate. A segment with a sharp fall and little volume may not drive the business result.
Link supplied releases, errors, price changes, or channel shifts by time and segment. Label them hypotheses unless a valid test supports cause. Give one instrumentation or product check that could disprove each leading explanation.
Never change the window, order, or exclusion rule after seeing the result without saying so. Do not hide tracking gaps, double count repeat events, or expose individual paths. Do not claim a product change caused conversion to move from a before-and-after comparison alone.
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Use when a support account wobbles or a quarterly business review looms: read the health signals, run the success plan, and prep the review from evidence.
中文简介正在准备中。当前显示原文说明。
Reconcile accounts by comparing GL balances to subledgers, bank statements, or third-party data. Use when performing bank reconciliations, GL-to-subledger recs, intercompany reconciliations, or identifying and categorizing reconciling items.
中文简介正在准备中。当前显示原文说明。
Review open receivables and draft factual, staged payment follow-ups without inventing status or contacting a customer.
中文简介正在准备中。当前显示原文说明。
Write ad variants that each test one idea, within platform limits and supported claims.
中文简介正在准备中。当前显示原文说明。
Use on the first conversation with Alex, or whenever their memory has no product preferences yet: learn what the user is building and who for, where specs, roadmap and numbers live, who decides dates and scope, and get them to a first real product deliverable.
中文简介正在准备中。当前显示原文说明。
Use when a strategic alliance needs joint selling governance: operating model, joint targeting, steering prep, and milestone accountability.
中文简介正在准备中。当前显示原文说明。