Prova 产出物

面向营销团队的 AI Readiness Scorecard

评估营销团队是否具备负责任 pilot AI workflow 所需的 signal、data、运营节奏和已 codify 的判断标准。

模板字段

填写示例

下面的填写示例保留英文，因为 Prova 会用英文评审提交的 artifact。

First-party conversion signals are reliable

First-party data strategy is in place

AI-native campaign types are understood and operational

Paid, owned, and earned are planned as one system

Emerging channels are considered deliberately

Primary KPIs are separated from optimization metrics

Campaign data is clean, labeled, and queryable

Planning principles and brand guides are codified for AI use

为什么不够好

Item	Campaign data is clean, labeled, and queryable
Score	2
Evidence	Google Ads and Meta naming conventions differ; LinkedIn uses old campaign taxonomy; weekly report still relies on manual spreadsheet cleanup
Gap	AI cannot compare cross-platform performance without manual reconciliation
Owner	Marketing analytics lead with paid media lead as reviewer
Next 30-day fix	Standardize naming for new campaigns and create a one-page exception log for legacy campaign data

为什么有效

Whether readiness scores are backed by evidence
Whether "we have dashboards" is being mistaken for usable operating data
Whether gaps are prerequisites or nice-to-haves
Whether the team is ready for a pilot or needs foundation repair first
Whether the next sprint should be workflow audit, measurement architecture, rollout planning, or diagnostic repair

下一步

想获得对自己版本的反馈？Prova 会先用一个简短 assessment，让 review 标准与你的角色、目标和第一批受众一致。之后你会进入适合当前工作的 sprint。

Prova 目前仅提供英文版。

提交前：请移除客户姓名、机密数字，以及任何团队不希望存入 training 或 coaching system 的信息。