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Prova 산출물
마케팅 팀을 위한 AI Readiness Scorecard
마케팅 팀이 책임 있게 AI workflow를 pilot할 수 있는 signal, data, 운영 리듬, codified judgment를 갖췄는지 평가합니다.
템플릿 항목
- Readiness item
- What 4+ looks like
- Current score from 1-5
- Evidence
- Gap
- Owner
- Next 30-day fix
작성 예시
아래 작성 예시는 영어로 유지합니다. Prova가 제출된 artifact를 영어로 검토하기 때문입니다.
An in-house growth team preparing to pilot AI-supported reporting and campaign recommendations.
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
약한 버전 vs 강한 버전
약한 버전
| Item | Data is clean |
|---|---|
| Score | 4 |
| Evidence | We have dashboards |
| Gap | Some naming issues |
| Owner | Analytics |
| Next fix | Improve tracking |
왜 부족한가
- The score is unsupported.
- Dashboards do not prove the data is queryable or trustworthy.
- "Some naming issues" hides the operational impact.
- The owner is a department, not a person or role.
- "Improve tracking" is not a 30-day fix.
강한 버전
| 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 |
왜 작동하는가
- Evidence is concrete.
- The score is honest.
- The gap explains why AI output would fail.
- Ownership is specific.
- The next fix is narrow enough to complete.
일반 AI가 자주 놓치는 부분을 Prova가 검토합니다
- 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
다음 단계
내 버전에 대한 피드백이 필요하다면 Prova는 짧은 assessment로 시작합니다. 역할, 목표, 첫 audience에 맞춰 review standard를 맞춘 뒤 현재 작업에 맞는 sprint로 이동합니다.
Prova는 현재 영어로만 제공됩니다.
제출 전에는 고객명, 기밀 숫자, 팀이 training이나 coaching system에 저장되길 원하지 않는 정보를 제거하세요.
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