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Artefak Prova

AI Readiness Scorecard untuk Tim Marketing

Nilai apakah tim marketing sudah punya sinyal, data, ritme operasi, dan judgment yang terdokumentasi untuk menjalankan pilot workflow AI secara bertanggung jawab.

Kolom template

  • Readiness item
  • What 4+ looks like
  • Current score from 1-5
  • Evidence
  • Gap
  • Owner
  • Next 30-day fix

Contoh terisi

Contoh yang sudah terisi di bawah ini tetap memakai bahasa Inggris karena Prova meninjau artifact yang dikirim dalam bahasa Inggris.

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

Versi lemah vs versi kuat

Versi lemah

ItemData is clean
Score4
EvidenceWe have dashboards
GapSome naming issues
OwnerAnalytics
Next fixImprove tracking

Mengapa gagal

  • 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.

Versi kuat

ItemCampaign data is clean, labeled, and queryable
Score2
EvidenceGoogle Ads and Meta naming conventions differ; LinkedIn uses old campaign taxonomy; weekly report still relies on manual spreadsheet cleanup
GapAI cannot compare cross-platform performance without manual reconciliation
OwnerMarketing analytics lead with paid media lead as reviewer
Next 30-day fixStandardize naming for new campaigns and create a one-page exception log for legacy campaign data

Mengapa berhasil

  • 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.

Hal yang ditinjau Prova dan sering dilewatkan AI generik

  • 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

Langkah berikutnya

Butuh feedback atas versimu? Prova mulai dengan assessment singkat agar standar review sesuai dengan peran, tujuan, dan audiens pertamamu. Setelah itu kamu masuk ke sprint yang cocok dengan pekerjaanmu sekarang.

Prova saat ini hanya tersedia dalam bahasa Inggris.

Sebelum mengirim: hapus nama klien, angka rahasia, dan hal apa pun yang tidak boleh tersimpan di sistem training atau coaching.

Lanjut ke Prova dalam bahasa Inggris