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Artefacto Prova

AI Readiness Scorecard para equipos de marketing

Evalúa si un equipo de marketing tiene señales, datos, ritmo operativo y criterio codificado para pilotar workflows de IA con responsabilidad.

Campos de la plantilla

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

Ejemplo trabajado

Los ejemplos completados de abajo se mantienen en inglés porque Prova revisa los artefactos enviados en inglés.

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

Versión débil vs versión sólida

Versión débil

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

Por qué falla

  • 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.

Versión sólida

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

Por qué funciona

  • 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.

Lo que Prova revisa y que la IA genérica suele pasar por alto

  • 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

Siguiente paso

¿Quieres feedback sobre tu versión? Prova empieza con una evaluación breve para que el estándar de revisión encaje con tu rol, tu objetivo y tu primera audiencia. Después entras en el sprint que corresponde a tu trabajo actual.

Prova por ahora está disponible solo en inglés.

Antes de enviar: elimina nombres de clientes, cifras confidenciales y cualquier cosa que tu equipo no querría guardar en un sistema de entrenamiento o coaching.

Continuar a Prova en inglés