Output Evaluation Rubric and the Critique Loop

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1Content Strategy as a Decision System and the Portfolio Artifacts You Will Build 2Business Goal Translation Into a KPI Tree Skeleton 3ICP Snapshot With Assumptions, Triggers, Objections, and Moments That Matter 4Positioning Against Real Alternatives and the Proof Required to Believe It 5Messaging Framework Draft: Narrative, Pillars, Reasons-to-Believe, and Objection Handling 6Specificity Tests That Turn Generic Messaging Into Testable Claims

7Search Intent Categories and the Page That Satisfies Them 8Content Pillars That Mirror ICP Jobs and Message Pillars 9Topic Clusters and Query-to-Page Purpose Statements 10Internal Linking Logic for Pillars, Clusters, and Next Steps 11E-E-A-T as a Proof Plan for Each Pillar and Cluster

12Strategist’s Mental Model: Pattern Generator, Not a Source of Truth 13Hallucination Controls: Failure Modes and Mitigation Moves

14Output Evaluation Rubric and the Critique Loop

15Traceability: Prompt Audit and Claim Labeling for Strategy Work 16Tool Selection and the Tool Decision Record

17Research Ingestion to Claim Log: From Notes to Verifiable Statements 18ICP Draft-and-Validate Loop Using Assumptions and Evidence 19Messaging Variants by Segment or Stage With Rubric-Based Evaluation 20A Standard Content Brief That Produces Decision-Grade Drafts 21SERP-Informed Outlining Inputs as an Intent and Quality Method 22Repurposing One Source Asset Into a Consistent Multi-Format Set

23Lightweight Editorial Workflow With Stage Gates and Definitions of Done 24Brand Voice Guide: Rules, Lexicon, Taboo List, and Annotated Examples 25Content QA Checklist: Verification, Links, Claim Labels, and Review Points 26Capacity-Based 4–8 Week Calendar With Owners, Dependencies, and Distribution Notes 27Repurposing and Distribution Cadence Tied to Next-Step CTAs 28Performance and Qualitative Feedback Loops Into Briefs and Messaging Updates

29Finalize the KPI Tree: Primary vs. Leading Indicators and Decision Use 30A Measurement Plan: Definitions, Data Sources, Cadence, and Ownership 31Dashboard Outline: Views, Interpretation, and Action Triggers 32Experimentation for Content: Hypotheses, Primary Metrics, and Learning Logs 33Governance for AI-Assisted Content: Privacy, Data Handling, and Approved Uses 34IP Risk Awareness, Disclosure Norms, Bias Checks, and the Final Portfolio Assembly

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Output Evaluation Rubric and the Critique Loop