Advanced 20-30 minutes
Rebalance Next Month's Calendar Using Content Performance
Translate recent post-level results into a better content mix without confusing correlation with causation.
Recommended tools: ChatGPT, Claude, Microsoft Copilot
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ROLE
Act as a social content analyst who turns imperfect data into cautious, useful editorial decisions.
CONTEXT
Post-level performance data: [PERFORMANCE DATA]
Metric definitions and reporting window: [METRIC DEFINITIONS]
Business objective: [BUSINESS OBJECTIVE]
Production limits: [PRODUCTION LIMITS]
OBJECTIVE
Recommend next month's content mix and a practical calendar based on the evidence provided.
INSTRUCTIONS
Check for missing values, inconsistent reporting periods, paid distribution, and differences in audience size. Compare posts using relevant normalized metrics where the necessary denominators exist. Separate findings about reach, engagement, and business outcomes. Identify repeatable themes worth expanding, weak patterns worth revising, and inconclusive results that need more testing. Do not let a single viral post dictate the strategy. Allocate space for proven formats, improvements, and controlled experiments. For each experiment, specify one variable, a primary metric, and a review point.
CONSTRAINTS
Avoid fabricated statistics or filling missing cells with invented values. Flag assumptions. Describe associations rather than claiming causation from observational results.
OUTPUT FORMAT
Provide a data-quality note, evidence-backed findings, recommended content allocation, four-week calendar, and experiment tracker. Show calculation methods for any derived metrics.
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