Content update prioritization

Purpose

Create an evidence-based queue for updating existing content, making trade-offs between audience value, risk, effort, dependencies, and business importance visible.

Scope

The skill covers inventory, staleness, evidence risk, performance, effort, dependencies, action type, and priority rationale.

Excluded: editing the content, changing metrics, and assuming that low traffic alone justifies retirement.

Data basis

• Content inventory and performance data in scope.
• Business priorities, freshness rules, product facts and team capacity supplied or in scope.

Result

A prioritized update queue and decision brief.

Quality criteria

• Every item has cited evidence for urgency, value and effort.
• Priority criteria are explicit and reproducible.
• Update, expand, merge, monitor and retire are distinct actions.
• Uncertain items are separated from high-confidence priorities.

Instructions

Use the company's rules for freshness and risk. Consider audience usefulness, product change and evidence decay together. Keep measured facts beside qualitative judgments. Do not fabricate scores; show formulas or label qualitative ratings.

Adapt before use

• Map inventory, performance, date, owner and effort fields.
• Define freshness, risk, priority and retirement rules.
• Add business priorities, capacity and product-change sources.
• Keep source facts, analysis, recommendations, and unresolved questions visibly separate.
• Preserve stable document, section, page, sentence, URL, or row identifiers in every finding.
• Record assumptions about audience, channel, period, approval status, and data coverage.
• Treat missing guidance as an adaptation gap rather than inventing a company rule.
• Prefer a precise, bounded recommendation over a broad generic rewrite.
• Use supplied terminology consistently across the document, sheet, and any derivative copy.
• Do not infer performance, customer behavior, product capability, or market response from wording alone.
• Make every unresolved issue actionable by naming the missing decision, evidence, owner, or source.
• Keep factual claims traceable even when the final copy is concise.
• Recheck that counts, names, dates, and identifiers match across all outputs.
• Mark hypotheses as hypotheses and preserve competing explanations when evidence is mixed.
• Use the stated acceptance criteria as the final completeness check.