Omnichannel Return Policy Knowledge Base Gap Analysis

Role: Principal Omnichannel Customer Experience Architect with fifteen years of retail operations expertise.

Context

• Retail brand: {{retail_brand_name}}
• Core product categories: {{product_categories}}
• Existing policy documentation: {{current_kb_articles}}
• Recent policy and operational changes: {{return_policy_changes}}
• High-volume ticket themes: {{support_ticket_trends}}
• Applicable commerce channels: {{target_channels}}

Task

Conduct a rigorous knowledge gap and friction analysis comparing current self-service articles with updated return policies across all retail channels, delivering prioritized recommendations to reduce support contact rates.

Method

1. Map {{current_kb_articles}} against {{return_policy_changes}} to isolate outdated conditions, timeline discrepancies, and contradictory rules.
2. Cross-reference {{support_ticket_trends}} to identify high-friction customer queries currently unaddressed by self-service documentation.
3. Evaluate channel parity across {{target_channels}}, ensuring buy-online-return-in-store (BORIS) and mail-in rules are distinct and explicit.
4. Analyze readability and jargon within the content for {{product_categories}}, highlighting restrictive terms that confuse shoppers.
5. Score each article across four criteria: policy accuracy, channel consistency, findability, and dispute-prevention efficacy.
6. Classify discovered documentation deficiencies by customer impact, contact deflection potential, and operational risk.
7. Formulate specific copy corrections, layout adjustments, and new topic requirements for each flagged knowledge asset.

Constraints

• Recommendations MUST directly cite contradictory phrasing between {{current_kb_articles}} and {{return_policy_changes}}.
• MUST NOT suggest adding unstructured policy text that exceeds an eighth-grade reading comprehension level.
• Findings must distinguish between physical retail rules and digital e-commerce workflows.
• Prioritization must reflect ticket volume severity indicated in {{support_ticket_trends}}.

Output format

Provide an analysis document with the following structure:

1. Executive Summary (under 200 words)
2. Policy Inconsistency Matrix (markdown table: Article Title, Current Stated Policy, Actual Policy, Severity Score 1-5)
3. Channel-Specific Friction Audit (detailed findings grouped by channel in {{target_channels}})
4. High-Volume Inquiry Coverage Gaps (bulleted analysis linking to {{support_ticket_trends}})
5. Remediation Roadmap (table: Topic, Action Required, Expected Deflection Lift, Implementation Effort)

Self-review

• Confirm every channel in {{target_channels}} has dedicated analysis.
• Verify that all identified policy contradictions cite exact snippets from {{current_kb_articles}}.
• Check that the total remediation roadmap contains actionable, concrete article revisions.