product-help-center

# Help Center Design Design AI-first help centers, knowledge bases, FAQs, and learning materials. This skill reflects the shift from static help portals to AI-powered, embedded, personalized self-service systems. ## Workflow (Use As Default Order) 1. Define scope and constraints - Audience/personas, product area(s), product versioning, channels (web/in-app), compliance requirements, localization needs. 2. Inventory current knowledge - Top tickets, top searches, top articles, top escalation reasons, and known content owners. 3. Build information architecture - Category structure, tagging, navigation, URL strategy, and internal linking. 4. Standardize content - Article types, templates, AI-friendly writing rules, and visual standards. 5. Instrument and measure - KPIs, event tracking, dashboards, and search query logging. 6. Add AI support safely - Retrieval-first answers, citations, confidence thresholds, escalation rules, and transactional guardrails. 7. Run knowledge operations - Governance, freshness detection, release-driven updates, and continuous optimization. Expected outputs (adapt to request): - Help center taxonomy map + tag schema - Top 20 article backlog (by impact) + templates - Analytics spec (events + dashboard KPIs) - AI support spec (RAG sources, escalation thresholds, safety rules) - Operating cadence (owners + review schedule) ## Quick Reference ### Content Type Decision Matrix | User Need | Content Type | Format | AI Role | |----...