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| Phase | Scope | Success Metrics | |-------|-------|-----------------| | | • Hook UI events (screen change, button clicks). • Pull static, pre‑tagged articles from the KB. • Render a simple “Help” panel with search. | • 80 % of users open the panel at least once. • 30 % reduction in “I can’t find X” support tickets. | | Phase 2 – AI‑driven Ranking | • Add embedding generation for context + article titles. • Serve top‑3 most relevant suggestions automatically. | • 60 % of presented suggestions are clicked. • 20 % increase in feature adoption (tracked via action buttons). | | Phase 3 – Proactive Actions | • Define “next‑best‑action” rules (e.g., if user completes “Create Project”, suggest “Invite Team”). • One‑click execution via API calls. | • 15 % lift in multi‑step workflow completion rates. | | Phase 4 – Learning Loop | • Capture rating/feedback. • Retrain ranking model weekly. • A/B test new suggestion sets. | • Feedback rating ≥ 4/5 on average. • 10 % improvement in relevance (CTR). | | Phase 5 – Extensibility | • Public SDK for third‑party plugins. • Multi‑language support. | • 5+ external plugins integrated within 3 months of release. |

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$199 (was $249) – Includes a 2‑year warranty upgrade

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