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Overview
CX Strategy & Design Ops Framework that scales impact with AI automation
Role: UX Manager
Duration: July 2026 - 1 month
Context & Executive Summary
The Challenge
The CX team faced ambiguous design requests, friction over role boundaries (Strategists vs. UX Designers), and unstructured intake processes that led to resource bottlenecks.
The Goal
Build an end-to-end Design Operations framework to automate triage, clarify governance, and standardize deliverable quality across 3–5 year vision concepts and short-term product optimizations.
Overview
CX Strategy & Design Ops Framework that scales impact with AI automation
Role: UX Manager
Duration: July 2026 - 1 month
Overview
CX Strategy & Design Ops Framework that scales impact with AI automation
Role: UX Manager
Duration: July 2026 - 1 month
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Key Managerial Interventions
Operational Pipeline & Governance (3-Track System)
Categorized all team requests into 3 distinct operational horizons: Track 1 (3–5 Year Future Creation), Track 2 (6–18 Month Strategic Transformation), and Track 3 (0–6 Month Experience Optimization).
Established a clear cross-functional RACI matrix defining accountability across "The Triad" (Design, Business, and Engineering Leads) with executive tie-breaking protocols.
Impact
100% Process Adherence: Replaced ad-hoc requests with an objective, data-backed prioritization engine.
Process Efficiency: Cut intake-to-kickoff lead time using automated brief generation and structured SLAs.
Organizational Clarity: Defined distinct responsibilities between strategic visioning and UX execution, reducing burnout and cross-departmental friction.
AI-Assisted Triage & Automation Engine
Replaced ad-hoc intake with a quantitative scoring engine measuring Business Value, User Impact, Urgency, and Design Effort.
Integrated an AI Agent workflow to auto-draft project briefs, route track assignments, and trigger stakeholder notification loops automatically.
Standardization & Capacity Growth
Created an Activity Resource Hub featuring plug-and-play templates, reference galleries, and artifact selection guides to eliminate non-value-add overhead.
Introduced clear project SLAs (guaranteed status decision in 1–2 weeks) and created a 30-day backlog acceleration pathway using resource co-funding or scope reduction.
Key Managerial Interventions
Operational Pipeline & Governance (3-Track System)
Categorized all team requests into 3 distinct operational horizons: Track 1 (3–5 Year Future Creation), Track 2 (6–18 Month Strategic Transformation), and Track 3 (0–6 Month Experience Optimization).
Established a clear cross-functional RACI matrix defining accountability across "The Triad" (Design, Business, and Engineering Leads) with executive tie-breaking protocols.
AI-Assisted Triage & Automation Engine
Replaced ad-hoc intake with a quantitative scoring engine measuring Business Value, User Impact, Urgency, and Design Effort.
Integrated an AI Agent workflow to auto-draft project briefs, route track assignments, and trigger stakeholder notification loops automatically.
Standardization & Capacity Growth
Created an Activity Resource Hub featuring plug-and-play templates, reference galleries, and artifact selection guides to eliminate non-value-add overhead.
Introduced clear project SLAs (guaranteed status decision in 1–2 weeks) and created a 30-day backlog acceleration pathway using resource co-funding or scope reduction.
Impact
100% Process Adherence: Replaced ad-hoc requests with an objective, data-backed prioritization engine.
Process Efficiency: Cut intake-to-kickoff lead time using automated brief generation and structured SLAs.
Organizational Clarity: Defined distinct responsibilities between strategic visioning and UX execution, reducing burnout and cross-departmental friction.
Context & Executive Summary
The Challenge
The CX team faced ambiguous design requests, friction over role boundaries (Strategists vs. UX Designers), and unstructured intake processes that led to resource bottlenecks.
The Goal
Build an end-to-end Design Operations framework to automate triage, clarify governance, and standardize deliverable quality across 3–5 year vision concepts and short-term product optimizations.
Context & Executive Summary
The Challenge
The CX team faced ambiguous design requests, friction over role boundaries (Strategists vs. UX Designers), and unstructured intake processes that led to resource bottlenecks.
The Goal
Build an end-to-end Design Operations framework to automate triage, clarify governance, and standardize deliverable quality across 3–5 year vision concepts and short-term product optimizations.
Key Managerial Interventions
Operational Pipeline & Governance (3-Track System)
Categorized all team requests into 3 distinct operational horizons: Track 1 (3–5 Year Future Creation), Track 2 (6–18 Month Strategic Transformation), and Track 3 (0–6 Month Experience Optimization).
Established a clear cross-functional RACI matrix defining accountability across "The Triad" (Design, Business, and Engineering Leads) with executive tie-breaking protocols.
AI-Assisted Triage & Automation Engine
Replaced ad-hoc intake with a quantitative scoring engine measuring Business Value, User Impact, Urgency, and Design Effort.
Integrated an AI Agent workflow to auto-draft project briefs, route track assignments, and trigger stakeholder notification loops automatically.
Standardization & Capacity Growth
Created an Activity Resource Hub featuring plug-and-play templates, reference galleries, and artifact selection guides to eliminate non-value-add overhead.
Introduced clear project SLAs (guaranteed status decision in 1–2 weeks) and created a 30-day backlog acceleration pathway using resource co-funding or scope reduction.
Impact
100% Process Adherence: Replaced ad-hoc requests with an objective, data-backed prioritization engine.
Process Efficiency: Cut intake-to-kickoff lead time using automated brief generation and structured SLAs.
Organizational Clarity: Defined distinct responsibilities between strategic visioning and UX execution, reducing burnout and cross-departmental friction.