Overview
Meltwater Newsletter is a high-frequency touchpoint for marketing and communications teams. Originally a static reporting tool, it was redefined as an AI-assisted engagement system—enabling scalable creation, intelligent prioritization, and faster decisions.
Achievement
Led the end-to-end transformation of the newsletter creation architecture—flattening workflows, integrating AI-assisted curation, and building an AI-ready modular system. Delivered +53% CES, reduced creation time, and established the foundation for scalable intelligence integration.
Type
Work Project (Released Project)
Team
Product Manager (1)
Developer Team (4) User Researcher (1)
Time
2025Q4 (4 Weeks)
My Role
Product Designer
Product Preview
1. Strategic Context: Why this surface mattered to business
“I need to move faster without missing what matters.”
On average, users spent 1.5 hours daily curating each newsletter—time lost to manual scanning and assembly.
2. Structural Diagnosis
What was broken at system level
3. Reframing
From Reporting Tool to Engagement Infrastructure
The Newsletter had been treated as a static reporting surface. I redefined it as a high-frequency engagement infrastructure — a system designed to drive intelligent decision-making and retention.
4. System Architecture Shift
Structural redesign across workflow, intelligence, and architecture layers
5. Capability Evolution
Level 1 — Workflow Simplification
Flattened the creation flow
Reduced cognitive switching
Enabled faster publishing
Level 2 — Intelligence Embedding
Introduced AI Summary and AI Sort
Enabled behavior-informed prioritization
Shifted from manual selection to assisted decision-making
Level 3 — Use Case–Driven Architecture
Modular schema-driven templates
Persona as a structural input
Enabled AI-ready generation pipeline
6. Impact
Measurable Outcomes and Capability Shift
Measurable Outcomes
+53% CES improvement
Reduced creation time
Increased AI adoption
Improved engagement signals
Capability Shift
From manual assembly → intelligence-assisted creation
From template-bound tool → modular, extensible infrastructure
From linear workflow → scalable content engine
7. What This Unlocked for the Roadmap
The structural redesign established long-term capability leverage
The structural redesign established long-term capability leverage:
Persona-informed system architecture
Embedded, adaptive intelligence
Scalable AI-assisted generation
Continuous performance learning loops
The Newsletter is now positioned as a scalable engagement platform.
8. Reflections
Intelligence cannot be layered onto a fragmented system.
Architecture must precede automation.
True AI integration is not about adding features,
but redesigning systems to support extensibility and learning.
This principle now guides how I approach AI-native product design.