NGUYEN LE / IKIGAI LABS RESEARCHER & PRODUCT DESIGNER

Here's What Happened After It Shipped.

The numbers didn't happen by accident.

Based in Ho Chi Minh City, with work across PropTech, e-commerce, retail, and ERP, from local Vietnamese platforms to a Dubai-backed retail group. Most teams call a project done at launch. I treat launch as where the real test starts, and I stay in the loop, watching what the data says, until the problem is actually solved instead of just shipped.

Read the full Peg B case study
Ikigai Labs The labs behind this portfolio See how the design system behaves
−40% Design iteration time Internal tracking
−25% User error rate Post-launch analytics
+10% Customer retention Post-launch A/B testing
Method
1Request handling
2Planning
3Execution
4Feedback
5Analysis
6Reported insight

Case studies

Four case studies documented in full, plus two self-directed research projects on AI governance and graduated autonomy.

EVIDENCE: BI DATA 2024–2025

Peg B Technology

Resolving a foundational B2C-versus-B2B disagreement with market data, then building the token architecture and testing loop that shipped a luxury retail platform on a compressed timeline.

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EVIDENCE: BI + INTERVIEWS 2022–2023

The Chairman's Dashboard

One of five simultaneous client engagements at Lollypop, and the project that became the origin point of the Graduated Autonomy framework.

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EVIDENCE: 50 INTERVIEWS 2020–2022

Pizza Hut Vietnam

Fifty user interviews before touching a single screen, then an end-to-end e-commerce redesign that moved sales 15% without a single dark pattern.

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EVIDENCE: USABILITY TESTING 2018–2020

Gamuda Land Vietnam

Building the brand and digital design foundation for the Vietnamese arm of a RM28.5-billion regional developer, during its early expansion.

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Research & Frameworks

Separate from client work: self-directed research I run on my own time to think through problems the market hasn't settled yet. No client, no commercial product - just independently produced thinking.

SELF-DIRECTED RESEARCH 2025–2026

Rethinking AI Chat UX: A Research-Led Framework

A structural diagnosis of three recurring AI chat interaction failures - the prompt barrier, context decay, and trust erosion - and a hybrid interface framework for designing past them.

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ORIGINAL FRAMEWORK 2025–2026

Graduated Autonomy

A traceability framework for agentic orchestration. Trust between humans and AI agents has to be earned through evidence - not assumed, not delegated, not hoped for.

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