Available for engagement

Gunther Eisen (Gonçalo Ferraz)

Senior UX Leader · Principal UX Consultant

Curitiba, Brazil — Remote-Ready for Global Opportunities

I help product teams understand what users actually need, and why the current experience falls short of that.

Senior UX Leader & Principal Consultant

20+ years of UX practice at the intersection of research, strategy, and design. My work spans qualitative and quantitative research, information architecture, usability evaluation, and product strategy — at principal level, for teams that need more than a report.

I have led engagements for B2B SaaS platforms, legal systems, web hosting products, health tech, and financial services — working embedded with product teams and as an independent consultant for digital agencies. The common thread: making the gap between what users need and what exists impossible to ignore.

I co-founded Faber-Ludens Institute, Brazil's first Interaction Design school, where I directed operations and taught for over a decade. I have trained and mentored hundreds of UX and product professionals — and that perspective on building capability, not just delivering findings, shapes how I work with every team.

Senior leadership across SaaS, fintech, and health tech

2013
— Present
Founder & Principal UX Consultant
Faber-Ludens Pro
Strategic UX consulting for enterprise clients. Built bespoke ResearchOps and DesignOps frameworks, led design sprints and workshops, advised C-level executives on digital strategy and product direction.
2025
— Present
User Experience Strategist
Coopers Digital
Mapping fragmented digital ecosystems across dozens of systems. Designed a unified information architecture and interaction pattern library as the foundation for a multi-year transformation initiative.
New architecture projected to reduce user navigation time by 40%
2022
— 2025
Senior UX Researcher & Product Designer
Newfold Digital · HostGator · Web.com · Bluehost
Led research and design for a global web hosting portfolio across North American and LATAM markets. Built and scaled ResearchOps infrastructure. Collaborated with design systems teams on high-fidelity platform prototypes.
40% reduction in research cycle time · directly shaped 3 major 2024 product releases
2020
— 2021
Senior UX Researcher
Pipefy
De facto research lead for a complex B2B SaaS platform. Built the centralized ResearchOps system — participant repository, streamlined reporting — and embedded UX culture across product and marketing teams.
25% increase in feature adoption for a key product area
2019
— 2020
Senior UX Researcher / Team Leader
Bradesco Seguros
Led the mobile app design team. Defined UX strategy, implemented DesignOps, mentored junior and mid-level designers, and launched three new app features with measurable engagement uplift.
20% improvement in feature delivery time through process redesign
2007
— 2018
Executive Director, Co-founder & Professor
Faber-Ludens Institute for Interaction Design
Co-founded and directed Brazil's first educational center focused exclusively on Interaction Design. Managed all operations, designed the academic curriculum, supervised over 15 graduate theses, and trained a generation of UX leaders.

Academic background and professional recognition

Education
  • MA, Education (Coursework Completed)
    PUCPR · 2015–2016 · CAPES Scholar
  • Certificate, Creative Direction with Digital Media
    UC San Diego · 2000–2002
  • Graduate Diploma, Marketing
    PUCPR · 1999
  • Bachelor of Industrial Design, Graphic Design
    UNOPAR · 1995–1999
Certifications & Recognition
  • Analytics & UX · Lean UX & Agile · Design Leadership
    NN/g Nielsen Norman Group · 2020–2021
  • Rapid UX Research for Lean & Agile Teams
    NN/g Nielsen Norman Group · 2020
  • C1 Professional English Proficiency
    ETS TOEIC · 955/990 · 2013
  • Co-author: Web Accessibility Guide
    W3C Brasil
  • 15+ keynote & panel talks
    Campus Party · World Usability Day · FrontInterior

AI-native UX practice, built and running in production

I don't use AI tools — I architect AI systems. Over the past year I built a fully operational AI-native UX practice: a governed multi-agent workforce, automated research-to-delivery pipelines, and local ML infrastructure running in daily production. The result is a practice that closes every manual bottleneck in the UX workflow — from research ingestion to client handoff.

Multi-agent orchestration

20+ specialized agents operating as a governed workforce — each with a defined role, formation history, and process assignments. Parallel specialist reviews, cross-agent delegation chains, and equipment checks before new project types. No human mediating technical detail between agents.

Research-to-delivery automation

Full pipeline from raw inputs to shipped deliverables: 131-hour scope estimate generated from a PRD + meeting transcripts + email threads; 44 GitHub Issues created without manual copy-paste; 6 IA deliverables produced with zero human authoring. Multi-locale UX audits across 6 simultaneous locales.

Production ML infrastructure

Local vector search engine (ONNX, Apple MPS) powering dual-corpus knowledge bases — classical library and professional domain KB. Multi-fallback PDF ingestion pipeline. Memory hygiene automation via local LLM at zero API cost. Not a demo — runs in daily production.

Custom MCP server development

Built a purpose-designed RSS MCP server (Python + FastMCP + SQLite) for agent intelligence sweeps. Integrated and configured 12 MCP servers across design, deployment, research, and communication layers.

Spec-to-prototype pipeline

Wireframes generated from IA screen trees via Stitch MCP. HTML/CSS prototypes deployed to Cloudflare Pages in a single command. NotebookLM knowledge bases delivered to clients as self-service Q&A — the AI layer becomes a client deliverable, not just an internal tool.

AI governance design

Token economics as a first-class operational constraint. Modular instruction loading — 75% reduction in always-loaded context. Agent council model for knowledge base curation. Strategic review gates as real approval checkpoints. Organizational design principles applied to AI systems.

Stack: Claude Code CLI · Perplexity MCP · Firecrawl MCP · Figma MCP · Stitch MCP · Excalidraw MCP · Cloudflare Pages + Wrangler · Gemini 2.5 · NotebookLM · Ollama · SentenceTransformer ONNX · FastMCP · GitHub CLI · Notion MCP

Open to international consulting
and embedded UX lead engagements.