Kubernetes Multi-Cluster User research
Kubernetes multicluster user reseach — survey analysis, research results, persona development, and journey mapping(workflow mapping) for 170 engineers.
Project Overview
SIG-multi cluster is not only focusing on reducing technical complexity but also focusing on the human side - That’s where our UX research began. Our goal is simply make complex multi cluster systems easy to use and turn difficult operations into smooth and engineer friendly. We designed surveys for engineers who work with multi clusters. We focused on problem areas on Tooling, Environment, Troubleshooting, Observability, and Collaboration, workflows, architecture, multicluster management and deployment and debugging the challenges when they occur.
My Role & Responsibility
- Working as a UX researcher on Kubernetes multi-cluster systems to identify engineers’ challenges and design developer-friendly multi-cluster experiences.
- Conducted qualitative and quantitative research to identify 170 engineer-facing challenges in multi-cluster operations.
- Performed thematic analysis and open coding to identify key themes, operational pain points, and workflow gaps.
- Identified primary multi-cluster use cases, four major operational challenges, five key recommendations, and actionable developer experience improvements.
- Created a research-backed hybrid engineer persona based on raw research findings to support onboarding and adoption strategies.
- Designed an end-to-end workflow journey map highlighting user goals, actions, frustrations, and operational challenges across multi-cluster environments.
- Helped replace assumption-based product decisions with evidence-driven research insights.
- Presented research findings at KubeCon + CloudNativeCon North America 2025 and KubeCon + CloudNativeCon Europe 2026.
Design Process
The design process involved research, wireframing, and iterative prototyping to validate decisions with real users before implementation.
Outcomes
Findings presented at KubeCon Atlanta; white paper in active review with the CNCF SIG Multi-cluster group, informing roadmap prioritization for multi-cluster tooling.