Introduction

I designed and built research operations infrastructure for SingleStore's 40+ person research organization, transforming fragmented processes into a unified system that improved collaboration, reduced time-to-insight, and scaled research capacity while leveraging AI-assisted synthesis responsibly.

Role: Senior UX Researcher & Ops Lead | Timeline: Ongoing

Problem Statement

SingleStore's research team operated in silos with fragmented tools, duplicated efforts, and unclear data sharing. Researchers couldn't quickly access prior studies, insights weren't shared across teams, and project management was inconsistent—slowing time-to-insight and wasting research capacity.

Approach

• Conducted organizational audit of research workflows and pain points across teams
• Mapped research processes: intake, execution, synthesis, sharing, and insights tracking
• Designed centralized research repository with consistent taxonomy and metadata
• Built intake and project management system to standardize workflows
• Implemented AI-assisted synthesis capabilities with human review guardrails

Solution

Created integrated research operations system that:

• Centralized all research - Unified repository for studies, findings, and insights with searchable taxonomy
• Standardized workflows - Consistent project intake, tracking, and completion processes
• Enabled cross-team sharing - Monthly research summaries and insights dissemination
• Reduced duplication - Visibility into prior work prevents redundant studies
• Scaled with AI assistance - AI-powered synthesis with human review to accelerate analysis without sacrificing quality

Impact