Role: Senior Product Designer
Company: Amazon Web Services
Duration: March 2021- present
Amazon Redshift
Amazon Redshift is a fully managed, scalable cloud data warehouse that helps customers gain insights faster through secure and easy-to-use analytics.
Amazon Redshift Serverless is a simplified data warehousing solution that automatically manages compute resources, enables quick insights, and offers pay-per-use pricing without cluster management overhead.
Prototype
My individual contribution
Led Redshift Serverless product design in a large Agile team, directing UX strategy, unified stakeholders collaboration, ensured AWS design system consistency, and coordinated with marketing for cohesive product messaging.
Given the project's large scope, I managed several key design work streams including:
Who did I work with?
Led end-to-end product design for Amazon Redshift Serverless as one of two designers in a 47+ person cross-functional Agile team.
Our process
01. Research
Problem
Organizations seeking to empower their business teams with analytics face several challenges:
Establishing user personas
1.Primary: Data Pro
Goal: quickly get insights from raw data without managing anything.
2. Secondary: Strategic Lead / Database Admins
Goal: Set up and maintain data warehouse to optimize performance.
Customer pain points
Organizations and their teams want to focus on building business applications and running high-performance analytics without worrying about:
User journey mapping
Leveraged user research to create journey maps and translated it into actionable improvements:
One-click resource creation, eliminating complex configuration forms
Rapid query execution with optimized data loading
Intuitive self-service experience
Automated resource management
02. Ideate
Exploration & Ideation
Led cross-functional discovery and ideation sessions to define problems, gather requirements, and generate solutions. Facilitated team reviews to evaluate concepts, weighing pros and cons before finalizing decisions that best addressed user needs.
Information Architecture
Architected a strategic site map for the console, streamlining content organization and enhancing user experience. This foundational work accelerated development planning and improved team alignment on product structure.
User Flow
Mapped detailed user flows to optimize task completion paths and provide context for key user interactions, enabling data-driven product decisions and improved user experience.
03. Prototype
High fidelity Wireframing
Translated complex product requirements into high-fidelity wireframes and interactive prototypes, enabling effective user testing and engineering handoff. Leveraged industry-standard tools (Sketch, InVision, Figma) to create detailed specifications that accelerated development.
04. Test / Iterate
Usability testing
Led iterative user testing sessions across internal and external audiences to evaluate solution effectiveness. A key finding from these tests catalyzed a major redesign of our onboarding flow, resulting in streamlined API architecture and enhanced user configuration experience.
Multi-writer functionality
Identified a critical need to separate storage (namespace) and compute (workgroup) management to support multi-writer functionality. Led API redesign initiative to ensure backward compatibility while enabling new capabilities, avoiding disruption to existing customers.
Workload isolation
Workload isolation by enabling multiple serverless endpoints within single AWS accounts, eliminating previous organizational barriers and simplifying resource management.
05. Results
Results
This strategic initiative helped to migrate Amazon Redshift customers to Serverless, achieving 90% adoption rate within 1 year. Simplified customer experience through automated data management, resulting in 64% reduction in operational overhead and 34% cost savings for customers. This transformation improved customer satisfaction scores from 46% to 72% and generated $20 million in incremental revenue.
