Dell — ROOST: Scaling enterprise review efficiency with AI
As part of Dell Technologies’ B2B SaaS platform, ROOST (Review Of Online Sales Terms), this case study highlights my end-to-end design work on two key product features:
1. Assigning tags to URLs for scalable content ownership, and
2. AI-suggested linked URLs to augment shared content detection.
Role and Responsibilities:
As the Lead Product Designer, I led the end-to-end UX process and shipped multiple key product features with highest level of craft and execution to drive impact at scale.
• Collaborated in design sprints with PMs, engineers, and legal stakeholders to define scope, requirements, and constraints.
• Conducted user research and usability testing to uncover pain points and validate design decisions through iterative feedback.
• Designed simplified, scalable workflows and high-fidelity visual artifacts that aligned with user needs and advanced business goals.
• Drove a cross-org initiative with the Design System team to build scalable, reusable components integrated into Dell Design System v2.0.
• Documented detailed high-fidelity specs and partnered closely with engineers and QA for smooth handoff and high-quality implementation.
Impact Metrics:
The design improvements led to a 76% reduction in pending reviews and cut avg. amendment publication time from 30 days to just 6 days.
