All workZee Liu
Case 03 / 06RubrikMar 2022 — May 2023Enterprise SaaS · Migration

Pulling admins off a 10-year-old console they had no reason to leave.

  • Systems Design
  • Migration
  • Enterprise
  • Data Viz

Data security is the infrastructure of operating businesses — admins prioritize familiarity and utility over polish. I led the systemic redesign that gave them a reason to migrate without breaking muscle memory.

Role
Senior Product Designer
Timeline
Mar 2022 — May 2023
Team
5 PMs · 2 PDs · 18 engineers
Tools
Figma, User Research, Design Systems
The deeper cut

Most of my work lives behind NDAs and embargoes. The walkthrough that matters — the why, the things I cut, the calls I'd make differently — happens in conversation, not on a page.

The design problem

Day-to-day data monitoring (cluster health, job ops, disk replacement) was mature in legacy local software and underdeveloped in the new SaaS — because cloud ransomware detection had taken priority. How do we give admins a reason to migrate without losing what they already trust?

Outcome at a glance

Closed the migration gap

Rebuilt the core data-monitoring surfaces — cluster jobs, disk replacement, health monitoring — inside Rubrik Security Cloud, framed against the legacy console rather than away from it.

3 surfacesCore monitoring rebuilt
Legacy parityDay-to-day ops covered
SaaSCloud-first, system-aware
02My contributions

Where I made the calls.

  1. 01Diagnosed the customer-stickiness problem: legacy software's day-to-day monitoring (cluster jobs, health, disk replacement) was mature; the SaaS replacement had been deprioritized in favor of new ransomware features. Re-framed the brief from 'redesign the dashboard' to 'give admins a reason to migrate.'
  2. 02Mapped the legacy mental model — clusters, jobs, alerts — and rebuilt the SaaS surfaces around it instead of around the new feature taxonomy.
  3. 03Designed progressive disclosure for power users and sensible defaults for new ones, validated against admin shadowing sessions.
  4. 04Drove the telemetry-driven IA: Pendo + Looker as the input, dashboard surface decisions as the output.