DiDi · Shaping an Enterprise Security Platform

EagleEye Policy Center 2.0

Designed a unified policy engine that drove $6M in revenue while improving operational efficiency for enterprise security teams.

Security Operator Voice

"Policy management across devices and departments is finally streamlined."

Scope

Staff-level platform design

+75%

Trial Conversion

100K+

Endpoints Managed

-65%

Task Time (20m→7m)

Efficiency issues
Before: Multi-day + manual validation
Create policyFill formValidationDuplicate conflictsReview added itemsPerformance bottleneckRework next dayClick "After" to see the streamlined workflow.
Setup time
Multi-day
Validation loops
Repeated
Failure rate
Higher

Product

EagleEye EPP

Users

SecOps Operators

Timeline

2020 – 2023

Role

Design Lead

01. Challenge

Fragmented. Error-prone

A fragmented policy setup made configuration difficult to scan, easy to misconfigure, and costly to complete.

Blind Spots: No department-level visibility.
Conflicts: Logic clashes & validation errors.
Abandonment: 40% task drop-off rate.
Legacy 4-day configuration workflow showing Day 1-4 process with validation and failure points

Fig 1. The legacy 4-day configuration process.

Device-centric vs. People-centric architecture framework diagram

Fig 2. Device-centric vs. People-centric architecture.

02. System Thinking

Re-architecting governance

Legacy systems mapped policies to devices, causing clashes. I introduced an "Aggregated Policies" framework:

Default RulesInheritable organizational baselines.
Exception RulesSafe overrides bound to specific departments.

03. Approach & IA

Prioritization at scale

  • UX BenchmarkingHEART model baseline (4.12).
  • P0/P1/P2 CategorizationStrict element hierarchy reducing cognitive load.
  • Unified HubConsolidated device IDs into departmental structures.
IA Wireframes defining the P0/P1/P2 hierarchy

Fig 3. Wireframes defining the P0/P1/P2 hierarchy.

04. Design System

Systematized for Scale

Extended a self-authored design system across iterations to improve consistency, speed up delivery, and support more scalable product evolution.

Design System Model

EagleEye Design System

05. Solutions

Streamlining the enterprise

Reduced policy configuration complexity to create a more scannable experience and improve administrative efficiency across devices and departments.

From Cluttered to Scannable
Simplified Workflow

Single-session configuration flow

06. Workflow Simplification

Simplifying the Flow for Operational Efficiency

Redesigned the configuration flow from 7 steps to 3, reducing interaction overhead and creating a faster, more scalable administrative experience.

7 → 3 steps
Clearer task flow
Higher efficiency

07. Reframing Feedback

Reframing Feedback Through a Guided Survey Modal

Building on the Heart Modal interaction pattern, I created a more structured survey modal that improved clarity, reduced response friction, and generated more actionable feedback—raising the experience score from 4.12 to 7.48.

Foundation

Heart Modal pattern

Measured Lift

4.12 → 7.48

Design Impact

Lower friction, stronger signal

Rather than simply reusing the existing modal, I adapted the pattern into a more guided survey flow—making the interaction feel lighter for users while producing feedback that teams could actually act on.

UX Validation Survey Model

Survey Modal for UX Validation

08. System Expansion

From Strategy Center to Live Security Command

The strategy center redesign improved the product and extended its system logic into a real-time security dashboard for more dynamic, decision-ready monitoring.

Real-Time Visibility
System-Level Extension
Operational Decision Support

Designed as a system extension, the live screen made security signals more visible, dynamic, and decision-ready.

09. Staff-Level Ownership

From Ambiguity to Validated Outcomes

Drove the work from ambiguous problem framing to validated outcomes—shaping strategy, defining reusable patterns, aligning stakeholders, and grounding decisions in data.

Strategy

Framed the problem, identified feedback gaps, and translated business needs into product direction.

Systems Thinking

Extended modal patterns into a reusable feedback framework with clearer, actionable signals.

Validation

Connected design decisions to measurable outcomes, including the score lift from 4.12 to 7.48.

10. Impact

Commercial Impact

Measurable improvements in UX score, efficiency, and error reduction across the EagleEye platform.

UX Score

+81%improvement

4.12 → 7.48

BeforeAfter

Efficiency

65%time reduction

20 mins → 7 mins

BeforeAfter

Error Drop

90%reduction

10 → 1 error per user

BeforeAfter

NPS

8.3score

Net Promoter Score (0–10)

010

11. Reflection

"This work was a reminder that staff-level design is not just about shipping polished interfaces—it is about identifying where clarity breaks down, creating frameworks that scale, and ensuring design decisions hold up through measurable outcomes. The strongest impact often comes from redesigning the signal, not just the surface."