Role: Lead UX Designer
Project: New free security offering
Released: 2024
Xfinity WiFi Motion
Turning a 78% drop-off security trial into a trusted platform
CONTEXT & STAKES
Traditional security is expensive and complex. Our new WiFi-based model used existing devices for camera-free motion detection, but saw a 78% trial drop-off rate due to privacy concerns, value confusion, and legal hurdles.
This was the flagship test of a new protection business model serving 2.1M monthly users, needing partner-ready patterns and legal compliance.
MY ROLE & COLLABORATORS
I started as a collaborator during the employee trials, then transitioned into Lead UX Designer post-78% drop-off to drive the turnaround. Partnered closely with brand, legal, and engineering to align education, compliance, and technical constraints
PROBLEMS & INSIGHTS
78% trial drop-off from privacy & value confusion
Legal compliance risks for novel detection tech
No partner-ready patterns for multi-brand rollout
Original onboarding design
Lack of educational moments, privacy/data clarity, and inconsistent visual language
STRATEGY & KEY DECISIONS
Education-first onboarding
Created impact maps showing education’s effect on activation screens. Prioritized clarity on compatibility, value, and privacy over speed-to-activate.
Phased MVP vs Post-MVP
Split the roadmap: MVP for launch (core activation + brand) vs Post-MVP (partner screens, advanced education). This accelerated delivery while keeping scalability.
Privacy controls as trust features
Delayed pet/sensitivity education to the 3rd session post-activation. Turned settings into reassurance (not complexity) via clear toggles and expectations.
Visualize invisible tech
Live motion view used radar-like pings to make WiFi detection tangible and trustworthy, not creepy.
SOLUTION
Onboarding redesign
Educational journey with compatibility checks, legal integration, and brand-aligned visuals.
Key interactions
Pet toggles + 3 sensitivity levels designed as trust signals, not buried settings.
Live experience
Radar visualization shows detection in real-time, building confidence in invisible tech.
OUTCOMES
Major drop-off reduction from 78% base line
10% upgrade conversions across 2.1M monthly users
Scalable, partner-ready patterns reused for additional brands
WHAT I LEARNED
For the Organization
Became the blueprint for privacy-sensitive, partner-ready security features
Guiding the way we educate on future WiFi-powered offers
For Myself
Mastered education-first onboarding for complex, trust-dependent technology