An Intelligent White-Label Engine for Global QSR
Role
Lead UX Strategist & Product Designer
Team
10 Cross-functional Team Members
Duration
12 Weeks
Industry
QSR (KFC, Pizza Hut, Taco Bell & Habit Burger)
Executive Summary
Context: Yum! Brands operates over 50,000 restaurants globally. To maintain operational excellence at this scale, Restaurant Managers require high-fidelity tools to manage complex workflows across multiple brands and territories.
Challenge: Define a concept for a highly configurable white-label solution (ability to customize per brand) that enables Restaurant Managers to improve accuracy and speed of service with data and decision support.
Approach: Architected a unified, brand-agnostic operational core designed for high-volume environments. The solution prioritizes modularity, allowing each brand to skin and configure workflows while maintaining a robust, data-driven decision support system.
Outcome: Delivered an operational framework that measurable improves key QSR performance indicators including Order Accuracy, OSAT, and ROCC compliance.
Key Methods
- Functional Workshop
- QSR Benchmarking & Insights
- Stakeholder & User Interviews
- Current-State Assessment
- Contextual Inquiries
- Brand Guideline Alignment
Discovery & Constraints
White-Label Scalability
The system must adapt to unique brand identities and localized operational requirements without breaking the core logic.
Decision Support
Translating real-time restaurant data into actionable operational insights for Managers to improve accuracy and speed.
User Persona & Critical Insights
To maintain operational excellence at scale, we identified three critical archetypes whose daily workflows drive global performance.
Restaurant General Manager (RGM)
- ‣ Complex reports & lack of clear actions
- ‣ Poor guidance & no real-time data visibility
- ‣ Antiquated methods of communication
- ‣ No way to see how actions move the needle
Above Store Manager
- ‣ No data to back up value of RGM training
- ‣ Poor visibility into underperforming stores
- ‣ Manual scheduling of store visits
- ‣ Lack of insights for immediate, impactful coaching
Team Member
Focus: Optimizing shift schedules and training staff using benchmarks to improve speed and taste scores.
Duties: Guest greeting, order prep, drive-thru operations, and inventory management.
Critical Insight
Operational continuity breaks when critical data lives in silos; a unified white-label core is required to eliminate manual friction.
Strategic Framing
Problem Reframing
Shifting from "Brand-Specific Tools" to a "Unified Operational Core." Moving from reactive management to proactive, data-driven decision support.
Modular Flexibility
Create a "white-label" core that brands can customize for local identity.
Zero-Friction Checkout
Minimizing taps from "App Open" to "Order Confirmed".
Data-Driven Personalization
Surfacing "Recommended for You" based on cross-brand behavior.
The hypothesis
By unifying technology and UX patterns, we can reduce overhead and redirect resources to perfect AI-driven personalization.
Key Solutions
White-Label Operational Core
A highly configurable platform that allows brands (KFC, Pizza Hut, Taco Bell) to customize workflows, UI themes, and operational triggers while leveraging a standardized backend.
The Rationale
Reducing maintenance overhead by 40% while ensuring each restaurant operates at peak efficiency based on its brand-specific service model.
Predictive Decision Support
An intelligent module that alerts Restaurant Managers to potential ROCC violations or Speed of Service delays before they impact OSAT scores.
The Rationale
Empowering Managers with data to make proactive decisions, directly improving accuracy and overall restaurant performance scores.
Real-time Feedback Ecosystem
Bridging the gap between Guest Experience Surveys (GES) and in-store operations, allowing Managers to address accuracy issues as they occur.
The Rationale
Closing the feedback loop to improve Overall Satisfaction (OSAT) by tying guest feedback directly to operational metrics like ROCC.
Impact & Metrics
Driving measurable value at the intersection of user needs and business goals across global markets.
This project defined a new standard for QSR management, transforming raw data into a competitive advantage for Restaurant Managers globally.
By prioritizing white-label configurability and intelligent decision support, we empowered Yum! Brands to maintain high-fildelity operations at massive global scale.
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