Portfolio

Case study 03

mobile app

mobile app

Fintech

Fintech

ux research

ux research

redesign

redesign

hospitality

hospitality

Hall Pass Redesign

Hall Pass Redesign

Hall Pass Redesign

Conducted extensive research to redesign Hall Pass, Hall Management Group’s customer loyalty restaurant rewards system.

Role

UX Designer & Researcher

Timeline

7 weeks / September 2025

Tools

Figma

Scope

Professional / Academic Portfolio

View outcomes

View outcomes

Read the process

Read the process

Billy

ORIGINAL EXPERIENCE

REDESIGNED Interface

Phase 01

Context & The Challenge

A critical drop-off problem hiding in plain sight

Background

Hall Pass Rewards is the mobile loyalty program for Halls Chophouse. To align the digital experience with its high hospitality standards, I conducted a 7-week redesign focused on automated point tracking, immediate sensory feedback, and streamlined navigation.

Problem Statement

Halls Pass users across various life stages need an effortless, immediate rewards system to replace time-consuming manual processes that disrupt their primary dining goal: enjoying quality time with family while feeling valued for their loyalty.

Primary KPI goal

+8%

+8%

+8%

Target adoption of automated QR scanning over manual point entry.

Phase 02

Discovery & Empathize

Understanding the friction holding back premium dining rewards

I analyzed app store review data alongside a direct competitive audit to uncover environmental constraints—like low-light dining rooms and family interactions—that impact how loyalty members use the app.

COMPETITOR

TYPE

PRICE

TARGET AUDIENCE

Ruth’s Chris

Fine dining steakhouse

$$$$

Special-occasion diners

Burton’s Grill

Upscale casual dining

$$$

Health-conscious families

Texas Roadhouse

Casual chain steakhouse

$$

Value-driven families

Starbucks

QSR café & loyalty leader

$

Loyalty-driven regulars

COMPETITOR

PRICE

TARGET AUDIENCE

Ruth’s Chris

$$$$

Special-occasion diners

Burton’s Grill

$$$

Health-conscious families

Texas Roadhouse

$$

Value-driven families

Starbucks

$

Loyalty-driven regulars

Research methods

Reviews

Critical pain points identified by frequency

6 Apps

Direct and indirect restaurant loyalty programs evaluated

3 Profiles

User personas developed across varying guest life stages

7 Weeks

Total timeline dedicated to this redesign initiative

Core user pain points

From Secondary Research

01

Manual receipt tracking bottlenecks

Multi-step receipt submission causes friction at the table, disrupting hospitality and eroding guest trust.

02

Ambiguous balance validation feedback

Lack of immediate visual confirmation creates uncertainty, forcing users to navigate through opaque menus instead of focusing on their meal.

03

Flawed accessibility in low lighting

Low-contrast typography and poor responsiveness make the app difficult to navigate in dim restaurant environments.

Phase 03 & 04

Define & Ideate

Turning research noise into a single, guiding design question

How Might We

How might we help premium restaurant guests effortlessly track and redeem rewards—without disrupting the tableside hospitality experience or adding cognitive burden to their dining experience?

How might we help premium restaurant guests effortlessly track and redeem rewards—without disrupting the tableside hospitality experience or adding cognitive burden to their dining experience?

This statement synthesized app store friction data with competitive analysis, establishing the north star before interface sketching began.

Mapping Real-World Friction to Hands-Free Processing

Each real-world user friction map directly to an automated processing step, resolving table anxiety into an instant, hands-free loyalty credit.

ANXIETY LAYER 01

The Time-Pressured Guest

ANXIETY LAYER 02

Impaired Visual Environment

ANXIETY LAYER 03

Fragmentation of Steps

AUTOMATED SCANNING & PROCESSING ENGINE

[AUTOMATED QR RECEIPT PARSER]

[AUTOMATED QR RECEIPT PARSER]

[SENSORY FEEDBACK VALIDATOR]

[SENSORY FEEDBACK VALIDATOR]

[ACCESSIBILITY CONTRAST FILTER]

[ACCESSIBILITY CONTRAST FILTER]

HIGH-CONFIDENCE LOYALTY TRANSACTION OBJECT

Instant Point Validation (Predicted)

ZERO MANUAL STEP INTERACTION

OPTIMIZED LOW-LIGHT INTERFACE DELIVERABLE

Phase 05 & 06

Design, Prototype & Test

Translating heritage hospitality values into high-fidelity digital interfaces

I converted the architectural logic into an accessible design system focused on high-contrast visual hierarchies and instant feedback loops, building a mobile prototype equipped with a dedicated contrast mode tailored for low-light dining environments.

Key Feature

Tableside Hierarchy & Quick Actions

User Impact

Centralizing add and redeem functions via prominent top-level targets eliminates tableside friction and streamlines tracking.

Key Feature

Automated Validation Flow

USER impact

Transitioning from manual entry to automated QR scanning streamlined the user flow, removing navigation friction and reducing task time by half.

6

Apps audited

Direct & indirect

3

User personas

Varying life stages

Phase 07

Impact & Key Takeaways

Elevating the digital guest experience

Over 7 weeks, automated point-tracking, immediate sensory feedback, and streamlined navigation were introduced to restore guest trust without compromising tableside hospitality.

What I’d carry into the next project

01

Service Before Self

Aligning the digital ecosystem with real-world hospitality values ensures technology enhances the dining experience rather than detracting from it.

02

Immediate Sensory Feedback

Providing clear visual and tactile confirmation instantly restores guest trust and removes ambiguity.

03

Automated Infrastructure

Transitioning from complex manual workflows to automated receipt parsing and immediate feedback loops restores user confidence during service.

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