
Pizza Hut - Deals Page Optimization
I redesigned Pizza Hut’s Deals experience to improve deal comprehension, promotional discovery, and conversion through phased experimentation.
Impact
$7.5M - $11.3M
Timeline
6 months
Role
Senior Product Designer

01
PROJECT OVERVIEW
Increasing conversion on one of Pizza Hut's highest-revenue digital experiences.
The Deals page was one of Pizza Hut's highest-traffic digital experiences, yet it wasn't converting as many customers as expected. As promotional campaigns expanded, the experience became increasingly difficult to understand, making it harder for customers to confidently choose a deal.
Instead of proposing another large redesign, I reframed the problem around customer decision-making. Using behavioral research and experimentation, I identified low-risk opportunities to improve deal comprehension and conversion.
My Role
Led UX strategy, partnering with Product, Research, Merchandising, and Engineering to shift the team's approach from large redesigns to measurable behavioral improvements.
Incident Management - Before

01
PROJECT OVERVIEW
Increasing conversion on one of Pizza Hut's highest-revenue digital experiences.
The Deals page was one of Pizza Hut's highest-traffic digital experiences, yet it wasn't converting as many customers as expected. As promotional campaigns expanded, the experience became increasingly difficult to understand, making it harder for customers to confidently choose a deal.
Instead of proposing another large redesign, I reframed the problem around customer decision-making. Using behavioral research and experimentation, I identified low-risk opportunities to improve deal comprehension and conversion.
My Role
Led UX strategy, partnering with Product, Research, Merchandising, and Engineering to shift the team's approach from large redesigns to measurable behavioral improvements.
Deals Page - Before

01
PROJECT OVERVIEW
Increasing conversion on one of Pizza Hut's highest-revenue digital experiences.
The Deals page was one of Pizza Hut's highest-traffic digital experiences, yet it wasn't converting as many customers as expected. As promotional campaigns expanded, the experience became increasingly difficult to understand, making it harder for customers to confidently choose a deal.
Instead of proposing another large redesign, I reframed the problem around customer decision-making. Using behavioral research and experimentation, I identified low-risk opportunities to improve deal comprehension and conversion.
My Role
Led UX strategy, partnering with Product, Research, Merchandising, and Engineering to shift the team's approach from large redesigns to measurable behavioral improvements.
Deals Page - Before

01
PROJECT OVERVIEW
Increasing conversion on one of Pizza Hut's highest-revenue digital experiences.
The Deals page was one of Pizza Hut's highest-traffic digital experiences, yet it wasn't converting as many customers as expected. As promotional campaigns expanded, the experience became increasingly difficult to understand, making it harder for customers to confidently choose a deal.
Instead of proposing another large redesign, I reframed the problem around customer decision-making. Using behavioral research and experimentation, I identified low-risk opportunities to improve deal comprehension and conversion.
My Role
Led UX strategy, partnering with Product, Research, Merchandising, and Engineering to shift the team's approach from large redesigns to measurable behavioral improvements.
Incident Management - Before

02
APPROACH & USER RESEARCH
Start with evidence, not assumptions.
Before designing anything, I synthesized existing heuristic evaluations, usability studies, and CRO findings to identify recurring behavioral patterns instead of repeating research.
Weak visual hierarchy
Hidden deal contents
Similar-looking promotional tiles
High cognitive load

I believed the biggest opportunity was improving the fundamental building block of the page: the deal tile.
If customers could understand a deal at first glance, they could compare offers with less effort and make faster decisions.
I focused on three principles:
Hierarchy:Make important information immediately visible.
Price prominence: Better communicate value.
Deal summaries: Surface included items before entering the builder.

I believed the biggest opportunity was improving the fundamental building block of the page: the deal tile.
If customers could understand a deal at first glance, they could compare offers with less effort and make faster decisions.
I focused on three principles:
Hierarchy:Make important information immediately visible.
Price prominence: Better communicate value.
Deal summaries: Surface included items before entering the builder.

I believed the biggest opportunity was improving the fundamental building block of the page: the deal tile.
If customers could understand a deal at first glance, they could compare offers with less effort and make faster decisions.
I focused on three principles:
Hierarchy:Make important information immediately visible.
Price prominence: Better communicate value.
Deal summaries: Surface included items before entering the builder.

I believed the biggest opportunity was improving the fundamental building block of the page: the deal tile.
If customers could understand a deal at first glance, they could compare offers with less effort and make faster decisions.
I focused on three principles:
Hierarchy:Make important information immediately visible.
Price prominence: Better communicate value.
Deal summaries: Surface included items before entering the builder.

02
APPROACH & USER RESEARCH
Start with evidence, not assumptions.
Before designing anything, I synthesized existing heuristic evaluations, usability studies, and CRO findings to identify recurring behavioral patterns instead of repeating research.
Heuristic Evaluations
Weak visual hierarchy
Hidden deal contents
Similar-looking promotional tiles
High cognitive load
Usability Studies
Users opened deals just to understand what was included.
Comparing offers required memory.
Price alone wasn't enough to communicate value.
CRO & Behavioral Analytics
High exploratory clicks
Frequent backtracking
Low decision confidence
I believed the biggest opportunity was improving the fundamental building block of the page: the deal tile.
If customers could understand a deal at first glance, they could compare offers with less effort and make faster decisions.
I focused on three principles:
Hierarchy:Make important information immediately visible.
Price prominence: Better communicate value.
Deal summaries: Surface included items before entering the builder.

Everything competes equally for attention.
Pricing lacks hierarchy; no anchor for value comparison
Promotions blended together visually
Deals Page


What’s included?
How does this deal compare to others?
Deal Builder

Comparing deals required memory
Users had to open each builder to understand what’s included
02
APPROACH & USER RESEARCH
Start with evidence, not assumptions.
Before designing anything, I synthesized existing heuristic evaluations, usability studies, and CRO findings to identify recurring behavioral patterns instead of repeating research.
Heuristic Evaluations
Weak visual hierarchy
Hidden deal contents
Similar-looking promotional tiles
High cognitive load
Usability Studies
Users opened deals just to understand what was included.
Comparing offers required memory.
Price alone wasn't enough to communicate value.
CRO & Behavioral Analytics
High exploratory clicks
Frequent backtracking
Low decision confidence
I believed the biggest opportunity was improving the fundamental building block of the page: the deal tile.
If customers could understand a deal at first glance, they could compare offers with less effort and make faster decisions.
I focused on three principles:
Hierarchy:Make important information immediately visible.
Price prominence: Better communicate value.
Deal summaries: Surface included items before entering the builder.

Everything competes equally for attention.
Pricing lacks hierarchy; no anchor for value comparison
Promotions blended together visually
Deals Page


What’s included?
Back and forth
repeatedly
Customer taps to open deal
How does this deal compare to others?
Deal Builder

Comparing deals required memory
Users had to open each builder to understand what’s included
03
THE CHALLENGE
Pressure pushed the project in a different direction.
Although research pointed toward foundational improvements, leadership and franchise partners were eager for a bold redesign that would visibly modernize the Deals experience and increase conversion as soon as possible.
To explore that direction, I expanded the design space.
Reviewing these concepts with CRO partners surfaced a critical challenge that supported my initial hypothesis:
The concepts generated excitement but not measurable learning.
Each redesign introduced too many variants to test.
Research Findings
03
THE CHALLENGE
Pressure pushed the project in a different direction.
Although research pointed toward foundational improvements, leadership and franchise partners were eager for a bold redesign that would visibly modernize the Deals experience and increase conversion as soon as possible.
To explore that direction, I expanded the design space.
Reviewing these concepts with CRO partners surfaced a critical challenge that supported my initial hypothesis:
The concepts generated excitement but not measurable learning.
Each redesign introduced too many variants to test.
Bento Box

Carousel Prominence

Deal Propensity + Merchandising

03
THE CHALLENGE
Pressure pushed the project in a different direction.
Although research pointed toward foundational improvements, leadership and franchise partners were eager for a bold redesign that would visibly modernize the Deals experience and increase conversion as soon as possible.
To explore that direction, I expanded the design space.
Reviewing these concepts with CRO partners surfaced a critical challenge that supported my initial hypothesis:
The concepts generated excitement but not measurable learning.
Each redesign introduced too many variants to test.
Bento Box

Carousel Prominence

Deal Propensity + Merchandising

03
THE CHALLENGE
Pressure pushed the project in a different direction.
Although research pointed toward foundational improvements, leadership and franchise partners were eager for a bold redesign that would visibly modernize the Deals experience and increase conversion as soon as possible.
To explore that direction, I expanded the design space.
Reviewing these concepts with CRO partners surfaced a critical challenge that supported my initial hypothesis:
The concepts generated excitement but not measurable learning.
Each redesign introduced too many variants to test.
Research Findings
Project Overview
Approach & Research
Challenge
Execution
Results
Reflection
04
THE PIVOT
Instead of choosing between a bold redesign and incremental improvements, I reframed the work as a phased experimentation strategy.
Each phase isolated one behavioral variable, allowing the team to learn what actually improved customer decision-making before layering in richer merchandising, branding, and personalization.
Phase 1 — Foundation
Improve decision confidence
Hierarchy
Deal summaries
Price prominence

New Design Framework
Phase 4 — Personalization
Scale relevance
Recommendations
Behavioral ranking
Adaptive modules

04
THE PIVOT
Instead of choosing between a bold redesign and incremental improvements, I reframed the work as a phased experimentation strategy.
Each phase isolated one behavioral variable, allowing the team to learn what actually improved customer decision-making before layering in richer merchandising, branding, and personalization.
Phase 1 — Foundation
Improve decision confidence
Hierarchy
Deal summaries
Price prominence
Phase 2 — Discovery
Support exploration
Filters & sorting
Intent-based browsing
Discovery badges
Phase 3 — Brand Experience
Increase engagement
Rich merchandising
Campaign moments
Enhanced imagery
Phase 4 — Personalization
Scale relevance
Recommendations
Behavioral ranking
Adaptive modules
04
THE PIVOT
Instead of choosing between a bold redesign and incremental improvements, I reframed the work as a phased experimentation strategy.
Each phase isolated one behavioral variable, allowing the team to learn what actually improved customer decision-making before layering in richer merchandising, branding, and personalization.
Phase 1 — Foundation
Improve decision confidence
Hierarchy
Deal summaries
Price prominence

New Design Framework
Phase 4 — Personalization
Scale relevance
Recommendations
Behavioral ranking
Adaptive modules

05
EXECUTION
Phase 1: Foundation
Validate the foundation before scaling the experience.
Rather than redesigning the entire page, the first experiment isolated the foundational information architecture behaviors research suggested mattered most.
Objective
Validate whether improving deal comprehension increases customer decision confidence.

Do
Show clear progress and what's happening

DoN'T
Avoid indefinite waiting
Hypothesis
If customers understand what a deal includes at first glance, they will require fewer exploratory clicks while maintaining (or improving) downstream conversion.

Do
Deliver the right help, in the flow

DoN'T
Avoid context switching
Hypothesis
If customers understand what a deal includes at first glance, they will require fewer exploratory clicks while maintaining (or improving) downstream conversion.

Do
Provide relevant, transparent guidance

DoN'T
Avoid generic, low-value suggestions
Variables Tested
Hierarchy
Price prominence
Deal summaries
Layout density

Do
Pass context and history to the agent

DoN'T
Avoid starting over

Do
Pass context and history to the agent

DoN'T
Avoid starting over
05
EXECUTION
Phase 1: Foundation
Validate the foundation before scaling the experience.
Rather than redesigning the entire page, the first experiment isolated the foundational information architecture behaviors research suggested mattered most.
Objective
Validate whether improving deal comprehension increases customer decision confidence.
Hypothesis
If customers understand what a deal includes at first glance, they will require fewer exploratory clicks while maintaining (or improving) downstream conversion.
Variables Tested
Hierarchy
Price prominence
Deal summaries
Layout density
Winning Variant
A
Featured-first hierarchy

Prioritized high-value offers with clearer hierarchy and deal summaries to improve first-glance comprehension.
B
Discovery-led browsing

Prioritized horizontal exploration and exploratory interaction patterns.
C
High-density comparison

Increased browsing breadth through a denser scanning (double column) layout.
D
Hybrid discovery system

Combined carousel exploration with higher-density browsing behavior.
05
EXECUTION
Phase 1: Foundation
Validate the foundation before scaling the experience.
Rather than redesigning the entire page, the first experiment isolated the foundational information architecture behaviors research suggested mattered most.
Objective
Validate whether improving deal comprehension increases customer decision confidence.

Do
Show clear progress and what's happening

DoN'T
Avoid indefinite waiting
Hypothesis
If customers understand what a deal includes at first glance, they will require fewer exploratory clicks while maintaining (or improving) downstream conversion.

Do
Deliver the right help, in the flow

DoN'T
Avoid context switching
Hypothesis
If customers understand what a deal includes at first glance, they will require fewer exploratory clicks while maintaining (or improving) downstream conversion.

Do
Provide relevant, transparent guidance

DoN'T
Avoid generic, low-value suggestions
Variables Tested
Hierarchy
Price prominence
Deal summaries
Layout density

Do
Pass context and history to the agent

DoN'T
Avoid starting over

Do
Pass context and history to the agent

DoN'T
Avoid starting over
06
RESULTS
Clarity changed customer behavior.
The winning variant reduced unnecessary exploration while improving downstream business performance. Rather than increasing engagement through richer merchandising, improving deal comprehension helped customers make faster, more confident decisions.
Before
Deal contents hidden until entering the builder
Repeated exploratory clicks to compare offers
High cognitive effort before selecting a deal


After
Deal summaries surfaced directly within each tile
Faster value comparison during browsing
Higher decision confidence before checkout
↓ 0.76%
Exploratory CTR
Fewer exploratory interactions indicated stronger decision confidence and less comparison effort.
↓ 0.76%
Exploratory CTR
Fewer exploratory interactions indicated stronger decision confidence and less comparison effort.
↓ 0.76%
Exploratory CTR
Fewer exploratory interactions indicated stronger decision confidence and less comparison effort.
↓ 0.76%
Exploratory CTR
Fewer exploratory interactions indicated stronger decision confidence and less comparison effort.
↓ 0.76%
Exploratory CTR
Fewer exploratory interactions indicated stronger decision confidence and less comparison effort.
Impact beyond Phase 1
The experiment established an experimentation framework the team could build on. Each following phase introduced one new behavioral hypothesis while preserving what had already been validated.

07
WHAT'S NEXT
Building on the foundation.
Phase 1 proved that clarity improves decision confidence. The remaining roadmap focused on layering discovery, merchandising, and personalization without reintroducing cognitive load.

Phase 1 -> Done
Foundation
Help users understand deals.

Phase 3
Discovery
Help users discover more without thinking harder.

Phase 4
Brand
Create emotional moments after trust has been established.

Phase 5
Personalization
Surface the right deal at the right time.
08
REFLECTION
Clarity changed behavior.
THINGS I BELIEVE NOW
Start smaller than you think.
The biggest improvements came from strengthening the smallest building block of the experience.
Measure customer behavior, not just clicks.
Metrics rarely tell the full story in isolation. Lower exploratory clicks initially appeared negative, but customer behavior revealed this was due to greater customer confidence and reduced decision friction.
Build systems, not screens.
The most valuable outcome wasn't a single winning interface, it was an experimentation framework the team could continue learning from.
02
APPROACH & USER RESEARCH
Start with evidence, not assumptions.
Before designing anything, I synthesized existing heuristic evaluations, usability studies, and CRO findings to identify recurring behavioral patterns instead of repeating research.
Everything competes equally for attention.
Users must open each builder to understand what’s included
Pricing lacks hierarchy; no anchor for value comparison

02
Tap to open deal
02
Back and forth
repeatedly
What’s
included?
Is this actually
a better deal?
How does it compare?
?

Users had to open multiple builders just to answer simple questions.
Weak visual hierarchy
Hidden deal contents
Similar-looking promotional tiles
High cognitive load
Users opened deals just to understand what was included.
Comparing offers required memory.
Price alone wasn't enough to communicate value.
High exploratory clicks
Frequent backtracking
Low decision confidence
INITIAL HYPOTHESIS
Body
03
THE CHALLENGE
Pressure pushed the project in a different direction.
Although research pointed toward foundational improvements, leadership and franchise partners were eager for a bold redesign that would visibly modernize the Deals experience and increase conversion as soon as possible.
To explore that direction, I expanded the design space.
Reviewing these concepts with CRO partners surfaced a critical challenge that supported my initial hypothesis:
The concepts generated excitement but not measurable learning.
Each redesign introduced too many variants to test.
Impossible to isolate what actually drives results.
THE REFRAME
Body
Large Hero
Bento
Carousel
Deal Propensity
04
THE PIVOT
Instead of choosing between a bold redesign and incremental improvements, I reframed the work as a phased experimentation strategy.
Each phase isolated one behavioral variable, allowing the team to learn what actually improved customer decision-making before layering in richer merchandising, branding, and personalization.
Phase 1 — Foundation
Improve decision confidence
Hierarchy
Deal summaries
Price prominence
Phase 2 — Discovery
Support exploration
Filters & sorting
Intent-based browsing
Discovery badges
Phase 3 — Brand Experience
Increase engagement
Rich merchandising
Campaign moments
Enhanced imagery
Phase 4 — Personalization
Scale relevance
Recommendations
Behavioral ranking
Adaptive modules
Title

05
EXECUTION
Phase 1: Foundation
Validate the foundation before scaling the experience.
Rather than redesigning the entire page, the first experiment isolated the foundational information architecture behaviors research suggested mattered most.
Winning Variant
A
Featured-first hierarchy

Prioritized high-value offers with clearer hierarchy and deal summaries to improve first-glance comprehension.
B
Discovery-led browsing

Prioritized horizontal exploration and exploratory interaction patterns.
C
High-density comparison

Increased browsing breadth through a denser scanning (double column) layout.
D
Hybrid discovery system

Combined carousel exploration with higher-density browsing behavior.
Objective
Validate whether improving deal comprehension increases customer decision confidence.
Hypothesis
If customers understand what a deal includes at first glance, they will require fewer exploratory clicks while maintaining (or improving) downstream conversion.
Variables Tested
Hierarchy
Price prominence
Deal summaries
Layout density
Building on the foundation.
Phase 1 proved that clarity improves decision confidence. The remaining roadmap focused on layering discovery, merchandising, and personalization without reintroducing cognitive load.
Foundation
Help users understand deals.
Discovery
Help users discover more without thinking harder.
Brand
Create emotional moments after trust has been established.
Personalization
Surface the right deal at the right time.
Winning Variant
A
Featured-first hierarchy

Prioritized high-value offers with clearer hierarchy and deal summaries to improve first-glance comprehension.
B
Discovery-led browsing

Prioritized horizontal exploration and exploratory interaction patterns.
C
High-density comparison

Increased browsing breadth through a denser scanning (double column) layout.
D
Hybrid discovery system

Combined carousel exploration with higher-density browsing behavior.
Objective
Validate whether improving deal comprehension increases customer decision confidence.
Hypothesis
If customers understand what a deal includes at first glance, they will require fewer exploratory clicks while maintaining (or improving) downstream conversion.
Variables Tested
Hierarchy
Price prominence
Deal summaries
Layout density
07
WHAT'S NEXT
↓ 0.76%
Exploratory CTR
Fewer exploratory interactions indicated stronger decision confidence and less comparison effort.
↑ 0.88%
Conversion Lift
Clearer deal comprehension translated into stronger downstream conversion.
↑ 0.86%
Revenue per Visitor
Customers generated more value despite spending less time exploring.
↓ 0.73%
Average Order Value
High-value offers naturally attracted more attention, creating an opportunity to improve merchandising distribution in future iterations.
Clarity changed customer behavior.
The winning variant reduced unnecessary exploration while improving downstream business performance. Rather than increasing engagement through richer merchandising, improving deal comprehension helped customers make faster, more confident decisions.
Deal contents hidden until entering the builder
Repeated exploratory clicks to compare offers
High cognitive effort before selecting a deal
Deal summaries surfaced directly within each tile
Faster value comparison during browsing
Higher decision confidence before checkout
06
PHASE 1 RESULTS
Title
Key Insights

Clarity changed behavior.
Start smaller than you think.
The biggest improvements came from strengthening the smallest building block of the experience.
Measure customer behavior, not just clicks.
Metrics rarely tell the full story in isolation. Lower exploratory clicks initially appeared negative, but customer behavior revealed this was due to greater customer confidence and reduced decision friction.
Build systems, not screens.
The most valuable outcome wasn't a single winning interface, it was an experimentation framework the team could continue learning from.
THINGS I BELIEVE NOW
08
REFLECTION
02
APPROACH & USER RESEARCH
Start with evidence, not assumptions.
Before designing anything, I synthesized existing heuristic evaluations, usability studies, and CRO findings to identify recurring behavioral patterns instead of repeating research.
Everything competes equally for attention.
Users must open each builder to understand what’s included
Pricing lacks hierarchy; no anchor for value comparison

02
Tap to open deal
02
Back and forth
repeatedly
What’s
included?
Is this actually
a better deal?
How does it compare?
?

Users had to open multiple builders just to answer simple questions.
Weak visual hierarchy
Hidden deal contents
Similar-looking promotional tiles
High cognitive load
Users opened deals just to understand what was included.
Comparing offers required memory.
Price alone wasn't enough to communicate value.
High exploratory clicks
Frequent backtracking
Low decision confidence
INITIAL HYPOTHESIS
Body
03
THE CHALLENGE
Pressure pushed the project in a different direction.
Although research pointed toward foundational improvements, leadership and franchise partners were eager for a bold redesign that would visibly modernize the Deals experience and increase conversion as soon as possible.
To explore that direction, I expanded the design space.
Reviewing these concepts with CRO partners surfaced a critical challenge that supported my initial hypothesis:
The concepts generated excitement but not measurable learning.
Each redesign introduced too many variants to test.
Impossible to isolate what actually drives results.
THE REFRAME
Body
Large Hero
Bento
Carousel
Deal Propensity
04
THE PIVOT
Instead of choosing between a bold redesign and incremental improvements, I reframed the work as a phased experimentation strategy.
Each phase isolated one behavioral variable, allowing the team to learn what actually improved customer decision-making before layering in richer merchandising, branding, and personalization.
Phase 1 — Foundation
Improve decision confidence
Hierarchy
Deal summaries
Price prominence
Phase 2 — Discovery
Support exploration
Filters & sorting
Intent-based browsing
Discovery badges
Phase 3 — Brand Experience
Increase engagement
Rich merchandising
Campaign moments
Enhanced imagery
Phase 4 — Personalization
Scale relevance
Recommendations
Behavioral ranking
Adaptive modules
Title

05
EXECUTION
Phase 1: Foundation
Validate the foundation before scaling the experience.
Rather than redesigning the entire page, the first experiment isolated the foundational information architecture behaviors research suggested mattered most.
Winning Variant
A
Featured-first hierarchy

Prioritized high-value offers with clearer hierarchy and deal summaries to improve first-glance comprehension.
B
Discovery-led browsing

Prioritized horizontal exploration and exploratory interaction patterns.
C
High-density comparison

Increased browsing breadth through a denser scanning (double column) layout.
D
Hybrid discovery system

Combined carousel exploration with higher-density browsing behavior.
Objective
Validate whether improving deal comprehension increases customer decision confidence.
Hypothesis
If customers understand what a deal includes at first glance, they will require fewer exploratory clicks while maintaining (or improving) downstream conversion.
Variables Tested
Hierarchy
Price prominence
Deal summaries
Layout density
Building on the foundation.
Phase 1 proved that clarity improves decision confidence. The remaining roadmap focused on layering discovery, merchandising, and personalization without reintroducing cognitive load.
Foundation
Help users understand deals.
Discovery
Help users discover more without thinking harder.
Brand
Create emotional moments after trust has been established.
Personalization
Surface the right deal at the right time.
Winning Variant
A
Featured-first hierarchy

Prioritized high-value offers with clearer hierarchy and deal summaries to improve first-glance comprehension.
B
Discovery-led browsing

Prioritized horizontal exploration and exploratory interaction patterns.
C
High-density comparison

Increased browsing breadth through a denser scanning (double column) layout.
D
Hybrid discovery system

Combined carousel exploration with higher-density browsing behavior.
Objective
Validate whether improving deal comprehension increases customer decision confidence.
Hypothesis
If customers understand what a deal includes at first glance, they will require fewer exploratory clicks while maintaining (or improving) downstream conversion.
Variables Tested
Hierarchy
Price prominence
Deal summaries
Layout density
07
WHAT'S NEXT
↓ 0.76%
Exploratory CTR
Fewer exploratory interactions indicated stronger decision confidence and less comparison effort.
↑ 0.88%
Conversion Lift
Clearer deal comprehension translated into stronger downstream conversion.
↑ 0.86%
Revenue per Visitor
Customers generated more value despite spending less time exploring.
↓ 0.73%
Average Order Value
High-value offers naturally attracted more attention, creating an opportunity to improve merchandising distribution in future iterations.
Clarity changed customer behavior.
The winning variant reduced unnecessary exploration while improving downstream business performance. Rather than increasing engagement through richer merchandising, improving deal comprehension helped customers make faster, more confident decisions.
Deal contents hidden until entering the builder
Repeated exploratory clicks to compare offers
High cognitive effort before selecting a deal
Deal summaries surfaced directly within each tile
Faster value comparison during browsing
Higher decision confidence before checkout
06
PHASE 1 RESULTS
Title
Key Insights

Clarity changed behavior.
Start smaller than you think.
The biggest improvements came from strengthening the smallest building block of the experience.
Measure customer behavior, not just clicks.
Metrics rarely tell the full story in isolation. Lower exploratory clicks initially appeared negative, but customer behavior revealed this was due to greater customer confidence and reduced decision friction.
Build systems, not screens.
The most valuable outcome wasn't a single winning interface, it was an experimentation framework the team could continue learning from.
THINGS I BELIEVE NOW
08
REFLECTION
Next Project
X min.
X min.
X min.
X min.
X min.

Case Study 01
Pizza Hut - Deals Page Optimization
Redesigned Pizza Hut's deals page to improve promotion discovery, deal comprehension, and increase conversion.
CRO
A/B Testing
X min.
X min.
X min.
X min.
X min.

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Case Study 01
Pizza Hut - Deals Page Optimization
Redesigned Pizza Hut's deals page to improve promotion discovery, deal comprehension, and increase conversion.
CRO
A/B Testing
X min.
X min.
X min.
X min.
X min.

Case Study 01
AT&T Business - AI Incident Management
Rebuilding trust in AI-assisted self-service support during AT&T Business's ServiceNow transformation.
SaaS UX
B2B
X min.
X min.
X min.
X min.
X min.

Case Study 01
Styllo - Agentic Wardrobe Assistant
Designing an AI-native personal styling platform that optimizes for better wardrobe decisions, not bigger shopping carts.
Agentic AI
Fashion Tech
X min.
X min.
X min.
X min.
X min.

Case Study 01
Pizza Hut - Store Management System
Building the store operational system that enabled 6,800+ Pizza Hut restaurants to transition from a legacy platform to a modern operational ecosystem.
Design Systems
Enterprise UX
Next Project
X min.
X min.
X min.
X min.
X min.

Case Study 01
Pizza Hut - Deals Page Optimization
Redesigned Pizza Hut's deals page to improve promotion discovery, deal comprehension, and increase conversion.
CRO
A/B Testing
X min.
X min.
X min.
X min.
X min.

Case Study 01
AT&T Business - AI Incident Management
Rebuilding trust in AI-assisted self-service support during AT&T Business's ServiceNow transformation.
SaaS UX
B2B
X min.
X min.
X min.
X min.
X min.

Case Study 01
Styllo - Agentic Wardrobe Assistant
Designing an AI-native personal styling platform that optimizes for better wardrobe decisions, not bigger shopping carts.
Agentic AI
Fashion Tech
X min.
X min.
X min.
X min.
X min.

Case Study 01
Pizza Hut - Store Management System
Building the store operational system that enabled 6,800+ Pizza Hut restaurants to transition from a legacy platform to a modern operational ecosystem.
Design Systems
Enterprise UX
Next Project
X min.
X min.
X min.
X min.
X min.

Case Study 01
Pizza Hut - Deals Page Optimization
Redesigned Pizza Hut's deals page to improve promotion discovery, deal comprehension, and increase conversion.
CRO
A/B Testing
X min.
X min.
X min.
X min.
X min.

Case Study 01
AT&T Business - AI Incident Management
Rebuilding trust in AI-assisted self-service support during AT&T Business's ServiceNow transformation.
SaaS UX
B2B
X min.
X min.
X min.
X min.
X min.

Case Study 01
Styllo - Agentic Wardrobe Assistant
Designing an AI-native personal styling platform that optimizes for better wardrobe decisions, not bigger shopping carts.
Agentic AI
Fashion Tech
X min.
X min.
X min.
X min.
X min.

Case Study 01
Pizza Hut - Store Management System
Building the store operational system that enabled 6,800+ Pizza Hut restaurants to transition from a legacy platform to a modern operational ecosystem.
Design Systems
Enterprise UX