Designing a Portfolio for Top Recruiters

Crafting a high-impact portfolio that aligns with recruiter and hiring manager expectations

User Feedback

3 peers

interviewed

Competitive Analysis

20+ top-tier

design leader portfolios

Efficiency

60%

By using Framer

LinkedIn
Key Takeaways
- Operational Scale: 4.2 million pallets verified in the first two periods.
- Loss Prevention: Forecasted $8.4 million in shrink reduction.
- Adoption: 98% storewide adoption of pallet scanning functionality.
Implemented a real-time scanning solution that improved pallet verification accuracy, reduced shrink, and increased operational efficiency across enterprise stores.
Skip to wireframes and flows
The UX Problem
Store associates lacked a real-time verification method, leading to errors and inefficiencies.

The lack of tracking visibility disrupted supply chain operations.
The Business Impact
Overstocking of incorrect inventory, increasing shrink risk.

Workarounds where store leaders sold misplaced inventory, causing financial losses.
Store associates previously relied on paper load sheets to verify pallet deliveries, leading to a manual and error-prone process that caused:
Problem Framing (Empathize & Define)
Early Explorations & Trade-offs
Manual Scanning for pallets with missing barcode label → Simple but still required associate effort.

Unload and stage time estimates to help associates better assess their productivity.

Storage ID for better accountability of cold chain pallets
Design & Execution (Prototype & Decision-Making)
Challenge Overcome: Driving Adoption
Initial Barrier: Store associates were hesitant to change workflows, citing time constraints and unfamiliarity.
Solution: working with SMEs and store leaders to conduct in-store pilots, refining user training materials and the UX to reduce scanning friction and adding audio cues for real-time correction without slowing down work.
Outcome: The adjustments led to 98% adoption, surpassing expectations.
Design & Execution (Prototype & Decision-Making)
Final UX/UI Screens & Walkthrough
Design & Execution (Prototype & Decision-Making)
User Feedback & Testing Rounds
3 rounds of usability testing revealed the need to track and quantify missing pallets.

Post launch user feedback surfaced the need to use pallet data to inform nightly stocking strategies.

Behavioral analytics insights identified gaps in scanning compliance.
Iterative Loop - Unmet Needs (Iteration & Impact)
Key Learnings & Strategic Influence
Leadership in Change Management:
Drove alignment between design, operations, and supply chain teams to ensure adoption.
Scaling & Future Considerations from User Research: Explore ways to dynamically update BOH using verified delivery data and automate claims.
LinkedIn
Key Takeaways
- Operational Scale: 4.2 million pallets verified in the first two periods.
- Loss Prevention: Forecasted $8.4 million in shrink reduction.
- Adoption: 98% storewide adoption of pallet scanning functionality.
Implemented a real-time scanning solution that improved pallet verification accuracy, reduced shrink, and increased operational efficiency across enterprise stores.
Skip to wireframes and flows
The UX Problem
Store associates lacked a real-time verification method, leading to errors and inefficiencies.

The lack of tracking visibility disrupted supply chain operations.
The Business Impact
Overstocking of incorrect inventory, increasing shrink risk.

Workarounds where store leaders sold misplaced inventory, causing financial losses.
Store associates previously relied on paper load sheets to verify pallet deliveries, leading to a manual and error-prone process that caused:
Problem Framing (Empathize & Define)
Early Explorations & Trade-offs
Manual Scanning for pallets with missing barcode label → Simple but still required associate effort.

Unload and stage time estimates to help associates better assess their productivity.

Storage ID for better accountability of cold chain pallets
Design & Execution (Prototype & Decision-Making)
Challenge Overcome: Driving Adoption
Initial Barrier: Store associates were hesitant to change workflows, citing time constraints and unfamiliarity.
Solution: working with SMEs and store leaders to conduct in-store pilots, refining user training materials and the UX to reduce scanning friction and adding audio cues for real-time correction without slowing down work.
Outcome: The adjustments led to 98% adoption, surpassing expectations.
Design & Execution (Prototype & Decision-Making)
Final UX/UI Screens & Walkthrough
Design & Execution (Prototype & Decision-Making)
User Feedback & Testing Rounds
3 rounds of usability testing revealed the need to track and quantify missing pallets.

Post launch user feedback surfaced the need to use pallet data to inform nightly stocking strategies.

Behavioral analytics insights identified gaps in scanning compliance.
Iterative Loop - Unmet Needs (Iteration & Impact)
Key Learnings & Strategic Influence
Leadership in Change Management:
Drove alignment between design, operations, and supply chain teams to ensure adoption.
Scaling & Future Considerations from User Research: Explore ways to dynamically update BOH using verified delivery data and automate claims.
LinkedIn
Key Takeaways
- Operational Scale: 4.2 million pallets verified in the first two periods.
- Loss Prevention: Forecasted $8.4 million in shrink reduction.
- Adoption: 98% storewide adoption of pallet scanning functionality.
Implemented a real-time scanning solution that improved pallet verification accuracy, reduced shrink, and increased operational efficiency across enterprise stores.
Skip to wireframes and flows
The UX Problem
Store associates lacked a real-time verification method, leading to errors and inefficiencies.

The lack of tracking visibility disrupted supply chain operations.
The Business Impact
Overstocking of incorrect inventory, increasing shrink risk.

Workarounds where store leaders sold misplaced inventory, causing financial losses.
Store associates previously relied on paper load sheets to verify pallet deliveries, leading to a manual and error-prone process that caused:
Problem Framing (Empathize & Define)
Early Explorations & Trade-offs
Manual Scanning for pallets with missing barcode label → Simple but still required associate effort.

Unload and stage time estimates to help associates better assess their productivity.

Storage ID for better accountability of cold chain pallets
Design & Execution (Prototype & Decision-Making)
Challenge Overcome: Driving Adoption
Initial Barrier: Store associates were hesitant to change workflows, citing time constraints and unfamiliarity.
Solution: working with SMEs and store leaders to conduct in-store pilots, refining user training materials and the UX to reduce scanning friction and adding audio cues for real-time correction without slowing down work.
Outcome: The adjustments led to 98% adoption, surpassing expectations.
Design & Execution (Prototype & Decision-Making)
Final UX/UI Screens & Walkthrough
Design & Execution (Prototype & Decision-Making)
User Feedback & Testing Rounds
3 rounds of usability testing revealed the need to track and quantify missing pallets.

Post launch user feedback surfaced the need to use pallet data to inform nightly stocking strategies.

Behavioral analytics insights identified gaps in scanning compliance.
Iterative Loop - Unmet Needs (Iteration & Impact)
Key Learnings & Strategic Influence
Leadership in Change Management:
Drove alignment between design, operations, and supply chain teams to ensure adoption.
Scaling & Future Considerations from User Research: Explore ways to dynamically update BOH using verified delivery data and automate claims.
LinkedIn
Key Takeaways
- Operational Scale: 4.2 million pallets verified in the first two periods.
- Loss Prevention: Forecasted $8.4 million in shrink reduction.
- Adoption: 98% storewide adoption of pallet scanning functionality.
Implemented a real-time scanning solution that improved pallet verification accuracy, reduced shrink, and increased operational efficiency across enterprise stores.
Skip to wireframes and flows
The UX Problem
Store associates lacked a real-time verification method, leading to errors and inefficiencies.

The lack of tracking visibility disrupted supply chain operations.
The Business Impact
Overstocking of incorrect inventory, increasing shrink risk.

Workarounds where store leaders sold misplaced inventory, causing financial losses.
Store associates previously relied on paper load sheets to verify pallet deliveries, leading to a manual and error-prone process that caused:
Problem Framing (Empathize & Define)
Early Explorations & Trade-offs
Manual Scanning for pallets with missing barcode label → Simple but still required associate effort.

Unload and stage time estimates to help associates better assess their productivity.

Storage ID for better accountability of cold chain pallets
Design & Execution (Prototype & Decision-Making)
Challenge Overcome: Driving Adoption
Initial Barrier: Store associates were hesitant to change workflows, citing time constraints and unfamiliarity.
Solution: working with SMEs and store leaders to conduct in-store pilots, refining user training materials and the UX to reduce scanning friction and adding audio cues for real-time correction without slowing down work.
Outcome: The adjustments led to 98% adoption, surpassing expectations.
Design & Execution (Prototype & Decision-Making)
Final UX/UI Screens & Walkthrough
Design & Execution (Prototype & Decision-Making)
User Feedback & Testing Rounds
3 rounds of usability testing revealed the need to track and quantify missing pallets.

Post launch user feedback surfaced the need to use pallet data to inform nightly stocking strategies.

Behavioral analytics insights identified gaps in scanning compliance.
Iterative Loop - Unmet Needs (Iteration & Impact)
Key Learnings & Strategic Influence
Leadership in Change Management:
Drove alignment between design, operations, and supply chain teams to ensure adoption.
Scaling & Future Considerations from User Research: Explore ways to dynamically update BOH using verified delivery data and automate claims.

Design Principles

Competitive Analysis: Researched industry best practices, reviewing portfolios of top design leaders at companies like Microsoft, Atlassian, and Meta.

Strategic Positioning: Defined how to best frame case studies to highlight both design thinking and leadership impact.

Cross-Disciplinary Integration: Ensured the portfolio effectively communicates business impact, strategic influence, and UX expertise.

Technical

Platform Evaluation: Compared Framer, Webflow, WordPress, and other tools for ease of use, flexibility, and maintainability.

Information Architecture & UX Writing: Structured sections, navigation, and content hierarchy to align with recruiter and hiring manager expectations.

How I got there: Design Strategy

Research-Driven Approach:

Interviewed peers, mentors, and recruiters to identify what decision-makers look for in a Senior Product Design Manager portfolio.
Conducted competitive analysis of top design leader portfolios to understand industry standards.

User-Centered Information Architecture:

Designed navigation around hiring flow expectations, ensuring an intuitive, guided journey.
Structured content to separate IC work from leadership impact, making both easily discoverable.

Iterative Prototyping & Testing:

Created interactive wireframes and tested layouts with design peers and hiring professionals.
Ensured the final design balances engagement, storytelling, and functional efficiency.

Scalable Content System:

Built a CMS-friendly setup for quick case study additions and minimal manual updates.
Ensured that text and images are easily editable without breaking design consistency.

Behavioral Analytics Integration:

Implemented tracking tools to monitor recruiter interactions and hiring engagement patterns.
Used data insights to refine call-to-action placement and content hierarchy.

Initial Results

Optimized for Hiring Managers & Recruiters

Simplified content navigation, reducing friction in accessing key work examples.
Ensured a clear differentiation between design execution and leadership contributions.

Efficiency & Scalability Gains

Quick case study updates without redesigning entire pages, ensuring ongoing portfolio relevance.
Reduced need for manual maintenance through a structured CMS framework.

Iterative Loop

🚀 This portfolio is not just a showcase—it's a product. Iterative improvements will continue driving engagement, clarity, and strategic positioning.

Impact Highlights

Operational Scale

4.2 million

pallets

User verified in first 2 months

Loss Prevention

$4 million

loss prevented

Across 8,000 mis-delivered pallets

Adoption

98% of stores

using the Night Crew tool

Adopted Pallet Scanning feature

Designing a Portfolio for Top Recruiters

Designing a Portfolio for Top Recruiters

Designing a Portfolio for Top Recruiters

Crafting a high-impact portfolio that aligns with recruiter and hiring manager expectations

User Feedback

Competitive Analysis

Efficiency

Key Takeaways

Key Learnings & Strategic Influence

Key Takeaways

Key Learnings & Strategic Influence

Key Takeaways

Key Learnings & Strategic Influence

Key Takeaways

Key Learnings & Strategic Influence

Design Principles

Technical

How I got there: Design Strategy

Initial Results

Iterative Loop

Impact Highlights

Operational Scale

Loss Prevention

Adoption

My Role & Contribution

Leadership

Hands-On

Problem Statement & Business Context

Solutions

How we got there: Design Strategy

Results & Impact

Iterative Loop - Unmet Needs