Sell Options
Redesigning lululemon Like New's resale supply experience to build trust, set expectations, and help guests choose the right selling option.
View the live design

Project Overview
Considerations & Goals
Mail-In Research
Soltutions
Rather than redesigning the entire experience, I focused on high-leverage moments where clearer expectations and stronger decision support could improve trust and conversion.
Options Overview
The introduction of a third selling option created choice overload. Guests needed a quick way to compare effort, payout, and timing before choosing a path.

The original entry point offered two options with no way to compare them.
Guests had to click into each one separately just to understand what they'd earn or how long it would take.

Surfaced earnings, timing, and value propositions up front to make the option hierarchy easier to understand.
Visually prioritized preferred business outcomes and the recommended option through hierarchy cues.
Offered options to start each flow or learn more, while making the recommended path easier to spot.
Trade-In Landing
If a user chose to learn more about trade-in, we wanted to explain the difference between mail-in and in-store trade-in, and clearly describe the processes and potential earnings.

Process tabs
Guests wanted greater visibility into what happens after submitting a trade-in, so I introduced process tabs to break the journey into clear, digestible steps.
Payout comparison table
Research revealed uncertainty around the value of participating. A payout comparison helps guests understand the potential return and evaluate which trade-in method to use.
Ineligible items
Guests were often unsure whether their items qualified for trade-in. Surfacing eligibility requirements earlier helps prevent frustration.
Value messaging
For users who still felt unsure after scrolling, I added comparison cards and a nudge toward the recommended mail-in option.

Sell Landing
Research revealed that uncertainty around potential earnings made it difficult for guests to determine whether selling was worth the effort.
If a user chose to learn more about how P2P selling works, there was no information on how much they might earn.
I introduced estimated earnings ranges based on comparable items and highlighted additional earnings available through lululemon credit, helping guests compare value and understand the key proposition that sets Like New apart from other resale platforms.
Mail-In Flow
Within the intake flow, our goal shifted from decision-making to reassurance. We focused on reducing uncertainty, improving scanability, and setting clear expectations around fees and timelines.




Impact
Increased Adoption of Preferred Channels
Increased Flow Initiation
Improved Flow Completion
Reduced Support Burden
Sell Options
Redesigning lululemon Like New's resale supply experience to build trust, set expectations, and help guests choose the right selling option.
View the live design

Project Overview

Considerations & Goals
Mail-In Research
Soltutions
Rather than redesigning the entire experience, I focused on high-leverage moments where clearer expectations and stronger decision support could improve trust and conversion.
Options Overview
The introduction of a third selling option created choice overload. Guests needed a quick way to compare effort, payout, and timing before choosing a path.


Surfaced earnings, timing, and value propositions up front to make the option hierarchy easier to understand.
Visually prioritized preferred business outcomes and the recommended option through hierarchy cues.
Offered options to start each flow or learn more, while making the recommended path easier to spot.
Trade-In Landing
If a user chose to learn more about trade-in, we wanted to explain the difference between mail-in and in-store trade-in, and clearly describe the processes and potential earnings.

Process tabs
Guests wanted greater visibility into what happens after submitting a trade-in, so I introduced process tabs to break the journey into clear, digestible steps.
Payout comparison table
Research revealed uncertainty around the value of participating. A payout comparison helps guests understand the potential return and evaluate which trade-in method to use.
Ineligible items
Guests were often unsure whether their items qualified for trade-in. Surfacing eligibility requirements earlier helps prevent frustration.
Value messaging
For users who still felt unsure after scrolling, I added comparison cards and a nudge toward the recommended mail-in option.
Sell Landing
Research revealed that uncertainty around potential earnings made it difficult for guests to determine whether selling was worth the effort.
If a user chose to learn more about how P2P selling works, there was no information on how much they might earn.
I introduced estimated earnings ranges based on comparable items and highlighted additional earnings available through lululemon credit, helping guests compare value and understand the key proposition that sets Like New apart from other resale platforms.
Mail-In Flow
Within the intake flow, our goal shifted from decision-making to reassurance. We focused on reducing uncertainty, improving scanability, and setting clear expectations around fees and timelines.




Impact
Increased Adoption of Preferred Channels
Increased Flow Initiation
Improved Flow Completion
Reduced Support Burden
Sell Options
Redesigning lululemon Like New's resale supply experience to build trust, set expectations, and help guests choose the right selling option.
View the live design


Project Overview

Considerations & Goals
Mail-In Research
Solutions
Rather than redesigning the entire experience, I focused on high-leverage moments where clearer expectations and stronger decision support could improve trust and conversion.
Options Overview
The introduction of a third selling option created choice overload. Guests needed a quick way to compare effort, payout, and timing before choosing a path.

The original entry point offered two options with no way to compare them.
Guests had to click into each one separately just to understand what they'd earn or how long it would take.
Surfaced earnings, timing, and value propositions up front to make the option hierarchy easier to understand.
Visually prioritized preferred business outcomes and the recommended option through hierarchy cues.
Offered options to start each flow or learn more, while making the recommended path easier to spot.

Trade-In Landing
If a user chose to learn more about trade-in, we wanted to explain the difference between mail-in and in-store trade-in, and clearly describe the processes and potential earnings.

Process tabs
Guests wanted greater visibility into what happens after submitting a trade-in, so I introduced process tabs to break the journey into clear, digestible steps.
Payout comparison table
Research revealed uncertainty around the value of participating. A payout comparison helps guests understand the potential return and evaluate which trade-in method to use.
Ineligible items
Guests were often unsure whether their items qualified for trade-in. Surfacing eligibility requirements earlier helps prevent frustration.
Value messaging
For users who still felt unsure after scrolling, I added comparison cards and a nudge toward the recommended mail-in option.
Sell Landing
Research revealed that uncertainty around potential earnings made it difficult for guests to determine whether selling was worth the effort.
If a user chose to learn more about how P2P selling works, there was no information on how much they might earn.
I introduced estimated earnings ranges based on comparable items and highlighted additional earnings available through lululemon credit, helping guests compare value and understand the key proposition that sets Like New apart from other resale platforms.

Mail-In Flow
Within the intake flow, our goal shifted from decision-making to reassurance. We focused on reducing uncertainty, improving scanability, and setting clear expectations around fees and timelines.




Impact
Increased Adoption of Preferred Channels
Increased Flow Initiation
Improved Flow Completion
Reduced Support Burden