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[Case 06]

Enabled users to own and trade exclusive NFT watch faces.

Crypto & Blockchain Technology

WatchWise: Bringing NFT Ownership to Smartwatch Watch Faces

A platform for owning and trading unique smartwatch watch faces.

[Project Overview]

WatchWise is an NFT-based watch face app where users can buy, own, use, and resell unique smartwatch watch faces. It offers a built-in marketplace for trading NFT watch faces and lets users apply their purchased designs directly to devices like the Apple Watch.


[Problem Statement]

Smartwatch users lacked truly unique watch faces and had no way to own or resell digital designs. They needed a platform that offered exclusive, tradeable watch faces with real digital ownership.

[Industry]

Crypto & Blockchain Technology

[My Role]

Product Designer

[Platforms]

Ios and watch ios

[Timeline]

2021

View Live Project

View Live Project

[Persona]

Jhon Roberts

Marketing Manager

Age: 29

Location: New York City

Tech Proficiency: Moderate

Gender: Male

[Goal]

Quickly complete purchases without interruptions.

Access accurate product details and a seamless payment process.

Trust the platform with his payment and personal information.

[Frustrations]

Quickly complete purchases without interruptions.

Access accurate product details and a seamless payment process.

Trust the platform with his payment and personal information.

[Process]

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[Outcome]

25% increase in checkout completion rates.
30% reduction in cart abandonment on mobile devices.
30% reduction in cart abandonment on mobile devices.

[Key Learnings]

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

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