Redesigning Goodreads
Modern book discovery meets AI, emotion, and social delight.
I redesigned Goodreads as a solo project to explore how emotional UX, AI-powered onboarding, and social discovery could breathe life back into a stagnant but beloved platform. As both a UX designer and a lifelong reader, I saw this as more than a redesign it was a personal challenge to make Goodreads feel like magic again.
Role: UX/UI Designer and Researcher
Tools: Figma and Notion
Focus Areas: Discovery, onboarding, community engagement, mobile UX
The Challenge
Goodreads dominates the book-tracking space, but it’s outdated visually, socially, and functionally. For Gen Z readers, it fails to feel intuitive, inspiring, or even usable. The experience is:
Text-heavy, non-visual, and slow
Cluttered with legacy features
Lacking personalized or social discovery
Project Objectives
Since 80% of Gen Z readers surveyed discover books outside of Goodreads.
Make discovery feel intuitive and emotionally resonant.
Enable quick, expressive engagement through short-form reviews and mood tagging.
Create a modern, minimal mobile-first UI with clear visual hierarchy.
Streamline onboarding by leveraging AI and visual inputs.
Market Insight
Streamline onboarding by leveraging AI and visual inputs
Make discovery feel intuitive and emotionally resonant
Enable quick, expressive engagement through short-form reviews and mood tagging
Create a modern, minimal mobile-first UI with clear visual hierarchy
UX Step 1: Understanding the Current Workflow
We began by observing how onboarding teams, analysts, and clients interacted with the current tool. We mapped core flows like license creation, document uploads, and deadline management. Each had major breakpoints due to manual steps, lack of contextual information, and outdated interfaces.
UX Step 2: Pain Point Discovery & Research
Led interviews and workshops with filing experts, PMs, and QA to map user flows and identify 4 core issues:
Unclear Rules: Frequent jurisdiction updates created documentation confusion
Manual Work: No guidance or autofill, leading to errors in license creation
Ownership Gaps: Unclear license ownership across teams
Siloed Access: No shared docs or consistent team access
Working on BL Hub showed me how legacy enterprise systems can evolve through modular design thinking, stakeholder inclusion, and role-driven UX. Empowering self-managed users isn't just a product upgrade—it’s a design mindset shift that puts clarity, autonomy, and smart guidance at the core.
This was also a lesson in scalability: designing for workflows that span thousands of licenses across dozens of jurisdictions means thinking deeply about context, edge cases, and enterprise governance needs.
Rethinking a Legacy Licensing Interface for a Self-Managed Compliance Experience
The Challenge
Bringing AI into legacy compliance workflows
Wolters Kluwer’s insurance research teams relied on manual processes to navigate complex legal citations. I joined as a UI/UX intern to help redesign this system with an AI-powered assistant for NLP-based search and prompt suggestions.
Key challenges included:
Legacy UI not built for query-based search
Low trust in AI without transparent validation
No structured taxonomy for prompts or jurisdictions
High regulatory risk if AI outputs were inaccurate
My Role & Responsibilities
As a UI/UX intern , on this project I was tasked with:
Designing a Prompt Library to support creation, editing, filtering, and tagging of research prompts
Exploring upsell opportunities through integrated premium citation and jurisdictional features
Building interfaces for advanced filtering, including Jurisdiction, Line of Business, Book Type, Citation Status, and Relevancy
Crafting layouts to present dense legal content in a way that builds user trust—clear, contextual, and easy to navigate
Collaborating with subject matter experts (SMEs) to translate regulatory workflows into usable design components.
The Challenge
Bringing AI into legacy compliance workflows
Wolters Kluwer’s insurance research teams relied on manual processes to navigate complex legal citations. I joined as a UI/UX intern to help redesign this system with an AI-powered assistant for NLP-based search and prompt suggestions.
Key challenges included:
Legacy UI not built for query-based search
Low trust in AI without transparent validation
No structured taxonomy for prompts or jurisdictions
High regulatory risk if AI outputs were inaccurate
My Role & Responsibilities
As a UI/UX intern , on this project I was tasked with:
Designing a Prompt Library to support creation, editing, filtering, and tagging of research prompts
Exploring upsell opportunities through integrated premium citation and jurisdictional features
Building interfaces for advanced filtering, including Jurisdiction, Line of Business, Book Type, Citation Status, and Relevancy
Crafting layouts to present dense legal content in a way that builds user trust—clear, contextual, and easy to navigate
Collaborating with subject matter experts (SMEs) to translate regulatory workflows into usable design components.
UX Step 1: Understanding the Current Workflow
We began by observing how onboarding teams, analysts, and clients interacted with the current tool. We mapped core flows like license creation, document uploads, and deadline management. Each had major breakpoints due to manual steps, lack of contextual information, and outdated interfaces.
UX Step 2: Pain Point Discovery & Research
Led interviews and workshops with filing experts, PMs, and QA to map user flows and identify 4 core issues:
Unclear Rules: Frequent jurisdiction updates created documentation confusion
Manual Work: No guidance or autofill, leading to errors in license creation
Ownership Gaps: Unclear license ownership across teams
Siloed Access: No shared docs or consistent team access
Working on BL Hub showed me how legacy enterprise systems can evolve through modular design thinking, stakeholder inclusion, and role-driven UX. Empowering self-managed users isn't just a product upgrade—it’s a design mindset shift that puts clarity, autonomy, and smart guidance at the core.
This was also a lesson in scalability: designing for workflows that span thousands of licenses across dozens of jurisdictions means thinking deeply about context, edge cases, and enterprise governance needs.