Duration
Sep 2025 ~ Dec 2025
Role
UI/UX Design intern
For
AI driven DDQ Saas platform
Collaborators
Joshua Park, Kyuri kim, Shinhye Park, Laura Ahn, Jenn Choi, Robin
OVERVIEW
Norric: AI workflow in finance industry that automates manual grunt works and eliminates technical bottlesnecks
MY ROLE
UI/UX Intern
As a UI/UX intern at Norric, I designed landing pages for pretotyping phases of the company. I mainly worked on establishing brand visuals in slide decks and visual resources. Additionally, I revitalized company's due diligence questionnaire product driven by LLM AI that allows various levels of investors to streamline their investing strategies and decision making.
Background Information
HIGH LEVEL PROBLEM / CHALLENGE
Lack of industry’s interest in innovating software to catch up with evolving market
01. Overview
Main features and their purposes
HIGH LEVEL PROBLEM / CHALLENGE
Why is this an important problem to address?
Innovation bottleneck
Little alignment and collaborations
Increasing time-to-value
forcing manual workarounds
Unreliable reporting
SOLUTION
AI *DDQ Platform
*Due Dilligence Questionnaire
Home Dashboard
Discover the dashboard with projects and integrations
Document Editor
Upload documents of any type and edit simultaneously
Project Page
Orgnize questions and sections within a project
Dataroom
Oversee file data in onp page with live status
AI Questionnaire
Collaborate, comment, and answer questions with an agent
02. Research
Define, Narrow, and Explore
SECONDARY RESEARCH
Market:
Private Market Ecosystem
There is no central platform to streamline the process of fulfililng demands of investments due to scattered, private, and exclusive chains of brokers and dealers in the market
SECONDARY RESEARCH
Stakeholder Interactions
deliver strong fund performance
access quality deal flow.
Long-term stable returns, risk diversification
access to top-performing funds.
Acquire quality assets at favorable pricing
Reduce risk
Deploy capital quickly.
Data flows are bidirectional, fragmented, and inconsistent - causing friction across the ecosystem
SECONDARY RESEARCH
Empathy Map:
John - Limited Partner
SECONDARY RESEARCH
Empathy Map:
Maggie - General Partner
SECONDARY RESEARCH
Empathy Map:
Maggie - General Partner
SYNTHESIS: SECONDARY RESEARCH
Insights from Empathy maps
A standardized way to view information so all stakeholders and firms share the same level of visibility
Seamless integration with existing siloed tools like Excel, VDRs, and CRMS
A secure platform where sensitive workflows and tasks can be performed with strong information protection
Fast, streamlined communication built directly into the system
Reliable historical records of data and documents for transparency, auditing, and continuity
How might we...
Create an aggregated, structured, and accessible route to liquidity of private assets in the financial ecosystem?
INTERVENTION / IDEATION
AI DDQ Intelligence Engine
Why this solution?
IDEATION
Design References
03. Design Process
Ideating, testing, and iterating
ITERATION I
AI Agent
ITERATION I
Organized Files
ITERATION I
Editing Shortcut
ITERATIONS
Navigation bar
1st iteration
2nd iteration
3rd iteration
4th iteration
Design System
Defining anatomy, properties, layout, and spacing
04. Final Designs
FINAL DESIGN
All in one view dashboard with integrations to other SaaS tools.
FINAL DESIGN
Pop up designs with overlays
FINAL DESIGN
Deck of data sheets being processed by analysts and AI
FINAL DESIGN
Iterations on AI interactions and questionnaire tabs
FINAL DESIGN
AI Workflow
Take Aways
TAKING A STEP BACK
What’s next steps?
Priority list
Evaluate what features are needed the
most for further developments
User Interviews
Taking KPIs to overtake competitive platforms
TAKING A STEP BACK
Reflections + Takeaways
Modular design approach
Establishing designs for components
made subsequent iteration easier and quicker
Iterative design approach
Going through rounds of iterations helped
me find flaws and improvements with
less contemplation
