Wrtn Productivity Features
At Wrtn, I worked on the AI platform, which has grown to over 5 million monthly active users. The following two case studies showcase some of the key product challenges I tackled while designing and launching these experiences.
Pick your language:
Case Study 1
AI Summarizer
Case Study 2
Text Humanizer
Case Study #1
Beyond Fragmented Workflows: UI/UX Design for a Multi-Modal AI Summarizer
Team
1 PM, 1 Designer, 3 Engineers
Role
Sole Product Designer
Timeline
Aug - Sep 2025
Platform
Web, iOS, Android
Overview
Designed an integrated productivity service that lets users easily collect and summarize scattered information—such as YouTube videos, documents, and web articles—in one workspace, while allowing them to freely edit and repurpose the content through natural conversations with a friendly AI assistant.
In this project, as a sole product designer, I structured a cohesive information flow for various input types and designed the interaction model that guides users to refine their results through intuitive conversation.
The Problem
Clearly defined the structural limitations and psychological barriers users face when consuming long-form video and document data into three card components.
Tool Fragmentation
Users face severe friction because they have to switch between entirely separate sites and tools depending on whether they are watching a YouTube video, reviewing a PDF report, or reading a news article.
Cognitive Overwhelm
Users turn to summarizers to escape heavy reading. However, when the AI responds with another dense wall of text lacking hierarchy, it ironically triggers the exact same cognitive fatigue they tried to avoid.
Prompt Anxiety
Standard AI chat boxes feel rigid and mechanical. When users want to subtly tweak a summary, they often experience 'prompt anxiety,' struggling to figure out the exact robotic commands needed to get the right output.
User Research
I analyzed real user voices to capture their frustration with rigid prompt interfaces and unorganized text layout, transforming these user paint points into concrete design opportunities.
"The AI summary is fine, but it's still so long and rigid that I end up highlighting and making my own notes anyway. It defeats the whole purpose of using a shortcut tool."
Users do not just need a shorter character count; they need immediate, actionable visual structures they can use right away.
"I never know what to type in the prompt box to make the tone softer or change it into a tweet. I'm tired of searching for prompt guide cheat sheets every single time."
We needed to shift the command-line paradigm into fluid conversational interactions and intuitive preset shortcuts to restore the user's sense of control.
Insights
This section highlights how the core insights discovered during user research were directly translated into key product features.
Unified Input Hub
To prevent users from dropping off across different tools, it was critical to create a single, unified interface that could absorb YouTube, Documents, Websites, and Text all in one place.
Visual Hierarchy Over Raw Text
Users want screens where the layout itself has already chunked and categorized the data—like timelines or bullet highlights—rather than being faced with plain, dense paragraphs.
Empathetic Agent
Instead of forcing users to stare at an empty input box and stress over commands, the interface needs an assistant with an approachable persona to bridge the communication gap.
Prototyping
The Solution
I designed Image Studio as a standalone product surface and unified image generation, transformation, and library management into a single workflow.
4-Format Integrated Input Hub
Reflected a 4-Format Integrated Input Tab Design using a clean tab layout, enabling users to paste and process any content format instantly within one workspace.
Cognitive Multi-Preset Layout
Placed a Multi-Preset Output Layout at the top of the results area to immediately relieve reading fatigue through visual chunking.
Conversational AI Character Panel
Integrated a warm, character-driven 'Roi' Interaction Panel on the right or when users request revision, guiding users to co-create and refine text through zero-pressure conversations.
Impact
~4x Faster
Task Completion Speed
-35%
Drop-off During AI Processing
Reflection
Bridging Technical Capabilities with Generatve UX
I realized that no matter how powerful an AI engine is, it fails to deliver a great experience if the outputs lack visual hierarchy or feel intimidating to control. This project reinforced that a product designer’s ultimate role is to humanize complex technical capabilities into intuitive, context-aware user flows.
The Importance of Empowering the User
Interfaces that force users to passively accept one-way AI outputs quickly lead to disengagement. This project was a valuable opportunity to learn how critical it is to grant users a sense of agency—allowing them to feel in control as they easily customize and co-create with the AI via preset shortcuts and organic conversations.
Case Study #2
Revolutionizing Generative Text UX Through Advanced Sentence Control Structures
Team
1 PM, 1 Designer, 3 Engineers
Role
Sole Product Designer
Timeline
Sep-Oct 2025
Platform
Web, iOS, Android
Overview
Text Humanizer is a feature that transforms AI-generated text into more natural, human-sounding writing while preserving its original meaning.
As generative AI becomes a common tool for drafting content, many users still spend significant time editing outputs due to repetitive phrasing, overly polished sentence structures, and a lack of personal voice.
Text Humanizer helps users refine AI-generated content by reducing recognizable AI patterns and adapting the writing style to better fit their intended context.
The Problem
While generative AI significantly improved writing speed, many users struggled to use the output without additional editing.
The writing felt overly polished and robotic
Similar phrases and transitions appeared repeatedly
User Research
Interviews with students and working professionals revealed that AI was primarily used to generate first drafts.
"Similar phrases and transitions appeared repeatedly"
"I can't trust the process of AI"
Participants consistently emphasized one requirement: "Make it sound like a real person wrote it." Also, users who had experience with paraphrasing tools often expressed concerns about losing meaning during rewrites.
User Research
The research revealed that users were not primarily trying to bypass AI detection.
Instead, they wanted:
Natural-sounding writing
Preserved
meaning
Transparency in what changed
Rather than rewriting everything, Text Humanizer needed to act as an intelligent editing layer that improves readability while respecting the author's original intent.
The Solution
Make changes visible
Instead of showing only the final output, we highlighted modified phrases so users could understand and review the changes.This increased transparency and helped users maintain confidence in the final result.
Adjustable rewrite strength
Different writing tasks required different levels of intervention. To support this, we introduced three rewrite modes: Light, Balanced, Strong
Users could choose how aggressively the text should be transformed depending on their goal.
Support different writing tones
Because natural writing varies by context, we introduced multiple tone options: Default, Friendly, Formal, Academic. This allowed users to adapt the same content to different audiences and situations.
Preserve important terms
Users expressed strong concerns about changing brand names, technical terminology, and key concepts.To address this, we introduced a keyword preservation feature that protects critical terms during rewriting.
Impact
Reduced friction in the writing workflow
Previously, users often moved between multiple tools to generate, edit, and finalize content By integrating Humanizer directly into the writing workflow, users could complete the entire process without leaving the product.
Increased trust through transparency
Making edits visible helped users better understand how their content changed. Rather than feeling replaced by AI, users felt more involved in the editing process.
Reflection
This project reinforced an important lesson: People do not want AI to take ownership of their writing.
They want AI to help them express their ideas more naturally. The most valuable editing experience is not one that completely rewrites content, but one that preserves intent while improving clarity and authenticity.
Looking ahead, I see an opportunity to move beyond generic rewriting and support personalized writing styles that reflect each user's unique voice.
