Streamlining content collaboration for an AI-powered LinkedIn platform
Overview
Maetel is a B2B marketing platform that helps users generate LinkedIn content through AI-guided interviews and reach potential customers through targeted outreach messaging.
During the content creation process, feedback and revision requests were scattered across external channels like KakaoTalk and email — making it difficult to track changes and maintain a clear workflow. This project involved designing a new in-platform collaboration system alongside a broader product redesign.
Key features included conversation-based feedback, inline text highlight comments, a LinkedIn preview, and an outreach dashboard.
My Contribution
As a UX/UI Design Intern, I worked across both product design and visual design throughout the project.
On the product side, I designed the client-facing interface and the internal admin panel, including the in-platform collaboration workflow and key interaction features.
On the visual side, I created supporting design assets including posters, service brochures, presentation decks, and LinkedIn banners for clients.
비핸스 링크 넣을까?
PROJECT TYPE
UX Design Internship
ROLE
UX/UI Design Intern
SERVICE
B2B SaaS Platform
DURATION
2025.01 — 2025.06
ABOUT THE PRODUCT
What is Maetel?
Maetel is a platform designed to support B2B sales and content marketing through LinkedIn.
Users share their ideas and experiences through AI-guided interviews, which are transformed into LinkedIn content.
Before publishing, content is reviewed and refined directly within the platform.
Once published, the content becomes part of outreach activities, where users send messages to potential customers
to start conversations. Together, these features make Maetel an end-to-end platform for LinkedIn-driven B2B marketing.
PROBLEM
Content Feedback Was Scattered Outside the Platform
In the existing Maetel service, content feedback and revision requests were exchanged through external channels such as KakaoTalk and email, rather than within the platform itself.
This led to a number of pain points:
Feedback was fragmented across multiple channels with no central place to track it.
It was unclear which specific parts of the content required revision.
The overall progress of the content creation process was difficult to monitor.
For text-based content especially, pinpointing exactly which sentences needed changes was a challenge.
Altogether, this made the collaboration between the operations team and clients unnecessarily inefficient.
Before redesign — the platform was limited to the interview feature
WORKFLOW REDESIGN
Redesigning the Content Creation Workflow
The original service structure was centered around the interview feature.
Users could generate content ideas through AI interviews, but the subsequent revision and collaboration process happened through external messaging channels. To solve this, we redesigned the workflow to bring the entire content creation process into the platform.
Previous Workflow
Interview → Content Draft → KakaoTalk / Email Feedback → Revision → Publishing
Redesigned Workflow
Interview → Content Draft → Review Request → Highlight Feedback → Revision → Publishing → Outreach
Based on this workflow, I redesigned the content management interface and collaboration features.
Before redesign — the platform was limited to the interview feature
KEY INTERACTION DESIGN
Content Collaboration System
We designed a dedicated content management page to bring the entire content creation process into the platform.
Users can track their content's progress through clearly defined status stages:
Draft: The initial writing stage. No status label is shown.
Review Requested (검토 요청): Content has been submitted for review by the operations team.
Ready to Publish (발행 대기): Content is approved and ready for publishing.
Published (발행 완료): Content has been successfully posted on LinkedIn.
These status labels allow users to quickly understand where their content stands in the workflow.
Filtering options were also introduced so users can view content by status and manage multiple pieces more efficiently.
The system also supports ToFu, MoFu, and BoFu labels to help categorize the target audience for each post.
Content management page and status label system
Request Interaction
Conversation-Based Feedback Interface
Previously, content revision requests were shared through external channels such as
KakaoTalk or email, making it difficult to track feedback and maintain conversation context.
To address this, I designed a conversation-based feedback interface directly within the content page.
Users can leave comments or revision requests in a message format, and the conversation history is stored alongside the content — allowing both the operations team and clients to manage feedback seamlessly within the platform.
Highlight Feedback
Precise Text-Level Feedback
During the draft stage, users can highlight specific parts of the text and leave feedback directly on those sections.
This makes it easier to pinpoint exactly which sentences need revision, improving the overall accuracy of feedback throughout the collaboration process.
Text highlight and conversation-based revision request
LinkedIn Preview
Previewing Content in Context
A preview mode was provided so users can see how their content will appear on LinkedIn before publishing.
During the draft stage, users can switch between Text View for editing and Preview View
to check the mobile LinkedIn layout.
Once the content moves to the review stage, users can preview the post in both
mobile and desktop formats to get a more accurate sense of the final result.
When the publish request is submitted, a preview modal appears — giving users one final chance to review the post before it goes live.
LinkedIn preview — mobile view
Outreach Management
Outreach Message Management Dashboard
After content is published, Maetel supports LinkedIn-based outreach activities
to help users turn content into business opportunities.
Users can send messages to potential leads, start conversations, and track their outreach progress —
all from a centralized message dashboard.
The dashboard provides an overview of:
Sent messages and reply status
LinkedIn profile information of each lead
Message activity filtered by date
This gives users a clear view of their outreach activity and helps them manage conversations more efficiently.
FINAL PRODUCT
Content Collaboration, Now Within the Platform
With the newly designed collaboration system, the entire content lifecycle—from drafting and revision to final publishing—is now integrated into a single platform.
By introducing precise text-level feedback and transparent status management, I transformed a fragmented collaboration process between the operations team and clients into a clearer, more intuitive workflow. Furthermore, the outreach dashboard empowers users to monitor messaging activity and manage leads effectively, positioning Maetel as a comprehensive solution that supports the full journey from content creation to business outreach.
REFLECTION
Collaboration and Scalability Learned Through a Fast-Paced Product Development Cycle
This project gave me firsthand experience of how design evolves to keep pace with rapid product development in a B2B SaaS environment. Joining the team at a rebranding milestone, I helped establish the foundation of the design system and structured screens at the component level — gaining a tangible sense of how early architectural decisions shape a product's scalability and maintainability.
Working closely with product managers and developers within fast-moving sprint cycles, I experienced the full journey from idea to design to shipped feature. Through this process, I learned a collaborative approach centered on finding the best achievable UX within real constraints — whether time, technical feasibility, or both.
Designing both the client-facing interface and the internal admin panel in parallel, I developed a product design perspective that balances user experience with operational efficiency — understanding that great design serves not only the end user, but also the teams running the service.