Nextfortune
2024
2 Weeks
Internal CMS System
SaaS Platform
Chatroom CMS
AI Laverage
From identifying user pain points to leveraging AI for testing, this project improved productivity and clarity in internal CMS use.
專案背景
Background
CHATROOM is a streaming widget used to enhance user retention on customer websites. As the business has grown, manually managing streaming data has become unsustainable. This CMS optimization project focuses on automating the import of all streaming data from an API, allowing internal staff to easily select and edit streams on a new, dedicated page.
策略
Process
What I did:
Internal interviews + existing workflow mapping → feature planning and flow design → high-fidelity prototyping → usability testing → final feature and design decisions.
Conducting user testing with AI tool.
At this stage, I use ChatGPT as a assistance to generate possible user testing paths and identify key details.
Then I sketched out the prototypes and the testing scripts based on possible context. Therefore, we get to observe how users interact with the prototype, how they complete the missions and how they feel about the new feature.
After this, we decided to cut off some complex design and simplify the components' state as well.
細節
Details
The key initiatives we've launched:
An effortless way to manage streamings, allowing them to edit settings for multiple streams simultaneously.
Adding appropriate filters makes the user flow to align more closely with existing workflow and user habits.
Showing clear color label and sufficient data on confirmation popup to avoid accidental editing error.
成果
Impact
Work time reduce by 85 %.
A new interface and workflow that reduced manual workload and significantly improved day-to-day operational efficiency.