AIE-commerceAgentWorkflow
2025 / Product Designer / Creator Workflow
FalcoCut
An AI video editing platform optimized through data-driven iteration across creator workflows, interface consistency, and AI-assisted editing.
SimplifiedCore path
DataIteration basis
CreatorExperience focus
Video
AI editing workflow demo
Import, AI editing, preview, and export.
Images
Editor interface gallery
Timeline, asset library, parameter panel, and result preview.
Prototype
Interaction prototype
Validated key editing paths and state feedback.
01
Background
AI video editing tools need to serve both professional editors and lightweight creators. The old flow forced frequent switching between assets, AI generation, preview, and export.
02
My role
- Mapped creator tasks and workflow bottlenecks.
- Improved the editor, asset library, preview, and AI-assisted editing experience.
- Unified interface patterns to improve cross-module consistency.
03
Design process
- Used behavior data to identify conversion loss and interaction drop-offs.
- Restructured editing paths to reduce switching between parameters and previews.
- Validated timeline, AI suggestion, and result confirmation patterns through prototypes.
04
Outcome
- Created a clearer video editor and AI assistance state feedback.
- Built component and interaction standards for video tools.
05
Results
- Improved creator efficiency and interface consistency.
- Made AI-assisted editing confirmable and adjustable instead of a black-box flow.
- Supported future real video asset integration and commercial iteration.