Vydeo

Motion design is one of the most persuasive forms of communication a product team can produce. A well-crafted motion graphic can communicate a feature, a workflow, or a product value proposition in 15 seconds in a way that a paragraph can't match in 150 words. It gives information rhythm, hierarchy, and emotional weight.

For most people who need motion design: founders explaining their product, marketers launching a campaign, product teams announcing a feature, the bottleneck isn't creativity. It's execution. Traditional motion design tools ask you to think in timelines, keyframes, layers, animation curves, transitions, and export settings. That's the wrong starting point for someone who just needs to communicate an idea.

The design challenge this creates is more interesting than it first appears. Building a text-to-video generator is a generation problem. Building a tool where users feel confident directing the output: describing what they want, understanding what the AI understood, refining toward the right result is a product design problem. That's the work Vydeo needed done.

The real design problem was not just generation. It was helping users feel confident directing the output.

Vydeo is an AI motion design platform that lets users create AI-powered videos and motion graphics by chatting with AI. Users don't manage a timeline or arrange layers, they describe what they want to create and the AI interprets that creative direction into motion graphic output.

This changes the UX problem fundamentally. Instead of designing a traditional editor with dozens of controls, the experience needs to support a conversational creation flow where each step builds from what the user said.

Most AI video tools generate footage. They're powerful, but they're still production-oriented aimed at users who already know what kind of output they're building toward. Vydeo's opportunity is more specific and more human: help users create structured motion graphic designs through conversation.

The product doesn't sit in one category cleanly. It draws from AI generation, motion design tooling, creative direction, and lightweight editing, but its actual value is in making those capabilities feel conversational and accessible, not just capable.

The most common user entry point isn't "I want to learn motion design", it's a specific communication need: announce a feature, explain a product, launch a campaign, make a concept feel real. The user has a clear goal and no clear path from here to there.

Chat-based creative tools surface a specific UX problem: the blank message box is not enough. Users need help knowing what to describe, how specific to be, and what the AI is capable of interpreting. Too vague and the output misses the intent. Too technical and the experience stops feeling conversational.

As Product Designer / Data Systems Collaborator, I led the end-to-end design of user-facing features for Vydeo's interactive platform. My work focused on making the experience clearer, more usable, and easier to evolve as the AI interface matured in translating product needs and evolving AI capabilities into interface patterns users could actually work with.

This wasn't just about making screens look polished. It was about figuring out where the workflow broke down for users, which AI states needed visible feedback, and how to structure a creative conversation that didn't require users to think like prompt engineers.

To better understand the emerging AI motion design space, I reviewed similar products and how they framed workflows, templates, prompting, previewing, and export. The goal wasn't to copy category patterns, it was to identify what users had come to expect, and where those expectations created design obligations for Vydeo.

The research surfaced consistent patterns across the category. Users benefit from outcome-based starting points knowing what they can make before they know what to describe. Templates reduce creative anxiety because they give users something to react to rather than build from scratch. Prompting needs guidance because most users don't know how to give an AI useful creative direction without being taught. And generation needs preview loops because seeing partial motion is very different from seeing a finished result.

Building a chat-based creative tool creates a specific set of design problems that don't exist in traditional editors. These five challenges defined the design work and each one had real consequences for how users could trust, use, and iterate with the product.

The strategy was to treat chat as the beginning of the workflow, not the whole workflow. A user should be able to talk to the AI naturally, but the interface should provide structure around creative goal, format, audience, tone, visual style, preview, refinement, and export. Chat opens the door. The product carries users through it.

The ideal flow wasn't a single chat thread from input to output. It was a layered experience where conversation started the direction, a generated brief confirmed it, motion options expressed it, a preview workspace refined it, and an export moment made it reusable.

Each of these patterns addresses a specific failure point in the chat-based creation flow. Together, they form the interface layer between what a user says and what they see on screen.

The design work helped clarify how Vydeo could make AI motion design feel more approachable through conversation, guided creative direction, preview states, and refinement loops. By shaping the experience around user intent instead of technical editing controls, the product could help users move from idea to motion with more confidence.