Vimeo

Ask Vimeo AI

Transforming video knowledge extraction to unlock billions of minutes of untapped knowledge

Context

Mobile Strategy

For Vimeo's "AI everywhere" strategy, the company prioritized AI-powered capabilities that would transform how users extract value from video content.

Problem

Video professionals and teams frequently needed specific information from hours of recorded content. Finding relevant moments required manual timeline scrubbing or watching entire videos, making video inefficient as a knowledge format.

Why this matters

By enabling users to ask questions and receive timestamped answers, this work supported Vimeo's enterprise value proposition and differentiation in the AI-powered productivity space.

My Role

As design lead for mobile, I was responsible for translating Vimeo's web AI experience into native mobile patterns, adapting interaction models for smaller screens while maintaining consistency with the broader product vision. I partnered closely with the web design team to understand the AI's capabilities and constraints, and worked directly with AI/ML engineering to shape what was technically feasible for V1.

Understanding and discovery

I worked with product and engineering partners to understand both the technical constraints and emerging interaction patterns for AI within video products. Through competitive analysis and early prototyping, we identified some initial experience principles.

Dual interaction model

Two entry points were essential: pre-generated questions to reduce friction for casual users, and a custom prompt field for power users. Both needed to feel natural and discoverable within the player.

Managing processing time

AI processing takes time, especially for long videos. Users tolerate delays when they understand what's happening, so our design needed clear progress indicators and expectation-setting to avoid confusion or abandonment.

The output: text + timestamps

Users wanted fast answers and the ability to verify. This meant pairing text responses with tappable timestamps, letting users jump directly to the relevant moments in the video without leaving the flow.

How it works

Ask AI lets users get answers from long-form video without watching the whole thing. Users can tap a suggested question or type their own and receive text answers with timestamps that link directly to relevant moments. It's especially valuable on mobile, where time and attention are limited.

Solution overview

Solution overview

Generated starter questions are based on video content, giving users an instant entry point without needing to know what to ask

Generated starter questions are based on video content, giving users an instant entry point without needing to know what to ask

For deeper queries, users can type their own questions and receive tailored answers with tappable timestamps linking to the exact moments in the video

For deeper queries, users can type their own questions and receive tailored answers with tappable timestamps linking to the exact moments in the video

Contact

Let's build something great

Website design and content © 2026 Peter Smith

Contact

Let's build something great

Website design and content © 2026 Peter Smith

Contact

Let's build something great

Website design and content © 2026 Peter Smith