# Measuring time savings from Figma Make

DevFeed: [Measuring time savings from Figma Make](<https://devfeed.tech/articles/measuring-time-savings-from-figma-make-9963.md>)

Original publisher: [Read original article](<https://www.figma.com/blog/measuring-time-savings-from-figma-make/>)

Author: Remy Stewart

Published: 2026-08-11T19:59:00Z

Content type: article

Language: en

Sources: [Figma Blog](<https://devfeed.tech/sources/figma-blog.md>)

Topics: [Figma](<https://devfeed.tech/topics/figma.md>), [Data Science](<https://devfeed.tech/topics/data-science.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [A/B Testing](<https://devfeed.tech/topics/a-b-testing.md>)

Tags: [a-b-testing](<https://devfeed.tech/tags/a-b-testing.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-tools](<https://devfeed.tech/tags/ai-tools.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [figma](<https://devfeed.tech/tags/figma.md>), [productivity](<https://devfeed.tech/tags/productivity.md>), [research](<https://devfeed.tech/tags/research.md>), [testing](<https://devfeed.tech/tags/testing.md>)

## AI overview

Figma's Data Science team describes a randomized controlled trial measuring how Figma Make affects users' design work. Across 100 participants, design work was 20% faster and 16% easier overall, while PMs saw tasks become 23% faster and 37% easier. The article explains why confounders make AI time savings difficult to measure and discusses the limitations of online A/B testing and causal inference using log data.

## Source excerpt

The Figma Data Science team assumed that AI saves users time--but quantifying it required a new approach to research design.