July 2026 quarterly announcement

Fast, trusted insight, embedded where work happens

AI is accelerating how teams create. These new capabilities bring fast, trusted customer insight into the workflows where decisions happen.

Product screens for UserTesting and User Interviews Integration

Keep pace with AI-accelerated work

Teams are generating more ideas, prototypes, and decisions than ever before. This announcement helps close the gap between creation speed and customer clarity, so insight shows up earlier, inside the workflows, where it can actually change what gets built.

Bring customer insight into your AI workflows

UserTesting's MCP Server brings participant recruitment, test creation, and results directly into Claude, ChatGPT, Figma Make, and other AI clients. Teams can now move as fast as their AI tools let them — with customer insight built into the workflow from the start, not an afterthought once decisions are already in motion.

MCP Product Release 2026

Test more complex flows without leaving Figma

The UserTesting for Figma plugin now supports tests with multiple tasks and prototypes in a single study — opening up more complex use cases that design and marketing teams can run directly in Figma. Get structured feedback across multi-step flows without exporting files or switching tools, so teams can validate more of the experience earlier and move forward with greater confidence.

Figma Plugin Launch Product Screens 2026

Reach the right participants, verified, at scale

Advanced Targeting connects research and design teams to a combined network of 7.6M participants, including 3.2M verified professionals across 140 industries. With precise targeting and flexible incentives, teams can reach exactly who they need, no external tools or vendor coordination required.

Product screens for UserTesting and User Interviews Integration

More updates across the platform

The July announcement also includes improvements across participant lists, screener setup, task flows, split testing, and results sharing, so teams can set up studies faster, capture richer feedback, and get insights to the people who need them with less manual effort in between.

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