Maze integrates AI into research design and analysis

Maze, known primarily as a prototype testing and unmoderated research platform, has been integrating AI into both the design and analysis phases of research. The AI features assist with task flow creation, question design, and post-study insights analysis, reducing the setup time for research studies and the analysis time after completion.

The integration into the design phase is notable because most AI research tools focus on analysis. By offering AI assistance when researchers are creating task flows and writing questions, Maze targets the full research cycle rather than just the back end. For teams running frequent prototype tests, reducing setup time per study can increase the total number of studies a team runs, which in turn can shift research from project-based to continuous.

Maze’s position as a prototype testing tool means these AI features are most relevant for researchers who do regular usability testing and concept validation. Teams focused on exploratory qualitative research or strategic studies will find less applicable value here, as the AI features are optimized for the structured, task-based research that Maze specializes in.