Synthetic Users' user simulation technology is built on advanced AI models that accurately replicate the interaction patterns of different types of users. The platform allows the creation of detailed user profiles that include age, occupation, and behavioral preferences, such as the setting of'Busy 30-year-old parent with a preference for quick shopping'This type of target users with clear characteristics.
The workflow of this feature consists of three key sections: firstly, analyzing the behavioral characteristics of the user portrait through a large language model; then generating real-time simulated mouse movement trajectories and operation intervals during the testing process; and finally generating a feedback report containing emotional tendencies. The test shows that this simulated click heat map has a similarity of 92% with real users.
In a practical application case, a SaaS product found through this feature that the abandonment rate of user groups over 35 years old in complex forms was 40% higher than that of younger users, prompting the team to optimize the interface layout. The platform can also simulate network latency, device differences and other environmental variables, making the test results more informative.
This answer comes from the articleSynthetic Users: an AI testing tool that simulates real user behaviorThe
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