Background to the issue
In the software development process, real users are often needed to verify the usability and experience of new features after they are launched. However, the traditional method relies on the long cycle of real user feedback and insufficient samples, while manual testing is difficult to cover the real use scenarios.
prescription
Synthetic Users solves the problem by following three steps:
- Creating Test Cases in Natural Language: Input into the platform such as'Testing new message withdrawal feature for social apps'The system automatically generates a file containing the
- Send Test Message
- Long press on the message to select Withdraw
- Steps such as verifying that the message has disappeared
- User Profile Simulation: Create specific portraits (e.g.'High-frequency social users aged 18-25'), the system simulates the group's unique operating rhythms and paths
- Automatic generation of feedback reports: Includes
- Functional Usability Verification Results
- Smoothness Score
- Potential experience issues (e.g., withdrawal confirmation prompts are not obvious)
Operating Points
recommended when performing regression tests:
- Setting up Baseline Testing for Core Functions
- Combine A/B test function to compare the difference between old and new version
- Continuous monitoring with timed test function
This answer comes from the articleSynthetic Users: an AI testing tool that simulates real user behaviorThe
May not be reproduced without permission:AI productivity tools " How to solve the challenge of validating user behavior after a new feature goes live?
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