Operational Guidelines for Improving the Efficiency of Requirements Communication
In traditional development, non-technical people and development teams often suffer from technical terminology barriers that result in a distorted communication of requirements. Using Shipper.now can significantly improve this problem:
- natural language interface: Describe requirements directly in everyday language, avoiding the distortion of specialized terminology conversion
- Visualize instant feedback: See the generated results immediately after the description, and detect comprehension deviations in a timely manner
- Progressive clarification: Progressive refinement of the details of the requirements through multiple rounds of dialogues
Best Practice Approach:
- Verbalize the functional scenario first (e.g., "How does the user complete the payment process?").
- Observe if the AI-generated prototype meets expectations
- Additional details for mismatches ("Order number should be displayed after payment")
- Use case-specific tests ("When the user buys item A the process should be...")
Additional Suggestion: You can use Shipper.now to generate a prototype demo first, and then communicate with the development team about the specific implementation, which can dramatically reduce the cost of communication.
This answer comes from the articleShipper.now: building publishable apps with conversational AIThe
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