Problem Statement: The AI chatbot requires training to handle user questions about app usage effectively. Without proper training, it may not provide relevant or helpful responses.
Goal: Train the AI model to understand and respond accurately to common user queries related to app usage. The model should be trained with a variety of user inputs and be able to improve its responses over time.
Scope:
Training the AI on frequently asked questions related to the app
Improve the model’s ability to handle basic app navigation and feature questions
Set up a feedback loop for continuous AI training based on user interactions
Exclude advanced AI behavior, such as understanding complex or highly specific questions, in this phase
Risks and Unknowns:
The AI may require multiple iterations of training to reach a satisfactory level of accuracy
If there isn’t enough diverse user data, the model could struggle with less common queries
Success Criteria:
The AI can successfully respond to basic app-related questions with a high degree of accuracy
Continuous feedback loop established for future training improvements
Users report satisfaction with the relevance of AI responses during testing
Considerations: Ensure there is a mechanism for gathering user feedback to continually improve the AI’s performance over time and exclude bad behaviour
Problem Statement: The AI chatbot requires training to handle user questions about app usage effectively. Without proper training, it may not provide relevant or helpful responses.
Goal: Train the AI model to understand and respond accurately to common user queries related to app usage. The model should be trained with a variety of user inputs and be able to improve its responses over time.
Scope:
Risks and Unknowns:
Success Criteria:
Considerations: Ensure there is a mechanism for gathering user feedback to continually improve the AI’s performance over time and exclude bad behaviour