user
What role did user feedback play in improving the HR chatbot after its launch?
assistant
User feedback is critical for post-launch improvements. John likely implemented feedback collection mechanisms within the chatbot interface, allowing employees to rate responses or suggest improvements. He might have analyzed this feedback alongside usage metrics like query resolution rates and response times. By prioritizing frequently mentioned issues or suggestions, he could focus on impactful updates. Regularly retraining the model with data from real-world interactions would also enhance its accuracy and relevance over time. User feedback played a key role in improving the HR chatbot as John Mosquera collected ratings and suggestions from employees, analyzed usage metrics, and retrained the model based on real-world interactions.