Hi everyone,
I'm currently exploring different ways to improve customer support workflows using AI. I was wondering how other teams are measuring the quality of responses generated by Fin AI.
A few questions I have:
- What metrics do you monitor the most?
- Have you noticed improvements in first-response resolution?
- Do you use Fin mainly for FAQs, product support, or live conversations?
- Any best practices for training AI with a growing knowledge base?
I'd love to hear how your team approaches this and what has worked well in real-world use cases.
Thanks!