10–11%
increase in net promoter score over 2 years
Tal como se publicó en observe.ai. Capturado por usedby el 5 oct 2026.
Qué pasó
Freeman's customer support team uses Observe.AI's Post-Interaction AI to move from manually sampling a small share of calls to QA and coaching based on all customer interactions. They also search call transcripts for keywords to investigate recurring customer issues.
Resumen escrito por usedby a partir de la página de origen, en inglés. Las cifras son de Observe Ai y de Freeman, no nuestras.
- 6%“Our QA scores also rose about 6%, and at the same time, we saw a 22-second decrease in average handle time as well as a 10% reduction in not-ready time.”
- 4%“That’s contributing to a 4% year-over-year drop in volume, even as the business continues to grow.”
With Observe.AI’s Post-Interaction AI, Freeman moved from a heavily manual QA sampling approach to coaching based on actual data from 100% of customer interactions.
We use the QA tool in our Observe.AI platform to manage coaching sessions. We can track agents’ progress, connect dots, and show them actual data and examples. That kind of visibility just wasn’t possible before.
Lo que dice la historia, y lo que verificamos
Comparamos la historia con su página en línea el 5 oct 2026.
- La cifra: 10–11%VerificadoLa cifra está en la página; su etiqueta es redacción nuestra.
- El pasaje citado arribaVerificadoCopiado palabra por palabra de la página, cerca del nombre de Freeman.
- Freeman usa Observe AiVerificadoLínea de nivel Confirmado. Última verificación entre todas las fuentes: 5 oct 2026.
- El resultado en síNo verificadoLo citamos; no lo medimos.




