2 posts tagged with "CSAT"

On September 1, 2026, China's first national standard for human–AI customer service collaboration came into force: GB/T 47746—2026, "Customer Contact Services — Requirements for the Collaboration of Human and Intelligent Customer Service." Media coverage distilled the standard into four red lines:

1. A clear, prominent human entry point: customer service menus must offer a visible "talk to a human" option — no burying it behind layers of navigation;
2. Scientific division of labor: AI handles simple, standardized questions; complex disputes, high-risk scenarios, and explicit requests for a human are routed to agents promptly;
3. Smooth human–AI handoff: when switching, the customer's identity, interaction history, and ticket status must carry over completely — customers should never have to repeat themselves;
4. Enterprises are accountable for AI replies: companies cannot dodge responsibility with disclaimers like "AI-generated content is for reference only."

For enterprises evaluating customer service systems, these four red lines are effectively a procurement checklist. This post walks through the standard clause by clause and introduces the capabilities Bytedesk has already shipped — not compliance as a slogan, but as features and mechanisms you can find and verify in the product.

Every customer rating is an opportunity to improve your product and service. Yet many teams still treat feedback collection as an afterthought — a "message board" bolted onto the bottom of a website, where submissions pile up with no one to triage them. Channels are scattered, there's no standard template, and once feedback comes in, nobody follows up. It just sinks to the bottom.

The Bytedesk Voice of Customer (VOC) module exists to solve exactly three pain points: collection is hard, management is messy, and the loop never closes. It turns feedback from a decoration into a configurable, trackable, analyzable, closed-loop customer experience management system.