Glossary / CSAT (Customer Satisfaction Score)
CSAT (Customer Satisfaction Score)
CSAT is the percentage of customers who rate an interaction positively — the primary check on whether AI ticket deflection is actually resolving issues or just closing conversations without solving problems.
Full definition
CSAT (Customer Satisfaction Score) is measured by sending a simple post-conversation survey — typically 'How satisfied were you with this interaction?' rated 1–5 or thumbs up/down — and calculating the share of positive responses. In AI support contexts, CSAT is the most important counterweight to ticket deflection: a high deflection rate paired with low CSAT means your AI is closing conversations without genuinely helping customers, which is worse than escalating. NimbleBiz tracks CSAT per conversation type (AI-handled, human-handled, AI-then-escalated) so teams can identify exactly which query categories the AI resolves well and which it should be deflecting less aggressively. The practical benchmark: AI-handled conversations should achieve CSAT within 5–10 points of fully human-handled ones. If the gap is larger, the knowledge base needs updating or the AI confidence threshold needs tightening.
Key facts
- Calculated as: (positive ratings ÷ total ratings) × 100
- AI-handled CSAT should be within 5–10 points of human-handled CSAT — larger gaps signal knowledge base gaps
- Low CSAT + high deflection = AI closing conversations, not solving them — worse than escalating
- Track CSAT separately for fully AI-handled, escalated, and human-only conversations
- Post-conversation surveys on WhatsApp achieve higher response rates than email — send within the 24-hour session window
Related terms
Ticket deflection is the share of customer support tickets resolved by AI, self-service, or automation before they reach a human agent. In modern AI-powered support, deflection rates of 60–80% on tier-1 tickets are typical.
ReadAn AI support agent is an autonomous AI that answers customer service questions by retrieving answers from a company's knowledge base, docs, and past tickets — typically deflecting 60–80% of tier-1 tickets before they reach a human.
ReadA knowledge base, in the context of AI agents, is the structured content — help docs, product pages, FAQs, past tickets, PDFs — that an AI agent retrieves from to answer customer questions accurately, grounded in your actual business instead of making things up.
ReadSee csat (customer satisfaction score) in production
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