You can't improve what you don't measure. In customer service there are dozens of possible metrics, but five of them are absolutely essential for any operation, from the small business to the large enterprise. Let's look at each one and how to use them in practice.
1. CSAT — Customer Satisfaction Score
CSAT is the most direct measure of satisfaction. After a support interaction closes, the customer receives a simple survey: "How would you rate the support you received?" with options from 1 to 5 stars (or emojis, depending on the implementation).
The calculation is simple: (positive responses / total responses) x 100. A CSAT above 80% is considered good in most industries. Below 70%, it's a warning sign.
In ChatSense, the CSAT survey is sent automatically when a conversation closes, with results visible on the real-time dashboard and in each agent's individual performance report.
2. NPS — Net Promoter Score
While CSAT measures point-in-time satisfaction, NPS measures overall customer loyalty. The question is: "On a scale of 0 to 10, how likely are you to recommend our company to a friend?" Responses of 0 to 6 are detractors, 7 and 8 are passives, 9 and 10 are promoters.
NPS = % promoters - % detractors. An NPS above 50 is excellent. Companies like Apple and Amazon operate with an NPS between 60 and 70.
NPS should be measured periodically (monthly or quarterly) and complements CSAT by giving a long-term view of how customers perceive your brand.
3. First Response Time (FRT)
First response time is the interval between the customer's message and the team's (or AI's) first reply. It's one of the most impactful metrics for satisfaction: research shows that 90% of consumers consider an "immediate" response (under 10 minutes) important or very important.
On WhatsApp and Instagram, the expectation is even more aggressive — customers expect responses in under 5 minutes. This is where AI makes the difference: an automated agent can deliver an FRT of seconds, keeping the customer engaged while they wait for a human agent, if needed.
4. Resolution Time
Responding fast matters, but resolving fast is what really counts. Resolution time measures the interval between opening and closing a support interaction. This metric varies widely by industry and complexity, but the goal is always to reduce it without sacrificing quality.
Tip: segment resolution time by support category. Technical problems naturally take longer than pricing questions. Comparing everything in the same average distorts the analysis.
5. SLA — Service Level Agreement
An SLA isn't just a contract — it's an operational metric. Defining internal SLAs (e.g., "every conversation must receive a first response within 5 minutes during business hours") and measuring the compliance rate is essential to keeping quality consistent.
In ChatSense, you can configure SLA policies by channel, priority, and team. The system automatically alerts you when a support interaction is about to breach the SLA, allowing preventive action.
How to use these metrics in practice
Set clear targets: measuring isn't enough — establish specific goals. For example: "CSAT above 85% by the end of the quarter" or "average FRT under 3 minutes."
Review weekly: set aside a moment each week to analyze the numbers with the team. Identify trends, not just isolated data points.
Act on the data: if CSAT dropped, investigate the interactions with low scores. If FRT rose, check whether the team is understaffed or the AI needs adjustments.
Metrics without action are just numbers. The difference between companies with good and bad support isn't the absence of problems, but the speed with which they identify and fix them.