Best Practices
How to Improve CSAT in a Call Center: What the Data Shows
CSAT surveys capture customer sentiment after the fact. QA data captures what actually happened on the call. When you combine them, patterns emerge — specific call behaviors that reliably predict CSAT scores before the survey is ever sent. This guide covers what those behaviors are and how to move them.
The CSAT–QA Gap
Most contact centers track CSAT and QA scores independently. CSAT tells you how customers feel; QA tells you what agents did. The gap between these two datasets is where the coaching opportunity lives.
If you can identify which specific QA criteria correlate with low CSAT responses, you have a roadmap: improve that behavior, and CSAT follows. The challenge is that random sampling makes this correlation invisible — you need enough scored calls to see the pattern.
With AI scoring on 100% of calls, the correlation becomes clear within weeks. Here is what it consistently shows.
The Five Biggest CSAT Drivers
First-contact resolution
Nothing predicts a low CSAT score more reliably than a customer having to call back. FCR is the single most powerful CSAT lever in most call center environments. A one-percentage-point improvement in FCR typically lifts CSAT by 1–3 points.
What to measure:
Track transfer rate, callback rate within 7 days, and whether agents confirm resolution before closing.
Acknowledged frustration
Customers who are frustrated but feel heard give significantly higher CSAT scores than customers who are frustrated and feel dismissed. The acknowledgment does not need to be lengthy — "I understand this has been frustrating and I want to get this resolved for you" is sufficient.
What to measure:
Track explicit empathy language delivery rate. Agents who use it less than 60% of the time on escalated calls are a CSAT risk.
Clear next steps communicated
Customers who leave a call unclear about what happens next give lower scores even when the resolution was correct. Uncertainty creates anxiety. A clear close — "I have submitted the refund and you should see it in 3–5 business days" — removes uncertainty and improves perception of resolution quality.
What to measure:
Track next-step communication rate in call close evaluation criteria.
No unnecessary hold or transfer
Every unnecessary hold or transfer is a CSAT risk event. Holds that exceed 3 minutes without an update significantly depress scores. Unnecessary transfers — especially when the customer already explained their issue — are among the most common CSAT complaint triggers.
What to measure:
Track average hold count per call, hold duration, and transfer rate. Flag calls with more than one transfer for review.
Confident, knowledgeable tone
Agents who hedge excessively ("I think...", "I believe...", "I'm not totally sure but...") undermine customer confidence in the resolution even when the information is correct. Customers cannot verify the accuracy of what they are told — they evaluate confidence as a proxy for accuracy.
What to measure:
Track hedging language frequency. Agents with high hedging scores often have knowledge gaps that training can address directly.
What Does Not Move CSAT as Much as You Think
Shorter calls do not produce higher CSAT. Customers do not want short calls — they want resolved calls. Pressure on AHT that causes agents to rush resolutions actively harms CSAT.
Robotic script delivery is associated with lower empathy scores and lower CSAT. Scripting compliance matters for compliance criteria; it should not be used to constrain empathy language.
Wait time before the call affects CSAT; what happens on the call affects it more. Even high wait times are recoverable with an excellent call interaction.
Connect QA Data to CSAT Outcomes
Call Coach IQ scores 100% of calls and surfaces the behavioral patterns that predict your CSAT before the survey arrives — so you can coach proactively, not reactively.
Request a Demo