12 Common Call Center QA Mistakes and How to Fix Them

After scoring tens of thousands of calls across every industry, we have seen the same QA mistakes over and over. Here are the 12 most common ones and how to fix them.

1. Inconsistent Scoring

Different QA evaluators interpret scoring criteria differently, leading to inconsistent results and confusion among agents. The same call gets a 78 from one reviewer and an 88 from another.

Fix: Define clear QA criteria. Make sure each question on your QA scorecard has clear definitions and examples. A well-defined scoring guide will help ensure consistency across different evaluators. Hold regular calibration sessions to align evaluators on scoring standards.

2. Ignoring Customer Intent and Experience

Many call centers focus too much on compliance metrics and ignore customer intent and experience. This approach leads to agents feeling pressured to stick to scripts rather than creating genuine customer interactions.

Fix: Balance compliance with empathy. Add questions that measure whether the customer's actual problem was solved, not just whether the agent followed the script. Train agents on empathy and active listening.

3. Using Rated Questions Instead of Binary

Rated questions like scoring on a scale from 1 to 5 lead to more subjectivity. Different evaluators may interpret the scale differently. Binary questions like Yes or No provide more exact and consistent scoring.

Fix: Incorporate more binary questions into your QA scorecard. "Did the agent acknowledge the customer's concern before moving to resolution?" is clearer than "Rate the agent's empathy from 1-5."

4. No Actionable Feedback

Providing QA scores without actionable feedback leaves agents without a clear understanding of how to improve. This leads to stagnation.

Fix: Provide specific examples. Instead of just giving a score, point to specific parts of the conversation that were well done or need improvement. Schedule one-on-one coaching sessions to discuss QA scores.

Most centers score 2-5% of calls and make business decisions from that. Imagine if your doctor diagnosed you based on 2% of your bloodwork.

5. Scoring Too Few Calls

Most centers score 2-5% of calls. That is not enough data to make any statistically valid conclusions about agent performance. You are making coaching decisions based on anecdotes, not data.

Fix: Use statistical sampling to determine the right number of calls. Or use AI-powered QA to score every call. OttoQA scores calls in under 30 seconds with the same consistency every time.

6. Cherry-Picking Calls to Score

Selecting calls based on length, complaints, or gut feeling introduces bias. Your QA data becomes unreliable.

Fix: Automate call selection. Use stratified random sampling that proportionally represents agents, call types, and time periods.

7. Scoring Without Calibration

If your QA team has not calibrated in months, their scores are drifting. What was a "pass" six months ago might be a "fail" today for one reviewer but not another.

Fix: Hold calibration sessions at least monthly. Score the same call independently, then compare results and discuss discrepancies. AI scoring eliminates this problem entirely because it applies criteria identically every time.

8. No Connection Between QA and Coaching

QA scores sitting in a spreadsheet that nobody acts on is the most common waste of time in contact centers. The entire point of scoring calls is to improve agent performance.

Fix: Tie QA directly to coaching plans. OttoQA generates automatic weekly coaching plans for each agent, tied to their actual scored calls with specific examples.

9. Using QA as Punishment

When agents fear QA, they game the system instead of improving. QA becomes a policing function instead of a development tool.

Fix: Frame QA as coaching, not punishment. Celebrate high scores publicly. Use low scores as coaching opportunities, not write-ups. Show agents that QA helps them get better, not get fired.

10. Ignoring Trends

Individual call scores are useful. Trends across hundreds of calls are powerful. Most centers never look at trends because they do not have enough data.

Fix: Score enough calls to see patterns. Look at weekly and monthly trends by agent, team, and call type. OttoQA's behavior trends dashboard shows this automatically.

11. One-Size-Fits-All Forms

Using the same QA form for sales calls and support calls makes no sense. The skills are different. The metrics are different. The goals are different.

Fix: Build separate QA forms for each call type. Sales forms should measure objection handling and close technique. Support forms should measure first call resolution and problem-solving. OttoQA handles multiple forms per client at no extra cost.

12. Not Measuring What Matters

Many QA forms measure things that have zero correlation with customer satisfaction or business outcomes. "Did the agent use the customer's name three times?" does not predict CSAT. "Did the agent solve the problem on the first call?" does.

Fix: Audit your QA form against your business outcomes. If a question does not connect to CSAT, NPS, FCR, or revenue, ask yourself why you are measuring it. Our free QA Form Analyzer at ottoqa.com/qa-form-analyzer will tell you exactly where your form needs work.