cx-metrics-qa

Quality Assurance in Customer Service: How to Score Interactions

Building a QA program that improves both quality and agent development.

2 tháng 10, 2026 7 phút đọc Zenify Team
#qa #chat-luong #cskh

Quality assurance (QA) in customer service is the process of evaluating the quality of conversations/tickets according to a unified set of standards — to know if employees are providing good service and to standardize quality. QA is not "catching errors" but a feedback system: scoring → finding weaknesses → training → improving. Thanks to Zenify, businesses that do standard QA have recorded a 21% increase in conversion rate (approved).

TL;DR
- QA = evaluate conversation quality according to standards.
- QA is for improvement, not for "catching errors".
- Build a criteria table: skills, processes, results.
- Scoring representative samples + focusing on risk groups.
- QA round: scoring → analysis → training → re-scoring.

What is QA in Customer Service?

QA (Quality Assurance) is a systematic evaluation process:

Select the processed conversation/ticket template.

Score according to the unified criteria table.

Summarize points, find weaknesses.

Introduce training and improvement.

Purpose: ensures customers receive consistent quality — regardless of "whether the staff is happy or tired today".

Build a scoring criteria table

The good criteria table includes 3 groups:

1. Communication skills

Address correctly and politely.

Clear, unambiguous language.

Ask for needs before introducing.

2. Follow the process

Respond on time (FRT, SLA).

Correct process steps.

Record complete information.

3. Results

Is the customer's problem resolved?

Are customers satisfied?

Are you proactive in providing follow-up care?

How to grade effectively

1. Score a representative sample

Each employee scores at least 10 conversations/month.

Spread the categories evenly: new, complaints, care.

2. Prioritize risk groups

Conversations with complaining guests, VIP guests, and difficult cases.

Major incidents — mark immediately to learn from experience.

3. Clear grading scale

Example 1-5 for each criterion, or weighted according to importance level.

Total QA score helps compare between employees and shifts.

4. Objective sampling

Do not grade conversations that are handled by the grader himself.

There should be a random sampling process.

Use QA results properly

Active QA round:

Grad periodically according to the form.

Analyze — find recurring low scoring criteria.

Coaching — focuses on weaknesses (see Coaching from QA data).

Re-scoring — measure whether training is effective.

Note to avoid:

After grading, leave it there — QA not going into training is a waste.

Using points to punish — QA as a monitoring tool makes employees afraid, points are beautified.

Inconsistent standards — staff don't know "why" (see Calibration).

Z

Zenify Team

Zenify Team · 2 tháng 10, 2026

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