Template · Contact centre operations
Call center QA scorecard template
In short
A call center QA scorecard is the form a quality analyst or supervisor uses to score a recorded or live call against fixed criteria: greeting and verification, discovery, resolution, compliance, soft skills and wrap-up. This template gives you weighted sections, yes/no/partial scoring, auto-fail compliance items and a coaching summary.
Call Quality Monitoring Scorecard template
Call Quality Monitoring Scorecard
Score each behavior Yes (full points), Partial (half points) or No (zero). Mark N/A only when the behavior could not apply to this call, and remove its points from the total possible. Any auto-fail item marked No sets the final score to 0 regardless of other sections. Quote the call (with timestamps) in the comments so the agent can find the moment.
Call details
- Agent name
- Agent ID / employee number
- Team / supervisor
- Site / location
- Evaluator name
- Evaluation date
- Call date
- Call or interaction ID
- Call length (mm:ss)
- Channel
- Inbound voiceOutbound voiceChatEmailSocial / messaging
- Call type / contact reason
- Evaluation type
- Random sampleTargeted (low CSAT / complaint)Calibration callNew hire / nesting reviewSide-by-side (live)
Section 1: Opening and verification (10 points)
- Answered with the approved greeting, own name and company name within [3] seconds of connect (3 pts)
- YesPartialNoN/A
- Verified the caller's identity using the required [number] data points before discussing the account (5 pts, auto-fail if No)
- YesNoN/A
- Used the customer's name at least once after verification (2 pts)
- YesPartialNoN/A
Section 2: Discovery and understanding (20 points)
- Let the customer explain the issue without interrupting (5 pts)
- YesPartialNoN/A
- Asked clarifying questions to find the real reason for the call (8 pts)
- YesPartialNoN/A
- Summarized the issue back to the customer and got agreement before acting (4 pts)
- YesPartialNoN/A
- Reviewed account history and prior contacts instead of asking the customer to repeat them (3 pts)
- YesPartialNoN/A
Section 3: Resolution and accuracy (30 points)
- Gave correct information consistent with current policy and the knowledge base (10 pts)
- YesPartialNoN/A
- Resolved the issue on this contact, or took every step available to the agent's role (10 pts)
- YesPartialNoN/A
- Set clear expectations on next steps, timelines and what the customer will receive (5 pts)
- YesPartialNoN/A
- Followed the correct transfer, escalation or callback process when needed (5 pts)
- YesPartialNoN/A
Section 4: Compliance (auto-fail items)
- Read required disclosures word for word: [list, e.g. call recording notice, mini-Miranda, terms of sale]
- YesNoN/A
- Handled payment card or sensitive data per PCI and privacy procedure (paused recording, no read-back of full numbers)
- YesNoN/A
- Did not make promises, guarantees or statements outside policy
- YesNoN/A
- Honored do-not-call, opt-out or cancellation requests as required
- YesNoN/A
- Was professional throughout: no rude, dismissive or discriminatory language, no intentional disconnect
- YesNo
Section 5: Communication and soft skills (25 points)
- Acknowledged the customer's situation with a specific empathy statement where appropriate (6 pts)
- YesPartialNoN/A
- Used clear, plain language with no unexplained jargon (5 pts)
- YesPartialNoN/A
- Kept a confident, friendly tone and controlled the pace of the call (5 pts)
- YesPartialNoN/A
- Asked permission before hold, gave a time estimate, and checked back within [60] seconds (5 pts)
- YesPartialNoN/A
- Avoided dead air longer than [10] seconds without explanation (4 pts)
- YesPartialNoN/A
Section 6: Closing and documentation (15 points)
- Confirmed the issue was resolved or the next step was understood (4 pts)
- YesPartialNoN/A
- Offered further help and closed with the approved closing (3 pts)
- YesPartialNoN/A
- Logged accurate disposition code and complete, readable notes (5 pts)
- YesPartialNoN/A
- After-call work kept within the target of [__] seconds (3 pts)
- YesPartialNoN/A
Score summary
- Points earned
- Points possible (100 minus N/A items)
- Final QA score % (points earned / points possible x 100)
- Auto-fail triggered
- NoYes: final score set to 0
- Result band
- Exceeds (90-100%)Meets (80-89%)Needs improvement (70-79%)Below standard (under 70%)
Coaching notes
- What the agent did well (with timestamp)
- One behavior to change first (with timestamp and the better phrasing)
- Root cause of any miss
- Knowledge gapSkill / practice gapProcess or tool issuePolicy unclearBehavior / will
- Coaching session date
- Agent comments
- Agent acknowledgement
- Evaluator signature
How to use this template
- Replace the bracketed items with your own verification steps, disclosures, hold and after-call targets, then confirm the section weights still add up to 100.
- Write a one-line definition of what Yes, Partial and No look like for every behavior and keep it in the evaluator guide.
- Pull calls at random from the agent's queue, plus targeted calls such as low survey scores or complaints, and label which is which.
- Listen to the whole call once before scoring, then score it on the second pass with timestamps for every Partial or No.
- Mark N/A only when the behavior could not happen on that call, and subtract its points from the possible total.
- Apply the auto-fail rule for any compliance miss, record the root cause, and pick one behavior to coach first.
- Review the form with the agent within 48 hours, get their comments and acknowledgement, and file it with their QA history.
- Run a calibration session at least monthly where every evaluator scores the same call and you settle the differences.
What a QA scorecard is for
A QA scorecard turns "that was a good call" into something an agent can act on and a manager can trend. It scores what the agent did on one interaction against the behaviors that drive resolution, compliance and customer experience. Done well, it is the main input to coaching. Done badly, it becomes a points game that agents resent and that tells leadership nothing.
Keep it separate from the monthly call center agent scorecard, which rolls QA together with handle time, adherence, attendance and survey results. The QA form judges one call. The agent scorecard judges a month. If you want the background on how quality programs are usually set up, our glossary entry on quality assurance covers sampling, roles and reporting.
How the weighting and auto-fail rules work
The template weights resolution and accuracy at 30 points and soft skills at 25 because that is roughly what moves customer outcomes. Opening at 10 points is deliberate: a perfect greeting on a call where the customer got the wrong answer should not score 85%.
Compliance items carry no points. They are pass/fail, and a fail sets the score to 0. That sounds harsh, but the alternative is worse: on a weighted points model, an agent can skip a required disclosure, lose 5 points and still pass with 92%, and your dashboard will say quality is fine while you carry real regulatory exposure. Keep the auto-fail list short (four to six items) and limited to things that create legal, financial or security risk.
Worked example: Denise takes a billing call. She earns 9 of 10 on the opening, 16 of 20 on discovery, 25 of 30 on resolution, 22 of 25 on soft skills and 12 of 15 on closing. Hold was not needed, so the 5-point hold item is N/A. Points earned = 84; points possible = 95; score = 84 / 95 x 100 = 88.4%, which lands in Meets. Had she skipped the recording disclosure, the score would be 0 and the conversation would be about that one miss.
How many calls to score and who scores them
A common benchmark is 4 to 8 evaluations per agent per month, more for agents in nesting or on a performance plan. Fewer than four and one bad call swings the monthly average too much. Many centers run one analyst per 40 to 60 agents, with supervisors scoring a few calls each week themselves so they stay close to the work.
If you use speech analytics to score 100% of calls automatically, keep human evaluations for the judgment items (empathy, accuracy, whether the resolution was right) and let the system flag silence, overtalk, missed disclosures and long holds. Automated scores are good at finding which calls to listen to. They are weaker at telling you whether the agent gave the right answer.
Calibration is what makes the numbers mean anything. Once a month, have every evaluator and two or three supervisors score the same three calls independently, then compare. A healthy target is evaluators landing within about 5 points of each other. If one analyst consistently scores 10 points lower than the others, agents on that analyst's list are being judged on a different standard, and they notice. See our guide to call calibration for how to run the session.
Common mistakes with call monitoring forms
- Too many line items. Scorecards with 30 or 40 behaviors produce averages in the high 90s and no clear coaching point. Twenty to twenty-five behaviors is plenty.
- Scoring scripts word for word. Unless it is a legal disclosure, score whether the agent achieved the purpose (verified the caller, set expectations), not whether they said the exact phrase.
- Only scoring short calls. Analysts under time pressure pick 3-minute calls. Long calls and transfers are where most problems sit, so stratify the sample by call length.
- Handing over a score without a coaching conversation. The form should end in a session on the call center coaching form with one behavior to work on, not five.
- Ignoring process failures. If half the misses on resolution trace back to a broken refund tool, that is an operations problem. Track the root-cause field and report it upward.
- Using QA scores alone to decide discipline. Use them as evidence alongside patterns, coaching history and other metrics.
Adapting the scorecard for multi-site and high-volume teams
When a program runs across several sites or vendors, use one master form with identical section weights everywhere and only localize the bracketed items. Report QA score by site, team and evaluator side by side; tools like site and zone performance reporting make the gaps obvious. If a new site averages 94% while its first-contact resolution trails the others, the evaluators are probably being lenient.
For new-hire classes in nesting, score more calls (two or three a day for the first week on the floor) on a shorter version of the form focused on verification, accuracy and hold handling. Trend the class average daily and look for the behavior most of the class is missing; that is a training gap, not an individual one. When you hire QA analysts, our quality analyst interview questions include a live call-scoring exercise worth stealing.
Record-keeping note: if you record calls, follow the call-recording consent rules for every state you take calls from; some states require all parties to consent. Rules vary by state and country, so check with counsel.
Frequently asked questions
What should a call center QA scorecard include?
Call details, then weighted sections for opening and verification, discovery, resolution and accuracy, communication and soft skills, and closing and documentation. Add a short list of pass/fail compliance items, a score summary and coaching notes with timestamps. Most effective forms have 20 to 25 scored behaviors.
What is a good QA score in a call center?
Many centers set 85% as the target and 80% as the minimum, but the number only means something if your form and calibration are consistent. A center with tough scoring at 82% may have better calls than one with lenient scoring at 95%. Compare QA scores with resolution and survey data to check.
How do you calculate a call quality score?
Add the points the agent earned, divide by the points possible after removing N/A items, and multiply by 100. If any auto-fail compliance item was missed, the score becomes 0. For example, 84 points earned out of 95 possible is 88.4%.
How many calls should QA monitor per agent?
A common benchmark is 4 to 8 evaluated calls per agent per month, with more for new hires and agents on improvement plans. Pick calls at random and add targeted calls, such as complaints or low survey scores, labeled separately so they do not skew the average.
What is the difference between a QA scorecard and an agent scorecard?
A QA scorecard evaluates the quality of one call or interaction. An agent scorecard summarizes an agent's overall performance for a period, combining the average QA score with metrics such as handle time, adherence, attendance and customer satisfaction.
Should agents be able to dispute QA scores?
Yes. A simple dispute process, where the agent flags an item within a few days and a second evaluator or supervisor reviews it, builds trust in the program and surfaces unclear criteria. Track dispute rates by evaluator as a calibration signal.