Call center scorecard templates,
complete and ready to use
Four full QA scorecards with point values, reporting labels, and auto-fail gates: sales, client intake, collections compliance, and support CX.
Everything is on the page. No email wall, no "download the full version." Copy a template into a spreadsheet or your QA tool and score your first call this afternoon.
Why scorecard design matters
A call center scorecard is a structured evaluation form: a fixed set of criteria, each with a point value, grouped into sections, applied the same way to every call you review. The mechanism behind it is call scoring: turning "I listened to the call and it seemed fine" into structured data like "identity verified, disclosure delivered, issue resolved on first contact." That structure is what makes coaching specific, trends visible, and compliance defensible.
Most articles on this topic give you a list of categories to "consider including" and leave the actual build to you. The ones with a real template usually put it behind an email wall. This page does neither. Three design rules run through every template below:
Criteria are observable
"Did the agent restate the issue before resolving it?" beats "Did the agent communicate well?" because the answer is in the recording. A criterion earns its place when a competent stranger, given only the transcript, would answer it the way you would.
Points reflect risk and revenue
Compliance and resolution carry more points than a polished greeting. A perfect greeting on an unresolved call is worth very little, and the point values should say so.
Auto-fail sits outside the math
Some behaviors, a missed required disclosure, a prohibited statement, should zero the call no matter how good the other 95% was. Keep the list short and limit it to legal, safety, or trust consequences.
You will not find "did the agent show empathy" or "did the agent build rapport" anywhere below. Those name internal states, not behaviors, and they score randomly whether a person or an AI does the scoring. Where the intent matters, the templates use measurable proxies instead: acknowledging the customer's stated problem before moving to a solution, using the customer's name after the greeting. A proxy is narrower than the original intent, and it is honest about being a proxy. A rubric of honest proxies beats a rubric of noble abstractions.
The four templates
Pick the one closest to your operation. Each renders in full below, and each is also available as a JSON file in the exact shape Voxjar scorecards use.
Sales Scorecard
When to use it: For outbound sales teams and inbound lead follow-up desks where the job is to set an appointment or close on the call. Discovery and the direct ask carry the most points because on recorded sales calls those are the two behaviors that most often go missing, and neither can hide behind a confident pitch.
Sales Scorecard
Appointment setting and closing calls. Every criterion is answerable from the transcript alone: the agent either said it or did not.
Opening
15 ptsThe first exchanges decide whether the customer stays on the line. Each item is a specific statement the agent either made or did not.
- 5 pts
Did the agent state their own name and the company name within the first two exchanges of the call?
Identified self and company - 5 pts
Did the agent state the reason for the call before asking any discovery question?
Stated call purpose - 5 pts
Did the agent ask whether the customer had a moment to talk, or otherwise get a verbal go-ahead, before starting the pitch?
Asked permission to continue
Discovery
30 ptsUnderstanding before pitching. Weighted heaviest because skipping discovery is the most common failure on lost deals.
- 10 pts
Did the agent ask at least two open ended questions about the customer's situation, needs, or current setup?
Open ended discovery - 10 pts
Did the agent ask what prompted the customer's inquiry or interest before presenting any option?
Asked what prompted interest - 5 pts
Did the agent ask when the customer is looking to move forward or make a decision?
Timeline question asked - 5 pts
Did the agent ask whether anyone else is involved in the decision?
Decision makers identified
Presenting the offer
25 ptsThe pitch has to connect to what the customer actually said, and it has to stay truthful.
- 10 pts
Did the agent connect at least one specific feature or benefit to a need the customer stated earlier in the call?
Tied benefit to stated need - 5 pts
When the customer asked a direct question about price or availability, did the agent answer it or state a specific way the customer would get the answer?
Price questions answered - 10 pts
Did the agent avoid describing any price, discount, rate, or approval as guaranteed or promised?
No guaranteed claims Auto-fail
Objection handling
20 ptsThese items apply only when the customer raised an objection. Score them not applicable on calls with no objection.
- 10 pts
If the customer raised an objection, did the agent respond to the specific objection raised before restating the offer or the ask?
Addressed the actual objection - 5 pts
If the customer objected to price or timing, did the agent reference a need or value the customer stated earlier before conceding or dropping the ask?
Reframed to stated value - 5 pts
Did the agent let the customer finish stating the objection without talking over them?
No talk-over on objections
Appointment and close
25 ptsThe ask is the point of the call. A specific commitment with a date beats a warm goodbye.
- 10 pts
Did the agent directly ask for the appointment or the sale at least once?
Made the direct ask - 5 pts
If an appointment was set, did the agent confirm a specific date and time rather than a general window?
Specific date and time set - 5 pts
Did the agent confirm the customer's phone number or preferred contact method before ending the call?
Contact details confirmed - 5 pts
Did the agent state what happens next and who will do it before ending the call?
Next step stated
17 criteria, 115 points, 1 auto-fail gate outside the weighted math
Client Intake Scorecard
When to use it: For legal intake desks and professional services intake teams, where the caller has a problem, the desk decides whether the matter fits, and the win is a scheduled consultation or signed retainer on the first call. The qualifying facts section is weighted heavily because a missed date or a caller who already signed elsewhere wastes everything that follows.
Client Intake Scorecard
First-contact intake calls for legal and professional services. Built around capturing the qualifying facts and converting the caller before the call ends.
Greeting and acknowledgment
20 ptsCallers to an intake desk are often mid-crisis. Acknowledgment here is scored as a specific verbal act, not an impression.
- 5 pts
Did the agent state the firm or company name in the greeting?
Firm named in greeting - 10 pts
Did the agent verbally acknowledge the caller's stated problem or situation before starting the intake questions?
Acknowledged the problem - 5 pts
Did the agent ask for the caller's name and use it at least once after the greeting?
Used caller's name
Qualifying facts
35 ptsThe facts that determine whether the matter fits and whether it is still viable. Each is one question the agent either asked or did not.
- 10 pts
Did the agent ask when the incident or issue occurred?
Incident date asked - 5 pts
Did the agent ask where the incident occurred or which state or jurisdiction the matter is in?
Jurisdiction asked - 10 pts
Did the agent ask whether the caller has already hired or spoken with another firm or provider about this matter?
Prior representation asked - 10 pts
Did the agent ask the caller to describe the harm, loss, or damages involved?
Damages described
Information capture
20 ptsA promising matter with a wrong phone number is a lost matter.
- 5 pts
Did the agent repeat the caller's phone number back to confirm it was captured correctly?
Phone number confirmed - 5 pts
Did the agent ask how the caller heard about the firm or company?
Source asked - 10 pts
Did the agent summarize the key facts of the matter back to the caller before ending the intake?
Facts summarized back
Expectations and boundaries
25 ptsIntake agents gather facts and set next steps. Opinions on case validity or value belong to the professionals and void the call when an agent offers them.
- 10 pts
Did the agent avoid stating an opinion on whether the caller has a valid case or what the case or claim is worth?
No case evaluation given Auto-fail - 10 pts
Did the agent state what will happen next and the timeframe in which the caller will be contacted?
Next step and timeframe stated - 5 pts
If the matter did not fit the firm's practice areas, did the agent say so clearly and offer a referral or an alternative next step?
Clean decline with referral
Commitment
20 ptsIntake calls convert on the first call or usually not at all. The scorecard rewards asking on this call.
- 10 pts
Did the agent attempt to schedule the consultation or complete the sign-up step on this call rather than deferring it to a callback?
Attempted same-call commitment - 5 pts
If the caller hesitated, did the agent make at least one attempt to address the stated hesitation before accepting a callback?
Addressed hesitation - 5 pts
Did the agent ask whether the caller had any remaining questions before ending the call?
Final questions invited
16 criteria, 120 points, 1 auto-fail gate outside the weighted math
Collections Compliance Scorecard
When to use it: For debt collection and ARM teams working under the FDCPA and Regulation F, and adaptable to any regulated queue where required language and prohibited conduct are defined by rule. The auto-fail gates matter more than the score: a 96 point call with a missed mini Miranda is a failed call, which is why the gates sit outside the weighted math and zero the call on their own.
Collections Compliance Scorecard
Collections and regulated outbound calls. Compliance criteria are near binary, the disclosure was delivered or it was not, which makes this the easiest template to apply consistently and the costliest one to sample.
Right-party contact
30 ptsNothing about the debt gets discussed until the right person is confirmed. Third-party disclosure voids the call outright.
- 10 pts
Did the agent confirm they were speaking with the named consumer before mentioning that the call concerns a debt?
Right party confirmed first - 10 pts
Did the agent verify at least one identifier, such as date of birth or address, before discussing account details?
Identity verified - 10 pts
Did the agent avoid disclosing the existence of the debt, the balance, or the creditor's name to anyone other than the confirmed consumer?
No third-party disclosure Auto-fail
Required disclosures
25 ptsThe statements the law or your policy requires on the call. The recording notice refers to your own phone system's recording, where your policy requires one.
- 10 pts
Did the agent deliver the mini Miranda, identifying the call as an attempt to collect a debt and stating that any information obtained will be used for that purpose?
Mini Miranda delivered Auto-fail - 5 pts
Did the agent state their own name and the agency's name during the call?
Agent and agency identified - 5 pts
If this was a first conversation with the consumer, did the agent reference the consumer's validation rights or the validation notice?
Validation rights referenced - 5 pts
If your phone system records calls and your policy requires a notice, did the agent state that the call may be recorded before discussing account details?
Recording notice given
Prohibited conduct
35 ptsStatements that must never appear on a collections call. Each gate names the specific prohibited statement so a reviewer or the AI can point at the exact moment.
- 10 pts
Did the agent avoid stating or implying that nonpayment will lead to arrest, jail, or criminal charges?
No criminal threats Auto-fail - 10 pts
Did the agent avoid profanity, name calling, and remarks that mock or demean the consumer?
No abusive language Auto-fail - 10 pts
If the consumer said to stop calling or stated a dispute of the debt, did the agent acknowledge the statement and stop collection pressure for the rest of the call?
Cease and dispute honored Auto-fail - 5 pts
Did the agent quote a single consistent balance figure throughout the call?
Consistent balance quoted
Negotiation and resolution
20 ptsThe commercial work of the call, done inside the compliance rails above.
- 5 pts
Did the agent ask for payment in full before offering a payment plan or settlement?
Asked for balance in full first - 10 pts
If a payment arrangement was made, did the agent state the amount, the date, and the payment method back to the consumer?
Arrangement terms restated - 5 pts
If no arrangement was reached, did the agent ask what amount or date the consumer could commit to before ending the call?
Alternative commitment sought
Professional conduct
15 ptsProfessionalism scored as observable behavior, not reviewer impression.
- 5 pts
Did the agent let the consumer finish speaking without talking over them during disputes or complaints?
No talk-over - 5 pts
Did the agent keep the conversation to the account facts and avoid commentary about the consumer's character, lifestyle, or spending?
Stayed on account facts - 5 pts
Did the agent close by summarizing what was agreed or what happens next?
Outcome summarized
17 criteria, 125 points, 5 auto-fail gates outside the weighted math
Support and CX Scorecard
When to use it: For help desks, customer service teams, and technical support queues where the caller has a problem and the agent's job is to fix it. Resolution carries the most points because first-contact resolution is the behavior most tied to satisfaction and cost. The experience criteria are measurable proxies: acknowledging the stated problem, using the customer's name, explaining without jargon. They are honest about being proxies, and a rubric of honest proxies beats one of noble abstractions that score randomly.
Support and CX Scorecard
Inbound support and service calls. Resolution and experience, with every experience criterion written as a checkable behavior rather than an impression.
Opening and verification
15 ptsThe greeting is worth little on its own, but skipping identity verification before account details voids the call.
- 5 pts
Did the agent state the company name and an offer to help in the greeting?
On-brand greeting - 10 pts
Did the agent verify the customer's identity per policy before discussing any account details?
Identity verified before account details Auto-fail
Understanding the issue
25 ptsAcknowledgment and restatement are the two proxies here, and both are checkable from the transcript.
- 10 pts
Did the agent verbally acknowledge the customer's stated problem or frustration before moving to a solution?
Acknowledged the problem - 10 pts
Did the agent restate the customer's issue in their own words before starting the fix?
Issue restated - 5 pts
Did the agent let the customer finish describing the issue without interrupting?
No interruptions
Resolution
25 ptsThe heart of the call. Resolved means the agent said what was fixed, or set a specific follow-up with an owner and a timeframe.
- 10 pts
Did the agent state a resolution, or set a specific next action with an owner and a timeframe, before ending the call?
Resolution or owned next step - 10 pts
Was the issue handled without transferring the call and without asking the customer to call back?
First-contact handling - 5 pts
If the customer had to take steps themselves, did the agent confirm the customer understood the steps before ending the call?
Customer steps confirmed
Communication
15 ptsPlain language and personal address, scored as specific acts.
- 5 pts
Did the agent explain the fix in plain language, defining any internal term or acronym they used?
Plain-language explanation - 5 pts
Did the agent use the customer's name at least once after the greeting?
Used customer's name - 5 pts
Each time the customer was placed on hold, did the agent state the reason or the expected wait before doing so?
Holds announced
Closing
10 ptsConfirmation that the problem is actually gone, and a path back if it is not.
- 5 pts
Did the agent ask whether the issue was resolved or whether the customer needed anything else before ending the call?
Resolution confirmed with customer - 5 pts
Did the agent tell the customer what to do or whom to contact if the issue comes back?
Recurrence path given
13 criteria, 90 points, 1 auto-fail gate outside the weighted math
Scoring these templates with AI
Every criterion in these templates is written to be observable and checkable from the conversation, so it scores the same way whether a person fills it in or Voxjar does it automatically.
That is a design constraint, not a feature claim. A question like "was the agent professional" cannot be scored consistently by anyone, human or machine, while "did the agent state their own name and the company name within the first two exchanges" can be answered by pointing at the transcript. Writing criteria this way is what makes a scorecard usable at 100% coverage instead of a 2 to 4% sample.
How AI applies a scorecard like these, criterion by criterion with the evidence quote attached to each answer, and where it gets things wrong, is covered in our auto QA guide. One note on recording: Voxjar analyzes the recordings your phone system or dialer already produces and does not record calls itself, which is why the recording notice criterion in the collections template refers to your own phone system and your own policy.
How to customize these templates
Treat the templates as starting points, then make four passes. One channel note: these are written for voice. If you score chat and email on the same program, fork the scorecard rather than stretching one form across channels. For the full method behind designing your own form from scratch, see our guide to call monitoring forms.
- 1
Rewrite criteria in your language
"Approved greeting" should reference your actual greeting. "Required disclosures" should list your specific disclosures. The more concrete each criterion, the less room for reviewer interpretation.
- 2
Re-weight for your risk profile
A software help desk might shrink compliance and grow resolution. A regulated sales floor should do the opposite. A simple test: if a section dropped to zero on a call, how bad would it actually be? Weight accordingly.
- 3
Decide your auto-fail list deliberately
Keep it short, three to six items, and limit it to behaviors with legal, safety, or trust consequences. If a third of calls hit an auto-fail, the list is too broad and agents will tune the scorecard out.
- 4
Cap the length
Ten to fifteen criteria is the sweet spot. Beyond that, reviewers rush, scores get noisy, and the last third of the form becomes decoration. If two criteria always score together, merge them.
Five mistakes that ruin the data
Vague criteria
"Was the agent professional?" produces reviewer opinions, not data. Every criterion should be answerable by pointing at a moment in the recording.
Everything weighted equally
If greeting and compliance both count for 10 points, your score says a warm hello offsets a missed disclosure. Points are where your priorities become math.
The 30-criterion monster
Long scorecards feel rigorous and score inconsistently. Reviewers satisfice, and agents cannot act on 30 data points of feedback anyway.
Scoring only complaints
If reviews come only from angry-customer calls, your averages describe your worst 3% and your coaching targets the wrong things. Score a representative sample, or score everything.
Set and forget
Products change, scripts change, regulations change. A scorecard that has not been edited in a year is measuring last year's business.
How often to calibrate
A scorecard is only as objective as the people applying it. Calibration is the fix: reviewers independently score the same call, compare results criterion by criterion, and argue out the differences until the interpretations converge. Run it weekly for the first month after launching or materially changing a scorecard, monthly as a steady state, and immediately after any scorecard edit, new reviewer, or new call type entering the queue. Track the spread between highest and lowest score; under 5 points means the team is calibrated. Write the rulings down: "a pass on acknowledgment means the agent named the customer's problem in words, not just tone" is what keeps future scores consistent.
The part that doesn't scale
Building the scorecard takes an afternoon. Applying it is the problem. A thorough manual review takes 15 to 20 minutes per call, so an analyst doing nothing else covers maybe 20 calls a day, and on a 500-call-a-day floor that is a 2 to 4% sample carrying every conclusion you draw. The missed mini Miranda, the rep skipping discovery, the slow-burn churn call: statistically, they happen on the calls nobody reviewed. That is exactly the part call center quality assurance software automates: define the scorecard once, with the same criteria, points, and auto-fail gates as the templates above, and AI applies it to 100% of your calls with the reasoning and the transcript moment behind every score.
Frequently asked questions
What should a call center scorecard template include?
A fixed set of criteria grouped into sections, a point value per criterion, and a short list of auto-fail conditions that zero the call regardless of the other points. Ten to fifteen criteria is the sweet spot; beyond that reviewers rush and scores get noisy. Every criterion should be observable, meaning a reviewer can answer it by pointing at a moment in the recording.
How is a call center scorecard scored?
Each criterion is scored pass, fail, or not applicable, and the earned points roll up into a total for the call. Auto-fail items sit outside that math: if one is violated, the call scores zero no matter how many other points were earned, exactly as on a paper evaluation form. Conditional criteria, such as objection handling on a call with no objection, should return not applicable rather than a fail.
What is an auto-fail on a QA scorecard?
A behavior serious enough that the call fails outright regardless of everything else on the form: a missed required disclosure, a prohibited statement, disclosing account details to the wrong person. Keep the list to three to six items with genuine legal, safety, or trust consequences. If a third of your calls hit an auto-fail, the list is too broad and agents will tune the scorecard out.
How do I customize these scorecard templates?
Four passes: rewrite the criteria in your own language, with your actual greeting and your actual disclosures; re-weight the points for your risk profile; decide your auto-fail list deliberately; and cap the total length at ten to fifteen criteria. Then calibrate: have reviewers independently score the same call and argue out the differences until interpretations converge, weekly for the first month and monthly after that.
Can AI score these scorecard templates?
Yes. Every criterion is written to be observable and checkable from the conversation, with a single decision point and a stated pass condition, which is the property that makes a criterion scorable by AI and by humans alike. Vague criteria like "was the agent professional" score inconsistently no matter who applies them, so none appear in these templates.
Are these call center scorecard templates free?
Yes. All four templates are published in full on this page, with every criterion, point value, and auto-fail gate visible, and each is available as a JSON file. No email address, no download wall. Copy one into a spreadsheet or your QA tool and start scoring today.
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