All resources

Templates · September 3, 2026

Call quality scorecard: a rubric for reviewing AI and human sales calls

A ready-to-use scorecard for reviewing sales call transcripts, with criteria, a 1-5 scale, red flags and a weekly review routine for tuning an AI voice agent.

Call quality scorecard: a rubric for reviewing AI and human sales calls

A call quality scorecard lets you review calls the same way every time, so you can tell whether a change to the script or prompt made things better or just different. The rubric below works for human reps and for AI voice agents. Copy it into a spreadsheet, score a sample of transcripts each week and track the average.

If you are tuning an agent, pair this with improving an AI voice agent from call transcripts.

The call quality scorecard

Score each criterion from 1 to 5.

ScoreMeaning
1Failed or harmful
2Weak, clear problems
3Acceptable, room to improve
4Good
5Excellent, nothing to change

Criteria

#CriterionWhat to look for
1OpeningClear who, why and permission within 20 seconds; AI disclosure if you use it
2ListeningResponds to what the person said, not to the script
3DiscoveryAsks relevant questions, one at a time, skips ones already answered
4AccuracyFacts are correct, nothing invented, says "I'll check" when unsure
5ToneCalm, plain, not pushy, matches the person's pace
6ObjectionsAcknowledges, asks, answers, then accepts a no
7Next stepClear outcome: booked, transferred, follow-up set, or polite close
8FlowNatural pauses and turn-taking, no talking over the person
9ComplianceHonours opt-outs, calling rules and disclosure
10Wrap-upDetails read back, thanks, clean ending

Maximum score is 50. Convert to a percentage if you prefer.

Red flags

Any of these should be fixed regardless of the total score.

  • Invented a price, date, guarantee or fact.
  • Ignored a request to stop or to be removed.
  • Continued after a clear no.
  • Denied being an AI when asked sincerely.
  • Gave legal, medical or financial advice.
  • Booked the wrong time, date or contact detail.
  • Talked over the person repeatedly.
  • Loop: repeated the same question or line more than twice.

AI-specific checks

CheckPass condition
InterruptionsStops speaking and responds to the interruption
SilenceChecks in rather than filling it with long monologue
Wrong number or voicemailEnds or leaves a message appropriately
Out-of-scope questionSays it will follow up and notes it
Names, emails and numbersReads back and confirms
DelayResponses arrive quickly enough to feel natural

Score sheet (copy and paste)

Call ID:
Date:
Reviewer:
Agent / rep:
Outcome (booked / transferred / follow-up / declined / no answer):

Opening        1 2 3 4 5
Listening      1 2 3 4 5
Discovery      1 2 3 4 5
Accuracy       1 2 3 4 5
Tone           1 2 3 4 5
Objections     1 2 3 4 5
Next step      1 2 3 4 5
Flow           1 2 3 4 5
Compliance     1 2 3 4 5
Wrap-up        1 2 3 4 5

Total (out of 50):
Red flags:
What went well:
One thing to change:

Weekly review routine

  1. Pull 10 to 20 calls: a few booked, a few declined, a few unanswered or short, and any that looked unusual in the summary.
  2. Read the transcript, not only the summary.
  3. Score each call using the sheet.
  4. Group the problems: opening, knowledge gaps, objections, flow.
  5. Choose the two biggest issues and change one thing at a time in the prompt or knowledge base.
  6. Test by calling your own phone, then compare the next week's average with this week's.

In Purple Voice, the Calls section keeps transcripts, AI summaries and recordings in one place, so this review does not require exporting anything.

Interpreting results

PatternLikely causeFirst fix
Low opening scoresOpening too long or vagueRewrite the first line
Low accuracy scoresMissing or conflicting factsUpdate the knowledge base
Low objection scoresNo patterns in promptAdd the top five from the objection cheat sheet
Good scores, few bookingsOffer or list problemReview the list and the offer, not the agent
Good scores, poor next-stepBooking flow weakCheck calendar connection and read-back

Tips for consistent scoring

  • Write one sentence of evidence for any score of 1 or 2.
  • Re-score two old calls each month to check you still agree with yourself.
  • Do not let one great or terrible call set the tone for the week.
  • Keep the scale the same for months, so trends mean something.

If you are still building the agent, the AI voice agent prompt template and the launch checklist help you start from a stronger place.

Try it

Run a small campaign in Purple Voice, open the transcripts in Calls and score them with this sheet. The Free plan includes one agent and 100 minutes a month, with no card. Start at voice.purplerocket.co.

Frequently asked questions

What is a call quality scorecard?

A short rubric used to rate each call on the same criteria, such as opening, listening, accuracy and outcome. It makes reviews consistent so you can see whether changes actually improve calls.

How many calls should I score each week?

Ten to twenty calls is a useful sample for most small teams, chosen across good, bad and ordinary outcomes. Start with all of them in the first week of a campaign.

Can the same scorecard be used for AI and human callers?

Yes. The criteria are about the conversation, not who held it. Add a few AI-specific checks such as handling interruptions and not inventing facts.

What score means a call is good?

That depends on your scale, but a simple rule is an average of 4 or higher with no red flags. Any red flag should trigger a fix regardless of the average.

Who should score the calls?

Someone who knows the offer and the goal of the call. For consistency, have a second person score a few of the same calls and compare.

  • quality
  • review
  • transcripts

Put your first agent on the phone today

Start on Basic for $19 a month. Upgrade to Pro when you need more agents, numbers and campaigns.