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A QA scorecard is a standardized evaluation form that contact centers use to measure agent performance against defined quality criteria on every customer interaction. It assigns weighted scores across categories like compliance, communication, and issue resolution, giving QA managers an objective, repeatable way to assess call quality.
Without a scorecard, quality evaluation is subjective. Two QA analysts listening to the same call may grade it differently based on personal judgment. A QA scorecard eliminates that inconsistency by defining exactly what "good" looks like, with measurable criteria and clear scoring rules. For mid-market BPOs handling thousands of calls daily, this consistency is the difference between a functioning QA program and guesswork.
A QA scorecard differs from a CSAT survey because it measures how the agent handled the interaction (process and compliance), not how the customer felt about it. Both matter, but they answer different questions.
| Category | Typical Weight | What It Measures |
|---|---|---|
| Compliance & regulatory | 25-35% | Required disclosures, DPDP/data privacy adherence, authentication |
| Communication & soft skills | 20-30% | Tone, empathy, active listening, professionalism |
| Process adherence | 20-25% | Script compliance, hold procedures, transfer protocols |
| Issue resolution | 15-20% | First-call resolution, accuracy of information provided |
| Documentation | 5-10% | CRM notes, disposition codes, follow-up actions |
For a step-by-step walkthrough on building your own scorecard from scratch, read the full guide: Creating an Effective Customer Service QA Scorecard.
A QA scorecard should include weighted evaluation categories (compliance, communication, process adherence, resolution), a clear scoring scale (typically 1-5 or percentage-based), and defined criteria for each score level. The best scorecards also include a section for evaluator comments and coaching notes.
Industry standard is 5-10 calls per agent per month for manual QA. However, automated call scoring eliminates this constraint entirely by evaluating 100% of interactions, removing sampling bias.
Most contact centers target an average QA score between 80% and 90%. Scores below 75% typically trigger coaching interventions, while scores above 90% indicate strong performance. The specific threshold depends on your scorecard design and industry requirements.
Manual scorecard evaluation covers 2-5% of calls at best. Gistly applies your scorecard criteria to 100% of conversations automatically, with results available within 48 hours of deployment. No sampling, no bias, no backlog. See how automated QA scoring works.
Gistly audits every conversation automatically — compliance flags, QA scores, and coaching insights in 48 hours.