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A useful customer service quality assurance (QA) program does more than score conversations. It defines what good service looks like, reviews interactions against observable standards, gives agents actionable coaching, and uses recurring findings to improve workflows and policies. Build the program around your service goals—not a borrowed scorecard or a universal review quota.
What a customer service QA program should accomplish
Quality assurance is a repeatable improvement loop: set standards, review customer interactions, share feedback, identify patterns, and check whether coaching or process changes help. The aim is to improve both individual performance and the systems agents rely on. A score is one input to that loop, not its endpoint. Zendesk’s customer service QA program guide and quality assurance guide describe these program elements.
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Start by choosing the outcomes your organization wants to improve. Depending on the service promise, these might include correct resolutions, clear communication, respectful treatment, adherence to important procedures, or consistent service across channels. Assign ownership for standards, interaction selection, reviews, coaching, and reporting so findings have a path to action.
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Choose a small number of meaningful categories
For an initial scorecard, Zendesk recommends starting with three to five categories and refining them as the team learns what the rubric misses. That is a vendor recommendation, not an industry-wide rule. Possible categories include resolution accuracy, clarity and professionalism, empathy or personalization where appropriate, and completion of required procedures. Select categories that reflect customer needs and your service commitments rather than trying to measure every desirable behavior at once.
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Turn each category into a question a reviewer can answer from the interaction. For example: “Did the agent provide a correct resolution?” is more reviewable than “Was the agent excellent?” Define what meets expectations, when an item is not applicable, and which errors are critical. If categories have different importance, document their weights and how critical failures affect the result. Zendesk’s pass-rate guidance covers setting a defined baseline; the appropriate baseline depends on the organization and rubric.
Account for channel differences
A shared service standard can coexist with channel-specific criteria. Email reviews may emphasize completeness and clarity; chat reviews may account for pauses and multitasking; phone reviews may consider listening, pacing, and voice communication. These are examples, not mandatory categories for every team. Avoid penalizing an agent for a channel behavior that the rubric has not clearly defined.
Example starter scorecard
| Category | Observable review question | Possible evidence |
|---|---|---|
| Resolution | Was the customer’s issue addressed accurately and appropriately? | Advice, action taken, and whether the response addressed the stated need |
| Clarity | Could the customer understand the response and next steps? | Plain language, complete instructions, and a clear next step when needed |
| Professionalism and empathy | Did the agent communicate respectfully and respond appropriately to the customer’s situation? | Tone and relevant acknowledgment, assessed in context |
| Required procedure | Were applicable policy, privacy, and security steps followed? | Required verification or other documented process steps |
This is a starting framework, not a validated universal form. Add definitions, scoring choices, not-applicable handling, and critical-failure rules before using it to compare agents.
How to build and operate the program
1. Set the outcome, scope, and owners
- Name the outcome. Choose a concrete service priority, such as accurate resolutions, respectful communication, policy adherence, customer effort, or consistency across channels.
- Set the scope. Identify which teams, channels, interaction types, and risk areas the program covers.
- Assign responsibilities. Name who maintains the standards, selects interactions, conducts or oversees reviews, coaches agents, and reports trends.
- Establish a baseline before setting targets. Use the existing context and define what each target measures. Zendesk lists examples such as first-response time, internal quality, CSAT, and consistency, but its numerical examples are illustrative company goals rather than general benchmarks.
2. Draft and explain the rubric
- Write a short set of behavior-based categories tied to the chosen outcome.
- Define what meets expectations and what counts as a miss in terms reviewers can observe.
- Specify not-applicable treatment, category weights if used, and any critical-failure rules.
- Explain the standards to agents and reviewers before scoring begins; use channel-specific criteria only where the work genuinely differs.
3. Create a sampling and escalation policy
Decide how interactions are selected, how each agent and channel will be covered, and how high-risk cases will be escalated. Make the selection method systematic enough that reviewers can explain what the results represent. A review set chosen only from unusually good or unusually bad interactions will not describe routine performance reliably.
There is no universal review frequency or statistically valid sample size established here. Set a policy according to interaction volume, risk, available reviewer capacity, channel coverage, and the decisions the results need to support. Revisit it if the team, workload, or risk profile changes. Automation may expand review coverage, but it does not by itself establish that the evaluations are accurate or representative.
4. Calibrate reviewers before comparing results
- Have reviewers score the same sample interactions using the draft rubric.
- Compare category ratings and written rationales, especially where judgments differ.
- Resolve ambiguities in definitions, not-applicable handling, critical errors, and feedback expectations.
- Repeat calibration when standards change or disagreement suggests reviewers are applying the rubric differently.
Calibration helps reviewers apply the same criteria and rating system. Without it, differences in scores can reflect reviewer interpretation as much as agent behavior.
5. Turn reviews into coaching and process changes
Useful feedback identifies the observed behavior, explains its effect, and gives the agent a practical next step. Recognize effective work as well as gaps. Record follow-up and recheck relevant interactions so coaching is connected to later performance.
Look for recurring patterns across agents before treating every miss as an individual issue. A shared knowledge gap may call for training or better documentation; repeated customer friction may point to a product or workflow problem. In its 2019 executive summary, ICMI/NICE reported that 69% of surveyed contact centers handled coaching-scheduling work manually and 32% expressed interest in automating it; 67% reported coaching-effectiveness evaluation as manual and 33% expressed automation interest. These are historical survey findings, not current market estimates or evidence that a particular coaching tool improves outcomes. ICMI/NICE, 2019 executive summary.
6. Review quality with customer and operational context
Report internal QA results by agent, category, channel, and time period, then compare them with relevant customer feedback and operational outcomes. Depending on the service model, companion measures can include CSAT, customer effort, first-contact resolution, resolution time, or escalations. A single aggregate quality score can hide a weak category or a process problem.
Zendesk describes pass rates as the share of reviews that meet a defined baseline. Its Reviews dashboard documentation describes drilling into categories and contributing interactions. Use that kind of detail to investigate a pattern rather than treating the headline score as an explanation.
7. Maintain the yardstick
Revisit the rubric when customer needs, policies, products, channels, or risk change. Tell agents what changed and why. If standards or sampling rules change, annotate the change in reporting; otherwise, a shift in scores may reflect a new yardstick rather than a change in service performance.
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| Measure group | What it helps answer | How to use it |
|---|---|---|
| Internal quality score or pass rate | Did reviewed interactions meet the defined rubric or baseline? | Show the definition and review scope alongside the result. |
| Category-level results | Which behaviors or procedures are most often missed? | Inspect underlying interactions to understand what is driving the pattern. |
| Customer feedback, such as CSAT or effort | How did customers perceive the service? | Read alongside QA results; customer feedback and an internal rubric measure different things. |
| Operational outcomes, such as first-contact resolution, resolution time, or escalations | What happened to the issue after or during the interaction? | Use measures relevant to the service model and examine trade-offs rather than optimizing a single number. |
Speed alone is not a quality verdict. Zendesk’s admin guide cautions that response-time metrics do not show whether advice was incorrect, communication was rude, or a security step was missed. Pair speed measures with review evidence and customer or operational context. Zendesk QA Admin guide.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Manual reviews and software-supported QA
Manual or sampled reviews and software-supported reviews are operating approaches, not competing definitions of quality. The right implementation depends on coverage needs, review consistency, follow-up, analysis, and governance. Vendor documentation establishes described features; it does not establish that one product produces better service outcomes.
| Approach | Where it can fit | Questions to resolve |
|---|---|---|
| Manual or sampled review | A team establishing its rubric, reviewing selected interactions, or working within limited review capacity | How interactions are selected; which channels are covered; how reviewers calibrate; how coaching and trend reporting are tracked |
| Software-supported or automated review | A team seeking documented workflow support for reviews, dashboards, alerts, or follow-up | Which channels and systems are covered; how automated evaluations are validated; what access controls and data handling apply; how findings reach coaching and reporting |
Documented software examples
- Zendesk QA: Zendesk documents review, pass-rate, and dashboard workflows, including category-level analysis and contributing interactions. See its admin guide, pass-rate instructions, and Reviews dashboard guide.
- Qualtrics Contact Center Quality Management: Qualtrics documents rubric alerts and coaching-ticket follow-up in its Contact Center Quality Management documentation.
These are examples of documented capabilities, not independent product rankings or evidence of comparative impact. Evaluate the workflow against the program you are building: interaction coverage, calibration support, reviewer and coach follow-up, category analysis, integration, access controls, data handling, and the ability to validate automated evaluations. The cited documentation does not establish prices or comparative performance.
What older contact-center surveys can—and cannot—tell you
ICMI’s guide to contact-center metrics reports that 82% of surveyed contact centers measured contact quality, 95% of centers supporting inbound phone to a live representative conducted quality monitoring on that channel, and 95% conducted agent coaching based on quality-metric outcomes. The search-result guide is labeled first edition and approximately 2015, with no publication date specified; these are historical survey figures, not current adoption estimates. ICMI’s Guide To Contact Center Metrics, 1st Edition.
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Frequently Asked Questions
How often should a support agent be evaluated?
There is no universal frequency established for all teams. Set a schedule based on interaction volume, risk, channel coverage, reviewer capacity, and what decisions the reviews will inform; document the policy so changes in coverage are visible.
How many categories should a first QA scorecard have?
Zendesk recommends starting with three to five categories and revising the rubric as the team learns what it misses. Treat that as vendor guidance, not a binding standard; prioritize categories that represent your service outcomes and can be judged from observable behavior.
Should customer satisfaction be part of the QA score?
It can be useful as a companion measure, but customer feedback and an internal review rubric answer different questions. Read them together rather than assuming either one explains the other.
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Can automated quality reviews replace human reviewers?
The cited vendor materials document automation and review workflows, but do not establish that automation can replace human judgment or improve results on its own. Validate automated evaluations against the standards and interaction examples your program uses.
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