Here are a few core elements a QA program must deliver to really serve agents.
Regular calibration so everyone evaluates the same
Calibration is where QA teams, leadership, and sometimes the agents listen to the same calls and align on how they ' ll score them.
Do this regularly- ideally weekly- to keep evaluators consistent, catch drifts quickly, and respond to changes( such as products, services, or policies) before they cause confusion within the team. Weekly calibration also helps QA staff surface ambiguous rubric items so you can fix them fast.
Be specific, timely, and subjective in the right way
Feedback should be delivered while the call is still fresh in the agent’ s mind, ideally, within a few days, not weeks or months later.
A QA from early in the month( or worse, a quarter ago) would make the agent question,“ Why is this being brought to my attention now?”
Every piece of feedback should include three things.
1. Where the issue occurred. Identify the exact timestamp or section of the call( for example, two minutes and five seconds into the call).
2. What went wrong. Provide an objective description of the behavior( for example, the agent placed the caller on hold without obtaining permission).
3. How to improve. Offer a clear, actionable suggestion( for example, before placing a caller on hold, always ask for
14 CONTACT CENTER PIPELINE permission, explain the purpose, and provide an estimated hold time).
This balance keeps feedback subjective in tone- personal, human, and constructive: while still rooted in objective evidence from the call. Agents appreciate this level of detail because it feels fair and actionable rather than vague or punitive.
One-on-one coaching for wins and misses
I feel that feedback shouldn ' t be reserved only for when something goes wrong. Schedule one-on-one sessions that celebrate great calls as well as those that require corrections. Hearing " here ' s what you did well " boosts an agent ' s morale and makes corrective coaching feel less threatening.
I ' ve noticed that using the actual call during the session helps the agent to understand what needs tweaking faster than reading about it in the QA form notes.
Make scorecards teachable, not just " tallyable "
Scorecards must do more than add up points. Add a feedback field to each scored item so the agent always knows why they lost points on that item and how to improve while it is in front of them, top-of-mind: rather than finding out at the end of the QA form.
Keep the rubric tightly focused( five to seven high-value items) and pair each numeric score with a short, specific coaching line or a suggested phrase the agent can use on the next call. A clear, concise comment is far more helpful than a vague " missed greeting " line.
Apply progressive coaching: warn, don ' t punish( unless necessary)
I like to give agents the benefit of the doubt. Where most performance issues stem from training gaps, not willful misconduct, start with coaching and corrective notes. If this behavior persists, move to a verbal warning, and finally to written warnings according to your progressive discipline policy.
For small misses( e. g., forgetting to read a call reference number), an initial friendly warning with clear expectations and tips for remembering( like a sticky note on the agent ' s monitor), plus a reminder that continued misses will affect scores, often corrects the problem without damaging morale.
However, not all issues can- or should- begin with gentle correction. For serious matters, swift and decisive action is essential, particularly when patterns or trends emerge. Here are some examples.
• Agent rudeness or hostility to callers( including the use of profanity).
• Unprofessional conduct( such as laughing at a caller).
• Falsifying information.
• Failure to comply with legal or regulatory requirements( such as improper disclosures, call authentication failures, and data security breaches).
These situations may bypass progressive coaching altogether and move directly to formal investigation and disciplinary steps. These can include written warnings or separation from employment, depending on the severity of the incidents and company policy.
QA plays a critical role here by accurately documenting incidents, preserving call evidence, and escalating concerns through the appropriate compliance and HR channels.
This becomes especially important when agents are issued written warnings or are exited due to serious quality
AI AND QA
Thanks to AI-powered QA platforms, many modernized centers can now audit 100 % of interactions- voice or digital- rather than relying on small, randomized samples of agent interactions.
But full coverage doesn ' t mean infallible coverage. AI tools excel at detecting keyword omissions, authentication slips, or script deviations. But they sometimes miss things when tone of voice, accents, context, or authentic empathy are at play, which are often what make or break an interaction.
I believe the most effective QA programs should use AI for broad coverage, flagging calls and directing them to human reviewers for validation and coaching, especially on complex calls.