Answer
What is automated customer support QA?
Automated customer support QA replaces manual, sample-based review with consistent evaluation of every interaction. Kynesis scores calls, chats, emails and tickets against your own scorecard and returns per-criterion scores, quoted evidence, coaching feedback and compliance flags.
What changes versus manual QA
Coverage
Every interaction is evaluated rather than the handful a reviewer had time for.
Consistency
The same criteria are applied the same way across agents, queues and shifts.
Speed
Scores arrive close to the interaction, so coaching happens while it still matters.
Compliance
Hard critical-failure rules flag missed disclosures, unverified identity or prohibited statements across 100% of volume.
Channels and sources
Voice calls
Recordings are transcribed and scored against your call scorecard.
Live chat and email
Full threads are evaluated, including handoffs.
Helpdesk tickets
Zendesk, Intercom, Salesforce and HubSpot, plus any platform via API or webhooks.
Bulk upload
Transcript or CSV upload for pilots and historical backfills.
Keeping reviewers in control
Every automated evaluation can be reviewed, overridden and commented on by a QA analyst. Calibration sessions keep reviewers and the automated scoring aligned, and agents can formally dispute a score through a challenge workflow with SLA tracking.
Automation level is set per queue: full autopilot for high-volume routine contacts, partial automation where a share is human-reviewed, or human-in-the-loop where every evaluation is confirmed.
A sensible rollout
- 01
Port your existing scorecard
Start from the rubric your team already uses, including weights and critical failures.
- 02
Run a calibration pilot
Score 100–200 previously reviewed interactions and compare agreement and false positives.
- 03
Refine criteria
Use the cited evidence on disagreements to tighten wording.
- 04
Expand to full volume
Move one queue at a time, keeping human review where risk is highest.
- 05
Coach from evidence
Attach feedback threads to the real conversations behind each score.