AI-Powered Scoring
Every interaction scored, not just a small sample.
Manual QA usually only covers a tiny fraction of calls, and the calls that do get reviewed are often graded inconsistently or even with bias. MiaRec Auto QA automatically evaluates your conversations against criteria and scorecards you define based on your unique needs.
Every agent and every interaction is measured against the same standard, so what you see reflects how your team is actually performing rather than the few calls someone had time to grade. As a result, you get complete and consistent quality data across 100% of your relevant conversations (no more spot checks).
AI-Assisted Feedback
Coaching notes written for every evaluation
For each scored interaction, MiaRec highlights what went well, what could be improved, and specific coaching tips. Your supervisors do not have to write all of this from scratch for every agent.
This frees your supervisors to spend their time coaching instead of writing up feedback. Agents also get clear, specific, and consistent guidance on every evaluation, so they know exactly what to keep doing and what to work on.
Notes & Collaboration
Turn feedback into a two-way conversation
Supervisors can add notes to interactions and reports, agents can reply to those notes, and notes can be marked as resolved once they are handled. Everything stays attached to the interaction it refers to.
This means coaching is not just a score handed down with no discussion. Agents can respond, ask questions, and close the loop with their supervisor, which makes the feedback far more likely to actually change how they handle the next call.
QA Workflow Management
Keep every evaluation moving and accountable
MiaRec tracks evaluations through clear statuses such as needs review, disputed, and approved, and lets you monitor performance across your review process. You can always see where each evaluation stands.
This keeps your quality process organized and on schedule. Nothing gets stuck or forgotten, disputes are handled in the open, and you have a clear record of how reviews are progressing across your whole team.
Built on Full Conversation Intelligence
Scores backed by what was actually said
Every Auto QA evaluation sits on top of MiaRec's transcription, summarization, and sentiment. The scoring is grounded in the real conversation, with the transcript and context available right alongside the score.
This matters most when a score is questioned. Instead of arguing from memory, the supervisor and agent can look at the same interaction and the same evidence together, which makes evaluations fairer and removes the back-and-forth over what really happened on the call.
