Voxjar

AI-powered call center quality monitoring and conversation analytics platform.

4.5 (6)
Daniel NikulshynRecensito da Daniel Nikulshyn·Aggiornato maggio 2026

Panoramica

Voxjar is a conversation intelligence platform designed to help contact centers scale and modernize their quality assurance programs. It combines call recording, AI-driven analytics, and customizable scorecards to evaluate agent performance across a much larger share of customer interactions than manual review alone. The platform automatically transcribes and analyzes calls, surfacing trends, compliance issues, and coaching opportunities. Teams can build their own scoring criteria, track KPIs over time, and integrate insights into agent feedback workflows to improve customer experience and operational efficiency.

Funzionalità chiave

  • AI call transcription and analysis
  • Custom QA scorecards
  • Automated agent performance scoring
  • Conversation search and keyword tracking
  • Coaching and feedback workflows
  • Reporting and KPI dashboards

Casi d’uso

Scale QA across all customer calls

Automatically transcribe and score a high volume of agent calls using custom scorecards, replacing manual sampling with comprehensive AI-driven quality assurance coverage.

Identify compliance risks in conversations

Search calls and track keywords to surface compliance violations, script adherence issues, and risky language across agent interactions before they escalate.

Coach agents with data-backed feedback

Use automated performance scores and conversation insights to guide targeted coaching sessions, helping agents improve on specific behaviors and KPIs over time.

Track contact center KPIs over time

Monitor agent and team performance trends through reporting dashboards, giving QA managers visibility into operational efficiency and customer experience metrics.

Pro & contro

Pro

  • Automates QA across a high volume of calls
  • Customizable scorecards and evaluation criteria
  • Combines transcription, analytics, and coaching tools
  • Helps surface compliance and training gaps

Contro

  • Primarily focused on voice channels
  • Requires setup and tuning to match team workflows
  • May be more than small teams need

Recensioni

4.5

Media su 6 valutazioni.

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G

Gunnar Eriksson

Does the job

Pretty happy overall. Custom QA scorecards just works and helps surface compliance and training gaps. but no dealbreakers — I'd recommend it to a friend without hesitating.

G

George Papadakis

Does the job

Pretty happy overall. AI call transcription and analysis just works and helps surface compliance and training gaps. May be more than small teams need can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

L

Linda Petersen

Does the job

Pretty happy overall. AI call transcription and analysis just works and customizable scorecards and evaluation criteria. but no dealbreakers — I'd recommend it to a friend without hesitating.

T

Tomáš Novák

Does the job

Pretty happy overall. Custom QA scorecards just works and customizable scorecards and evaluation criteria. but no dealbreakers — I'd recommend it to a friend without hesitating.

P

Pierre Dubois

Use it every day

Honestly didn't expect to like it this much. Custom QA scorecards is exactly what I needed, and combines transcription, analytics, and coaching tools. I do wish requires setup and tuning to match team workflows, but I reach for it almost every day now and it just clicks.

D

Devin Walker

Solid for our team

We rolled this out across the team last quarter and combines transcription, analytics, and coaching tools. AI call transcription and analysis fits neatly into how we already work, and custom QA scorecards removed a step we used to do by hand. Requires setup and tuning to match team workflows, which is the main caveat, but it has held up under daily use.

Q&A

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