Best Call Center Analytics Software for QA Reporting

QA managers and sales operations directors running call center reporting programs need analytics software that does more than record calls. The best 5 platforms in 2026 score calls automatically against your criteria, surface agent-level performance trends, and generate reports that managers can act on without manually reviewing hours of audio.

This guide covers the top call center analytics software for QA reporting, how to evaluate them, and which tool fits each use case.

Selection Criteria

Evaluating these platforms involved four weighted factors: call coverage (does the platform score 100% of calls or require manual selection), scoring depth (criterion-level evidence versus aggregate scores), QA reporting (per-agent scorecards, trend analysis, compliance alerts), and coaching integration (whether QA findings connect to a training or coaching workflow).

1. Insight7

Insight7 scores 100% of call volume automatically against weighted, configurable criteria. Every score links to the exact transcript quote that generated it, so QA managers can review evidence without re-listening to recordings. The platform generates per-agent scorecards clustering multiple calls per period, shows criterion-level trend lines, and includes an alert system for compliance violations and performance drops.

The AI coaching module adds a direct path from QA score to training assignment: when an agent's criterion score drops below threshold, the platform proposes a targeted roleplay scenario. Supervisors approve before it reaches the agent. Manual QA teams typically cover only 3-10% of calls, according to ICMI contact center benchmarks. Insight7 covers 100%.

Best suited for: Contact centers and sales teams that need both QA reporting and coaching in one platform, with evidence-backed scoring and full call coverage.

Con: Out-of-box scoring requires 4-6 weeks of calibration to align with human judgment on team-specific criteria.

2. Gong

Gong is the dominant conversation intelligence platform for enterprise B2B sales. It records and transcribes calls, identifies deal risks using AI, and provides revenue intelligence that forecasts which opportunities are likely to close. Its QA capabilities are strongest for complex, multi-touch sales cycles where call analytics connects to pipeline data.

Best suited for: Enterprise B2B sales teams where deal intelligence and pipeline forecasting are as important as call quality scoring.

Con: Primarily designed for sales, not contact center QA. Less effective for compliance-heavy environments or high-volume inbound service calls.

3. Salesloft

Salesloft combines call recording with a sales engagement platform that includes cadence management, email tracking, and conversation analytics. QA reporting within Salesloft shows rep performance on calls in context of broader sales engagement metrics.

Best suited for: Sales teams that want call analytics integrated with outbound cadence management and rep activity tracking in one platform.

Con: QA scoring is less configurable than purpose-built QA platforms; criterion-level customization is limited compared to dedicated analytics tools.

4. Chorus by ZoomInfo

Chorus by ZoomInfo records and analyzes sales calls, providing coaching playlists, deal alerts, and conversation analytics for B2B sales teams. It integrates tightly with Salesforce and HubSpot CRM.

Best suited for: B2B sales teams already using ZoomInfo for prospecting data who want call analytics integrated in the same data ecosystem.

Con: Since the ZoomInfo acquisition, some users report reduced development velocity. Less suited for inbound service center use cases.

5. Dialpad AI

Dialpad provides built-in AI call transcription and analysis for contact centers and sales teams as part of its business phone platform. It surfaces coaching moments, sentiment analysis, and call summary reports from within the same communications platform.

Best suited for: Teams that want call analytics embedded in their business phone system rather than as a standalone analytics layer.

Con: Analytics depth is more limited than purpose-built QA platforms; primarily suitable for teams with moderate scoring requirements.

How to analyse call recordings for QA?

Analyzing call recordings for QA requires three steps: first, define a scorecard with specific weighted criteria (compliance language, empathy, objection handling, closing behavior) and behavioral anchors for each criterion. Second, process all recordings against the scorecard automatically, not a 5-10% sample. Third, review per-agent criterion-level results to identify specific coaching targets. Forrester research on contact center quality practices notes that teams using automated 100% call coverage reduce compliance incidents significantly compared to those using sampled QA reviews. Platforms like Insight7 handle steps two and three automatically, linking scores to transcript evidence.

Which tool helps in analyzing sales calls and improving sales techniques?

For sales teams focused on technique improvement alongside analytics, Insight7 and Gong are the leading options. Insight7 is best suited for teams that need criterion-level QA scoring with direct coaching integration. Gong is best suited for enterprise B2B teams that need deal intelligence and pipeline forecasting tied to call behavior analysis.

If/Then Decision Framework

If you need 100% call coverage with criterion-level scoring → then Insight7 is best suited for this use case.

If your primary use case is B2B sales deal intelligence → then Gong is best suited for pipeline-tied call analytics.

If you need call analytics integrated with sales engagement cadences → then Salesloft connects both workflows in one platform.

If your team uses the same phone platform for analytics and communication → then Dialpad is best suited for unified deployment.

Comparison Table

FAQ

What are the best call intelligence software options for conversation analytics?

The top options for conversation analytics with QA scoring are Insight7, Gong, and Chorus by ZoomInfo. For call center QA, Insight7 offers the most configurable criterion-level scoring environment with direct coaching integration. For B2B sales intelligence, Gong leads on pipeline and deal-risk features.

Which CRM is best for call centers integrating with analytics software?

Salesforce and HubSpot are the most common CRMs used alongside call center analytics platforms. Most analytics tools, including Insight7, integrate directly with both via API, enabling call scores and coaching data to flow into the CRM record so managers have call quality context alongside pipeline and ticket data.

Ready to see how call analytics connects QA scoring to coaching? See Insight7's full call center analytics platform.