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Optimize Quality Assurance with Call Criteria’s AI Solutions

Call Criteria provides AI-powered, human-verified call quality monitoring and speech analytics for contact centers to improve compliance and sales performance.

Overview

Call Criteria is a leading provider of contact center quality assurance and speech analytics solutions. Founded with the mission to provide more accurate and actionable call monitoring, the company serves a diverse range of industries, including financial services, healthcare, automotive, insurance, and retail. Call Criteria specializes in helping organizations with high-volume contact centers move from sampling a small fraction of their calls to analyzing 100% of their interactions.

The company’s core offering revolves around its proprietary cloud-based platform that combines automated speech recognition (ASR) with human intelligence. This allows businesses to monitor for compliance, evaluate agent performance, and gain deep insights into customer sentiment without the overhead of a massive internal QA team. Since its inception, Call Criteria has established a significant market presence by focusing on the "accuracy gap" left by purely automated tools.

At its heart, Call Criteria is a data-driven partner. Their services include detailed scorecards, compliance reporting, sales conversion analysis, and agent coaching modules. By providing a third-party, objective perspective on call quality, they help organizations mitigate legal risks, improve customer satisfaction (CSAT), and optimize sales scripts. Their history is marked by continuous innovation in the QA space, evolving from a service-heavy model to a technology-first platform that retains the essential element of human oversight.

Positioning

Call Criteria positions itself as the "Gold Standard for Accuracy" in the Quality Assurance and Speech Analytics market. They strategically target mid-to-large enterprise contact centers that are dissatisfied with the inaccuracies of purely automated AI tools but lack the resources to scale an internal QA department manually.

Their messaging focuses on the "Human-Verified" advantage. While competitors like Gong or Chorus focus heavily on Revenue Intelligence for B2B sales teams, Call Criteria positions itself as a broader operational and compliance necessity for high-stakes B2C and B2B environments. They differentiate themselves from legacy players (like NICE or Verint) by offering a more agile, modern interface and a specialized focus on the verification process rather than just the storage of recordings.

The brand is built on three pillars: Accuracy, Compliance, and Coaching. Their positioning emphasizes that data is only useful if it is correct; by guaranteeing higher accuracy rates than AI-only competitors, they position themselves as the premium choice for industries where a single compliance failure can result in significant fines. This "peace of mind" messaging resonates strongly with Chief Compliance Officers and VPs of Customer Success who require defensible data for regulatory and performance reviews.

Differentiation

The primary differentiator for Call Criteria is its Hybrid QA platform, which integrates sophisticated Speech Analytics with a robust Human-Verification layer. Unlike many competitors who rely solely on Large Language Models (LLMs) or basic keyword spotting, Call Criteria uses AI to ingest and screen 100% of calls, then routes critical moments to human analysts for verification. This ensures 99%+ accuracy, a threshold rarely met by automated systems alone.

Key technical advantages include:

  • Custom Scorecards: Highly flexible scoring engines that can be tailored to specific industry regulations (TCPA, HIPAA, PCI) or brand-specific sales scripts.
  • Real-time Dashboarding: A centralized portal that translates raw call data into actionable coaching insights, identifying "coachable moments" automatically.
  • Calibration Tools: Built-in features that allow clients to compare their internal QA scores against Call Criteria’s objective findings to ensure alignment.
  • Sentiment and Behavioral Analysis: Advanced NLP capabilities that go beyond words to detect tone, stress, and intent, providing a deeper understanding of the customer experience. By focusing on the "Why" behind call performance rather than just the "What," their product suite enables managers to implement targeted training programs that directly correlate to increased conversion rates and reduced churn.

Ideal Customer Profile

  • Company Size: Mid-market to Enterprise (100+ agents).
  • Industries: Financial Services, Healthcare, Insurance, Debt Collection, BPO, and High-Ticket Retail.
  • Technical Maturity: Moderate. Companies that already record their calls but are overwhelmed by the volume of audio and cannot effectively monitor more than 1-2% of calls internally.
  • Budget Range: Organizations that prioritize 'Accuracy and Compliance' over 'Lowest Cost.' They understand that a single compliance fine or missed sales opportunity costs more than a premium QA service.
  • Team Composition: Typically involves a VP of Customer Experience, Director of Sales, or Chief Compliance Officer who needs defensible data for board-level reporting.

Best Fit

  1. High-Compliance Environments: Organizations in healthcare, finance, or debt collection that face heavy regulatory scrutiny and cannot rely on the 'hit-or-miss' accuracy of pure AI transcription.
  2. Complex Sales & Support Workflows: Businesses with nuanced scripts where 'sentiment' isn't enough, and they need to verify specific rebuttals, legal disclosures, or technical troubleshooting steps.
  3. Outsourced BPO Management: Companies using third-party call centers that need an objective, external 'source of truth' to verify that the BPO is meeting contractual Quality Assurance (QA) standards.
  4. Closing the 'AI Gap': Firms that have tried automated speech analytics but found the 70-80% accuracy rate insufficient for high-stakes decision-making and need human-verified data to reach 99%+ accuracy.

Offerings

  • Managed QA Services: The flagship offering where Call Criteria provides the platform and the human analysts to score your calls based on custom rubrics.
  • Self-Managed Platform: For companies with large internal QA teams who want to use Call Criteria’s superior dashboard, workflow tools, and AI-assisted scoring but handle the evaluations themselves.
  • Compliance Auditing: Specialized packages focused exclusively on legal and regulatory risk, providing 'Pass/Fail' reporting on mandatory disclosures.
  • Performance Coaching Modules: Add-on features that allow managers to push 'micro-learning' clips and feedback directly to an agent's desktop.
  • AI Transcription + Human Verification: A hybrid tier that provides the speed of AI transcription with a secondary layer of human 'spot-checking' for high-value interactions.

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Buying Guide: Call Criteria

Everything you need to evaluate Call Criteria— from features and pricing to implementation and security.

Introduction

Welcome to the comprehensive evaluation guide for Call Criteria. In an era where many organizations are rushing to automate quality assurance (QA) entirely through AI, Call Criteria offers a distinct, high-accuracy alternative: Human-Verified Call Analytics. This guide is designed for CX leaders, compliance officers, and sales directors who need to move beyond basic transcription and sentiment analysis toward 99%+ accuracy in call monitoring.

Throughout this guide, you will learn how Call Criteria bridges the gap between machine learning and human intuition. We will explore the platform’s unique hybrid approach, its integration capabilities with leading CCaaS providers, and the specific business scenarios where its high-touch verification model outperforms traditional automated speech analytics. By the end of this guide, you will have the framework necessary to determine if Call Criteria is the right partner to de-risk your compliance and elevate your agent performance.

Key Features

  • Human-in-the-Loop (HITL) Verification: Unlike pure AI tools, Call Criteria utilizes trained human analysts to verify AI-generated insights, ensuring 99%+ accuracy on call scoring and compliance checks.
  • Dynamic Scorecards: Customizable evaluation forms that can be tailored to different departments (Sales vs. Support) or specific campaigns, allowing for granular performance tracking.
  • Real-Time Alerts & Notifications: Immediate 'Critical Fail' alerts sent to supervisors when a high-risk compliance violation occurs, allowing for rapid intervention.
  • Coaching & Calibration Tools: A dedicated interface for managers to leave feedback, track agent improvement over time, and ensure internal QA teams are aligned with Call Criteria’s analysts.
  • Advanced Dashboard & Analytics: Visualized data reporting that identifies trends across teams, locations, or individual agents, highlighting systemic issues in script adherence or customer sentiment.
  • Dispute Management Workflow: A built-in system for agents or managers to contest a score, ensuring a transparent and fair QA process that maintains employee morale.

Use Cases

  • Financial Services Compliance: A debt collection agency uses Call Criteria to ensure 100% of calls include the 'Mini-Miranda' warning. The human verification prevents the 'false positives' that AI often triggers due to accents or background noise.
  • Healthcare Patient Services: A medical provider monitors patient intake calls to ensure HIPAA compliance and that agents are accurately capturing insurance information, leading to a 15% reduction in billing errors.
  • High-Velocity Sales: An insurance brokerage uses the platform to identify the 'Top Performer' behaviors. By analyzing successful closes, they found that specific rebuttal techniques led to a 20% increase in conversion rates across the floor.
  • Crisis Management: During a product recall, a retail brand scaled their QA overnight using Call Criteria to ensure agents were delivering the correct safety information and empathy, protecting the brand's reputation.

Pricing Models

  • Per-Minute or Per-Call Pricing: Most engagements are based on a consumption model. You pay for the volume of audio analyzed and the depth of the scorecard.
  • Tiered Volume Discounts: As call volume increases, the cost per minute/call typically decreases, making it scalable for large enterprise contact centers.
  • Managed Service Inclusion: Pricing generally includes the 'Human-in-the-Loop' service, meaning you aren't just paying for software, but for the labor of the analysts as well.
  • Implementation Fees: One-time setup fees may apply for custom scorecard builds and technical integrations with your telephony stack.
  • Contract Terms: Typically offered as annual or multi-year agreements, though pilot programs are often available to prove ROI.

Technical Requirements

  • Audio Format Compatibility: Supports standard formats including .mp3, .wav, and .m4a.
  • Browser Support: Modern web-based dashboard compatible with Chrome, Edge, Safari, and Firefox (no local software installation required for managers).
  • Bandwidth: Standard office internet speeds are sufficient for dashboard access; however, high-speed connections are recommended for seamless playback of call recordings.
  • API Access: Requires the ability to generate API keys from your CCaaS or CRM provider for automated data ingestion.
  • Security Infrastructure: Ability to whitelist Call Criteria IP addresses if your organization uses strict firewall or VPN configurations.

Business Requirements

  • QA Process Maturity: Organizations should have an existing QA framework or a clear understanding of the KPIs they want to measure (e.g., script compliance, empathy, legal disclaimers).
  • Stakeholder Buy-in: Success requires alignment between Sales/Support leadership (who receive the feedback) and Compliance/Legal (who set the standards).
  • Feedback Loop Integration: A commitment to using the data for coaching. The tool provides the insights, but the business must have managers ready to act on the 'coachable moments' identified.
  • Clear Scripting: For Call Criteria to be most effective, businesses should have documented scripts or call flows that the analysts can use as a benchmark for evaluation.

Implementation Timeline

  • Phase 1: Discovery & Calibration (Weeks 1-2): Call Criteria’s team works with you to understand your scorecards, compliance requirements, and specific 'fail' criteria.
  • Phase 2: Technical Integration (Weeks 2-3): Setting up the API or SFTP link to transfer call recordings from your CRM or CCaaS platform to the Call Criteria dashboard.
  • Phase 3: Pilot / Testing (Weeks 3-4): A small batch of calls is processed. You review the evaluations to ensure the human analysts are scoring consistently with your internal standards.
  • Phase 4: Full Rollout (Week 5+): Scaling to the agreed-upon volume of calls. Training for your managers on how to navigate the dashboard and use the coaching tools.
  • Note: Timelines are generally faster than pure software deployments because Call Criteria handles the 'heavy lifting' of the analysis workforce.

Support Options

  • Dedicated Account Managers: Enterprise clients are typically assigned a specific point of contact to assist with scorecard adjustments and business reviews.
  • Calibration Sessions: Regularly scheduled meetings between your team and Call Criteria’s lead analysts to ensure scoring remains perfectly aligned with your evolving brand standards.
  • Online Knowledge Base: Access to documentation for API integrations, dashboard navigation, and best practices for coaching.
  • Technical Support: Standard help-desk support for platform issues, with prioritized response times for enterprise-tier customers.
  • Professional Services: Consulting services available for deep-dive compliance audits or specialized training for internal QA teams.

Integration Requirements

  • Telephony/CCaaS Integration: Direct integration with major platforms like Five9, RingCentral, Genesys, NICE CXone, and Convoso.
  • CRM Connectivity: Ability to push scoring data back into Salesforce, HubSpot, or proprietary CRMs to view QA scores alongside lead/customer records.
  • Data Transfer: Support for secure SFTP, Amazon S3 buckets, and RESTful APIs for automated call ingestion.
  • Single Sign-On (SSO): Support for SAML-based SSO to manage user access securely across the enterprise.
  • Webhook Support: Real-time notifications for 'Critical Fails' can be sent via webhooks to Slack, Microsoft Teams, or email.

Security & Compliance

  • Certifications: Call Criteria maintains SOC 2 Type II compliance, ensuring rigorous standards for data security and availability.
  • Regulatory Alignment: Designed to meet the requirements of HIPAA (Healthcare), PCI-DSS (Payment Cards), and TCPA/FDCPA (Telemarketing and Debt Collection).
  • Redaction Services: Automated and human-verified redaction of PII (Personally Identifiable Information) and PCI (credit card data) from audio files and transcripts.
  • Data Encryption: All data is encrypted at rest and in transit using industry-standard AES-256 encryption.
  • Role-Based Access Control (RBAC): Granular permissions to ensure only authorized personnel can listen to calls or view specific performance data.

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