About
Medallia Speech is a comprehensive speech and call analytics solution designed for enterprise contact centers. By leveraging advanced AI and natural language processing, it automatically transcribes 100% of customer calls and applies deep text analytics to uncover patterns in sentiment, intent, and behavior that would otherwise remain hidden in unstructured audio data. The platform powers three core contact center use cases: Conversational Intelligence for real-time and post-call analysis, Agent Coaching to help supervisors provide targeted, data-driven feedback, and Quality Management to automate call scoring and compliance monitoring at scale. Rather than sampling a small percentage of calls manually, Medallia Speech analyzes every interaction, giving leaders a statistically complete view of performance and customer needs. Medallia Speech is part of the broader Medallia Experience Cloud, which means insights from calls can be combined with digital experience signals, survey feedback, and employee listening data for a truly unified view of the customer journey. Role-based reporting dashboards make it easy for frontline managers, analysts, and executives to take action on insights quickly. Built for global enterprises, the platform offers robust administration, enterprise-grade security, and integrations with leading CRM, workforce management, and ticketing systems. It supports multiple languages and is suited for industries such as financial services, healthcare, retail, telecommunications, and travel. Medallia Speech is best suited for mid-to-large organizations seeking to move beyond manual call sampling toward AI-driven, full-coverage contact center analytics.
Key Features
- Automated Call Transcription: Converts 100% of contact center calls into searchable, structured text transcripts using AI-powered speech recognition — eliminating the need for manual call sampling.
- Conversational Intelligence: Applies NLP and machine learning to identify customer sentiment, intent, key topics, and emerging trends across all call transcripts in real time and post-call.
- AI-Driven Agent Coaching: Surfaces targeted coaching opportunities for supervisors by automatically flagging calls that exhibit specific behaviors, compliance risks, or performance gaps.
- Automated Quality Management: Replaces or augments manual QA scoring by automatically evaluating every call against configurable scorecards, ensuring consistent, scalable quality monitoring.
- Unified Experience Analytics: Integrates speech insights with Medallia's broader platform — connecting call data to survey feedback, digital signals, and employee experience data for a holistic view.
Use Cases
- Automating quality assurance by scoring 100% of contact center calls against compliance and performance scorecards without manual reviewer effort.
- Identifying recurring customer pain points and complaint themes by analyzing speech patterns and keywords across thousands of call transcripts.
- Providing contact center supervisors with AI-generated coaching recommendations based on agent behavior detected in call recordings.
- Monitoring regulatory compliance in industries like financial services or healthcare by flagging calls containing prohibited language or missing required disclosures.
- Connecting call center insights with broader CX data to understand how contact center interactions influence overall customer loyalty and satisfaction scores.
Pros
- Full-Coverage Analysis: Analyzes 100% of calls rather than relying on random sampling, providing statistically reliable insights and reducing blind spots in quality and compliance monitoring.
- Deep Platform Integration: Native integration with the Medallia Experience Cloud allows speech insights to be combined with CX, digital, and EX data streams for cross-channel analysis.
- Enterprise Security & Scalability: Built for large global organizations with enterprise-grade security, multi-language support, and robust administration tools for managing complex programs.
Cons
- Enterprise-Only Pricing: Medallia Speech is positioned as an enterprise solution with custom pricing, making it inaccessible or cost-prohibitive for small and mid-sized contact centers.
- Complex Implementation: Deploying and configuring the platform for large, multi-site contact centers requires significant IT and change management effort, extending time to value.
- Requires Medallia Ecosystem Buy-In: The deepest value is realized when used alongside other Medallia platform modules, which may be limiting for organizations already invested in competing CX stacks.
Frequently Asked Questions
What is Medallia Speech?
Medallia Speech is an AI-powered speech analytics solution for enterprise contact centers. It automatically transcribes customer calls and applies natural language processing to uncover insights about sentiment, intent, agent performance, and customer trends at scale.
How does Medallia Speech differ from traditional call recording?
Traditional call recording simply stores audio files. Medallia Speech goes further by transcribing every call and using AI to analyze the content — automatically scoring quality, detecting sentiment, identifying compliance risks, and surfacing coaching opportunities without manual review.
What contact center use cases does Medallia Speech support?
The platform supports three primary use cases: Conversational Intelligence (AI-driven insights from call content), Agent Coaching (targeted performance feedback based on call analysis), and Quality Management (automated call scoring and compliance monitoring).
Does Medallia Speech integrate with other systems?
Yes. Medallia Speech integrates with CRM platforms, workforce management systems, ticketing tools, and other enterprise software. It also connects natively with the broader Medallia Experience Cloud to unify call data with survey, digital, and employee experience signals.
Is Medallia Speech suitable for businesses outside of large enterprises?
Medallia Speech is primarily designed and priced for enterprise-scale contact centers. Smaller organizations with lighter call volumes or simpler analytics needs may find more proportionate value in smaller-scale or standalone speech analytics tools.
