Conversation Analytics

Your conversation data, transformed into strategic data assets

If you’re not analyzing your conversation data, you’re missing out on critical product feedback, voice of the customer insights, churn signals, and more

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Trusted by 100K+ team members around the globe

Beyond Random QA

Stop relying on random sampling. Use AutoQA to analyze 100% of interactions and surface trends, uncover issues, and drive action.

Power Deeper Analysis

QA is the foundation for Root Cause Analysis. Combine automation, custom metrics, and human judgment to uncover what's really happening.

Drive Action

Insights influence product roadmap, risk mitigation, coaching, strategic decisions, and more. It’s not about scores, it’s about outcomes.

Centralize, analyze, and act on your Conversation Data

Ingest & Transform

Bring structure to unstructured conversations

Whether it’s a support ticket, sales call, or onboarding email, MaestroQA ingests both experience data (conversation data) and operational data (churn data, ARR by customer, etc), allowing you to analyze each independently or combine them to uncover richer trends.

Effortlessly ingest from sources, including DWH, support tools, CRMs, and custom pipelines

Normalize and unify chats, calls, screen recordings, and structured metadata

Build structured datasets that can be searched, filtered, and ready for analysis at scale

Bring structure to unstructured conversations
Unlock multi-faceted analytics across all your conversation data

Analyze

Unlock multi-faceted analytics across all your conversation data

With MaestroQA, you can define signals that reflect your priorities and explore them in multiple ways—whether that’s creating dashboards, running custom metrics across 100% of conversations, or digging into ad hoc analysis. Our platform gives you full control: customize prompts, combine LLMs with rule logic, and avoid blackbox AI so you can trust every result.

Choose from a variety of open-source LLMs that run securely on your business data

Build reporting dashboards for all teams and roles—agents, managers, or executives to monitor what matters most

Run custom metrics across 100% of tickets to uncover systemic issues and track trends

Slice data in worksheets, filter by custom fields, and ask ad hoc questions with AskAI

Act

Move from insight to impact

MaestroQA doesn’t stop at analytics—we embed the workflows that turn insights into action. From targeted QA and coaching to downstream reporting, our platform makes it easy to operationalize conversation data across teams and tools.

Targeted QA: Drill into AI-flagged trends, filtered ticket sets, or workflow hotspots to perform deep reviews and uncover root causes

Coaching across teams: Deliver actionable feedback to team members across the business using insights tied to conversation analytics

Export: Push AI-enriched insights and structured signals directly to your data warehouse to power downstream reporting and decision-making

Flexible collaboration: Share insights across functions—support, product, compliance, sales—without being limited to a single use case

Move from insight to impact
Designed for scale and control

Governance

Designed for scale and control

We combine flexible analytics with enterprise-grade governance, customizable access, and scalable infrastructure.

Role-based access control and auditability

Infrastructure built to handle massive volumes cost efficiently

A strategic layer for every team

Most companies rely heavily on operational metrics, but the signals hidden in conversations—churn risk, product feedback, compliance gaps—are often overlooked. Ignoring this data means missing the patterns that drive retention, product adoption, compliance success, and more. To be truly data-driven, interaction data needs to be given the same rigor and priority as quantitative metrics. MaestroQA makes this possible, giving every team tailored views into the insights that matter most.

From product and risk to operations, sales, and executive strategy—teams across the org can explore trends, drill into specific moments, and act faster. Examples include...

Product

Spot feature confusion early and capture feedback to shape roadmap decisions

CX and Ops

Detect customer friction patterns and uncover process inefficiencies

Compliance

Monitor conversations for missed disclosures, risky language, or vulnerable customers

Support

Identify coaching gaps, measure resolution quality, and strengthen agent performance

Executives and analysts

Align strategic decisions with real customer interactions instead of anecdotal data

Revenue and growth

Surface churn signals, track conversion blockers, and inform retention strategies