Analyze every interaction, detect risks early, and connect agent performance with voice-of-customer insights that improve experience and inform product decisions.






Most QA programs generate scores and reports, but offer little insight into what actually drives customer experience or business outcomes, limiting QA to an operational role.
Most QA still relies on samples, not the full picture. Even AI may score interactions in isolation, missing broader patterns.
Issues are found after they spread. By the time they appear in reports, friction, repeat contacts, and costs are already rising throughout the operation.
Traditional QA measures compliance, but rarely shows how behaviors affect CSAT, retention, resolution, or efficiency.
Manual reviews cover only a small share of conversations. That limits visibility across teams, channels, and vendors.
Uncover the issues support is covering for, and prioritize the fixes that reduce workload, recurring friction, and customer pain.




Birdie provides multiple ways to analyze interactions, understand performance drivers, and turn service conversations into operational improvements.
Create customizable evaluation criteria that reflect your service standards. Measure behaviors consistently across teams, vendors, and channels


Build structured QA scorecards that go beyond internal checklists. Align evaluations with the moments and behaviors that shape customer experience.

Connect QA programs to the outcomes the business actually cares about. Measure service quality in a way that supports satisfaction, retention, and efficiency.

Standardize how quality is defined and evaluated across the organization. Give every team and partner the same service expectations and framework.
Understand which service behaviors actually affect customer outcomes. Connect quality signals with CSAT, NPS, churn indicators, and contact drivers.


Replace manual sampling with AI-powered QA across 100% of conversations. Analyze interactions at scale across channels with automated scoring and risk detection.

Reveal what went wrong, why it happened, and how often it occurs. Analyze patterns across interactions to uncover the drivers behind service issues and dissatisfaction.

Break down quality performance across the organization in the way operations actually run. Compare results by agent, supervisor, vendor, team, or support channel.
Connect service conversations with customer signals to uncover product and operational issues. Focus teams on the improvements that reduce friction and support workload.


Continuously monitor interactions for operational risks, policy violations, and service failures. Catch emerging issues before they escalate into larger customer problems.

Spot the behaviors, agents, and patterns with the greatest impact on quality. Help supervisors focus coaching where improvement potential is highest.

Move from issue detection to clear next steps. Use quality insights to guide coaching, operational fixes, and cross-functional improvement efforts.
Help supervisors coach more effectively with automatically surfaced opportunities. Generate guidance for agents using AI-supported feedback and full performance history.


Explain exactly why an interaction failed quality criteria and what should improve. Give teams clear guidance to resolve issues faster and coach with confidence.

Compare performance across teams, regions, supervisors, and vendors. Identify inconsistencies and manage partner performance using objective quality data.

Track trends across teams, channels, and vendors with real-time dashboards. Connect quality performance to customer experience and business outcomes over time.
Traditional QA programs focus on monitoring interactions.
Birdie turns quality into a strategic system that improves customer experience and operational performance.
Turn every customer interaction into a clearer standard, faster coaching, and measurable operational improvement.
Birdie identifies the behaviors that truly impact CSAT, NPS, and churn, helping teams reduce variability across agents and vendors.
Automated evaluations across 100% of interactions expand supervisor reach and eliminate manual bottlenecks.
Provide clear, actionable insights that help teams improve faster and operate with consistent standards.
Connect agent performance directly to revenue, retention, and operational efficiency.