Beyond Metrics - From Numbers to Meaningful Outcomes

About the Webcast

The webcast featured Sheri Greenhaus (Moderator and Managing Partner, CrmXchange), Donna Fluss (DMG Consulting LLC), Natalie Perez (CEO and Founder, Cisne), and Jason Valdina (Senior Director, Verint).

Discussion Highlights
The panel explored why many contact centers continue to rely on legacy KPIs and emphasized the need to redefine business goals before selecting performance measures. Panelists agreed that organizations should move beyond traditional productivity metrics and incorporate outcome-based indicators such as customer sentiment, customer effort, emotional recovery, and end-to-end journey performance.

Donna noted that traditional reporting explains what happened but rarely identifies why. She highlighted the value of conversation analytics for uncovering root causes and recommending corrective actions. Jason explained that AI more often delivers gains in capacity, efficiency, and quality rather than direct headcount reductions, making agent experience and retention increasingly important KPIs. Natalie encouraged organizations to distinguish between metrics and true KPIs, focusing on measures that drive meaningful business outcomes rather than collecting data for its own sake.

Recommendations and Commitments
The panel recommended limiting KPI programs to a focused set of 10 to 15 metrics aligned with clearly defined business objectives. They advocated for broader adoption of conversation analytics, automated quality management, and AI-powered tools that automate post-interaction work and provide real-time agent guidance.

Jason and Natalie also encouraged organizations to experiment with emerging AI models using anonymized data to combine speech analytics, quality management, and workforce management insights into a unified view of performance. Donna stressed the importance of measuring the entire customer journey and ensuring KPIs not only identify issues but also help prescribe solutions.

Challenges and Next Steps
The audience represented a wide range of AI maturity levels. While some organizations have already implemented speech analytics and AI technologies, many are still in the early stages of adoption. Panelists cautioned against metric overload and recommended establishing cross-functional governance to determine which AI-generated measures should become enterprise KPIs.

Suggested next steps included:

• Conducting an inventory of existing metrics and KPIs
• Redefining contact center goals to reflect AI-enabled capabilities
• Piloting conversation analytics and automated quality management tools
• Prioritizing a small set of outcome-focused KPIs, such as revenue per employee, post-interaction effort, emotional recovery, and automated quality scores

Key Takeaways by Speaker

• Donna Fluss (DMG Consulting LLC): Measure the full customer journey and ensure KPIs drive actionable, root-cause-based improvements.
• Jason Valdina (Verint): Focus on agent retention, revenue per employee, and reducing post-interaction work through automation.
• Natalie Perez (Cisne): Track agent emotional recovery and leverage AI-native workforce management capabilities to improve scheduling, engagement, and retention.