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Optimize interactions with information from feedback loops and scorecards to reduce frustrations on both sides of the equation.
Use insights to provide meaningful development paths and personalized training plans that contribute to continuous improvement and job satisfaction.
Target agent pain points and share best working practices to enrich your entire approach to customer service and deliver your highest levels of satisfaction yet.
Powerful search engine and the autonomy to design flexible evaluation forms provide significant business value by enabling targeted focus on your priorities.
Analyze agents’ performance thanks to configurable charts and reports, to define your training and coaching plan.
Contextualize the feedback you give to agents, so evaluation leads to growth not confrontation.
Save even more time and gather even more insights when you enrich the standard quality monitoring features with AI: transcription, sentiments, classification, evaluation automation …
Industry: Media & Entertainment
Markets: France
Industry: Public Sector
Enhance agent support and quality management through data-driven insights, improving both agent performance and customer satisfaction.
Utilize performance analytics and data analysis techniques to transform customer data into strategic assets.
Employ advanced data recording for comprehensive voice interaction analysis, supporting performance improvement strategies.
Leverage predictive modeling and real-time analytics for agile agent scheduling, enhancing operational efficiency.
Quality monitoring has evolved from manually reviewing recordings or listening to a sample of calls to employing AI for more comprehensive analysis. Initially, this process helped identify training needs and enhance customer satisfaction. Now, it’s a crucial part of pinpointing pain points and broken processes, ensuring services meet or exceed predefined standards. This evolution also allows for more representative sampling, better issue identification, and consistent, high-quality customer experiences, fostering trust and loyalty.
Quality monitoring elevates customer satisfaction by ensuring interactions are conducted professionally and efficiently. Numerous surveys have shown that customers remain loyal and are even willing to pay more for higher service standards. By identifying effective strategies for personalized care and query resolution, as well as areas of underperformance, quality monitoring catalyzes changes that improve contact center performance. The resulting high-quality, highly effective service encourages customers to stay with a brand, enhancing loyalty.
The key components of a successful quality monitoring program include clear evaluation criteria, regular and random sampling, and comprehensive feedback mechanisms, bolstered by AI analysis for broader, more accurate insights. This setup allows for the integration of customer feedback and ongoing training, ensuring a program that not only evaluates but also improves service quality, reflecting the true scope of customer interactions.
Technology, especially advanced CCaaS solutions, can automate many aspects of quality monitoring, from recording interactions to using AI-driven analytics for evaluating compliance and performance. These tools can highlight areas of excellence and those needing improvement, making the process more efficient and comprehensive.
Effective integration involves using insights from quality monitoring to tailor training programs to individual and team needs. Recognizing and sharing examples of high-quality interactions as best practices can motivate agents, while targeted training can address specific areas for improvement, enhancing overall performance.
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