Remove Average Handle Time Remove Customer Care Remove Metrics
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Are You Using 1999 Metrics to Measure 2019 Customer Care?

BlueOcean

It’s 2019, which means contact center metrics from 1999 are almost old enough for their first legal beer (and already knocking them back in Canada.) Those metrics were born in an era when customer service was a race, where whoever got to the finish line first (i.e. One Metric to Rule Them All. But where do we start?

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Beyond KPIs and Metrics: How to Measure Outsourced Call Center Performance

BlueOcean

The math provides us with insights on how to improve the customer experience and gain greater value for the client. We’re constantly asking questions like, how fast are agents answering calls (Average Speed to Answer)? What is the Average Handle Time? Is the Service Level Agreement being met?

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Call Quality Monitoring: Best Practices and Tech for More Effective QA in 2025

Calabrio

A McKinsey survey revealed customer care leaders top growth priorities included customer experience improvement, technology implementation, and identifying revenue growth opportunities. subject, issue type) and determine customers most common issues.

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Validating Your Outsourced Customer Care Partnership: Is Your Incumbent “Still the One”?

BlueOcean

What Service Level Metrics Are Most Relevant to Your Business Now? Let’s face it: Contact center metrics that measure customer service as if it’s some kind of race (think Average Handle Time) are frankly table stakes. What should your outsourcer – and you – be measuring beyond those standard metrics?

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Bilingual Customer Support: Where Live Agents and AI Coincide

BlueOcean

The Impact of Bilingual Support on the Customer Experience When a bilingual solution is offered to the customer, companies quickly find that quality scores increase accordingly. The same is true for first call resolution and average handle times. It’s our thing. So, of course, we’re biased.

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How are Omnichannel and Artificial Intelligence Changing Quality Management?

NICE inContact

More recently, the topic of artificial intelligence (AI) and its role in customer care has been one that contact center managers have wanted to learn more about. One of the biggest changes for contact centers that will result from the implementation of chatbots and voicebots is the need to re-think quality metrics.

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New KPI Metrics in the Era of Self Service

TechSee

When a virtual agent fields a customer’s enquiry, collects all relevant details and passes it to a human agent for final approval, how should average handling time ( AHT ) be measured? Customer care center metrics in the era of self-service clearly require a different approach. Call Deflection Rate.