DMG Consulting

DECEMBER 11, 2017

In an attempt to achieve full transparency and visibility, contact center leaders may receive dozens of metrics and key performance indicators (KPIs), some of which seem to contradict others. Different types of contact centers – customer service, sales, collections, etc. First contact resolution (FCR). Call abandonment rate.

Contact Center 54

Contact Center Average Handle Time Management Abandon rate 54

GetFeedback

SEPTEMBER 18, 2019

3: Customer service interactions drive more disloyalty than loyalty, in general. Which emphasizes the need for an effortless customer service interaction. . 4: The key to mitigating disloyalty is to reduce customer effort. Emotion: Customers feel good about the experience. Most of the time the answer will be no.

Metrics 102

Metrics Wait times Customer Experience Customer effort 102

VHT

MARCH 12, 2019

Surely adding to customer frustration is the fact that they’ve been very clear about what annoys them, yet these frustrations haven’t been eliminated. According to CCW’s 2018 Market Study on Performance & Metrics, these grievances are: Long wait times. Your Agent Effort.

Contact Center 48

Contact Center Interactive Voice Response Customer effort Wait times 48

Serenova

OCTOBER 22, 2019

To ensure customer experience doesn’t suffer, track contact center key performance indicators (KPIs) that provide a complete picture that maps back to your business goals. However, if calls are shorter because they’re getting transferred, first contact resolution drops and customers’ frustrations start to rise.

Contact Center 64

Contact Center Social media contact Average Handle Time Wait times 64

Comm100

AUGUST 21, 2018

One of those considerations is metrics. As Forrester notes in their 2016 report, How Analytics Drives Customer Life-Cycle Management , “Every customer interaction leaves a trail of customer data waiting to be analyzed.” But how should human versus chatbot metrics be treated? This depends on the metric.

Metrics 40

Metrics Chatbots Average Handle Time Wait times 40

Comm100

AUGUST 21, 2018

One of those considerations is metrics. As Forrester notes in their 2016 report, How Analytics Drives Customer Life-Cycle Management , “Every customer interaction leaves a trail of customer data waiting to be analyzed.” But how should human versus chatbot metrics be treated? This depends on the metric.

Metrics 40

Metrics Chatbots Average Handle Time Wait times 40