Optimizing Agent Performance through CX Language User Interface

Enhancing Agents Efficiency for the Born Digital champion

Goals

Expedite the agents’ learning process.
Boost the performance of new agents from day one.
Elevate the rate of first-contact resolutions.

Goals

Expedite the agents’ learning process.
Boost the performance of new agents from day one.
Elevate the rate of first-contact resolutions.

Strategy

A comprehensive E2E process examination pinpointing the pivotal stages in an agents’ learning journey, encompassing hiring, training, and onboarding.
Incorporation of role-play-based training materials.
Transition to a case-based learning model.

Strategy

A comprehensive E2E process examination pinpointing the pivotal stages in an agents’ learning journey, encompassing hiring, training, and onboarding.
Incorporation of role-play-based training materials.
Transition to a case-based learning model.

Highlights

A team finely tuned with our service proposition, consistently delivering customer satisfaction.
Learning modules meticulously designed to suit the Atento@Home model.
Potential business impact recognized in Colombia, drawing inspiration from Brazil’s successful experiences.

Highlights

A team finely tuned with our service proposition, consistently delivering customer satisfaction.
Learning modules meticulously designed to suit the Atento@Home model.
Potential business impact recognized in Colombia, drawing inspiration from Brazil’s successful experiences.

Results

A substantial decrease in the learning curve, trimming the duration from 90 to a concise 60 days.
An impressive 95% of agents successfully navigated trough the preliminary training phase.
The first-contact resolutions observed a rise, moving up from 77% to a commendable 81.8%.

Results

A substantial decrease in the learning curve, trimming the duration from 90 to a concise 60 days.
An impressive 95% of agents successfully navigated trough the preliminary training phase.
The first-contact resolutions observed a rise, moving up from 77% to a commendable 81.8%.

Payment Data Interchange

Predictive model to reduce attrition

Faster resolution for happier drivers

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Optimizing Agent Performance through CX Language User Interface

Goals

Goals

Strategy

Strategy

Highlights

Highlights

Results

Results

Cases

Payment Data Interchange

Predictive model to reduce attrition

Faster resolution for happier drivers