Overview

Quality Management is a central component of professional service centers. The aim is to permanently ensure the quality of customer communication, to make processing standards measurable, and to identify potential for optimization at an early stage.

Standardized quality assessments create a common basis for feedback, coaching, and continuous improvement in customer service. They help to make strengths visible, recognize development potential at an early stage, and ensure a consistent quality of service.

Enneo offers AI-supported quality assessments for the automated analysis of large amounts of customer interactions based on defined quality criteria.

Introductory Videos - Quality in enneo

Quality assurance in the service center

In customer service, the quality of processing significantly determines customer satisfaction, process stability, and the perception of the service. At the same time, a complete manual check of all processes is hardly possible in practice, as quality assessments are very time-consuming and organizationally demanding.

Many service centers therefore work with random samples and standardized evaluation forms. However, this often leaves only a small part of the actual customer interactions verifiable.

Enneo additionally enables AI-supported quality assessments, with which large amounts of processing can be automated and evaluated based on defined quality criteria. This allows quality checks to be scaled significantly without proportionally increasing manual effort.

Manual and AI-supported evaluations

Quality assessments can be carried out in enneo by both quality management staff and automatically by AI.

Within the quality assessment, it can be defined for individual criteria whether they should be checked manually or automatically by AI. The control is carried out via the so-called scorecard, in which the respective evaluation instructions are stored.

AI-supported analyses

AI-supported analyses are particularly suitable for standardizable criteria and large amounts of processing. These include, for example:

• Understandability and tonality of responses
• the question of whether the customer's specific concerns were addressed
• Completeness and traceability of a response
• compliance with defined communication standards

Manual quality assessments

Criteria that require professional experience, decision-making leeway, or organizational context are still evaluated manually by quality management. These include, for example:

• Decisions of goodwill and individual cases
• deliberate deviations from defined processes
• the appropriateness of a solution in the specific customer context
• technical or regulatory special cases

In this way, standardized quality assurance and human assessment can be specifically combined and scaled significantly wider than in purely manual processes.