Optimizing Helpdesk Ticketing Systems with Discord Community Integration

Traditional helpdesk ticketing systems (TS) often fail to manage huge amounts of support tickets efficiently, resulting in longer response times and lower user satisfaction. This paper proposes a new TS approach by integrating a Discord-based community with a TS and chatbot. The suggested system takes advantage of the open-source features provided by the Discord platform to create and handle support requests from within Discord channels, taking advantage of the platform’s real-time communication features and the support of a large community. The system’s initial review shows that 88% of the users are delighted through the employment of Discord, providing scalable solutions that can be applied to various community-driven support situations [9].

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Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1145/3687272.3690886
Citations
1
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
0.78
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article

Optimizing Helpdesk Ticketing Systems with Discord Community Integration

Igor Tchappi, Christoph Schommer, Amro Najjar, Esada Licina
1 citations
Web Data Mining and Analysis
0.78
article

Optimizing Helpdesk Ticketing Systems with Discord Community Integration

Igor Tchappi, Christoph Schommer, Amro Najjar, Esada Licina
article en
1 citations

Abstract

Traditional helpdesk ticketing systems (TS) often fail to manage huge amounts of support tickets efficiently, resulting in longer response times and lower user satisfaction. This paper proposes a new TS approach by integrating a Discord-based community with a TS and chatbot. The suggested system takes advantage of the open-source features provided by the Discord platform to create and handle support requests from within Discord channels, taking advantage of the platform’s real-time communication features and the support of a large community. The system’s initial review shows that 88% of the users are delighted through the employment of Discord, providing scalable solutions that can be applied to various community-driven support situations [9].

University of Luxembourg (LU), Luxembourg Institute of Science and Technology (LU), University of Ngaoundéré (CM)
Reduced inequalities
Openalex Percentile: Top 19%
Web Data Mining and Analysis
0.78
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Optimizing Helpdesk Ticketing Systems with Discord Community Integration — Igor Tchappi, Christoph Schommer, et al. · (2024) | TGRS Research Map | TGRS