ECrits -可视化支持票升级风险

Lloyd Montgomery, Emma Reading, D. Damian
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引用次数: 6

摘要

在大型、多产品的组织中管理支持票是很困难的。未能满足客户的期望可能导致支持票据的升级,就客户关系和解决升级所花费的资源而言,这对IBM来说是昂贵的。让客户满意是需求工程中的一项重要任务,它通常以处理支持单中提出的问题的形式出现。当支持过程涉及花费大量时间管理客户以防止升级时,对客户、他们的问题以及通过错误报告出现的自下而上的需求的适当关注可能是困难的。对于任何给定的支持分析师,通过花时间查看其组织内过去和现在的支持单,可以实现对客户的理解;然而,该解决方案不能扩展到所有产品团队的所有支持票据。ECrits是一种工具,通过有选择地从支持票据存储库中挖掘客户信息,将这些数据显示给支持分析师,并对这些数据进行预测建模,以建议哪些支持票据可能升级,从而帮助减轻信息过载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ECrits — Visualizing Support Ticket Escalation Risk
Managing support tickets in large, multi-product organizations is difficult. Failure to meet the expectations of customers can lead to the escalation of support tickets, which is costly for IBM in terms of customer relationships and resources spent addressing the escalation. Keeping the customer happy is an important task in requirements engineering, which often comes in the form of handling their problems brought forth in support tickets. Proper attention to customers, their issues, and the bottom-up requirements that surface through bug reports can be difficult when the support process involves spending a lot of time managing customers to prevent escalations. For any given support analyst, understanding the customer is achievable through time spent looking through past and present support tickets within their organization; however, this solution does not scale up to account for all support tickets across all product teams. ECrits is a tool developed to help mitigate information overload by selectively mining customer information from support ticket repositories, displaying that data to support analysts, and doing predictive modelling on that data to suggest which support tickets are likely to escalate.
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