Using FAQs to Help Users Help Themselves

John Fritz, Andrea Mocko
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Abstract

Four years ago, UMBC's "tier 1" Technology Support Center [1] (formerly Help Desk) moved from the obscure basement of our main Division of Information Technology (DoIT) building to the bright, open first floor of our new Information Commons in the Library. Since then, the TSC has virtually reinvented itself by also focusing on helping users help themselves. We completely revamped our campus knowledgebase [2] that has grown from 3k annual page views to more than 400k. As a result, support phone calls have been reduced 30% and ticket volume has decreased 3% (since FY10) or remained flat while all other campus support requests have skyrocketed through widespread adoption [3] of our RT (Request Tracker) ticketing system. Guided by an excellent orientation manual with a novel, but simple ticket-grading rubric [4] encouraging support staff to recommend relevant FAQ articles as an acceptable initial resolution to user support requests, student consultants now resolve half of all the TSC's tickets each week; previously they were not allowed to do so for fear they would make mistakes. With just two FT staff and 12-15 student consultants resolving 8k of DoIT's overall 25k tickets annually, the TSC has become a model of efficiency and effectiveness. Overall, DoIT enjoys a 90% "excellent" customer satisfaction rating on an optional survey every customer receives following a resolved ticket.
使用faq帮助用户自助
四年前,UMBC的“一级”技术支持中心[1](以前的帮助台)从我们信息技术部门(DoIT)大楼的阴暗地下室搬到了图书馆新信息共享区明亮开放的一楼。从那时起,TSC通过专注于帮助用户自助,几乎彻底改造了自己。我们彻底改造了我们的校园知识库[2],它的年浏览量从3000增加到40多万。因此,支持电话减少了30%,票务量减少了3%(自2010财年以来)或保持不变,而通过广泛采用我们的RT(请求跟踪器)票务系统,所有其他校园支持请求都飙升[3]。在一本优秀的入门手册的指导下,该手册采用了新颖但简单的票务分级规则[4],鼓励支持人员推荐相关的常见问题文章,作为用户支持请求的可接受的初始解决方案,学生顾问现在每周解决一半的TSC票务;以前他们不允许这样做,因为担心他们会犯错误。每年仅有两名英国《金融时报》员工和12-15名学生顾问解决了DoIT总计2.5万张门票中的8000张,TSC已成为效率和效益的典范。总体而言,DoIT在一项可选调查中获得了90%的“优秀”客户满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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