Zendesk Explore具有一个预建面板,可帮助您 在背景信息面板中分析“知识”中发生的事件和工单活动。此面板可帮助您识别已解决工单、知识活动、已标记工单、专员活动等。
提示:您无法直接编辑此面板,但如果您使用的是 Professional 或更高版本的服务模式,则可以 为其创建一个可编辑的副本。
本文章包含以下主题:
访问“知识提取”面板
仅当 打开背景信息面板中的知识时,“知识提取”面板才可用。
访问知识提取面板
- 在 Explore 中,单击面板图标 (
)。
- 在面板列表中,选择 Zendesk Guide 面板。
- 在 Zendesk Guide 面板中,单击 知识提取 标签。
了解知识提取面板报告
知识提取 标签显示关于知识活动的信息,包括从工单链接的文章、使用“知识”创建的文章,以及专员与“知识”的互动。
此面板中的信息根据您的 Explore 服务模式定期更新。请参阅 Explore 报告的数据刷新间隔。
知识提取面板标题指标
此标签显示以下标题指标 (KPI):
- 专员互动:涉及知识活动的工单数占工单总数的百分比。无法按专员名称筛选。
- 每张工单的链接文章:每张工单使用“知识”链接的平均文章数量。无法按专员名称筛选。
- 链接的文章:使用“知识”链接的文章总数。
- 已标记文章:使用知识在现有工单中标记为需更新的文章数量。除非工单至少保存一次,否则文章不会在工单中被标记。
- 已创建文章:使用“知识”创建的文章数量。创建时未创建工单的文章不计入此指标。
知识提取面板报告
此标签显示以下报告:
-
按日期划分的知识提取活动:显示已链接到、已标记的文章。 ,在您选择的日期范围内使用知识创建了 。
-
按所选属性划分的链接文章(前 10 篇):显示使用“知识”链接到的文章数量。您可以按品牌或语言进行筛选。
-
按已选择属性创建和标记的文章(前 10 名):显示使用“知识”创建和标记的文章数量。您可以按品牌或语言进行筛选。
-
按月(12 个月)查看专员互动率:显示在过去 12 个月内,使用“知识”互动的专员百分比,以及使用“知识”创建的工单数。
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按专员查看知识提取活动:专员列表,显示他们通过“知识”链接、标记或创建的文章数量。
-
按文章查看知识提取活动:链接到知识或由知识标记的文章。
翻译免责声明:本文章使用自动翻译软件翻译,以便您了解基本内容。 我们已采取合理措施提供准确翻译,但不保证翻译准确性
如对翻译准确性有任何疑问,请以文章的英语版本为准。
33 条评论
Ingrid Parena
Are there any statistics on article/section followers?
0
Jonathan Suchin
Do articles shared as an internal comment factor into the knowledge engagement metric?
Or is it only counted when an agent shares an article externally with a public message from their ticket?
0
Heather Ausmus
Does Zendesk have a benchmark to target for agent engagement? I'm currently using the Consortium “Average % Analyst Link Rate” of 65%, but wondering if there is another/better target for this particular formula (vs. just looking at our historical trends).
0
Bobby Koch
6565932649498
Log into zendesk support, and open knowledge panel. You will be able to see relevant articles in the knowledge app. There, you can review articles that are suggested, create an article, or request an article.
If you click into an article and hover over a paragraph (within the app) you can click the 3 dots and click “Add feedback” → this is flagging an article.
Linking an article to a ticket is what linking is. For example, a customer writes in with a question about resetting their password. If you had an article in your KB that is about resetting article, you can “link” it via the same app (knowledge) or pate the link in. This would then count as a linked article.
There are some weird inticities about the reporting but thats the basics.
0
Guilherme Marcarini
Hello, i have a question about the “Knowledge capture acitivy by agent” dashboard.
We have two columns, “Linked Articles” and “Flagged Articles”, what is the difference between them? What actions count on each column?
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Bill Decker
https://support.zendesk.com/hc/en-us/articles/4408887529370/comments/4419122317082
With the capture app going away, will internal articles linked via the knowledge context panel into internal ticket comments be picked up by the knowledge capture dataset in the canned Zendesk Guide report?
0
Bobby Koch
Hey there, curious to see if there are any updates here, it loos like you can now filter on Solved tickets.
We are noticed that Created Articles = Published, or so we believe in Explore. Can we figure out a way to look at all of the created content, even if they are still drafts, from the Knowledge app?
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Michael Mader
^^ Just noticed today, there is now a filter for ticket status! Thank you Zendesk for adding that!! This solves my problem!
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Michael Mader
Hey all,
I've noticed that % agent engagement is counting on all assigned tickets (resolved and unresolved), rather than only solved. I'm curious as I haven't found a metric for solved tickets in the Knowledge Capture dataset, is there a way to report % agent engagement on only solved tickets?
[(created article tickets)+(linked article tickets)]/total solved tickets
It makes sense to me that if the customer engagement is still unsolved, the agent will still have an opportunity to link or create a knowledge base solution and thus it shouldn't lower their engagement metric.
Thanks for the assist!
0
Dane
It will be the events that has [Knowledge Capture ticket ID] formula.
Mainly, Linked article tickets, Flagged article tickets, Created article tickets and Resolution article tickets. You can check the dataset article for each definition of those metrics.
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