
概览
主要功能
- AI 起草的工单回复
- 与 Slack、Jira 和 GitHub 的集成
- 知识库和文档搜索
- 相关工单和事件检测
- 分流和升级协助
- 与现有帮助台平台协同工作
价格
- 模型
- Freemium
- 分类
- Chatbots
- 评分
- 4.8 / 5 (6)
使用场景
更快草拟准确的工单回复
支持代理使用 Duckie 基于文档和以往工单自动草拟回复,减少调研时间,同时让人工保持对最终回复的控制。
发现相关的 bug 与事件
连接 Jira 与 GitHub,使 Duckie 能识别与客户工单相关的 bug、过去的事件或已知问题,减少不必要的工程升级。
对新进的支持工单进行分流
Duckie 通过分析帮助台和 Slack 的上下文帮助优先排序并路由工单,使紧急或复杂问题更快到达合适的代理人。
降低工程师在支持上的时间投入
通过从内部文档和工程工具获取答案,Duckie 让支持代理能够独立解决技术问题,解放工程师免于重复的支持请求。
优点 & 缺点
优点
- 从 Jira、GitHub 等工程工具获取上下文
- 与常见帮助台和 Slack 集成
- 减少在工单调研上花费的时间
- 帮助发现相关的 bug 和过去的问题
缺点
- 主要聚焦于 SaaS 支持场景
- 需要在多个工具之间进行集成设置
- 价值取决于内部文档的质量
评测
6 个评分的平均值。
登录以留下评测。
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on triage and escalation assistance, and integrates with common help desks and Slack caught me off guard. still, I'd recommend giving it a real trial.
Solid for our team
We rolled this out across the team last quarter and pulls context from engineering tools like Jira and GitHub. AI-drafted ticket responses fits neatly into how we already work, and knowledge base and documentation search removed a step we used to do by hand. Focused mainly on SaaS support use cases, which is the main caveat, but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on aI-drafted ticket responses, and integrates with common help desks and Slack caught me off guard. Requires integration setup across multiple tools is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Solid for our team
We rolled this out across the team last quarter and reduces time spent researching tickets. Triage and escalation assistance fits neatly into how we already work, and related ticket and incident detection removed a step we used to do by hand. but it has held up under daily use.
Solid for our team
We rolled this out across the team last quarter and pulls context from engineering tools like Jira and GitHub. Related ticket and incident detection fits neatly into how we already work, and integrations with Slack, Jira, and GitHub removed a step we used to do by hand. Value depends on quality of internal documentation, which is the main caveat, but it has held up under daily use.
Use it every day
Honestly didn't expect to like it this much. Integrations with Slack, Jira, and GitHub is exactly what I needed, and helps surface related bugs and past issues. but I reach for it almost every day now and it just clicks.
问答
暂无问题 — 来当第一个提问的人吧。
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