Rovo Real Talk: Real workflows, real results

This session is for the people who live in Jira, Confluence, and Jira Service Management every day — and suspect they're spending too much time on work about work. Join us for side-by-side before/after demos across real PM, Engineering, IT, and everyday workflows, plus hands-on prompts and quick wins you can take back to your team immediately.

When "Blocked" means "Waiting for one person to respond to a Slack thread," you know there's got to be a better way.

There's a gap between how you're working now and how fast your team could move with AI in the picture. This session is for the people who live in Jira, Confluence, and Jira Service Management every day… and suspect they're spending too much time on work about work.

In this Rovo Real Talk, we're skipping the pitch and getting straight to the workflows you'll recognize with side-by-side demos that show exactly what changes with Rovo

If you're a Product Manager:
Before: You spend hours writing a PRD from scratch, pulling context from five different Confluence pages. → After: You prompt Rovo with your requirements and get a structured first draft in minutes with the context already woven in.

If you're an Engineer:
Before: You manually triage a growing Jira backlog every sprint, tagging, prioritizing, and routing issues one by one. → After: Rovo triages incoming issues based on your team's patterns and surfaces what actually needs your attention.

If you're in IT or Service Management:
Before: A request comes in and you dig through runbooks and past tickets to figure out the right resolution path. → After: Rovo pulls the relevant knowledge base articles and past resolutions instantly, so you respond faster and more consistently.

If you just want to work smarter:
Before: You leave a 45-minute meeting with a wall of notes and no clear next steps. → After: Rovo summarizes the discussion, extracts the action items, and assigns them, all before you close the tab.

These aren't hypothetical. They're real workflows running faster today, with less friction.

You'll walk away with:

  • Before/after demos you can relate to, regardless of your role
  • Hands-on prompts and quick wins you can try in your own environment the same day
  • A clear picture of where Rovo fits into the tools you already use, like Jira, Confluence, and Jira Service Management
  • Follow-up resources to keep building on what you learned

Join us to turn Rovo from "something we sort of use" into the way your team actually works.

 

发言人

Janessa Drainville

Senior Lifecycle Content Marketing Manager, AI, Atlassian

Janessa 是 Atlassian 人工智能项目的全生命周期内容营销人员，专注于帮助客户理解、采用 Rovo 等产品并从中获得实际价值。作为一名终身故事讲述者与人工智能爱好者，她将复杂功能与现实客户成果相结合，协同产品、营销及市场推广团队，在整个客户旅程中普及知识、建立信任并推动持续互动。

趣味轶事：Janessa 的演讲场合多种多样，从教育会议到挤满人的健身工作室，这证明无论人们是在听演讲，还是在做一组波比跳，她都能让大家保持专注。

Sunny Lin

Associate Product Manager, Rovo, Atlassian

Sunny 是 Atlassian Rovo 团队的助理产品经理，专注于释放 Rovo 的技术潜能。他日常负责打造 Rovo 支持人员，提升产品质量标准，设计更智能的使用体验，助力高效工作流落地。

Chance Webb

Technical Customer Success Manager (AI), Atlassian

Chance Webb 是 Atlassian 驻得克萨斯州奥斯汀的人工智能技术客户成功经理。她助力各类组织将对人工智能的探索转化为人工智能战略，涵盖数据基础、互联系统，以及支持人员与采用实操手册，让 Rovo 成为 Atlassian 生态系统及更广范围内的效能倍增工具。

她拥有十余年客户成功、实施、企业客户战略以及人工智能领域相关经验，能够在每一项合作中融合战略规划、实操构建与赋能支持的独特能力。Chance 具备多元思维视角，专注研究人工智能试点项目停滞的原因，以及如何将试点转化为可量化的业务影响。

她坚信，当成功之路充满欢声笑语时，工作成果与学习进程将实现指数级增长。因此无论在台前幕后，她打造的支持人员都各具特色，拥有独特口音、主题设定，偶尔还暗藏特长。她选择加入 Atlassian 人工智能团队，只因始终难以抑制探索钻研的热情。她的理念：但凡文档有增添趣味的空间，就善加利用—相比策略页面，笑容更能推动落地！