cover of episode The Unusual Project Management System Notion Uses To Build AI

The Unusual Project Management System Notion Uses To Build AI

2024/12/12
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Shir Yehoshua
主持人
专注于电动车和能源领域的播客主持人和内容创作者。
Topics
主持人:Notion AI 团队在技术尚不明确的情况下,快速迭代开发 AI 工具,其项目管理方法也随之不断调整。Notion AI 的问答功能最初集成在搜索体验中,但后来发现其在回答问题方面更胜于关键词搜索。AI 技术简化了同义词识别等复杂任务,Notion 内部文档完善,注重团队协作和效率。Notion 团队使用自身产品,这有助于产品改进。 Shir Yehoshua:AI 产品开发与其他产品类似,但也存在差异,其生命周期因技术新颖性而不同,需要先原型设计再进行产品设计。Notion AI 团队尝试了许多未发布的功能,不断学习和改进。Notion AI 的问答功能通过将文本转换为数字,比较数字相似度来实现。项目管理方法应根据项目阶段而调整,早期应灵活,后期应结构化。项目早期采用灵活的文档和清单管理,后期转向结构化的任务数据库和里程碑管理。Notion AI 团队快速尝试,快速失败,避免沉没成本谬误。在处理复杂问题时,应将问题分解成小的、AI 擅长的子问题。作者使用 AI 进行绩效评估,提高效率并提升反馈质量。编写有效的 AI 提示需要精确和具体,并了解 AI 的局限性。 Shir Yehoshua:在 AI 项目中,过早的结构化规划可能导致方向错误。AI 的优势在于分析和重组数据,而非创造新颖内容。寻求 AI 帮助时,应注意其擅长和不擅长的领域,并调整预期。

Deep Dive

Key Insights

What is the unconventional development process used by Notion's AI team?

Notion's AI team prototypes features first to determine if AI can perform the task, then designs the user experience afterward, unlike traditional development where design precedes building.

Why does Notion's AI team prototype features before designing?

The AI technology is new, and the team needs to explore what it can do before committing to a specific design or user experience.

What was a surprising success for Notion's AI team?

The Q&A feature initially integrated into search performed poorly, but when used as a question-answering tool, it became a powerful feature, showcasing AI's strength in answering questions over keyword searches.

How does Notion's AI team manage project management?

Project management varies based on the project's phase. Early exploratory phases use minimal structure with bullet points and checklists, while later stages adopt more structured task databases, milestones, and regular stand-ups.

What is the philosophy behind Notion's AI team's project management?

The team matches project management tools and processes to the lifecycle of the project, avoiding over-structuring in early phases to allow for flexibility and exploration.

What are some of the AI use cases that Shir Yehoshua finds particularly valuable?

Shir uses AI to generate initial drafts of performance reviews by synthesizing feedback and self-assessments, saving time and allowing her to focus on providing more thoughtful feedback.

How does Shir Yehoshua describe the role of AI in her work?

AI handles the manual work, such as aggregating data, so she can focus on the creative aspects of her job, like providing meaningful feedback.

What advice does Shir Yehoshua give for writing effective AI prompts?

Be precise and specific in your prompts to get the desired output. Break down complex tasks into smaller components and focus on AI's strengths in synthesis, restructuring, and searching.

What is the importance of dogfooding at Notion?

Dogfooding allows the team to use their own product, providing immediate feedback and driving improvements, even if the experience is sometimes less polished than that of external users.

Why did Shir Yehoshua join Notion?

She initially dismissed Notion as too large, but after using it to create a job tracker, she was impressed by its functionality and decided to join the company.

Shownotes Transcript

Meet Shir Yehoshua, the AI Engineering Lead at Notion.

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In this episode of my Notion Podcast, I sit down with Shir Yehoshua, the AI Engineering Lead at Notion, to talk about Notion AI and how development teams have to adjust to a new technology, where it isn't quite clear yet what it can actually do.

We also talk about best practices for prompting, what AI is actually good at (and where you should rather do the work yourself) plus her favourite AI use cases right now.

This is part of an ongoing interview series where I sit down with Notion Power Users or the people who work at Notion to look behind the scenes and show how others are using Notion to organise their work.