Help users identify unique distribution advantages and master the lifecycle of acquisition channels to build a sustainable engine for growth and retention.
日本語の概要は準備中です。原文の説明を表示しています。
Help users define a compelling, qualitative description of a future state that aligns decentralized teams and motivates long-term innovation.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Design an aspirational future state that inspires teams and guides strategic decision-making.
Help the user with product vision creation using insights from 22 guests and posts across Lenny's Podcast and Newsletter.
Ami Vora: "If we all agree that the feeling of something should be, I'm sitting in Dolores Park with my friends on a sunny Saturday, then people will just naturally build something that feels more consistent."
Establish a shared emotional metaphor to guide decentralized teams toward consistent decision making without constant oversight.
Ebi Atawodi: "So four things. So it has to be lofty, it has to be realistic, it has to be devoid of any tech or limitations of today, and it has to be grounded in a very clear and potent problem. User problem."
Ensure the vision is rooted in a clear and significant user problem that the team feels personally motivated to solve.
Mihika Kapoor: "You want to always ensure that there are research insights that help you feel what a user is feeling. You want to ensure that there are beautiful designs and prototypes that help communicate what this future world looks like, and you also want to root it in engineering and feasibility. And you want to be constantly, even in the vision phase, assuring that what you're marching after is something that is achievable and something that you can work towards."
A compelling vision must be a cross-functional blend of deep user empathy, technical feasibility, and visual storytelling.
Sanchan Saxena: "If you become too scientific, you miss out on opportunities because you can't see those opportunities using the scientific method of discovery, because they're too tiny or they're so farfetched that people cannot even understand them."
Avoid over-reliance on scientific methods and A/B testing to prevent missing out on far-fetched or nascent product opportunities.
Andy Raskin: "The one thing I say is it's this one story that the CEO uses to drive success in marketing, sales, but also product. That it becomes like a north star, strategic north star for product roadmap, for fundraising, for recruiting, really everything."
Develop a single high-level story that acts as a North Star to align every department from sales to engineering.
Shreyas Doshi: "Google, I think the main thing I learned was the power of thinking really big. And I know it sounds like a platitude, but really big. And I only actually realized that when I left Google and I started working with the other teams and these were all capable teams and I was struck by how many teams just limited the potential of what they could achieve."
High-performing cultures prevent teams from setting artificial limits by making large-scale thinking a default operating habit.
See references/artifacts.md for the full list with details.
For all 20 sourced insights from 22 guests, see references/guest-insights.md
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概要と使いどころ
Help users identify unique distribution advantages and master the lifecycle of acquisition channels to build a sustainable engine for growth and retention.
日本語の概要は準備中です。原文の説明を表示しています。
Help users build functional product prototypes from natural language or visual mocks using AI coding tools. This skill enables product leaders to bypass engineering bottlenecks and validate ideas through hands-on building.
日本語の概要は準備中です。原文の説明を表示しています。
Help users build robust infrastructure for measuring, monitoring, and iterating on AI product performance using human, code-based, and LLM-as-a-judge methodologies.
日本語の概要は準備中です。原文の説明を表示しています。
Help users interact with probabilistic models by designing interfaces that manage fluidity, intent, and agency while maintaining trust and control.
日本語の概要は準備中です。原文の説明を表示しています。
Help users decide where to apply AI effectively, manage the transition from deterministic to probabilistic software, and build long-term defensibility through verticalization and proprietary data.
日本語の概要は準備中です。原文の説明を表示しています。
Help users convert massive volumes of qualitative and quantitative feedback into high-confidence product decisions through rigorous synthesis and internal immersion.
日本語の概要は準備中です。原文の説明を表示しています。