problem-definition by refoundai/lenny-skills
npx skills add https://github.com/refoundai/lenny-skills --skill problem-definition在跳转到解决方案之前,帮助用户使用 91 位产品负责人的框架来清晰地定义问题。
当用户请求帮助定义问题时:
Bret Taylor:"为什么要用这个而不是黄页?它只是之前存在事物的数字版本。" 仅仅将模拟的前身数字化常常会失败,因为它缺乏在新平台上存在的原生理由。要问"为什么客户要花时间在这上面?"
Jake Knapp + John Zeratsky:"这种摆脱困境的想法,将一些抽象的想法或你们一直在讨论的概念,转化为一个具体的原型,一个你可以查看、可以点击操作的东西。" 从抽象概念转向具体原型是定义和解决问题的最快方式。
Marily Nika:"有一种东西叫做'闪亮物体陷阱',我总是告诉人们,'嘿,不要为了做 AI 而做 AI。' 要确保那里确实存在问题。" 确保 AI(或任何新技术)是用来解决一个具体的、经过验证的用户痛点,而不是为了技术本身。
Bob Moesta:"挣扎时刻创造需求。你会开始意识到,在某些情况下,这种挣扎时刻存在并且可能持续很长时间,却没有人解决它。" 需求是由用户生活中特定的"挣扎时刻"创造的,而不是由产品本身创造的。研究使用户行为合理化的情境。
Ryan Singer:"除非我们能从开始就看到结局,否则我们不会启动某事。我们不会拿一个大的概念然后问,'这个东西的预估是什么?'" 在投入资源之前,确保团队能够设想出完成的功能。避免从模糊的概念开始。
Marty Cagan:"人们不购买问题,他们购买你的解决方案。显然,如果它没有解决他们关心的问题,他们就不会购买,但有很多产品确实解决了他们关心的问题。" 虽然理解问题是必要的,但竞争优势来自于解决方案的质量。如果问题已经很清楚,不要在问题验证上过度纠结。
Christopher Lochhead:"在问题上花的时间要比在解决方案上多。" 深入理解客户对问题的看法,比内部的产品头脑风暴更有价值。倾听以了解他们的观点,而不仅仅是推销你的解决方案。
Christopher Miller:"我不确定我们是否会在没有限定词的情况下讨论问题。我们是在谈论一个商业问题吗?还是在谈论一个客户问题?" 有效的问题定义需要区分商业需求和客户痛点,以避免产生"对客户不友好"的解决方案。
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要查看来自 91 位嘉宾的全部 123 条见解,请参阅 references/guest-insights.md
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Help the user define problems clearly before jumping to solutions using frameworks from 91 product leaders.
When the user asks for help with problem definition:
Bret Taylor: "Why use this instead of the Yellow Pages? It was a digital version of something that had come before." Simply digitizing an analog predecessor often fails because it lacks a native reason to exist on the new platform. Ask "why should a customer give this the time of day?"
Jake Knapp + John Zeratsky: "This idea of getting unstuck and turning maybe some abstract ideas or some concepts that you've been discussing, turning that into a concrete prototype, something that you can look at and you can click around." Moving from abstract concepts to concrete prototypes is the fastest way to define and solve a problem.
Marily Nika: "There is something called the shiny object trap, and I'm always telling people, 'Hey, don't do AI for the sake of doing AI.' Make sure there is a problem there." Ensure AI (or any new technology) is used to solve a specific, validated user pain point rather than for its own sake.
Bob Moesta: "A struggling moment causes demand. And you start to realize that in some cases that struggling moment exists and can exist for a long time and nobody solved it." Demand is created by a specific "struggling moment" in a user's life, not by the product itself. Study the context that makes users' behavior rational.
Ryan Singer: "We are not going to start something unless we can see the end from the beginning. We're not going to take a big concept and then say, 'What's the estimate for this thing?'" Ensure the team can visualize the completed feature before committing resources. Avoid starting with fuzzy concepts.
Marty Cagan: "People don't buy the problem, they buy your solution. Obviously they don't buy it if it's not solving something they care about, but there are many products that are solving what they care about." While understanding the problem is necessary, competitive advantage comes from the quality of the solution. Don't over-rotate on problem validation if the problem is well-understood.
Christopher Lochhead: "Spend more time on the problem than the solution." Deeply understanding the customer's perspective of the problem is more valuable than internal product brainstorming. Listen to hear their perspective rather than just pitching your solution.
Christopher Miller: "I don't know that we even talk about problems without a qualifier. Are we talking about a business problem? Are we talking about a customer problem?" Effective problem definition requires distinguishing between business needs and customer pain points to avoid "customer-hostile" solutions.
For all 123 insights from 91 guests, see references/guest-insights.md
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超能力技能使用指南:AI助手技能调用优先级与工作流程详解
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