ChatGPT와의 대화: AI로 대체 불가한 PM 스킬
인간만이 할 수 있는 프로덕트 매니징 스킬은?
챗GPT 로 떠들썩하기 시작할 때부터 빨리 이걸 써보고 싶었다. 소식을 접하자 마자 가장 궁금했던 건 "내가 하고 있는 일을 10년 후에도 계속할 수 있을까?" 였다.
그래서 챗GPT에게 물어봤더니 아래의 5가지 스킬은 AI가 대체할 수 없다고 한다. 아래의 글은 챗GPT와 나눈 대화에서 가장 마지막에 챗GPT 가 한 답변을 네이버 파파고를 이용해 번역한 것이다.
1. 전략적 비전: 인공지능은 데이터를 분석하고 추천할 수 있지만, 여전히 전략적 방향을 설정하고 자원을 어디에 투자할지 결정하기 위해서는 인간의 감독이 필요하다.
2. 사용자 공감: 인공지능은 사용자 경험을 개인화하는 데 도움이 될 수 있지만, 인간의 공감과 사용자 요구 및 고충에 대한 이해를 대체할 수는 없다. 제품 관리자는 사용자 요구사항을 파악하고 제품이 이러한 요구사항을 충족하는지 확인하는 데 중요한 역할을 합니다.
3. 창의성: 인공지능은 새로운 아이디어와 가능성을 창출할 수 있지만, 아직 진정으로 창의적인 사고를 할 수는 없다. 제품 관리자는 새로운 제품과 기능을 개발하는 과정에 자신의 창의성과 상상력을 가져올 수 있습니다.
4. 윤리적 고려 사항: AI는 의사 결정을 자동화하는 데 도움이 될 수 있지만, 그러한 결정이 윤리적이고 회사의 가치와 목표와 일치하도록 보장하기 위해서는 인간의 감독이 필요하다.
5. 협업 및 커뮤니케이션: 제품 관리자는 종종 부서 간 팀을 관리하는 역할을 담당하며, 이를 위해서는 강력한 커뮤니케이션 및 협업 기술이 필요합니다. 인공지능은 프로젝트 관리의 특정 측면을 자동화할 수는 있지만, 인간의 상호 작용과 관계 형성을 대체할 수는 없다.
간단히 말해서, AI가 특정 작업을 자동화하고 통찰력을 제공할 수도 있지만, 여전히 회사의 목표와 가치에 부합하는 방식으로 사용되고 있는지 확인하기 위해서는 인간의 감독과 지침이 필요하다. 인간 제품 관리자는 AI가 효과적이고 책임감 있게 사용될 수 있도록 전략적 비전, 사용자 공감, 창의성, 윤리적 고려사항, 협업 및 커뮤니케이션 기술을 제공할 수 있다.
이 마지막 답변의 경우 앞의 질문에 비해 훨씬 느리게 답변이 왔다. 고차원적 질문을 할 수록 느려지는 건가, 하는 생각도 들었다.
이 외에도 내가 개발하려는 제품의 유저 페르소나를 정해주고 유저 스토리를 써달라고 해 봤는데, 조건을 상세히 하고 디테일하게 적어달라고 할 수록 정말 구체적인 벤치마킹 요소와 기술적 법률적 조건들을 알려주었다. 그래서 지금 이미 실무에 활용해서 일을 하고 있다. 주로 구글 번역을 돌리면서 해외 인터넷 사이트를 몇 시간씩 뒤져야 나오는 정보들을 빠르게 찾기 위해서, 그리고 혼자서 고민하다가 생각이 막힐 때 말을 건다.
AI는 분명 위협적인 존재이지만 조수 처럼 활용할 수 있을 것 같다는 생각이 든다. 기술의 발전 주기가 너무 빨라지고 있어서 새로운 것을 익히는 데에 부담을 느끼긴 하지만 전반적으로 인류의 삶의 효용이 증가한다는 것에 나는 일단 찬성이다. 무엇보다 이제는 이걸 활용하지 않으면 업무 효율에서 무조건 뒤처지겠다는 생각이 든다. 무조건 써야 하는 게 되어 버릴 것 같다.
아래는 PM의 미래에 대해 챗GPT와 나눈 대화의 전문이다. 각자 직업에 대해 챗GPT에게 한번 물어보시길!
Q. What should I do as a product manager to prepare for the AI era?
A. As a product manager, preparing for the AI era requires a combination of technical knowledge, strategic planning, and people skills. Here are some steps you can take to prepare:
Develop a basic understanding of AI technologies: As a product manager, you don't need to be an expert in AI, but you should have a solid understanding of the basics. You should know what AI is, what it can and can't do, and how it's being used in the industry.
Identify potential AI use cases: You should explore and identify opportunities where AI can be used to improve your product's features and capabilities. AI can help automate repetitive tasks, provide personalized recommendations, and enable new types of user experiences.
Identify data sources: AI algorithms need a large amount of quality data to be trained effectively. Identify the data sources needed for your product, and start collecting and cleaning that data.
Build a strong AI team: Hiring the right people is crucial to building a strong AI team. Look for people who have experience in machine learning, data science, and software engineering.
Collaborate with other teams: AI projects require cross-functional collaboration between product, engineering, and data science teams. Build strong relationships with these teams and work together to identify AI opportunities and implement them effectively.
Keep up with AI advancements: The field of AI is constantly evolving. Stay up-to-date with the latest advancements and trends, attend conferences and events, and network with other professionals in the field.
Stay focused on the user: As with any product development, it's important to stay focused on the user's needs and goals. Use AI to enhance the user experience, not just to add buzzwords to your product.
By taking these steps, you'll be well on your way to preparing your product for the AI era.
Q. Explain more specifically about the theme above. What is the action plan in 2023?
A. Sure, here is an action plan for product managers in 2023 to prepare for the AI era:
Assess your product: The first step is to evaluate your product and identify potential areas where AI can be leveraged to improve the user experience or add new functionality.
Develop a strategy: Once you have identified potential use cases for AI, develop a strategy for how to implement these features. This should include a plan for data collection, algorithm development, and integration into your product.
Build your AI team: Hire the right talent to build and maintain your AI capabilities. This should include data scientists, machine learning engineers, and software developers with expertise in AI and related technologies.
Gather and clean data: Gather and clean the necessary data to train your AI models. This may require collaboration with other teams, such as data analysts or IT departments.
Experiment with AI: Start small and experiment with AI by building prototypes or running pilot programs. This will help you refine your strategy and identify potential roadblocks before scaling up.
Ensure compliance: Ensure that your AI capabilities comply with ethical and legal guidelines, such as data privacy regulations and bias mitigation.
Stay up-to-date with AI advancements: The field of AI is constantly evolving, so it's important to stay informed of the latest trends and advancements. Attend conferences, read industry publications, and network with other professionals in the field.
Collaborate with other teams: Collaboration with other teams such as engineering, design, and marketing is crucial for the success of AI projects. Foster a culture of cross-functional collaboration to ensure that everyone is working towards the same goals.
By following this action plan, product managers can successfully prepare their products for the AI era in 2023 and beyond.
Q. What are the most important skills to develop in the situation above?
A. In order to prepare for the AI era as a product manager, there are several important skills to develop. These include:
Technical knowledge: While product managers do not necessarily need to be experts in AI, they should have a solid understanding of the technology and how it can be used to enhance their products. This includes knowledge of machine learning, data science, and software engineering.
Strategic thinking: Developing a strategy for integrating AI into a product requires strategic thinking. Product managers need to identify use cases, evaluate potential risks and benefits, and make informed decisions about how to implement AI in a way that aligns with the product's goals and objectives.
Collaboration: AI projects require collaboration between product managers, engineers, data scientists, and other stakeholders. Product managers must be able to communicate effectively with team members and foster a culture of collaboration and teamwork.
User-centered design: As with any product development, the user should be at the center of the process. Product managers need to ensure that AI is being used to enhance the user experience and provide value to customers.
Data analysis: AI relies on quality data to train algorithms effectively. Product managers should have a basic understanding of data analysis and be able to work with data analysts and data scientists to collect and analyze data.
Agile methodology: AI projects often require an agile approach to development, with frequent iterations and testing. Product managers should be familiar with agile methodologies and be able to manage projects using these techniques.
By developing these skills, product managers can effectively prepare their products for the AI era and leverage the technology to provide value to their customers.
Q. What if the AI replaces the role above, such as "Strategic Thinking", "User-Centered Design", and "Data Analysis"? What is the role left for the human product manager?
A. While AI may automate certain aspects of product management, there are still important roles for human product managers in the AI era. Here are some of the key areas where human product managers can provide value:
Strategic vision: AI may be able to analyze data and make recommendations, but it still requires human oversight to set strategic direction and make decisions about where to invest resources.
User empathy: AI can help personalize user experiences, but it can't replace human empathy and understanding of user needs and pain points. Product managers play a crucial role in identifying user needs and ensuring that products meet those needs.
Creativity: While AI can generate new ideas and possibilities, it is not yet capable of truly creative thinking. Product managers can bring their creativity and imagination to the process of developing new products and features.
Ethical considerations: AI can help automate decision-making, but it requires human oversight to ensure that those decisions are ethical and aligned with the company's values and goals.
Collaboration and communication: Product managers are often responsible for managing cross-functional teams, and this requires strong communication and collaboration skills. AI may be able to automate certain aspects of project management, but it cannot replace human interaction and relationship-building.
In short, while AI may be able to automate certain tasks and provide insights, it still requires human oversight and guidance to ensure that it is being used in a way that aligns with the company's goals and values. Human product managers can provide strategic vision, user empathy, creativity, ethical considerations, and collaboration and communication skills to ensure that AI is used effectively and responsibly.
