Author: JD Retail He Yuhang
“The 4.0 version of ChatGPT can effectively improve the work efficiency of product managers, but it cannot replace the role of product managers.”
On March 15, OpenAI released the latest ChatGPT based on GPT-4, and the discussion about its intelligence has been unprecedentedly high on the Internet.
I have experienced version 3.5 before and found it difficult to apply in actual work. After the launch of version 4.0, there is no detailed introduction to the work of auxiliary product managers on the Chinese Internet. Therefore, based on GPT-4, I sorted out the methods to help product managers improve efficiency throughout the entire process, and compiled some prompts. This article aims to share these gains, hoping to inspire others.
ChatGPT is a large-scale neural network model developed by OpenAI. By pre-training large amounts of text data to learn language patterns, knowledge, reasoning and other abilities, this technology is called generative pre-training transformation. By fine-tuning on specific tasks, the model can be applied to a variety of different natural language processing tasks, including text generation, question answering, and summarization.
ChatGPT aims to achieve the goal of interacting with humans naturally and smoothly by understanding and generating human language, and can be applied to various scenarios. It can read large amounts of text data to understand context, answer questions, and provide information related to a specific topic.
GPT-4 is the fourth generation natural language processing model released by OpenAI. Compared to 3.5:
1. Higher accuracy and collaboration: GPT-4 has improved in accuracy, creativity and collaboration, and the likelihood of accurate responses has increased by 40%.
2. Multi-modal processing capabilities: GPT-4 can not only process text, but also has the ability to process images and videos, allowing users to submit text and images at the same time, allowing the model to process and discuss both aspects of content. .
According to actual experience, ChatGPT3.5 can only be regarded as an interesting toy, while ChatGPT4 is already truly usable at work.
To answer this question, you first need to understand a new concept: prompt (prompt), that is, communicating with ChatGPT When the user inputs content. A "prompt" can be a question, a text description, or even a text description with a series of parameters. The AI model will generate corresponding text or pictures based on the information provided by the "prompt". Proficient use of "hints" will definitely become a must-have for product managers within five years.
It should be noted that all the tips in this article are simulated by me based on various APPs on my mobile phone, and do not represent the products I work on. The manager's work does not represent the situation of our company.
①Use WBS work decomposition technology to break down the work in a structured way.
②Aim at each process in the work, clarify the key issues in these processes
③Question words for efficient operation.
Questioning is a very important skill to gradually refine the required information and conduct in-depth discussions on the results. When asking questions, don’t omit the background information above. Otherwise it cannot be completely based on your background output.
①Background: Need to comply with the 5W1H principle
②Constraints: constraints to achieve goals: such as time constraints, money constraints, personnel constraints, etc. .
③Goal: Need to comply with the SMART principle
Must make full use of ChatGPT To improve efficiency, a step-by-step analysis is required based on the product manager’s workflow. In this article, I selected a more general workflow:
and rated these processes:
1 .Market research: efficiency-improving ability⭐️⭐️
2. Product planning: efficiency-improving ability⭐️⭐️⭐️⭐️⭐️
3. Solution design: efficiency-improving ability⭐️⭐️⭐️⭐️
4. Project promotion: efficiency improvement capability⭐️⭐️⭐️⭐️
5. Operation promotion: efficiency improvement capability⭐️⭐️⭐️⭐️
6. Data analysis and iterative upgrade: efficiency improvement capability⭐️ ⭐️⭐️⭐️
7. Project Report: Efficiency Improvement Ability⭐️⭐️⭐️
Overall, ChatGPT can effectively assist product managers in thinking about the framework. As for the implementation of the solution, product managers still need to think deeply.
The following is a detailed introduction:
In the market research process, product managers need to have an in-depth understanding of market trends, competitive landscape and User needs. In order to formulate product plans that are more in line with market and user needs. The advantages and disadvantages of ChatGPT are as follows:
Let’s talk about the disadvantages first:
•The information timeliness of ChatGPT ontology is very poor, and data training is until September 2021. Although the timeliness problem can be solved through a plug-in, the plug-in has not been officially launched as of March 26.
•ChatGPT will make up content that he doesn’t know, so you need to pay special attention to screening.
Let’s look at the advantages: ChatGPT has excellent summary capabilities. With good “prompts”, it can make very structured summaries, which can speed up product managers’ analysis of online information.
Prompt:
When using it for market research, it is recommended not to ask direct questions about market trends. The answers will be too broad and have no reference value. It is recommended to conduct preliminary research on the market first and organize it. For some materials, ChatGPT is used for auxiliary analysis. It should be noted that if you only provide a link to the article, he may still make up his answer to you. So far, he still needs to input the content of the article to ensure the accuracy of the analysis. The maximum number of characters entered per time is 4096.
The following are some cases:
Prompt (prompt) Negative cases: Ask directly, the data is too old, and the usability is poor.
Prompt words:
Prompt words: [A large section of my article content, the input is an article about young people worshiping Buddha] What is the theme of this article, what is the argument, what are the arguments for each argument, and whether it can support the argument.
Answer:
Article topic: Young people seek spiritual solace, and temple bracelets have become a popular choice
Argument 1: Young people face stress and anxiety, and temples have become a popular choice for spiritual solace. The place.
Argument 1: Young people are surrounded by stress, worries, and anxiety, and they need a place to vent. Going to the temple to worship Buddha has become a way for them to relieve their pain.
Argument 2: Temple bracelets meet the needs of young people.
Argument 2: Different temples have specialized “vertical categories” that can satisfy the common pain points of young people. Young people buy bracelets mainly for wealth and career, but less for marriage.
Argument 3: Requesting bracelets on behalf of others has become a business.
Argument 3: After Miaomiao observed this trend, she started a bracelet agency business. The online order-taking process is relatively simple, but offline purchase of bracelets requires queuing and takes time. The requester relies on "errand fees" to make money.
Argument 4: Agents who have been in the industry for a long time can earn higher profits through a stable source of customers and the business of bead modification.
Argument 4: Some agents have accumulated a stable customer base on social platforms and can make a lot of money by relying on "small profits but quick turnover". Mature agents have also started a bead modification business, recombining bracelet beads to create bracelets that are more popular and have greater profit margins.
Overall, the article demonstrates the popular status of temple bracelets in the current society by listing the needs of young people to seek spiritual comfort, the attraction of temple bracelets, and the profit model of purchasing bracelets on behalf of others. These arguments support the argument of the article to a certain extent.
Summary: The current information timeliness of ChatGPT is too poor, and its role in market research can only be rated as two stars. After the real-time data plug-in is launched, the rating is expected to increase to four stars. But it still cannot replace the market research work of product managers. "If you want to know the taste of pears, you have to taste them yourself." No online information can replace actual user research. ChatGPT can only speed up your understanding of the market, but real judgment still relies on "human" wisdom.
Starting from the next chapter, I will imagine myself as a product manager living in a local area and go through the complete application process of ChatGPT.
After completing market research and user analysis, product managers need to clarify user needs and start product planning. From this stage onwards, ChatGPT will demonstrate its powerful efficiency-improving capabilities. As mentioned earlier, ChatGPT has a strong ability to summarize. Although the specific products vary widely, the product types are actually relatively limited, which means that ChatGPT can well output the current planning of various products.
When product managers face a new field, they will worry about the thoroughness of planning, so they need to invest a lot of time in learning the product planning method. With the support of ChatGPT, this process can be greatly shortened.
Below I will use a complete case to demonstrate how to help product managers work
Prompt case 1: Consulting on product planning for local life
Prompt words: Our company is A short video company with a large number of users and good user stickiness. Now that we plan to enter the local lifestyle market, I would like to ask how the product planning should be designed. Which aspects need to be focused on? Please think carefully before answering.
Answer:
As a short video company, it already has a large number of users and good user stickiness, and it has certain advantages to enter the local life market. In terms of product planning, you can start from the following aspects:
User demand analysis:
In-depth understanding of the needs of target users in local life, such as catering, shopping, entertainment, fitness, and housekeeping Services etc. Through user research, competitive product analysis and other means, we will clarify the core problems that the product needs to solve and user pain points.
Positioning and differentiation:
Clear product positioning based on user demand analysis. In the fiercely competitive local lifestyle market, find differentiated entry points, such as focusing on content marketing, strengthening social attributes, providing personalized recommendations, etc., to make your products stand out in the market.
Functional design:
Design product functions based on positioning and user needs. Focus on the following aspects:
1. Content aggregation: Integrate high-quality local merchants and service providers to provide users with rich local life information and services. You can consider combining it with short video content to allow users to understand businesses and services more intuitively through short videos.
2. Personalized recommendation: Use big data and user behavior analysis to provide users with personalized recommendation services, including local businesses, promotions, popular topics, etc.
3. Social interaction: Encourage users to share their local life experiences and participate in interactive behaviors such as commenting, rating, and posting orders. At the same time, you can consider introducing social elements so that users can follow, interact and establish connections to form a community atmosphere.
4. Promotions and activities: Cooperate with local merchants to provide users with various coupons, discounts, points exchange and other preferential activities. You can use the publicity power of short video platforms to attract user participation.
5. Convenient payment and booking: Provide convenient payment and booking functions, allowing users to easily purchase goods and book services online. Consider supporting multiple payment methods, such as Alipay, WX payment, etc., to meet the payment needs of different users.
6. Intelligent customer service and after-sales support: Provide users with intelligent customer service to solve problems they encounter during use. In addition, establish a sound after-sales service system to promptly handle user feedback issues and improve user satisfaction.
7. Data analysis and operation: Continue to pay attention to product operation data, such as user activity, retention rate, conversion rate, etc., and optimize product functions and operation strategies in a timely manner. Take advantage of the short video platform to plan various online activities and theme promotions to increase user stickiness.
8. Cross-platform integration: Consider in-depth integration of local lifestyle products and short video platforms, such as content distribution, user portraits, account interoperability, etc., to achieve collaboration between platforms.
Prompt Case 2: Formula Decomposition
Based on the established advantages of our short videos, we are indeed going to launch local life business. The indicator we are mainly concerned about is GMV. Please conduct a formulaic dismantling of GMV based on the characteristics of local life. Each indicator needs to be disassembled twice. Since new products are not created overnight, please tell me which 3 indicators I should focus on first based on the first version and why.
Answer:
First, we break down GMV (total transaction volume) into the following key indicators:
Number of users (U): Number of new users ( NU) Number of active users (AU)
Conversion rate (CR): Browse conversion rate (BTR) * Order conversion rate (OTR)
Average order amount (AOV): Average product price (ASP) * Average Order Quantity (AOQ)
Based on this, GMV = U * CR * AOV.
For the first version of a new product, it is recommended to pay attention to the following three indicators:
Number of new users (NU): As a new product, attracting new users is very critical. By focusing on the number of new users, we can understand the market appeal of the product and evaluate the effectiveness of marketing and promotional activities.
Number of active users (AU): The number of active users reflects the user's stickiness and satisfaction with the product. Paying attention to the number of active users can help you understand whether product functions, experience, promotions, etc. meet user needs, thereby optimizing products and improving user stickiness.
Order conversion rate (OTR): The order conversion rate reflects the user's conversion from browsing to actual purchase. Paying attention to the order conversion rate helps to understand the commercial value of the product, as well as the room for optimization in user guidance, promotion activities and payment experience.
The reasons are as follows:
The number of new users and the number of active users are basic indicators, which directly affect the market share and reputation of the product. In the early stages of a new product, it is necessary to ensure that it attracts enough users and remains active to lay the foundation for subsequent commercialization.
The order conversion rate reflects the performance of the product in actual transactions. In the local lifestyle market, competition is fierce and user needs are diverse. By optimizing the order conversion rate, the commercial value of the product can be enhanced. Especially in the first version, optimizing the conversion rate can provide valuable experience for subsequent version iterations.
By paying attention to these three indicators, you can find the strengths and weaknesses of the product in the first version, providing strong support for subsequent version iterations and business expansion. At the same time, as your product develops, you may need to pay attention to other key indicators, such as conversion rate, average order amount, etc., to fully understand the operating status of your product and continue to optimize it.
As the product continues to develop and market share expands, you can gradually focus on other indicators to fully understand the operating status of the product and continue to optimize. For example:
Browse conversion rate (BTR): Browse conversion rate focuses on the process from browsing content to generating purchase intention. By optimizing page layout, personalized recommendations, and content quality, we can increase the likelihood that users will make a purchase during the browsing process.
Average Order Value (AOV): The average order value reflects the user’s consumption level in each transaction. Paying attention to this indicator can help understand users' consumption habits, thereby adjusting product structure, optimizing price strategies, and launching targeted marketing activities.
Average product price (ASP) and average order quantity (AOQ): These two indicators help understand the specific behavior of users during the purchase process, thereby optimizing product structure and promotion strategies. For example, increasing the average product price can be achieved by introducing high-value products or optimizing price strategies; increasing the average number of order products can stimulate users to purchase more products by setting up full discount activities, launching combination offers, etc.
User Satisfaction: Understand user satisfaction with products through user surveys, evaluation data, etc. Paying attention to user satisfaction can help continuously optimize product experience, improve user reputation and build brand loyalty.
Through the above cases, we can fully verify ChatGPT’s powerful ability in product planning. It may not be of much use to experts in a certain field, but it can be effective for newcomers who have just set foot in a certain product field. Improve the thoroughness of product planning thinking, greatly shorten planning time, and reduce potential risks caused by poor product planning.
Of course, ChatGPT only provides a complete framework (based on its powerful summary ability), and product managers still need to make detailed plans based on the specific scenarios of the company's business.
After the product manager completes product planning, he will enter the solution design stage, where he needs to design a product solution and output product documents. At this stage, ChatGPT can still effectively help product managers.
Product managers need to master the granularity of “prompts” and be careful to avoid leaking company information.
Good tips should include: background, pain points, target users, and a solution.
This can effectively help product managers sort out what functions the solution needs to include.
Prompt Case 1:
Our company is a short video company. I am responsible for the social interaction module in this local life project. How should the product plan be developed and what aspects need to be considered.
Answer:
When responsible for the social interaction module in the short video company’s local life project, the product plan should consider the following aspects:
User needs analysis: Understand the user’s Social needs in local life scenarios, including making new friends, obtaining local information, participating in activities, etc.
Interactive forms: Design various interactive forms to meet the social needs of different users. For example, comments, private messages, group chats, etc.
Content recommendation: Use algorithms to analyze user behavior and recommend relevant local content to users, such as local hot topics, activities, businesses, etc.
Community building: Encourage users to participate in community building, such as posting updates, sharing experiences, participating in topic discussions, etc. Establish community rules and maintain a good atmosphere in the community.
User incentive mechanism: Design incentive mechanisms such as points, badges, and rankings to encourage users to actively participate in interactions and improve user activity and retention rates.
Security and privacy protection: Ensure the security of users’ personal information.
If you want to know the details of a certain function, you can also ask questions. The case is as follows:
Tips Case 2:
Your answer is very comprehensive, I want to know more How to design local life projects based on short video products and user interaction forms. What key points need to be considered? Please think carefully before answering
For local life projects based on short video products, the design of user interaction forms should consider the following key points:
Video interaction: ①Comments and replies: Allow users to post comments under short videos, and support replies and comments so that users can share opinions and discuss. ② Barrage function: Allow users to send barrages while watching short videos to enhance the interactive experience. ③Reporting and blocking: Provide the function of reporting harmful content and the option of blocking specific users to maintain a good atmosphere in the community.
Social functions: ①Add friends: Users can follow other users through search or recommendations to establish connections. ②Private messages: Supports users to send private messages to each other for one-on-one communication. ③Group chat: Create groups related to local life, allowing users to join and participate in topic discussions.
Local life activities: ①Online activities: Hold online activities with local themes, such as live broadcasts, Q&A, topic discussions, etc., to encourage users to participate. ②Offline activities: Organize offline gatherings, experience activities, etc. to give users the opportunity to experience local life in person and make friends with like-minded friends.
Personalized recommendations: ① Recommendation based on user behavior and interests: Based on the data of users watching short videos, interacting and participating in activities, analyze user interests and recommend relevant local content and activities. ② Social relationship chain recommendation: Based on the user’s social relationship chain, recommend friends and relatives or follow local activities and topics that the user participates in.
User-generated content: ① Encourage users to publish short videos of local life: guide users to share local food, travel, culture and other content to enrich the video resources of the local life section. ② Design challenge activities: By holding theme challenge activities, users are encouraged to create short videos and increase user participation.
Lists and rankings: ① Popular local content list: Based on short video views, interactions and other indicators, a local popular content list is generated to help users discover high-quality local life content. ②User rankings: Generate user rankings based on users’ contributions in interaction, participation in activities, publishing short videos, etc. to encourage users to stay active.
User feedback: ①User feedback channel: Provide feedback channels for users to collect user opinions on product functions, experience, etc., in order to continuously optimize the product. ②User evaluation: Allow users to evaluate local life-related activities, businesses, etc., to help other users understand and make better decisions.
Cooperation and sharing: ① Cross-platform sharing: Allow users to share short videos or event information to other social platforms to expand influence. ②Merchant cooperation: Cooperate with local merchants to provide coupons, activities, etc. to attract users to participate.
When designing user interaction forms, focus on the following points: ①User experience: Ensure that all interactive functions are easy to use, conform to user habits, and improve user satisfaction. ②Interesting: Provide attractive interactive forms to stimulate users’ interest in participation. ③Personalization: Make full use of user data to provide personalized recommendations and experiences to meet the needs and interests of different users.
Security and Privacy: Protect the security of users’ personal information, respect user privacy, and avoid misuse of user data.
Community building: Pay attention to the community atmosphere, encourage positive and healthy interactions, combat bad behavior, and make the community a place where users like to participate.
Data-driven: Continuously track and analyze user interaction data, optimize functions and strategies, and improve user activity and retention.
Taking the above aspects into consideration, we provide users with rich, interesting and easy-to-use interactive forms, thereby enhancing the attractiveness and competitiveness of short video products in the local life field.
In short, when designing a new product function, product managers often need to spend more time thinking about which function points to include. With the support of ChatGPT, it can very well inspire product managers, "Oh, so this The point is very important, I didn’t think of it before.” However, the specific product plan content requires detailed research and writing by the product manager based on the company's situation.
After sorting out the product plan, the product manager needs to write a product document (PRD), because the product document contains a large number of implementation details, which are limited by The company's information security and the capabilities and characteristics of ChatGPT make it difficult to expect it to completely help product managers output directly. I only provide one case (a fictional scenario, which does not involve the company's internal data). The full text is too long. If you are interested, you can study it yourself.
Tip case:
User-generated content is very important. Regarding this module, please design a complete product solution PRD document
##If the dependency interface document is provided to him, maybe he can really write a complete PRD. But this certainly involves company information security and should not be taken at risk. I believe that as everyone's understanding of ChatGPT continues to deepen, they will be able to find "tips" that can not only ensure the security of company information, but also quickly output.
Project promotion can be divided into broad and narrow senses. In a broad sense, pushing anything at work is project pushing. In a narrow sense, it specifically refers to promoting the product online after the product documentation is written. Whether in a broad or narrow sense, ChatGPT can provide effective help to product managers.
I believe that many product managers have encountered problems at work and struggled with how to solve them. Especially novice product managers will inevitably encounter various difficulties in the process of growing up. I believe everyone can understand the experience.
We often say in our work that there are three levels of work: "knowledge or not, ability or unwillingness". ChatGPT can let everyone understand how to do things correctly, which greatly lowers the threshold of "knowing what you don't know". Let me demonstrate some cases for you.
The format of this type of prompt: role scenario event question related role
Prompt case:
My company is still the company mentioned above, and my position is product manager. Currently, a new student has arrived in the department. He is a student from the school and has only done some simple product work before. How should I help him grow quickly in 3 months? What should be done first and what should be done later, what is the key point.
Answer:
In order to help new students grow quickly within 3 months, you can follow the following steps:
Understand the basics and strengths of new students: In the training plan Before you begin, learn about the basic knowledge, skills, and strengths of your new classmates. This will help you develop a targeted training plan.
Set clear goals and expectations: Discuss with new classmates and set goals that need to be achieved within 3 months. This may include understanding company culture, product development processes, business domain knowledge, communication skills, and more.
Phased training plan: The 3-month training plan is divided into multiple stages, with each stage focusing on different knowledge and skills. For example:
First month: Company culture and product process training to let new students understand the company's values, team atmosphere and product development process. At the same time, some relatively simple tasks are assigned so that new students can gradually become familiar with actual work and learn and grow in practice.
Second month: In-depth business domain knowledge, allowing new students to have a deeper understanding of the company's business model, user needs and competitive situation. In addition, new students can participate in some small product projects to better understand the process of product design, development and launch.
The third month: Communication and collaboration skills training to help new students improve their communication skills with team members and across departments. At the same time, new students are allowed to participate in more challenging projects to improve their ability to solve problems and assume responsibility.
Provide a mentor system: Assign an experienced mentor to new students. The mentor can provide practical guidance, share experience and skills, and help new students adapt to the work environment faster.
Regularly check progress: Communicate regularly with new students to understand their confusion and problems during the training process, and provide necessary support. Regularly check the progress of new students in practical work.
For the above scenarios, the solution provided by ChatGPT is indeed effective. It can be seen that ChatGPT can indeed help product managers answer difficult questions in work advancement.
Since broad sense project promotion can be handled, narrow sense project promotion is easier for ChatGPT. Below is a complex case that I abstracted and reprocessed. Let’s see how ChatGPT answers.
Prompt case:
The local life UGC project needs to be promoted across departments. This project is of high value to both teams, but the other team has several more urgent projects. conduct. How should I promote it to ensure that this product project can be launched as scheduled, because our leaders are very concerned about this project.
When promoting the local life UGC project across departments, the following strategies can be adopted to ensure that the project can be launched as expected:
Clear the project value: Communicate with other teams and explain the importance of the local life UGC project nature and potential value, and let them understand what this project means to the entire company.
Develop a reasonable project plan: Work with relevant teams to develop a feasible project plan to ensure that each stage of work has a clear time node and responsible person. Also ensure that the plan has some flexibility to deal with issues and changes that may arise.
Efficient communication: Hold regular project progress meetings to ensure that each team understands the latest developments of the project and resolves difficulties and questions in a timely manner. Project management tools such as Trello, Jira, etc. can be used when necessary to improve communication efficiency.
Provide support: Understand the resource status of other teams and help solve difficulties they may encounter in the project. At critical moments, you can report the situation to your leadership and seek more resource support.
Enhancing collaboration: Encourage collaboration among team members and improve work efficiency. Skill exchange and trust between teams can be strengthened through internal training, technology sharing and other activities.
Monitor progress: Pay close attention to the progress of the project and take timely measures for risks and issues that may affect the launch of the project. Maintain communication with leaders, report project progress, and strive for leadership support and trust.
It can be seen that ChatGPT has considered it very comprehensively, taking into account the possibility of allocating some of our resources for co-construction, and also taking into account the need for leaders to help communicate.
By using ChatGPT, it can effectively help product managers figure out how to promote projects, and product managers only need to explain their difficult usage tips clearly.
After the product is launched, the product manager also needs to formulate an operation and promotion plan so that the product can generate actual value. In this regard, ChatGPT can also provide effective framework suggestions to product managers.
In the prompt, you need to provide product type and target audience information.
Prompt Case 1:
Now the local life module in our short video product is online. Operational promotion is required. The promotion time is two and a half weeks and the total cost is 5 million. Please help formulate an operational promotion plan. Our company is located in mainland China.
Answer:
When formulating an operation and promotion plan for the local life module of short video products, the budget can be allocated to the following aspects in order to achieve good results within two and a half weeks. promotion effect.
1. KOL/Internet Celebrity Cooperation (Budget: 1.5 million)
Cooperate with some influential short video KOL/Internet Celebrities and let them promote the local area on their social media platforms life module. Choose KOLs that match your brand image and ensure their fan base matches your target users.
2. Platform advertising (budget: 2 million)
Place advertising on mainstream short video platforms and social media platforms, including Douyin, Kuaishou, WeChat Moments, etc. You can choose different forms of advertising, such as short video ads, banner ads, information flow ads, etc., to attract more potential users.
3. Regional offline activities (budget: 1 million)
Hold a series of offline activities in target cities, such as theme experience activities, small road shows, etc., to attract target users to participate. Through these activities, users can understand the functions and advantages of the local life module and enhance user stickiness.
4. Partner linkage (budget: 500,000)
Cooperate with well-known local life service providers (such as food, tourism, entertainment, etc.) to carry out mutually beneficial cooperation activities. For example, platform promotion resources are provided to partners, and partners provide exclusive offers or special services to platform users to increase users' interest in the local life module.
5. Social media operation (budget: 300,000)
Strengthen content operation on social media platforms and publish high-quality content related to local life, including soft articles, short videos, and topic discussions wait. Through these contents, users are guided to pay attention to and use the local life module.
6. User incentive plan (budget: 700,000)
Design a series of user incentive plans, such as new user registration rewards, invitation friend rewards, user sign-in rewards, etc. Through these incentives, users are encouraged to participate more actively in the local life module.
You can also ask questions to help locate key issues in the operation promotion plan:
Prompt case 2:
We have limited manpower and cannot do so many things at the same time. Which items should we focus on and why?
With limited manpower, you can focus on the following four operational promotion plans:
1.KOL/Internet celebrity cooperation (budget: 2 million)
Reason : KOL and Internet celebrities have a broad fan base and high social influence. They can bring a lot of attention and user traffic in a short period of time. By working with the right KOLs and influencers, you can quickly increase product visibility and attention.
Regional offline activities (budget: 1.5 million)
Reason: By holding regional offline activities, target users can increase their awareness and participation in the local life module. Offline activities can attract users more directly, while also establishing a good reputation in the local community.
User Incentive Plan (Budget: 1 million)
Reason: User incentive plan can effectively attract new users and increase the activity and stickiness of existing users. By designing various incentive measures, such as new user registration rewards, invitation friend
rewards, user sign-in rewards, etc., users can be encouraged to participate more actively in the local life module, thus promoting user growth and activity.
Social media operations (budget: 500,000)
Reason: Strengthening content operations on social media platforms can effectively increase the brand exposure of products. Publish high-quality content related to local life, including soft articles, short videos, topic discussions, etc. Through these contents, users are guided to pay attention to and use the local life module.
Due to limited manpower, we can focus on three aspects: KOL/influencer cooperation, regional offline activities and user incentive plans. They can quickly attract target users, increase product visibility, and increase user stickiness. . At the same time, appropriate attention should be paid to social media operations to further increase brand exposure.
In fact, if you want ChatGPT to answer any question, you can add a sentence to the prompt. What is the reason? Help everyone know what is happening and why.
ChatGPT’s data analysis capability is actually very strong. But currently, ChatGPT only supports inputting up to 4096 characters at a time. This is obviously insufficient when analyzing large amounts of data. Students who expect ChatGPT to shine in this area can wait for Microsoft's office365 copilot.
In addition, I would like to remind everyone that data analysis should have stepped on the company's red line. Please do not use ChatGPT for data analysis without the company's permission! And that's exactly why I gave him a low score.
As we all know, product evolution is an agile and continuous optimization process. Therefore, iterative upgrade actually means repeating the previous steps. During the iterative upgrade process, ChatGPT can also provide effective suggestions and solutions for product managers to help the product continue to be optimized and improved. I will not go into details.
As a product manager, project reporting is also part of the job, to synchronize project progress and personal growth in a timely manner. After practice, although ChatGPT has excellent text output capabilities, you still cannot rely on it to save a lot of time in reporting.
Mainly for two reasons:
1. The report is likely to involve the company's planning and data, which will involve the company's information security issues, so don't try it easily.
2. At present, ChatGPT’s ability to generate PPT is still relatively rudimentary. If you want to generate PPT with clear structure and high-level intentions, it is not realistic in the short term. You can look forward to office365 copilot, which may make a qualitative leap. .
Despite this, I still give this link 3 stars. Because ChatGPT is still very good at organizing and reporting frameworks, and it can also help everyone improve efficiency to a certain extent.
Prompt specifications: role, main work, reporting scenario, reporting object, reporting purpose.
Prompt case: I am a product manager who personalizes sorting of news information. I need to conduct a year-end summary report. The reporting object is the department product committee (10 people, all senior product managers of the department). I hope it can be done soon. To better present the work done during the year, please write a year-end summary report.
The above scenarios are fictitious by me. You can also try real reporting scenarios. By inputting "prompts" with specific scenarios, the time the product manager spends sorting out the reporting framework will be greatly shortened, and more time can be devoted to preparing the content of each chapter.
Overall, ChatGPT can help product managers in various work processes. Compared with version 3.5, the understanding ability of version 4.0 has made a qualitative leap, and it can significantly help product managers improve efficiency.
Whether it is product framework or work ideas, ChatGPT’s performance is excellent. This enables every product manager to obtain a comprehensive and reasonable thinking framework and method of action more quickly. It greatly lowers the threshold for product managers to "know what they don't know", allowing them to focus their work on practice and improve their "can or not" abilities.
Speaking of "can it", due to corporate information security, you still need to rely on the product to consider the details with your hands and brains. Even if information security is not a problem, in the short term, ChatGPT will not be able to solve the "can it" problem. What ChatGPT can do more is to reorganize and summarize existing knowledge, but cannot provide you with new knowledge that does not exist in the world. The new understanding based on various real scenarios is the important value of product managers.
If one day, ChatGPT can continue to [independently] generate some new scenarios and new methodologies as the world develops, then it will not only change the work process of product managers, but also directly reconstruct the entire society. Run logic.
ChatGPT, especially the emergence of version 4.0, has had a profound impact on all walks of life. As Jen-Hsun Huang said, its significance is no less than the release of the first-generation iPhone. In my opinion, ChatGPT is one of the important symbols of Industrial Revolution 4.0, because it lowers the threshold for everyone to apply AI through extremely simple interactions, making AI a tool that everyone can use.
Looking back at history, the first three industrial revolutions each fully liberated productivity and promoted the explosive growth of the global population and profound changes in social models. Today, artificial intelligence represented by ChatGPT, like textile machines in the first industrial revolution, internal combustion engines and electrical equipment in the second industrial revolution, and computers and networks in the third industrial revolution, will change our existing The way of working brings a new era.
Based on this, what I said above may be wrong. Just like when the steam engine was first invented, the coachman was thinking about how to improve the efficiency of the carriage, but later the coachman no longer existed. What will the future world look like? Time will give everyone the answer.
Finally, times are changing,
the retail essence of "cost, efficiency, experience" has not changed,
the user experience formula of "product, price, service" has not changed .
The relationship between "people, goods, and places" has not changed.
Only by grasping the underlying logic and embracing new technologies can we remain unchanged in response to ever-changing changes!
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