Agent-driven product development management [sequel]: How to use AI big models to create full-process automation of PRD
How can AI big models revolutionize the way product managers work? Explore the full-process automation solution based on the Agent framework.
Core content:
1. Analysis of daily challenges and pain points faced by product managers
2. Innovative applications of AI big models in product management
3. Automated PRD generation and management based on the Agent framework
In today's rapidly evolving technological environment, product managers are facing increasing pressure. Demand analysis, competitive product research, PRD writing, review and modification, development plan formulation... This series of work is not only tedious, but also requires a high degree of professionalism and collaboration. If there is an AI assistant that can assist in all these tasks, how will it change the way product managers work? Today, I will introduce to you a product management assistant based on a big model, which can automate the daily workflow of product managers, improve efficiency, reduce errors, and allow product managers to focus more on innovation and strategic thinking.
Keywords: #ProductManager#PRD#ProductRequirementsDescription#BigModel#agent#ProductR&D#CollaborativeAutomation
Business Background: Daily Challenges of Product Managers
As a bridge between users, designers and developers, the work of product managers is full of challenges:
1. Demand collection and analysis : It is necessary to continuously collect market information, user feedback, and conduct in-depth analysis
2. Competitive product research : You need to fully understand the product features, advantages and disadvantages of your competitors.
3. PRD document writing : product functions, user scenarios and technical requirements need to be clearly and accurately described
4. PRD review and modification : It is necessary to coordinate the opinions of all parties and continuously modify and improve the PRD document
5. Development plan formulation : development resources and timeline need to be arranged reasonably
6. Product launch preparation : need to ensure product quality and user experience
These tasks require not only professional knowledge, but also a lot of time and energy. Especially in the rapid iteration of Internet product development, product managers are often exhausted and find it difficult to ensure the quality of each link.
User pain point analysis
Through in-depth communication with many product managers, we found that they face the following pain points in their daily work:
1. Low efficiency in information acquisition : It takes a lot of time to collect information on search engines and various websites
2. Competitive product analysis lacks systematicity : Competitive product analysis often relies on personal experience and lacks systematic methods and visualization tools.
3. Unstable quality of PRD documents : Affected by time and personal status, the quality of PRD documents varies
4. Chaotic version management : After multiple revisions of the PRD document, version management becomes chaotic and it is difficult to track changes
5. Development planning is difficult : it is difficult to accurately estimate development time and resource requirements
6. High communication cost : Need to constantly communicate with all parties to explain the PRD content and coordinate differences of opinion
These pain points not only affect the work efficiency of product managers, but may also cause delays and quality issues in the product development process.
Description and value of innovation
To solve the above pain points, we developed a product management assistant based on the big model. This assistant integrates multiple functions and can fully support the daily work of product managers.
Overall program flow chart
Main innovations
1. Intelligent workflow engine : Based on the Agent framework, it can automatically plan the order of tool use according to user needs and realize the automated processing of complex tasks.
2. Multi-source information acquisition : Integrates multiple search engine APIs to quickly obtain market information and competitive product data
3. Intelligent PRD generation and management : It can automatically generate PRD documents according to user needs and provide version management function
4. Visual analysis tool : Provides competitive product comparison radar charts, bar charts and development plan Gantt charts to intuitively display analysis results
5. Visual version comparison : can intuitively display the modified content of PRD documents, making it easier to track changes
6. Error handling mechanism : perfect error handling mechanism to ensure stable operation of the program
Value
1. Improve efficiency : Automate the information collection and analysis process, greatly improving the work efficiency of product managers
2. Improve quality : Intelligent analysis based on large models provides professional and comprehensive analysis results
3. Reduce costs : reduce manual operations and reduce labor costs
4. Promote collaboration : Promote team collaboration through visualization tools and version management
5. Empower decision-making : provide data support to assist product decision-making
Key Implementation Notes
1. Information acquisition tools
The program provides two search tools and a browse tool for obtaining market information and competitive product data.
# Search Tools
def search ( keywords: list ):
# Search using Google Serper API
# ...
def search_exa ( keywords: list ):
# Searching using the Exa API
# ...
# Browsing Tools
def browse ( url: str ):
# Get the webpage content of the specified URL
# ...These tools can help product managers quickly obtain market information, understand competitive product trends, and provide data support for product decisions.
3. PRD document management tool
The program provides the functions of saving, loading and listing PRD documents, which is convenient for product managers to manage PRD documents.
These tools can help product managers effectively manage PRD documents and avoid document loss or confusion.
4. Visualization Tools
The program provides the function of generating Gantt charts and competitive product comparison charts to intuitively display development plans and competitive product analysis results.
The Gantt chart can intuitively display the development plan, including the task timeline and responsible persons; the competitive product comparison chart can display the differences between the product and competitors in multiple dimensions, helping product managers discover the advantages and disadvantages of the product.
5. Version comparison tool
The program provides a PRD document version comparison function similar to GitHub, which intuitively displays the modified content.
This tool can generate difference comparison files in HTML format, visually displaying the modified content of the PRD document and making it easier to track changes.
6. Intelligent workflow engine
An intelligent workflow engine is implemented using the Agent framework, which can automatically plan the order of tool use according to user needs and realize the automated processing of complex tasks.
This workflow engine is the core of the program. It can automatically plan the order of tool usage according to user needs and realize the automation of complex tasks. For example, when a user needs to conduct competitive product analysis, the engine will automatically plan the order of using tools such as search, browsing and visualization, and finally generate a competitive product analysis report.
Practical application cases
Let’s take a look at a real case and see how this product management assistant can help product managers get their work done.
Case: Competitive analysis of new social products
Suppose a company plans to develop a new social product. The product manager needs to conduct a competitive analysis to understand the market status and the strengths and weaknesses of competitors.
Step 1: User input requirements
The product manager inputs to the assistant:
I need to conduct a competitive analysis on the social software market, focusing on the social functions, content distribution, user stickiness and commercialization capabilities of products such as WeChat, QQ, Weibo, Tik Tok and Xiaohongshu.
Step 2: The assistant automatically plans the workflow
After analyzing user needs, the assistant automatically plans the workflow:
1. Use the search tool to obtain basic information about each product
2. Use the Browse tool to get detailed information
3. Organize and analyze data
4. Generate a competitive product comparison chart
5. Generate analysis report
Step 3: Execute the workflow
The assistant performs the tasks in the workflow in sequence:
[Tools used]:
Question: Search for information about the social software market and major competitors
Passed parameters: {'keywords': ['social software', 'WeChat', 'QQ', 'Weibo', 'Tik Tok', 'Xiaohongshu', 'Competitive product analysis']}
Tool: search_exa
====================================================
The results are: {"results":[{"text":"Analysis of competitive products in the social software market: WeChat, QQ, Weibo, Douyin and Xiaohongshu\n\n1. WeChat\n- Social functions: private chat, group chat, Moments, video calls\n- Content distribution: public accounts, video accounts, mini programs\n- User stickiness: high (daily active users exceed 1 billion)\n- Commercialization capabilities: WeChat payment, mini program e-commerce, advertising\n\n2. QQ\n- Social functions: private chat, group chat, QQ space, video calls\n- Content distribution: interest tribes, QQ mini programs\n- User stickiness: medium-high (young user groups)\n- Commercialization capabilities: QQ membership, games, advertising\n\n3. Weibo\n- Social functions: follow, comment, private message, forward\n- Content distribution: hot search, recommendation flow, topic\n- User stickiness: medium (mainly information acquisition)\n- Commercialization capabilities: advertising, membership, e-commerce\n\n4. Douyin\n- Social functions: follow, comment, private message, live interaction\n- Content distribution: algorithm recommendation, challenge, topic\n- User stickiness: high (average usage time is long)\n- Commercialization ability: live streaming, advertising, Douyin store\n\n5. Xiaohongshu\n- Social functions: follow, comment, private message, community\n- Content distribution: grass-planting notes, interest community\n- User stickiness: medium-high (female user group)\n- Commercialization ability: grass-planting, advertising, Xiaohongshu mall"}]}...
[Tools used]:
Problem: Generate a competitive radar chart
Passed parameters: {'data': [{'Product Name': 'WeChat', 'Social Function': 9, 'Content Distribution': 8, 'User Stickiness': 9, 'Commercialization Capability': 9}, {'Product Name': 'QQ', 'Social Function': 8, 'Content Distribution': 6, 'User Stickiness': 7, 'Commercialization Capability': 7}, {'Product Name': 'Weibo', 'Social Function': 7, 'Content Distribution': 8, 'User Stickiness': 6, 'Commercialization Capability': 7}, {'Product Name': 'Douyin', 'Social Function': 6, 'Content Distribution': 9, 'User Stickiness': 8, 'Commercialization Capability': 8}, {'Product Name': 'Xiaohongshu', 'Social Function': 7, 'Content Distribution': 7, 'User stickiness': 7, 'Commercialization capability': 6}], 'chart_type': 'radar'}
Tool: generate_comparison_chart
====================================================
The result is: The chart has been generated, save path: ..\charts\comparison_chart_20240601_123456.pngStep 4: Generate analysis report
The assistant automatically generates an analysis report based on the collected information and generated charts:
Through this case, we can see how the product management assistant can help product managers quickly complete the competitive product analysis. The entire process is highly automated. Product managers only need to put forward requirements, and the assistant can automatically complete information collection, analysis, and report generation, greatly improving work efficiency.
Future development direction
Although the current product management assistant already has powerful functions, there are still many directions for expansion:
1. Multimodal Input and Output
The current assistant is mainly based on text input and output. In the future, it will be able to support multimodal interaction methods such as voice input and image recognition, making the user experience more natural and smooth.
2. Enhanced collaboration features
Add team collaboration function to support multiple people editing PRD documents at the same time, synchronize changes in real time, and improve team collaboration efficiency.
3. Enhanced data analysis capabilities
Enhance data analysis capabilities, support more complex market analysis and user behavior analysis, and provide stronger data support for product decisions.
Summarize
The product manager PRD assistant based on the big model is an innovative application of AI technology in the actual business scenario. It automates the daily workflow of product managers, improves efficiency, reduces errors, and allows product managers to focus more on innovation and strategic thinking.
The core value of this assistant is:
1. Efficiency improvement : Automated information collection and analysis process, greatly improving the work efficiency of product managers
2. Quality assurance : Intelligent analysis based on large models provides professional and comprehensive analysis results
3. Cost reduction : reduce manual operations and reduce labor costs
4. Collaboration promotion : Promote team collaboration through visualization tools and version management
5. Decision-making empowerment : provide data support to assist product decision-making
With the rapid development of AI technology, such tools will become a powerful assistant for product managers, helping them gain an advantage in the fierce market competition. In the future, with the continuous advancement of technology, the functions of such tools will be more powerful and the application scenarios will be more extensive.
