What will be the results of letting AI products analyze themselves? This article takes Google Bard as the evaluation object, and let's take a look at the product analysis about Bard obtained by asking Bard to ask him and ask him to integrate.
Google Bard will be the AI-based intelligence core of Google's next-generation product, and it is also the most important AI product against OpenAI's ChatGPT and Claude. According to the data of the AI product list in November, Bard ranks fourth in the global AI product list in terms of visits and second in the global chatbot list, so how can you quickly get to know him?
Data source: AI product list aicpb.com
At this time, you might as well let Bard analyze itself to help us quickly understand Bard as a product. I mainly asked Bard questions from the three modules of product overview, 9 dimensions of the product canvas in Lean Startup, and key technologies, and the following is the product analysis about Bard obtained by asking Bard questions and asking him to integrate.
1. Product Overview
The following is a product profile generated by asking Bard a question, which can give him a basic idea.
2. Product canvas analysis of lean startup
The Lean Canvas is an improved version of the "Business Model Canvas" approach by Ash Maurya, author of Lean Startup in Action (2013). The Lean Canvas is an efficient action pointer and operational map for early-stage entrepreneurs, which has been used by many startups in Silicon Valley, and the 9 dimensions of the Lean Canvas are used to analyze and understand the product, and the degree of adaptation is also very high.
1. 问题（Problem）
The question I asked was, "What are the most pressing problems and pain points that Bard is targeting?", and here are the answers Bard generated:
2. 用户细分（Customer Segments）
The question I asked was, "Please enumerate all the user groups that might use Bard and briefly tell the user stories they have used the product", and here are the responses generated by Bard:
Here are 5 tables, each showcasing bard's prelude user groups and their user stories:
3. Unique Selling Point (UVP)
I asked the question, "Tell me about Bard's Unique Value Proposition (UVP): a concise but compelling statement that the product is different and worth buying," and here are the responses generated by Bard:
"Bard is a large language model developed by Google AI that can help users solve pain points in language, information, communication, learning Xi, and work efficiency, and become a powerful assistant in daily life. ”
This UVP succinctly summarizes Bard's core strengths, which are:
- Versatility: Bard can be applied to a variety of scenarios to meet the needs of different users.
- Practicality: Bard can help users improve efficiency, solve problems, and improve their skills.
- Companionship: Bard can be a friend and partner of the user, accompanying the user through their leisure time.
4. Solution
The question I asked was, "Please sort out the content (https://Bard.google.com/updates) in the link to this Bard version change history into the specific features that Bard provides", and here is the answer generated by Bard:
5. 渠道（Channels）
The question I asked was, "What do users know about Bard and where do users use Bard", and here are the responses generated by Bard:
6. 收入模型（Revenue Model）
The question I asked was: "What is Bard's revenue source and profit model", and here are the responses generated by Bard:
At present, Bard is in the research and development stage and has not yet officially launched a commercial version, so the specific revenue stream and profit model are still being explored. However, depending on Google's positioning and future plans for Bard, its potential revenue streams and monetization models may include the following:
7. 成本结构（Cost Structure）
The question I asked was: "What is Bard's cost structure, help me organize it into a tabular output", and here are the answers Bard generated:
8. 关键指标（Key Metrics）
I asked the question, "What are the key performance indicators (KPIs) to measure Bard's success, and put them together in a brief table", and here are the responses generated by Bard:
9. 竞争壁垒（Unfair Advantage）
The question I asked was, "What are the competitive advantages/competitive barriers that Bard can't easily replicate or buy from competitors?", and here's the answer Bard generated:
3. Key technologies
The question I asked was: "Tell me about the main techniques and main workflows you use to implement the feature", and here's the answer Bard generated:
Fourth, the actual experience
Let's talk about the advantages and disadvantages of Bard that I have actually experienced:
1. Pros
- In the case of scientific Internet access, he is currently free (free or incense).
- The information is updated in a timely manner, and combined with the "Google Search" function, it is easy to check Bard's answers.
- You can share a link to a Bard conversation so that others can easily see the content of the conversation and the source of the relevant information, and others can continue the conversation shared with me through a public link.
- It is possible to export Bard-generated forms to Google Sheets, as well as to Google Docs and Gmail. For programmers, he also supports exporting code that supports 18 programming languages to Replit, so you don't have to worry about making mistakes by copying missing spaces or something.
- Support text, picture, voice, URL input questions, and let him voice play answers.
2. Shortage
- There will be inconsistencies in the answers, such as inconsistencies in the time of launch.
- The same question can sometimes be answered, sometimes it can't.
- In most cases, it is not possible to generate a table according to the requirements in one step, and it is not possible to generate a table according to the required dimensions.
- Type in Chinese Simplified Chinese and occasionally get answers in English and Chinese Traditional.
- Copying answers is a little inconvenient.
When we get a new product, we can quickly grasp the information we want through the above dimensions and questions, and we are looking forward to the update and iteration of Bard.
This article was originally published by @游瑶的产品笔记 on Everyone is a Product Manager. Reproduction without permission is prohibited
The title image is from Unsplash and is licensed under CC0
The views in this article only represent the author's own, everyone is a product manager, and the platform only provides information storage space services.