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AI Zero-Based Thinking

AI Zero-Based Thinking refers to "zero-based thinking using AI (ChatGPT)."

Zero-based thinking is effective for problem-solving and idea generation. However, zero-based thinking also has the following challenges.

  1. Time and effort are required

  2. Risks due to uncertainty

ChatGPT by using two challenges we will introduce "AI Zero-Based Thinking" that solves.

What is zero-based thinking?

Zero-based thinking means "to think about things from scratch by eliminating previous prerequisites and assumptions."

Temporarily forget conventional methods based on past successes or failures, and think of the solution idea most suitable for the goal.

Also, because zero-based thinking involves thinking without being bound by conventional premises or customs, it can generate ideas from new perspectives.

As society and the economy become more complex, zero-based thinking can be said to be a particularly necessary way of thinking for differentiation of products and services.

Challenges of zero-based thinking

Zero-based thinking is an effective way of thinking for problem-solving and idea generation.

However, zero-based thinking also has challenges. There are the following two challenges (problems) when performing zero-based thinking for problem-solving and idea generation.

  1. Timeandeffortare required

  2. Uncertaintydue torisk

1. Time and effort are required

Since zero-based thinking involves thinking about everything from a zero baseperspective, it is necessary to conduct sufficient analysis and research and think deeply. Therefore, a lot of time and effort is required.

Especially for large projects (plans, initiatives), more time and effort may be required.

2. Risks due to uncertainty

Thinking of completely new ideas without being bound by conventional methods or existing frameworks also carries risks.

Whether a new idea will succeed is uncertain. For example, there is a possibility that the new idea may not work well or that unexpected problems may occur.

How to solve the challenges

By solving the two challenges above, you can use zero-based thinking more effectively for problem-solving and idea generation.

There are the following solutions for each challenge.

  1. Improving the productivity of zero-based thinking

  2. Reducing the risk of zero-based thinking

1. Improving the productivity of zero-based thinking

To eliminate previous assumptions and preconceptions and think about everything from scratch, deep analysis and imagination are required.

To conduct deep analysis and exercise imagination, a lot of time and effort are required.

It is difficult to do these things on your own (using only human ability).

Therefore, when performing zero-based thinking, there is a method of utilizing AI (ChatGPT).

The reason is that ChatGPT is good at analysis.

It can process various information to understand meaning and find patterns. Based on these, it can also provide reasoning. (According to ChatGPT)

So, what about imagination?

In the next article, I tested ChatGPT's imagination level. As a result, it can be said that ChatGPT's imagination level is high.

By utilizing ChatGPT's capabilities as described above, there is a possibility that you can save a lot of time and effort required for zero-based thinking.

2. Risk Reduction in Zero-Based Thinking

To reduce risks due to uncertainty in zero-based thinking, it is necessary to gather a lot of information, analyze it, and perform appropriate evaluations.

As information to analyze, there is 3C information. 3C refers to the three elements: Customer, Company, and Competitor.

For example, you gather and analyze information such as "market trends, competitor information, and customer feedback."

Based on the analysis results, you can reduce risks by setting evaluation criteria and performing appropriate evaluations.

You can perform the information gathering and analysis described above using ChatGPT.

For reducing risks in zero-based thinking, it is effective to use ChatGPT's vast information and knowledge and leverage its analytical capabilities.

However, evaluation criteria must be determined by the person (the ChatGPT user). At that time, you can also have ChatGPT provide multiple candidates for evaluation criteria and use them as a base to set your evaluation criteria.

Using ChatGPT for risk reduction in zero-based thinking in this way also leads to saving time and effort.

AI Zero-Based Thinking

I will introduce steps for zero-based thinking that are effective for "problem solving and idea creation."

AI Zero-Based Thinking proceeds with the following steps to eliminate previous assumptions and think of ideas from scratch.

  • Step 1: Remove the influence of words

  • Step 2: Remove the influence of images

Words influence thinking. Furthermore, existing images influence thinking more strongly and deeply.

By removing the "influence of words" and the "influence of images," you can effectively proceed with zero-based thinking.

However, to perform Step 1 and Step 2, time and effort are required.

ChatGPT can be used to carry out "Step 1 → Step 2," which can significantly improve the productivity of zero-based thinking.

AI Zero-Based Thinking in this series of articles will introduce the specific methods mentioned above.

Series articles

  • Previous article

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