Engineers, Product Managers - let me ask you a question.

How many real use cases of Generative AI can you come up with for your organization?

When I asked a few engineer/PM friends of mine. the answers I mostly got were around Chatbots and Knowledge management.

In our enthusiasm to introduce AI in our processes, we might not be framing the use cases well.

And that is the problem.

It seems prompt engineering is 𝗡𝗢𝗧 the skill of the future but "𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗳𝗼𝗿𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻" is.

Oguz A. Acar, in his HBR article, argues that "problem formulation is a widely overlooked and underdeveloped skill for most of us".

"First, future generations of AI systems will get more intuitive and adept at understanding natural language, reducing the need for meticulously engineered prompts. Second, new AI language models like GPT4 already show great promise in crafting prompts — AI itself is on the verge of rendering prompt engineering obsolete."

Acar writes that there are four key components for effective problem formulation:

• Problem Diagnosis

• Decomposition

• Reframing

• and Constraint Design

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