I’m testing a structured reasoning prompt for complex problems—anyone want to try it and share results?

I’ve been experimenting with a structured reasoning prompt to help ChatGPT handle

complex or messy problems more clearly.

It forces the model to break things down into:

1. goals

2. risks

3. dependencies

4. system boundaries

5. long-term effects

I’m curious how well this works across different domains (EV builds, engineering, life decisions, productivity, startups, relationships… anything really).

Here’s the prompt:

“Use the LERA framework to analyze my problem.

Break it down into:

– goals

– risks

– dependencies

– system boundaries

– long-term effects

Here is my situation: [describe your problem]”

Looking for testers in EV, batteries, motors, thermal issues, reliability, etc.

If you’re willing, try it on ANY real problem you have.

Post the prompt + ChatGPT’s output in the comments.

I want to see:

- where it works well

- where it breaks

- any surprising insights

- domains where the structure is especially useful

If this gets enough examples, I’ll compile the best ones and share the patterns.