I spent years collecting personality results. ENFP, then ENTP after I retook it, Strategic from CliftonStrengths, Visionary Creative from some workshop with a $400 deck. Every one came back with a tagline I could put on a coffee mug. None of them survived contact with a Monday morning.
Most self-analysis advice runs on the same fuel. A quiz, a vibe, a flattering label. The model scoring you has no skin in the game, so it defaults to whatever sounds compliment-adjacent. You close the tab feeling seen, then keep making the exact same decisions you were making before. The output was decorative, not functional.
This r/PromptEngineering thread is different. The prompt tells ChatGPT to treat you like an operating system. Inputs, bottlenecks, leverage, distortion risk. Three things in how it is built are worth stealing even if you never run the prompt itself.
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Score, do not summarize. Every ability gets seven numbers.
The prompt forces the model to rate each of your top abilities across seven dimensions: originality, execution, monetization potential, scalability, copy resistance, strategic value, and distortion risk. Seven numbers. No prose until the math is on the table.
This kills the thing that wrecks most self-reviews. When the only output is prose, the model writes you a love letter. When the output is a scorecard, it has to commit. A 4 in copy resistance is not the same as "you have a unique voice." One you can act on. The other is a Hallmark card.
Four verdicts do most of the work: preserve, scale, restructure, archive
After scoring, every ability gets exactly one verdict from a fixed list. That fixed vocabulary is doing a lot of work.
Preserve means the skill is valuable but fragile. Do not outsource it, do not dilute it, do not try to mass produce it. Scale means build systems around it now. Hire, document, automate. Restructure means the raw ability is there but the packaging is wrong (right skill, wrong audience, wrong format, wrong price). Archive means stop investing here, no matter how long you have been doing it or how much identity is tangled up in it. A real audit lives or dies on the archive list. If nothing made it, the model softened. Send it back.
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The NO DATA EXISTS rule is the entire point
The prompt bakes in one hard rule: if there is no evidence for an ability in the input, the model must write NO DATA EXISTS instead of inventing something. No padding. No "based on what you described, you seem to have natural emotional intelligence." If you did not put it in, it does not come out.
That sounds small. It is the whole reason this prompt works. Standard self-analysis prompts let the model fill gaps with flattery, and gaps are exactly where flattery does the most damage. Bake in a refusal clause and the output stops sounding like a horoscope.
3 things to actually do this week
🔹 Brief the model like a consultant on day one, not a friend. Paste real history into the prompt. Projects shipped, numbers attached, decisions made, things that failed. Not "I am good at marketing." Write the receipts. Vague input produces a vague spec. The richer the input, the sharper the output.
🔹 Force a scorecard before any prose. Bolt this onto any self-analysis prompt you already use: "Rate each ability 1 to 10 on originality, execution, monetization, scalability, copy resistance, strategic value, and distortion risk. Show the table before any commentary." Watch how much filler quietly disappears.
🔹 Read the archive section first. When the output lands, jump straight to what the model told you to stop doing. If nothing is there, the prompt got captured by your self-flattery. Add an explicit instruction that at least one ability must be archived, then re-run.
The thing nobody is saying out loud
A self-analysis prompt is only as honest as the person you show the output to. The model has no way to know that the "deep technical writing skill" you described is actually one decent post from 2022. You will read the verdict, nod, and move on. Someone who actually watches you work will say "I have never seen you do that," and that is where the audit starts being useful.
Run the prompt alone, then hand the report to one person who knows your week-to-week output. The places they push back are the gap between your self-perception and your actual track record. Most strategic mistakes live in that gap.
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Try it on yourself this weekend
Open ChatGPT. Paste the r/PromptEngineering prompt. Brief it with two pages of real history (shipped projects, numbers attached, public failures, key decisions you made and why). Read the archive list first. Then send the full output to one person who knows your work and ask them where the model got it wrong.
Before you do anything else with the report, ask yourself this out loud:
If a well-funded competitor wanted to put you out of business in the next six months, which of these "strengths" would they happily ignore, and which one would they go straight at? Name the skill. Name the move. Name the week they would start.
If the answer makes you flinch, the audit worked.
Worth half an hour if you have been confusing flattering self-reviews with strategic thinking.
