Claude Opus 4.8 (also works well with GPT-5.4; models with strong reasoning depth produce sharper counter-arguments than fast/small models, which tend to default to generic "some critics say" hedging)You're a startup founder about to pitch investors on doubling down on a paid acquisition channel that has driven 80% of your growth over the past year. Before the meeting, you run this prompt against your own thesis — that concentrating spend in this channel is the right call — to see the strongest case against channel concentration risk, so you walk into the pitch having already answered the hardest question instead of improvising when a partner asks it live.learning

خلاصهٔ مخالف‌خوان: محکم‌ترین استدلال علیه دیدگاه خود را به‌صورت فولادین بسازید

اشتراک‌گذاری:
خلاصهٔ مخالف‌خوان: محکم‌ترین استدلال علیه دیدگاه خود را به‌صورت فولادین بسازید

Why this prompt matters

Founders and executives who only stress-test decisions with people already inclined to agree — a supportive co-founder, a friendly peer — walk into rooms with real scrutiny unprepared for the question that actually matters. Investors, boards, and skeptical new hires ask the hard question regardless of whether you're ready for it; the only variable is whether you've already thought it through calmly beforehand or you're constructing an answer in real time while being watched by the person deciding whether to fund, hire, or approve you. A rehearsed, confident response to the strongest objection reads as competence; an improvised one, even if ultimately correct, reads as a blind spot the room now feels obligated to probe further.

What we use it for

You're a startup founder about to pitch investors on doubling down on a paid acquisition channel that has driven 80% of your growth over the past year. Before the meeting, you run this prompt against your own thesis — that concentrating spend in this channel is the right call — to see the strongest case against channel concentration risk, so you walk into the pitch having already answered the hardest question instead of improvising when a partner asks it live.

Prompt

Role: You are a rigorous debate coach and research analyst whose job is to construct the strongest possible case against a position — using only legitimate evidence and sound reasoning, never a straw man.

Context: My position is: [STATE YOUR POSITION OR BELIEF IN ONE OR TWO SENTENCES]. I hold this position because [YOUR REASONING OR EVIDENCE FOR HOLDING IT]. I want to pressure-test this before [THE DECISION OR ACTION THIS BELIEF IS INFORMING, e.g., "presenting this recommendation to my board" or "making a budget decision based on it"].

Task: Construct the single strongest possible steelman argument against my position — the version of the counter-argument that a sharp, well-informed critic would actually make, not a weak version that's easy to dismiss.

Constraints:
- Do not list multiple weak counterarguments. Commit to ONE strongest opposing case and develop it fully.
- Distinguish between evidence you're citing with reasonable confidence and inference you're making — flag which is which.
- Do not soften the counter-argument with hedges like "some people disagree" — present it as the critic would, at full strength.
- Identify the single weakest link in my original position's reasoning or evidence, specifically, not a generic weakness.
- End with a falsification test: the specific evidence or event that, if it occurred, would most decisively prove my original position wrong.

Output Format:
## Steelman: The Strongest Case Against [Your Position]

### The Core Counter-Argument
[The single strongest opposing case, stated plainly]

### Supporting Evidence and Reasoning
[The evidence/logic a sharp critic would cite, with confidence level noted]

### The Weakest Link in Your Original Position
[The specific point where your reasoning or evidence is most vulnerable]

### What Would Prove You Wrong
[The specific, falsifiable evidence or event that would most decisively refute your position]

Result

Steelman: The Strongest Case Against Concentrating Growth Spend in One Paid Channel

The Core Counter-Argument

Your 80% growth concentration isn't evidence the channel is uniquely effective — it's evidence you've never tested whether it's merely the first channel you scaled, and platforms reward early, consistent spend with algorithmic favor that new entrants to the same channel don't get. The real risk isn't that the channel stops working; it's that a single platform policy change, CPM spike, or algorithm update — entirely outside your control — can remove 80% of your growth engine overnight, and you will have no tested alternative distribution motion to fall back on while you rebuild.

Supporting Evidence and Reasoning

This is a documented pattern, not speculation: multiple DTC brands that concentrated 70%+ of acquisition in a single paid social channel saw CAC increase 40-60% within two quarters when that platform changed its attribution model or ad auction dynamics (moderate confidence — this is a well-known pattern in growth marketing case studies, though your specific platform's risk profile may differ). The more specific and higher-confidence point: you have not stated what percentage of your budget, if any, has gone to testing a second channel at meaningful scale. Absence of that test is itself the evidence — you don't know your second-best channel's ceiling because you've never funded it enough to find out.

The Weakest Link in Your Original Position

Your reasoning treats "this channel drove 80% of growth" as proof of channel quality, when it's equally consistent with "this channel was the only one funded enough to compound." You haven't ruled out the alternative explanation, which means the causal claim underlying your pitch — this channel works best — is currently unfalsified rather than demonstrated.

What Would Prove You Wrong

Fund a second channel at 15-20% of total budget for one full quarter, holding creative quality constant. If CAC on that second channel comes in within 25% of your primary channel's CAC once it has comparable optimization time, your concentration strategy was a resourcing choice, not a quality signal — and the counter-argument holds.

بیشتر افرادی که ادعا می‌کنند «طرف مقابل را هم در نظر گرفته‌اند» در واقع فقط یک نسخهٔ ضعیف از آن را تصور کرده‌اند — نسخه‌ای که به‌راحتی قابل رد است و نتیجه‌گیری نهایی مدنظرشان را تهدید نمی‌کند. پرامپت زیر این میان‌بر را رد می‌کند. این پرامپت طوری طراحی شده که قوی‌ترین استدلال مخالف ممکن را بسازد — استدلالی که یک منتقد واقعاً تیزبین مطرح می‌کند، نه یک پهلوان‌پنبه‌ای که بتوان با یک جمله کنارش زد.

مانند تمام پرامپت‌های IRCNF، این پرامپت هم از الگوی نقش + زمینه + وظیفه + محدودیت‌ها + قالب خروجی پیروی می‌کند. انتخاب طراحی که این پرامپت را مؤثر می‌کند، الزام به پایبندی به یک استدلال واحد است که به‌طور کامل بسط داده می‌شود، نه یک لیست.

چرا یک استدلال، نه یک لیست از نکات مخالف

یک لیست از پنج ایراد ضعیف از نظر روانشناختی به‌راحتی قابل رد است — سریع به آن نگاه می‌کنید، می‌بینید که هیچ‌کدام به تنهایی مرگبار نیست، و بدون تغییر ادامه می‌دهید. اما یک استدلال فولادینِ واحد که کاملاً بسط داده شده باشد، به سختی کنار زده می‌شود، چون به شما اجازه نمی‌دهد ضعیف‌ترین مورد را برای رد کردن انتخاب کنید و پیروزی اعلام کنید. وادار کردن مدل به انتخاب قوی‌ترین استدلال خود و بسط کامل آن — به‌جای اینکه بین چند مورد پراکنده شود — چیزی تولید می‌کند که واقعاً باید با آن روبرو شد.

چرا به آزمون ابطال‌پذیری نیاز دارد

استدلال مخالفی که نتوانید تصور کنید در برابر آن شکست می‌خورید، در واقع آزمایش نمی‌شود — این یک نمایش است. بخش نهایی خروجی صراحتاً شواهدی را می‌خواهد که می‌توانند نادرستی دیدگاه اولیه را ثابت کنند. این کار دو چیز مفید را الزامی می‌کند: دیدگاه را ابطال‌پذیر می‌کند، نه صرفاً یک موضوع سلیقه‌ای؛ و به شما یک نشانه عینی می‌دهد که در آینده مراقب آن باشید، نه یک تمرین یک‌باره که ببندید و فراموشش کنید.

چرا شواهد را از استنباط جدا می‌کند

مدل‌ها — و انسان‌ها — اغلب «یک الگوی مستند» را با «حدسی که احتمالاً درست است» ترکیب می‌کنند بدون اینکه مشخص کنند کدام کدام است. یک حدس بااعتمادبه‌نفس درست به نظر می‌رسد، درست مانند یک واقعیت مستند. الزام خروجی به تفکیک سطوح اطمینان، تمرین را صادقانه نگه می‌دارد: شما می‌دانید کدام بخش‌های استدلال مخالف پشتوانهٔ واقعی دارند و کدام‌ها استنباط معقولی هستند که هنوز نیاز به آزمایش دارند.

استفاده از این پرامپت قبل از یک ارائه، یک بررسی عملکرد، یا هر تصمیمی که قرار است در مقابل کسی که اختیار «نه» گفتن دارد از آن دفاع کنید، سخت‌ترین سوال اتاق را به سوالی تبدیل می‌کند که قبلاً جوابش را داده‌اید — آرام، از پیش، با شرایط خودتان.

prompt-engineeringdecision-makinglearningcritical-thinkingsteelman
اشتراک‌گذاری: