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INSTRUCTION PROMPT:
"Write a value proposition for my AI analytics tool"
SOCRATIC PROMPT:
"What makes a value proposition compelling to B2B buyers? What emotional and logical triggers should it hit? Now apply that framework to an AI analytics tool."
The AI thinks first, then writes.
Output is 10x better.
INSTRUCTION:
"Create a content calendar for LinkedIn"
SOCRATIC:
"What types of LinkedIn content generate the most engagement in B2B SaaS? What posting frequency avoids audience fatigue? How should topics build on each other? Now design a 30-day calendar using these principles."
Structure your Socratic prompts in 3 parts:
PART 1: Theoretical Question
"What makes [output type] effective?"
PART 2: Framework Question
"What principles or frameworks apply here?"
PART 3: Application Question
"Now apply those insights to [your specific task]"
Say:
"What patterns in customer feedback indicate product-market fit issues? What quantitative and qualitative signals matter most? Now analyze this data through that lens and tell me what's breaking."
The AI becomes a strategic analyst, not a data summarizer.
For complex problems, stack questions:
"What would a top growth marketer ask before building a funnel? What data would they need? What assumptions would they validate first? Now answer those questions for my SaaS product, then design the funnel."
You're programming the AI's thinking process.
