Phase 4: Research, Analysis & Decision-Making · 30 min · ChatGPT, Claude, or Gemini (any)
Summarizing & Extracting Structured Info
Don't ask 'what's in this document?' Ask 'extract these specific fields in this format.'
Hiring signal: What changes when you use this: you can turn a 30-page document into a structured table of exactly what you need in 2 minutes — the foundation of every research workflow.
What you will learn
- Use targeted extraction prompts to pull specific fields from documents
- Format extracted information as tables, lists, or structured outputs
- Summarize for a specific audience and purpose, not generically
- Chain extraction prompts for multi-layer analysis
The Problem
When most people use AI to process documents, they ask "summarize this." That gives you a generic summary — which is rarely what you actually need. You don't need a summary. You need specific information, structured in a way you can use.
The shift from "summarize" to "extract these specific things in this format" is the single biggest improvement you can make to document processing.
Targeted Extraction
Instead of "summarize this document," tell the AI exactly what to pull:
Bad:
Summarize this market research report
Good:
Extract the following from this market research report:
- Market size (current and projected growth rate)
- Top 3 competitors and their market share
- Key customer pain points mentioned
- Regulatory barriers listed
- Any data about pricing in this market
Format as a table with columns: Item | Finding | Source Page | Confidence (High/Medium/Low)
The AI will scan the document for exactly those things and present them in a table. You get what you need in a format you can act on — not a paragraph of generic summary.
Unlock the full lesson
You've read the first 2 sections. The rest of this lesson covers Structured Summaries, Chaining Extractions, Your Practice Rep — plus a hands-on lab, quiz, and project artifact.
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