Structured Output
Skill 3: Get deliverables, not just chat responses
What Most People Do
Ask a question, copy-paste the text response into a doc or email, format it manually.
What You Can Do Instead
Ask for the output format directly:
- “Build this as a slide deck”
- “Format as a Word doc with headers”
- “Give me a CSV I can import”
- “Create a chart of this data”
Then list all of the components in as much detail as possible.
What Each Tool Can Generate
Claude
PPTX, DOCX, PDF, XLSX, HTML, React apps
ChatGPT
Canvas, Code Interpreter charts, DOCX, PDF
Copilot
Native Office file generation (Word, Excel, PowerPoint)
NotebookLM
Audio overviews, written responses, study guides
Tool Comparison
Pick by workflow, not by brand.
| Capability | Claude | ChatGPT | Copilot | NotebookLM |
|---|---|---|---|---|
| File upload & analysis | Excellent | Excellent | Good (M365) | Excellent |
| Knowledge base | Projects | Custom GPTs | SharePoint index | Notebooks (50 sources) |
| Generate files | MS Office, PDF, other | MS Office, PDF, other | Native Office | Audio / Written |
| Team sharing | Projects | GPT Store | Org-wide | Shared notebooks |
| Best for | Deep analysis + structured output | Broad tasks + code execution | M365 workflows + existing docs | Research + cross-referencing |
These are complementary, not competing. Many teams use 2-3 of these for different workflows.
Key Takeaway
- ✓Ask for the format, not just the answer - “Build this as a slide deck” instead of copy-pasting chat text
- ✓Describe every component - the more detail you give about the output structure, the closer you get to a finished deliverable
- ✓Match the tool to the workflow - Copilot for Office-native output, Claude for complex analysis, ChatGPT for code/charts, NotebookLM for research synthesis