Doc Co-Authoring Workflow vs Data Journalism

Doc Co-Authoring Workflow

By Anthropic

A structured process to write great documentation, proposals, and specs with AI.

Data Journalism

By James Anditis (Journalism)

Turn datasets into stories with cleaning, analysis, and visualization workflows.

Doc Co-Authoring Workflow

• Asks clarifying questions to gather all the context you have about the project or decision
• Helps you build each section by brainstorming options, then refining what you keep
• Tests your finished document with a fresh AI (no prior context) to find confusing parts
• Pulls in context from Slack, Google Drive, or other tools if you have them connected
• Creates a structured scaffold for your document type with all the right sections

Data Journalism

• Cleans messy datasets by standardizing formats, handling missing values, and flagging duplicates
• Guides you through the full data journalism process from hypothesis to publication
• Provides templates for methodology documentation and story structure
• Connects you to major public data sources like Census Bureau, BLS, FDA, and state portals
• Handles common data problems like inconsistent dates, outliers, and similar names

Reach for Doc Co-Authoring Workflow when…

• You're writing a product spec, proposal, or decision doc and want it to be clear
• You have a lot of context in your head but need help organizing it into a document
• You want to make sure your document works for readers who don't have your background
• You're starting a substantial writing task and want a structured process instead of a blank page

Reach for Data Journalism when…

• You're building a story from public datasets and need to verify your findings
• You have messy data with inconsistent formatting and missing values
• You need to explain your methodology clearly to readers
• You're looking for reliable data sources for research or reporting