Use ChatGPT Plus to Analyze Large Project Documents

1. Go to {{tool:ChatGPT.url}} and log in
2. Click Upgrade to Plus in the bottom left sidebar
3. Complete the subscription setup
4. After subscribing, you'll see a model selector at the top of any new chat — select {{tool:ChatGPT.model:reasoning}} for document analysis tasks

What you should see: A "Plus" badge next to your name in the sidebar, and a model dropdown at the top of the chat interface.

Start a new chat. Look for the paperclip icon (📎) in the message input bar. Click it and upload your document.

Supported formats:

• PDF — best for contracts, SOWs, formal project plans
• Word (.docx) — best for requirements, plans, templates
• Plain text (.txt) — good for large exports from PM tools
• Excel (.xlsx) — budget files, trackers

What you should see: The file name appears above your message input field, confirming the upload was successful. You can now type your question.

Troubleshooting: If the file is too large (over 25MB), try breaking it into sections or converting to PDF with compression. For very long documents (100+ pages), start with the most critical section and tell ChatGPT what page range to focus on.

After uploading, type your first request. Good starting questions:

For inheriting a project mid-stream: "I'm taking over this project. Summarize: (1) what the project is trying to accomplish, (2) the current status or phase, (3) the 5 biggest risks or open issues, (4) the key decisions that need to be made."

For reviewing a contract or SOW: "Identify: (1) the scope of work in plain language, (2) deliverables with due dates, (3) payment terms, (4) any clauses that could create problems for the delivery team, (5) what's out of scope."

For analyzing requirements: "List all functional requirements in this document. Flag any that are ambiguous, missing acceptance criteria, or potentially conflicting with other requirements."

What you should see: A structured response addressing each numbered item, drawing directly from the document. ChatGPT will quote relevant sections when relevant.

You don't have to ask everything upfront. The document stays loaded for your entire conversation. Ask follow-up questions as they arise:

• "You mentioned the data migration timeline is unclear. Which section was that in?"
• "Are there any dependencies on the third-party vendor that could affect our timeline?"
• "Draft an executive summary of this project based on the document."
• "What questions should I ask the project sponsor before committing to this timeline?"

For documents with data scattered throughout (RFP responses, project plans with milestones buried in paragraphs):

"Extract all milestone dates from this document and format them as a table with columns: Milestone Name, Due Date, Owner (if mentioned), Dependencies."

Or: "Find every budget figure mentioned in this document and list them with the section they appeared in."

What you should see: A clean table or list pulling out exactly the data you requested, formatted for easy copying into Excel or your PM tool.

Troubleshooting: If ChatGPT seems to miss information, ask: "Are you reading the full document or just a portion of it?" If it's only reading part, tell it: "Read the full document before answering." For very long documents, tell it what section your question relates to.