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Multi-Study Analysis: How to Use Panoplai to Analyze Multiple Data Sources at Once

Need to synthesize learning across projects? With Multi-Study Analysis, you can combine multiple datasets—both structured and unstructured—into a single AI-powered conversation. Whether you’re layering qual over quant, comparing studies, or building a strategic narrative across initiatives, Panoplai lets you do it in one place, without stitching insights manually.

What Is Multi-Study Analysis?

Multi-Study Analysis allows you to:

  • Chat with and analyze data across multiple surveys or files

  • Combine both structured data (like spreadsheets) and unstructured files (like transcripts, briefs, reports) to extend the life of your data and draw conclusions across diverse sources of data.

  • Ask follow-up questions and providing AI with all of the context available to make solid predictions. 

It’s like bringing your entire research archive into one intelligent, searchable thread.

 

How to Start a Multi-Study Conversation

  1. From your Dashboard, click Chat with Data.

  2. Click Create New.

  3. Name your conversation—choose something descriptive to make it easy to revisit later.

  4. Select the studies and files you want to include in the chat. 

  5. Click Submit.

Once submitted, your conversation will begin processing.

 

Processing time varies depending on the number and size of files selected. You’ll see a green “Ready” icon when the conversation is available.

Where to Find Your Conversation

  • Return to Chat with Data from the dashboard.

    • Single-Study/Segment: for chats built from just one file or dataset.

    • Multi-Study: for chats created with two or more files/studies.

      Your saved conversations will appear under one of two tabs:

Note: Conversations built directly within the AI Conversations tab on a single study will automatically appear under Single-Study/Segment, but you can find them under AI Conversations in the specific study as well. .