Skip to main content

Getting Started FAQs

FAQs from our customers as they're getting started in Narratize.

Updated over 2 months ago

Q: What is a Product Knowledge Hub?

A: A Product Knowledge Hub is your team's centralized repository for all product-related documentation, insights, and expertise. It uses AI to automatically organize, tag, and make your knowledge searchable, enabling you to query information naturally and generate new documents based on your existing knowledge.

Q: How do I create a private Knowledge Hub?

A: You can create unlimited Personal Hubs. From your My Hubs Command Center, click "Add Product Hub" and follow these steps:

  1. Name your hub (common titles include project names, product names or research topics)

  2. Add a description to ensure Narratize understand its purpose

  3. Start uploading your first documents

Q: How do I create a team Knowledge Hub?

A: Team Hubs are established by your organization admins. If you’d like to add a team hub, contact your organization admin or request another Hub via the support messenger panel in-app. Your Narratize CSM will then escalate your request to your organization admin and keep you informed of the decision.

Q: What types of files can I upload to my hub?

A: Narratize supports multiple file formats:

  • Documents: PDF, Word (.docx), PowerPoint (.pptx), .txt

  • Coming soon:

    • Structured data files:, .csv, Excel (.xlsx)

    • Images: .jpg, .png, .gif

    • Audio: .mp3, .wav

    • Video: .mp4, .mov

    • Web content: URL snapshots for point-in-time capture

Q: Is there a limit to how many documents I can upload?

A: The document limit depends on your subscription plan. Most enterprise plans allow unlimited documents in each hub. Contact support if you need to discuss enterprise-scale uploads and auto-import options.

Q: How do I know which documents to upload first?

A: Start with these essential uploads:

  • Recent meeting notes and strategy documents

  • Product specifications or requirements

  • Market research or competitive analysis

  • Testing data or performance studies

  • Any frequently referenced documentation

  • See this article for more specific suggestions based on your role.

Did this answer your question?