InsightsHub AI Chat

InsightsHub AI Chat is the central intelligence layer for your research repository. Unlike standard AI models that scrape the public internet, this AI only knows what you have taught it. It acts as your institution’s research memory, allowing you to ask complex questions and receive answers based strictly on your uploaded studies, reports, and data.

The primary goal of this tool is to support evidence-based inquiry. It eliminates the "Data Gophering Time Sink" by instantly surfacing relevant data from across all your repositories.

You can engage with your research data using natural language. Follow these steps to start a conversation:

• Log in to your QuestionPro account and navigate to InsightsHub.
• On the homepage, locate the AI Chat interface.
• Enter your research question or prompt in the text box. For example: "What are the main takeaways and key statistics from the customer feedback on MediHerb?"
• Click the Send icon to generate a response.
• The AI will instantly scan your repository to provide a summarized answer based on existing documents.

Transparency is a core pillar of InsightsHub AI. Every response is designed to be traceable to ensure it is unacceptable to have "opaque models" in academic and professional settings.

• Every AI-generated response includes direct links to the source files within your repository.
• Click on the source citations provided in the chat to open the original document.
• This allows you to verify facts instantly and trace any insight back to the specific study or participant feedback it originated from.

If the AI cannot find an answer, it is a signal that the information does not exist in your current repository, not a failure of the tool.

If no answer is returned, you can:

• Upload additional research: Add more PDF, Word, or Excel files to your repository to expand the AI knowledge base.
• Commission new studies: Identify the knowledge gap and run new surveys to collect the missing data.
• Rephrase your query: Try using different keywords or being more specific about the study period or department.

No, InsightsHub AI does not use external scraping. It only answers using the data and documents available in your specific repository.

The model is restricted to a closed-loop system. If the information is not in your documents, the AI will inform you it cannot find the data rather than making up a response.

Yes, the AI is designed for cross-study insight linking and thematic tagging, allowing you to see patterns across multiple projects and years of research.