AI Business Engineer
  • Abstract
  • AI Driven Coordination
  • Coordination Network
  • Coordination Editor
  • Methods
  • Literature Review Method
    • Finding Publications Method
    • Data Extraction Method
    • Living Publications
  • AI Business Engineer
  • Project Management Method
    • Project Overview Method
    • Meeting Minutes Method
    • Project Status Method
    • Project Status Dashboard
    • Confidence Scores
  • Results from Literature Review Method
  • Conclusion
  • Contact and Sources
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  1. Project Management Method

Project Status Dashboard

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Last updated 7 months ago

The Project Status Dashboard is created by embedding the output Node for the Status of Project A into a new Canvas, alongside the output Nodes of other projects that employ the same or similar Methods. By aggregating project statuses in a single Canvas, we leverage the power of Nodes as functional units, enabling seamless data integration into other applications and providing context for further analysis. For instance, a website can be developed where a Node serves as the monthly update, while other Nodes provide background information for an LLM chatbot to query and provide more detailed responses to user inquiries.

Centralizing project information in the Project Status Dashboard minimizes guesswork when presenting updates and reduces the need for 'backup slides' to convey essential insights. This streamlined approach enhances clarity and efficiency in communicating project progress and key findings to stakeholders.

The flexibility of the Canvas structure allows for the creation of customized dashboards tailored to specific needs and audiences. For instance, a project manager could create a Canvas that brings together the meeting minutes from all of their projects, providing a comprehensive overview of their responsibilities and progress. This Canvas could then be used as input for the AI to generate a draft of the project manager's performance review, highlighting their achievements, challenges, and areas for improvement.

Similarly, a department-level Canvas could be created to aggregate meeting minutes from all projects within the department. This high-level overview serves as a valuable resource for evaluating the department's overall methodology, identifying best practices, and uncovering trends and patterns in project performance. By querying this Canvas, the AI can help answer critical questions such as:

  1. What project management approaches have proven most effective?

  2. Which factors have contributed to the best project outcomes?

  3. How have our projects evolved over time, and what lessons can we learn from this progression?

Through the analysis of this aggregated data, the AI can generate actionable insights that inform decision-making, drive process improvements, and support the continuous optimization of project management practices across the organization.