To address these challenges, the organization deployed Scout across teams in India, Mexico, and Ireland.
Scout captured interaction data across systems and workflows to provide a clear, data-driven view of how work was actually being performed—highlighting inefficiencies, effort hotspots, and opportunities for automation and standardization.
of total effort was spent reworking incorrect submissions
of effort went into clarifying expectations with project managers through collaboration tools, often due to knowledge gaps
Scout uncovered that 6% of total effort was dedicated to manual rule checking and validations within the project management system. These checks were largely driven by fragmented Excel trackers and lacked automation support.
Teams spent 29% of total effort toggling between the project management system and Excel to validate and update project data. This highlighted inefficiencies caused by inconsistent documentation formats and disconnected tools.
Launch targeted enablement programs for project managers through structured playbooks, reference guides, and training to reduce clarification cycles.
Embed rule-based validations and standardize project trackers to streamline checks and ensure governance compliance.
Align system and spreadsheet usage through consolidated templates and eliminate duplicative updates through automation.
By implementing Scout’s data-backed recommendations, the Project Assurance team is positioned to:
Unlock ~31% effort savings across validation and rework activities
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