Midway through an agile-hybrid initiative to develop a customer-facing mobile app, the project manager notices planned story points are not matching actual velocity. Before the upcoming steering-committee review, she compiles sprint burndown charts, earned value metrics, and defect density data for analysis. What is her PRIMARY purpose for collecting and analyzing these data?
To facilitate communication within the project team
Analyzing quantitative performance information helps the project manager understand whether the initiative is on track and which corrective or preventive actions are necessary. By turning raw metrics into actionable insights-such as variance, forecast trends, and root-cause indicators-she can decide which backlog adjustments, resource reallocations, or risk responses to propose. While the same data are reused for status reports, stakeholder communication, and lessons-learned repositories, these uses are secondary by-products; the primary benefit is enabling fact-based decision-making that protects business value.
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