In Project LLC Demonstration Case Study

Construction Project Controls Analytics

Turning fragmented cost, schedule, change, RFI, and contingency data into an executive early-warning view.

Capability Demonstrated

In Project LLC developed this synthetic demonstration to show how construction organizations can consolidate project-control data, identify deteriorating projects, and communicate portfolio exposure through transparent metrics and visual reporting.

Disclosure: This is a synthetic portfolio demonstration. It does not represent actual client performance.
Portfolio BAC
$5.831B
Forecast Overrun
13.0%
Weighted CPI
0.884
Red Projects
50

Executive Project Controls Dashboard

Portfolio position and health distribution
Portfolio position and health distribution. 50 of 75 projects (67%) sit at Red status; the portfolio is forecast to finish $755.6M (13.0%) over budget at a weighted CPI of 0.884.
Weighted CPI declined from 0
Weighted CPI declined from 0.938 to 0.869 across 48 months, first breaching the 0.90 critical threshold in April 2024. SPI held near 1.00 while average forecast delay still reached 33.7 days.
Forecast overrun concentrates in Mixed-Use (16
Forecast overrun concentrates in Mixed-Use (16.3%); Heavy Civil & Infrastructure is lowest at 9.4%.
Ten projects carry the largest forecast overrun
Ten projects carry the largest forecast overrun. Of the 50 Red projects portfolio-wide, 42 are triggered primarily by CPI below 0.90.
Contingency burn ratio explains 81% of the variance in forecast overrun (r = 0
Contingency burn ratio explains 81% of the variance in forecast overrun (r = 0.901) — the strongest early-warning signal tested. RFI response time shows a moderate association with schedule delay (r = 0.517). Correlation does not establish causation.
Owner-directed changes drive the most approved cost ($42
Owner-directed changes drive the most approved cost ($42.8M); unforeseen conditions drive the most delay (700 days). A cost-only change-order review would miss the largest schedule driver.
Every discipline answers more than 70% of RFIs late, with response times clustered between 13
Every discipline answers more than 70% of RFIs late, with response times clustered between 13.9 and 15.5 days — a systemic process constraint rather than isolated underperformance.

Analytics Services Illustrated

Cost and Schedule Performance

CPI, SPI, CV, SV, EAC, VAC, forecast overrun, and completion-date variance.

Change and RFI Analytics

Cause segmentation, approval cycles, response time, backlog, and cost/schedule impact.

Portfolio Risk Classification

Transparent Green, Yellow, and Red thresholds for management attention.

Executive Reporting

Decision-focused dashboards, concise narratives, and drill-down-ready analytical data.

Important Findings in the Demonstration