DesignFlow Build

DesignFlow Build

SCHEDULE RISK ANALYSIS

Construction Schedule Risk Analysis Software

Monte Carlo simulation, DCMA 14-point assessment, earned schedule, and forensic delay analysis on top of an AI-generated CPM schedule — so you know your real finish-date probability, not a single optimistic line.
A single CPM finish date hides the risk that actually determines whether you hit it. DesignFlow Build runs thousands of Monte Carlo iterations over your activity durations to produce P50/P80/P90 finish-date probabilities, scores the schedule against the DCMA 14-point quality check, tracks earned schedule, and supports forensic delay methods — all on top of a CPM schedule the AI can generate from your scope.

Monte Carlo schedule simulation

Run thousands of iterations over optimistic/likely/pessimistic activity durations to see the full distribution of possible finish dates — and which activities actually drive your risk.

  • P50 / P80 / P90 finish-date probabilities, not a single line

  • 10,000-run simulation with duration distributions

  • Risk-driver tornado: the activities moving your end date

DCMA 14-point quality assessment

Automatically score your schedule against the 14-point checklist owners and auditors use — logic gaps, leads/lags, excessive float, hard constraints, high-duration activities, invalid dates, and more.

  • Automated scoring across all 14 metrics

  • Pass/fail thresholds with the specific failing activities

  • Fix the schedule before it gets rejected, not after

Forensic delay & earned schedule

When a job slips, quantify it. DesignFlow supports windows, time-impact, and but-for analysis, tracks earned schedule (SPI-t, SV-t), and logs weather delays with contemporaneous evidence.

  • Windows, time-impact (TIA), and but-for delay methods

  • Earned schedule metrics (SPI-t, SV-t) alongside earned value

  • Weather delay tracking with a contemporaneous evidence record

An AI-generated CPM underneath

You do not need a separate scheduling tool to feed the analysis. Generate a CPM schedule from your scope, see the critical path, and compare what-if scenarios side by side.

  • AI schedule generation from project scope

  • Critical path, resource leveling, and look-ahead views

  • Side-by-side what-if scenario comparison

Frequently asked questions

Monte Carlo analysis runs your schedule thousands of times, each time sampling activity durations from a range (optimistic, most likely, pessimistic). The result is a probability distribution of finish dates — so instead of "we finish March 1," you get "there is an 80% chance of finishing by March 18 (P80)." DesignFlow Build runs this automatically and highlights the activities that drive the spread.

The Defense Contract Management Agency 14-point check is the industry-standard test for schedule quality — covering logic, leads and lags, relationship types, hard constraints, high float, negative float, high-duration activities, invalid dates, resources, missed tasks, critical path test, and the critical path length index. DesignFlow Build scores all 14 automatically and lists the activities that fail each one.

For most contractors, yes — DesignFlow Build generates and maintains the CPM schedule and runs the risk, quality, and forensic analysis in one place. Teams with an existing P6 schedule can still benefit from the Monte Carlo, DCMA, and earned-schedule analysis layered on top.

The probabilities are only as good as the duration ranges you provide, which is true of any Monte Carlo tool. DesignFlow Build helps by suggesting ranges from historical and AI estimates, surfacing the schedule-quality issues (via DCMA) that would otherwise distort the model, and letting you tighten assumptions and re-run instantly.

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Know your real finish date

Start free and go live in 2-4 weeks — no rip-and-replace, no army of consultants.