Construction Project Management dashboard in USA : 7 Views That Matter

A Construction Power BI project management dashboard is easy to build badly. Most construction versions we are asked to review have twenty visuals, look impressive in a board pack and change no decisions. Proxsoft Global builds these for U.S. contractors, and the ones that get used share the same seven views.

Before you build anything

Construction Power BI project management dashboard is only as honest as the definitions behind it. Settle these first, in writing, or your dashboard will be argued with instead of used: 

Does committed cost include pending change orders, or only executed ones? 

Is cost to date accrued or posted? A dashboard on posted cost will always look better than reality mid-month. 

Is percent complete cost-based, units-based, or the PM’s judgment? Pick one per job type and label it. 

What is the refresh cadence, and is that displayed on the page? A stale dashboard nobody can date is worse than no dashboard. 

View 1: Portfolio health 

The landing page of any Construction Project Management dashboard should answer one question in three seconds: which jobs need attention? A table of every active job with contract value, cost to date, forecast at completion, projected margin and margin movement since last period, conditionally formatted so the problems find you. 
Sort by margin movement, not by size. A $2M job losing four points matters more than a $40M job holding steady.

View 2: Job cost detail with drill-through 

One job, by phase and cost code: budget, committed, cost to date, forecast, variance. Drill through from the portfolio view so a PM never has to search for their job. Then drill again to transaction level, because the first question after any variance is always which invoice caused it.

View 3: Earned value

Cost performance index and schedule performance index, trended by period rather than shown as a single number. A CPI of 0.97 means little. A CPI that has moved from 1.02 to 0.97 over three periods is a conversation. This is the view that makes a Construction Power BI project management dashboard predictive rather than historical.

View 4: Labor productivity

Actual units per hour against estimated units per hour, by cost code and crew. For self-perform work this is where margin is genuinely won or lost, and it is the view most contractors are missing because it needs payroll and quantity data joined to job cost. 

Hours by cost code, actual versus budget 
Units installed per hour against the estimate 
Trend by week, so a slipping crew shows up before the month closes 
Overtime percentage by job, which is usually the earliest warning of schedule trouble 

View 5: Change order pipeline

Change orders by status: draft, submitted, approved, rejected, with aging on each. Unapproved change orders are unbilled work being performed at your risk. Show the total exposure in dollars and the oldest item in days. Contractors who add this single view to their Power BI Construction project management dashboard usually find more money than the whole project cost.

View 6: Cash and billing

Billed to date against cost to date, over and under billing by job, retainage held, and aged receivables. This is the view that connects project performance to cash, and it is the reason a CFO will keep the dashboard open. 

View 7: Schedule

The hardest view to build well, because schedule data usually lives in P6 or MS Project rather than the ERP. Milestone status, activities behind, and float consumed. If integrating the scheduler is not feasible yet, a manually maintained milestone table is better than leaving schedule out of the dashboard entirely.

How to build it without it becoming a project 

Build views 1 and 2 first, against real data, and release them. Two working views beat seven half-built ones. 

Model the data properly: a date table, a job dimension, a cost code dimension, and fact tables for cost, billing and payroll. Do not report directly off ERP tables. 

Use import mode with an overnight refresh unless someone can articulate why live data changes a decision. 

Put the last refresh time on every page. 

Watch usage metrics after 30 days. Delete any view nobody opened, and ask why. 

Frequently Asked Questions

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top