Construction: weekly job-cost dashboards (labor variance, committed vs actual materials, change orders, billing vs % complete, backlog) catch margin erosion before month-end financials arrive
Created 2026-06-20
Summary
Claim: Construction: weekly job-cost dashboards covering labor-productivity variance, committed vs. actual materials, change orders, billing vs. % complete, backlog to catch margin erosion before month-end financials arrive — by which point "that bad pour, slow crew, or expensive material swap is old news."
Source: Industry practitioner consensus.
Confidence: Industry-consensus.
Why this matters for Candid: The clearest worked example of a dashboard tied to named decisions with clear thresholds — the The "what would I do if this number doubled or halved tomorrow?" test — if no action follows, it's vanity test is trivial here. For Ontario GC clients in the existing psychology cluster, weekly job-cost is the canonical internal dashboard.
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Referenced by (5)
- reference Research brief: dashboards for SMBs — what's worth showing, and when an embedded one earns its keep (June 2026) relates-to
- reference Professional services: DSO (Days Sales Outstanding) dashboards with aging buckets + at-risk-customer flags; 30-45 days is a common "good" benchmark; rising DSO is an early cash-flow warning relates-to
- reference Manufacturing internal dashboards: OEE, MTBF/MTTR, PM compliance, planned-vs-reactive ratio (world-class target ~80/20) relates-to
- reference Cross-industry internal dashboards round-up: e-commerce (conversion, inventory turns, CAC), healthcare (occupancy, readmissions), logistics (on-time, exceptions), SaaS (activation, churn, NRR), hospitality (occupancy, no-shows) relates-to
- rule R1 — Before building any dashboard, qualify every proposed metric: named owner + named decision + action threshold; if it fails the "what would I do if it moved?" test, drop it depends-on