The ForVue Blog
Plain-spoken writing on the math behind predictive maintenance — and what it means for the operators, lenders, insurers, and agencies who own the cost of failure.
What Property Insurers Should Be Asking For at Policy Inception
Most carriers underwrite multifamily off building age, claims history, and replacement cost. Nothing in the standard submission tells them what's actually about to fail. Here's the data exhibit that should change.
Read →NSPIRE and the Math It Doesn't Capture
HUD's NSPIRE inspection standard tells you what's broken today. It doesn't tell you what's about to break. For PHAs operating thousands of units, the gap between those two questions is where every budget surprise lives.
Read →How Lenders Should Read Maintenance Data
A multifamily lender sees a property's condition twice in the loan lifecycle — once at origination, once at maturity. Component-level maintenance data closes the gap, and it changes reserve sizing.
Read →Stop Finding Out About Failures From Tenants
If your maintenance program starts with a tenant phone call, you've already lost the most expensive round of the operating year. Here's the reframe — and the math behind it.
Read →Why Age-Based Maintenance Is Failing Multifamily
The lifespan chart on your wall is a population average. The portfolio you own is not average. Here's why component-level survival math beats age-based planning by roughly 70 percent.
Read →Why STR Appliances Die Twice as Fast
Long-term rental lifespan tables don't apply to short-term rentals. The usage intensity gap compresses appliance life by 40 to 60 percent — and every emergency repair becomes a revenue event.
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