Customer story · La Grande, OR
From gut feel to a science-based paving program.
La Grande set its paving priorities the way most small cities do — on experience and perception. CYVL gave the city objective, defensible PCI across every street, moving it from perception-based to science-based pavement management.
Challenge
A paving program built on memory, not evidence.
La Grande set its paving priorities the way most small cities do — on experience and perception. It worked, until someone on council asked why one street came before another.
There was no objective record to point to, and no easy way to plan years ahead or show residents the reasoning.
What CYVL does
Living ground truth on every street.
CYVL gives La Grande an objective PCI condition score across the whole network, refreshed by regular scans so the picture stays current.
- A real pavement plan. A multi-year, worst-first capital plan built on actual conditions instead of memory.
- Council-ready in one click. Executive snapshots and shareable reports for town halls and council meetings.
- Answers in plain language. An AI assistant the team uses to prep budget questions.
The impact
Decisions the city can defend
Capital is planned on data La Grande can point to — not on whose street complained loudest.
Validated accuracy
Condition data validated to [98%] PCI accuracy against NCAT testing.
Perception replaced by proof
The city moved from perception-based to science-based pavement management, every decision tied to ground truth.
A model worth presenting
Kyle has presented the city's data-driven approach at a regional public-works conference.
From perception to proof.
La Grande now plans capital on data it can defend. Validated to [98%] PCI accuracy against NCAT testing, the data has moved the city from perception-based to science-based pavement management — every decision tied to what's actually on the ground.
“We always get the complaint: 'My road is the worst road in town.' Now I just pull up the map and say — no, it isn't.”