Forestrees

Topic cluster · Field data

The data captured in the field is the data the register believes

Field data design is the lever with the biggest influence on register quality. This cluster pulls together the writing on what to capture, how to phrase it honestly, and how it should flow back to the record.

What this cluster covers

Field data is the upstream supply line for almost everything a tree program does. If the data captured in the field is structured, honest, and connected to the right destinations on the record, the rest of the system works. If it is unstructured, padded with unused fields, or trapped in PDFs, the register will drift no matter how good the inspection cadence is.

The articles in this cluster cover the design choices that make field data actually useful — what to capture, how to phrase it, and how to make sure each field has somewhere meaningful to land.

The recurring discipline

Every field on an inspection form should map to a destination on the record. If a field has no destination — no place where it updates the asset, triggers a work order, changes a risk rating, or feeds a report — it is filler. Fields that look comprehensive but are never used downstream slow inspections, dilute attention and quietly normalise low-value data collection.

The other discipline that shows up across this cluster is honesty in language. Tree records do not monitor real-time biological health. They maintain latest known condition. Naming the data correctly is part of making it defensible.

Core topic page

Read the core topic: Tree inspection software

The core inspection topic covers what tree inspection software should do — field capture, offline behaviour, photos and GPS, risk ratings, and the connection to work orders and the asset record.

Open topic

Field data that updates the record

Forestrees publishes practical resources on inspection form design, field capture, evidence standards and the language that keeps tree records honest.