COORDINATION & QA

Data Checker.

Author a data-quality rule set for the project then check the whole model: missing parameters, naming that breaks the standard, values outside range — with a counted list of every deviation.

01 · THE PROBLEM

Data quality only surfaces at quantity take-off, or when the reviewer sends the package back. Until then nobody knows what the model is missing, because the criteria live nowhere.

1–2 d

Manual review before every issue

Filter a schedule, export to Excel, scan for blank cells — and start over every time the model changes.

n

Everyone checks against a different standard

With no shared home for the rules, each engineer checks from memory and results are not comparable run to run.

02 · FEATURES

What it does

The whole job in one window, without opening another application.

A

Author rules

  • Rule builder over category, parameter, operator and target value
  • Two parallel modes: a local rule set and a cloud-synced rule set
  • Group rules by discipline or stage to toggle them in batches
B

Run the check

  • Run on the whole model, the active view or a selection
  • Results grouped by rule with counts and the offending elements
  • Click a row: select and zoom to the element inside Revit
  • Export a report to attach to the issue package
TOOL INTERFACE · RUNNING IN REVIT

Operational interface and functional overview

The interface is matched to the tool window running in Revit.

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