What does the Coverage Score measure?

How much of what POD can track your project has actually given it. POD reads a wide set of fields across cost, schedule, safety, quality, and billing; the Coverage Score is the proportion of those fields that your uploaded reports and documents have populated. A low score does not mean the project is in trouble, it means POD is working with partial data, so its metrics and answers cover less ground. A high score means the dashboard, the insights, and Ask POD have a full picture to work from.

Why does data completeness matter so much?

Because every downstream metric and answer is only as complete as the data behind it. A budget view with no committed cost, a schedule with no baseline, or a safety record with no hours worked each leaves a real gap, the KPI either cannot render or shows less than the full story. The Coverage Score makes that gap explicit instead of letting it hide. It is a deliberately motivating number: closing it is the fastest way to make the whole platform, its KPIs, its forecasts, and its plain-language answers, more useful.

How do you raise a Coverage Score?

By uploading the records that fill the empty fields. Adding the schedule populates the progress and schedule-performance fields; adding pay applications populates the billing and cost fields; logging daily reports populates production, manpower, and safety fields. The score rises as each source lands, which is why it works as a checklist: it points at exactly which categories are thin so you know what to add next. The goal is not a perfect score for its own sake, it is that the data POD needs to answer your real questions is present.

Construction Glossary · Construction Intelligence

CoverageScore

One number for a question every project has: is my data complete enough to trust what the dashboard says?

Definition

A Coverage Score is a measure of how complete a project’s data is: the share of the fields POD tracks that your uploaded reports, schedules, and pay applications have actually populated. It turns the vague question of whether your data is good enough into a single number, and it climbs as you add records, so the gaps are visible and worth closing.

Completeness, at a glance

The filled arc is the share of tracked fields your uploads have populated; the gap is what is still missing. Every record you add closes some of it.

What each source unlocks

Schedule (P6 / MSP)

Progress, behind-schedule activity, and the schedule-performance fields.

Pay applications

The billing and spent-cost fields that track where the money has gone.

Daily reports

Production, manpower, weather, delays, and safety counts.

Budget & commitments

Committed cost, actual cost, and the earned-value readings built on them.

A fuller score makes every KPI, POD Insights, and Ask POD more complete.

How POD scores coverage

POD computes the Coverage Score from your uploaded data: the proportion of the fields it tracks that your reports, schedules, and pay applications have populated. It rises as you add sources and points at the categories that are still thin, so it doubles as a checklist. It reflects what you have actually given POD, nothing is counted as present that was not uploaded, which is exactly why it is an honest gauge of how complete the rest of the dashboard can be.

Construction field reporting guide

Frequently asked questions

Complete data, sharper intelligence

A higher Coverage Score is not the goal in itself. It is the fuel for everything POD turns your records into.

Construction Intelligence Back to the Glossary