Reading an asset's lifecycle

Each asset has its own Lifecycle panel — Habitia’s read on how the asset is aging, what signals it’s throwing, and when you should expect to replace it. It pulls together the install date, repair history, warranty status, and the per-category defaults from Lifecycle rules into one view.

Open any asset (from Assets in the left sidebar or a property’s Assets tab) and look at the Lifecycle section.

The 5 stages

A colored badge at the top tells you the asset’s current stage:

Stage	Color	Meaning
New	Green	Less than ~33% of expected life used. Nothing to worry about.
Mid-life	Blue	33–80% of expected life. Performing normally.
Late-life	Orange	80–100% of expected life. Start budgeting for replacement.
Beyond EOL	Red	Past expected life, or repair triggers exceeded. Plan replacement soon.
Unknown	Gray	Habitia doesn’t have enough info (no install date or expected life).

Tip: An asset can land in Beyond EOL before its age says so — the repair-cap and repeat-failure triggers from the lifecycle rules can flag a young asset that’s failing too often or too expensively.

The life-used bar

Just under the badge, a horizontal bar shows % of expected life used:

• Green below 33%
• Blue 33–80%
• Orange 80–100%
• Red 100%+ (with the % continuing past 100)

This is the age signal only — it doesn’t reflect repair history. An asset can be at 50% life used but still be in Late-life stage if it’s been failing repeatedly.

Expected replacement date

In the top-right of the lifecycle card: Habitia’s projection of when you’ll need to replace this asset. Computed from the install date + expected life (with adjustments from signals).

This is the date that feeds into the Capex forecast chart on the Dashboard and the Spending reports.

The recommendation card

A plain-language summary of what Habitia thinks you should do — repair, monitor, replace, or none. Driven by the worst-severity signal currently firing on the asset. Examples:

• “Replacement recommended — repair cost ratio at 67% and 3 failures in last 12 months.”
• “Monitor — past expected life but no recent issues.”
• “No action needed — within expected life and no signals.”

The metric cards

A grid of six tiles with the raw inputs:

• Age — years since install, with expected life in parentheses (“8.2 years / 12 years expected”).
• Warranty — active vs. expired, days remaining if active.
• Repairs — total repair count + last 12 months. Tile turns orange/red when recent activity spikes.
• Cumulative cost — total spent on repairs, as % of replacement cost.
• Last repair — date of most recent work order on this asset.
• Expected life — months (with category default if you didn’t override).

The signals list

Below the metrics, every lifecycle signal currently firing on this asset. Each has a severity (info / watch / warn / urgent), a title, a plain-English explanation, and evidence chips showing the data behind the signal.

Common signals:

• Past expected life by N months
• Repair cost ratio above the cap (X% of replacement value)
• N failures in the rolling 12-month window
• Warranty expires in N days
• No service performed in N months (when an scheduled service is tied to this asset)

The cost timeline

A bar chart of repair spend on this asset, bucketed by year. Useful for spotting the year a “fine” asset turned into a money pit.

The defaults version stamp

Bottom-right of the lifecycle section: rules v.N. Tells you which version of the system lifecycle defaults this asset is being measured against. Mostly an audit detail — not something you’ll act on.

What’s next

• Lifecycle rules — tune the per-category defaults that drive these signals.
• Spending reports — see how this single asset’s history rolls up to your portfolio.