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Analytics

Kanoa Maintenance includes built-in KPI to provide a complete view of maintenance performance:

  • MTTA → How fast work is acknowledged
  • MTTR → How fast work is completed
  • MTBF → How reliable assets are
  • Backlog Aging → How healthy the backlog is
  • Work Order Flow → Whether workload is increasing or decreasing
  • Labor Hours → Where technician and procedure time is actually going

Together, they enable teams to move from reactive maintenance to data-driven, proactive operations.

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MTTA (Mean Time to Acknowledge)​

Created → First Response

MTTA reflects the responsiveness of the maintenance team and how quickly work begins after being requested.

Use MTTA to :

  • Evaluate dispatching efficiency
  • Identify delays in work assignment
  • Ensure critical work is acknowledged quickly

MTTR (Mean Time to Repair)​

Measures how long it takes to complete a work order once work has started.

Start → Completed

MTTR reflects execution efficiency and how quickly maintenance issues are resolved.

Use MTTR to:

  • Identify slow or complex repairs
  • Monitor technician performance
  • Detect process inefficiencies or bottlenecks

MTBF (Mean Time Between Failures)​

Measures the average time between failure events for an asset. MTBF is a key indicator of asset reliability and operational stability.

Use MTBF to:

  • Identify unreliable equipment
  • Prioritize maintenance improvements
  • Track effectiveness of preventive maintenance

Schedule Compliance​

Measures how consistently maintenance work is completed on or before its scheduled due date.

Schedule Compliance (%) = Work Orders Completed On Time / Total Work Orders Completed

Labor Hours​

Labor Hours brings the technician time logged via Technician & Labor Tracking into the Analytics dashboard, alongside procedure step time and how long work orders actually spend open:

  • Technician Hours → total time technicians logged against work order events
  • Procedure Step Hours → total time logged completing procedure steps
  • Total Labor Hours → Technician Hours + Procedure Step Hours
  • Avg Time Active → average time work orders spent in the 'In Progress' status
  • Avg Time To Complete → average time from creation to completion
Total Labor Hours = Technician Hours + Procedure Step Hours

Technician Hours and Procedure Step Hours are reported separately from Avg Time Active / Avg Time To Complete rather than combined - one measures labor actually logged, the other measures wall-clock elapsed time, and a work order can accrue plenty of one without much of the other.

Use Labor Hours to:

  • See how much of total maintenance time is hands-on technician work versus procedure execution
  • Compare logged labor against elapsed time to spot work orders that sit open without much work happening
  • Benchmark labor investment across a date range or asset scope

Labor Hours by Technician​

A bar chart of the top 10 technicians by hours logged in the selected period.

Use this to:

  • See workload distribution across the maintenance team
  • Identify technicians carrying a disproportionate share of the work
  • Support staffing and scheduling decisions

Maintenance Work Order Hours​

A record-level table listing every work order with logged technician or procedure time in the period, so the summary KPIs above can be traced back to individual work orders:

Work Order, Title, Asset, Technicians (distinct people logged), Technician Hrs, Procedure Step Hrs, Total Duration (hrs), Active Duration (hrs)

Use this table to drill into a specific work order behind an unusual Labor Hours number, or to export detail for a date range.

Work Order Flow​

The Work Order Flow chart tracks maintenance activity over time, showing:

  • Created work orders
  • Completed work orders
  • Open work orders (backlog)

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This helps determine whether maintenance operations are keeping up with demand.

Interpretation:
Created > Completed → backlog is growing
Completed > Created → backlog is shrinking

Backlog Aging​

Backlog Aging shows how long open work orders have been active, grouped into time-based buckets:

0–7 days 8–30 days 31–60 days 60+ days

This provides visibility into backlog health and highlights work that may be delayed or neglected.

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Use Backlog Aging to:

  • Identify stale or overdue work
  • Monitor workload distribution
  • Detect capacity or prioritization issues

Backlog Aging (Stacked)​

Backlog Aging can be further segmented by:

  • Maintenance Type (e.g., Preventive, Reactive)
  • Priority (e.g., Low, Medium, High, Critical)

This stacked view helps answer What type of work is aging?

Use this to:

  • Identify whether preventive work is being deferred
  • Detect buildup of reactive maintenance
  • Highlight aging high-priority work

MTTR / MTTA Trend​

Displays MTTR and MTTA over time to visualize trends in response and repair performance.

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This helps identify:

  • Performance spikes or anomalies
  • Periods of delayed response or repair
  • Trends in operational efficiency

Workflow Churn​

Workflow Churn tracks how often work orders transition between states (e.g., Open → In Progress → Open).

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High churn may indicate:

  • Rework
  • Poor planning or unclear requirements
  • Frequent interruptions or reassignment

MTBF by Asset​

Displays Mean Time Between Failures for each asset.

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This helps identify:

  • Assets with frequent failures
  • Reliability issues
  • Candidates for maintenance improvement or replacement