What Separates High-Performing Maintenance Teams

10 Habits and 8 KPIs That Separate High-Performing Maintenance Teams

Picture two maintenance teams with the same headcount, the same equipment, and the same shift schedule, but very different results a year later. One team completes PM work on time and catches a bad bearing before it fails. The other is dealing with the same motor failure for the third time. A CMMS can help close part of that gap, but the system works best when the team has consistent habits around planning, documenting, and reviewing maintenance work. The habits below are paired with eight KPIs that can help show where a team stands.

Maintenance manager and technician reviewing a KPI dashboard on a tablet in an industrial facility

10 Habits That Show Up in High-Performing Maintenance Teams

1. Preventive Maintenance Is Scheduled, Not Squeezed In

Problem: When preventive maintenance has to compete for time with every reactive repair that comes up, it often gets pushed aside. It becomes something to squeeze in “when there’s time” instead of protected work on the schedule.

Impact: PM tasks can slide week after week, increasing the amount of reactive work the team has to handle.

Fix: High-performing teams protect time for preventive maintenance and review PM compliance regularly. A preventive maintenance schedule can help the team see upcoming and overdue work before it becomes a larger backlog problem.

2. The Backlog Number Can Actually Be Trusted

Problem: A backlog count that includes work finished weeks ago but never closed out is not a useful planning number. It becomes difficult to distinguish active work from stale records.

Impact: Decisions based on an inaccurate backlog can lead to the wrong priorities, staffing decisions, and scheduling choices.

Fix: High-performing teams close work orders promptly once the required work, verification, and review are complete. Consistent work order management helps keep the backlog representative of work that still needs attention.

3. Asset History Is Reliable Enough to Act On

Problem: When equipment records are updated inconsistently, the history depends on who happened to document the last repair rather than on a consistent process.

Impact: Diagnosing repeat failures takes longer when technicians cannot be confident that the previous repair history is accurate.

Fix: High-performing teams make asset history part of the normal work process. The record does not have to be perfect, but it needs to contain enough reliable information to support maintenance decisions. Good asset management helps keep that history connected to the equipment.

4. Parts Are Checked Before Planned Work Starts

Problem: A stockout discovered during a repair can come from a planning miss, a supplier delay, a sudden demand increase, an inaccurate inventory count, or an emergency that used existing stock.

Impact: A short repair can turn into a much longer delay when the required part is not available.

Fix: High-performing teams check upcoming PM and planned repair needs against available inventory and established reorder points. That gives the team a chance to identify shortages before the technician is standing in front of the equipment.

5. Downtime Gets Logged as It Happens, Not Reconstructed Later

Problem: When downtime is estimated after the fact, the number depends on memory and incomplete records.

Impact: Downtime reduction efforts can end up focusing on the failures people remember most rather than the failures that are actually consuming the most operating time.

Fix: High-performing teams capture downtime start and stop times as close to real time as practical. Depending on the operation, that can come from technicians, production records, equipment data, or a same-day reconciliation process.

6. Repeat Failures Get a Root Cause Review, Not Just Another Patch

Problem: Fixing the immediate symptom may be the right response when equipment is down. If the same problem keeps returning, however, another repair may not address the underlying cause.

Impact: Repeat failures consume maintenance time and can reduce equipment reliability over time.

Fix: High-performing teams establish a root cause review process based on equipment criticality and the type of failure. For a critical asset, the threshold for review may be lower than it is for a less critical piece of equipment.

7. Technicians Are Trained on the Process, Not Just the Repair

Problem: New technicians are often trained on how to repair equipment but receive less guidance on how the maintenance team documents, prioritizes, and hands off work.

Impact: Work documentation and processes can vary from technician to technician when the workflow exists mostly in people’s heads.

Fix: High-performing teams train technicians on both the equipment and the team’s maintenance workflow, including the CMMS software and documentation standards.

8. Problems Surface Before the Next Scheduled Report

Problem: A monthly report is not the problem by itself. The problem is when nothing gets checked between formal reviews, allowing a developing issue to go unnoticed for weeks.

Impact: Problems may only become visible after the cost or backlog has already grown.

Fix: High-performing teams use a lightweight process for spotting important exceptions between formal KPI reviews. The review frequency can vary by the metric and the operation, but important changes should not have to wait for the next monthly report.

9. Vendor Work Gets Held to the Same Standard as Internal Work

Problem: Calling whichever contractor is available may solve an immediate problem, but without tracking the work afterward, it is difficult to evaluate whether the contractor’s work was effective.

Impact: Vendor performance can vary without the maintenance team having enough information to compare contractors or identify recurring issues.

Fix: High-performing teams track vendor response times, completion times, and repeat issues where those measures are relevant. That gives the team information to use when selecting vendors for future work.

10. Leadership Gets Accurate, Decision-Ready Maintenance Data

Problem: When maintenance information reaches leadership only through a manually prepared summary, important context can be lost or delayed.

Impact: Decisions may be based on an incomplete or outdated picture of maintenance performance.

Fix: High-performing teams give leadership access to accurate maintenance data and the KPIs that matter for their decisions. Leadership does not need every operational detail, but the information they receive should be timely and reliable.

8 KPIs That Help Measure Maintenance Performance

The habits above describe how a maintenance team operates. The following KPIs help show whether those practices are producing the expected results. No single KPI tells the whole story, so they are most useful when reviewed together and consistently over time.

  • Planned maintenance percentage – the share of total maintenance work or hours classified as planned rather than reactive. The exact definition should be consistent within your organization.
  • PM compliance rate – the percentage of PM work completed according to the organization’s documented on-time criteria. SMRP defines this measure in Best Practices metrics 5.4.10 and 5.4.14, and many teams target 90% or higher. [1]
  • Backlog age – how long open work orders have remained outstanding, rather than looking only at the total number of open work orders.
  • Mean time between failures (MTBF) – the average operating time between failures for an asset or group of assets. The calculation should use a consistent definition of failure and operating time.
  • Wrench time – the amount of a technician’s available time spent performing hands-on maintenance work. Definitions and measurement methods can vary by organization.
  • Unplanned downtime percentage – unplanned downtime measured against the operating time or scheduled production time defined by the organization.
  • Repeat failure rate – how often the same or similar failure recurs on the same or comparable assets over a defined period.
  • Inventory stockout rate – how often a required maintenance part is unavailable when it is needed. SMRP lists Stock Outs as metric 5.5.33. [1]

The value of these KPIs comes from using consistent definitions and reviewing trends over time. A change in one number can have several possible causes, so the KPI should be considered alongside the underlying work orders, asset history, inventory records, and operating conditions.

How the KPIs Connect to the 10 Habits

The KPIs do not measure every habit directly. Instead, they provide data that can help a maintenance manager see whether important practices are working as intended.

  • Scheduled PM: PM compliance and planned maintenance percentage can show whether preventive work is being completed as planned.
  • Trustworthy backlog: Backlog age helps show whether open work is being addressed or allowed to remain outstanding.
  • Reliable asset history: MTBF and repeat failure trends depend on accurate failure and work-order records.
  • Parts planning: Inventory stockout rate can help identify whether needed parts are consistently available.
  • Downtime tracking: Unplanned downtime percentage provides a way to monitor the effect of equipment failures on operations.
  • Root cause review: Repeat failure rate can help identify assets or failure modes that deserve additional investigation.
  • Technician process: Consistent documentation supports the quality of the data behind these KPIs. Wrench time can provide another operational measure, but it should not be treated as a direct measure of training quality.
  • Early problem detection: Regular KPI reviews can help surface changes between formal monthly or quarterly reports.
  • Vendor accountability: Repeat failures, response times, and completion times can be reviewed for vendor work when those records are consistently captured.
  • Leadership reporting: Consistent KPI definitions give leadership a more reliable basis for maintenance decisions.

Where a CMMS Fits Into Building These Habits

The calculations behind these KPIs are generally straightforward. The harder part is collecting the same information consistently across technicians, shifts, assets, work orders, and inventory transactions. A CMMS can reduce the manual work involved by keeping those records in one system and making the resulting information easier to review.

  • Track planned and reactive work using consistent work order classifications.
  • Monitor PM work, overdue tasks, and work order aging.
  • Review asset history to support MTBF and repeat-failure analysis when failure and operating-time information is recorded consistently.
  • Track inventory levels and identify parts that are unavailable or approaching established reorder points.

The system does not replace the habits. Accurate KPIs still depend on technicians and maintenance staff entering complete, consistent information. Good data practices are what make the reports useful.

Frequently Asked Questions

What KPIs indicate a high-performing maintenance team?
No single KPI determines whether a team is high-performing. Planned maintenance percentage, PM compliance, backlog age, MTBF, wrench time, unplanned downtime, repeat failure rate, and inventory stockout rate can provide a broader view when they are tracked consistently.

What is a good PM compliance rate?
Many maintenance teams target 90% or higher. SMRP defines PM compliance in its Best Practices metrics 5.4.10 and 5.4.14. The appropriate target for a specific team can depend on its assets, operating environment, staffing, and the organization’s definition of compliance.

What is planned maintenance percentage?
Planned maintenance percentage measures the share of maintenance work or maintenance hours that are planned rather than reactive. Because organizations can define planned work differently, the important part is using the same definition consistently when comparing results over time.

How do you calculate MTBF?
MTBF is generally calculated by dividing operating time by the number of failures during that operating period. The team should define what counts as a failure and what operating time is included before comparing MTBF results.

How often should maintenance KPIs be reviewed?
The right frequency depends on the KPI and the operation. Some measures may be worth monitoring continuously or weekly, while others may be reviewed monthly or quarterly. Important changes should be investigated rather than waiting for a scheduled report.

Janet Jaquis
Janet Jaquis Marketing Director | CMMS Software Specialist

Janet Jaquis is a CMMS software specialist with over 8 years at eWorkOrders, where she develops educational content, technical guides, whitepapers, and implementation resources for maintenance management professionals. Her work covers preventive maintenance, work order management, asset reliability, inventory and spare parts, mobile maintenance, and CMMS implementation across manufacturing, healthcare, government, food and beverage, and facilities operations. Janet's content is grounded in customer testimonials, case studies, industry research, and ongoing engagement with the eWorkOrders product team and customer base. Prior to eWorkOrders, she spent her career at AT&T in enterprise technology, working on the development and launch of AT&T WorldNet — one of the first major commercial internet services — and serving as Product Marketing Manager for AT&T WorldNet and AT&T Satellite Services. She holds a degree in Marketing and previously held PMP (Project Management Professional) certification.

Book A Demo Click to Call Now