What are Technician metrics? Identifying the optimal Technician metrics can be challenging, especially when everyday tasks consume your time. To help you, we've assembled a list of examples to ignite your creativity.
You can copy these examples into your preferred app, or alternatively, use Tability to stay accountable.
Find Technician metrics with AI While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI metrics generator below to generate your own strategies.
Examples of Technician metrics and KPIs 1. Average Triage Time The average time taken to assess and assign issues to a technician
What good looks like for this metric: 2 hours
Ideas to improve this metric Implement automated ticketing system Train staff on swift issue identification Set clear prioritisation guidelines Regularly review triage processes Maintain an up-to-date technician skillset directory 2. Percentage of Issues Triaged Within 2 Hours The proportion of issues that are assessed and routed within the two-hour goal
What good looks like for this metric: 90%
Ideas to improve this metric Utilise time-tracking software Analyse bottlenecks in the triaging process Provide incentives for fast triaging Allocate sufficient resources during peak times Conduct regular training sessions 3. First Contact Resolution Rate The percentage of issues resolved without the need for additional follow-up
What good looks like for this metric: 75%
Ideas to improve this metric Expand technician training programmes Increase accessibility of status updates Improve communication between teams Ensure access to comprehensive knowledge base Implement real-time support tools 4. Customer Satisfaction Score The average satisfaction score given by customers regarding the triage process
What good looks like for this metric: 4 out of 5
Ideas to improve this metric Gather regular feedback from customers Reduce hold and transfer times Provide clear status updates Streamline communication channels Customise support to match customer needs 5. Backlog of Untriaged Issues The number of issues that remain unresolved or unassigned past the two-hour window
What good looks like for this metric: 5 or fewer issues
Ideas to improve this metric Regular audits of untriaged issues Enhance staffing levels during peak times Integrate advanced triage software Develop a quick response task force Set up alerts for untriaged issues
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1. Load Cycle Completion Rate The percentage of steriliser load cycles that are completed without interruption or error
What good looks like for this metric: Typically above 95%
Ideas to improve this metric Ensure regular equipment maintenance Train staff on proper loading procedures Implement a checklist for pre-cycle checks Schedule regular audits of steriliser operations Use automated alerts for cycle failures 2. Cycle Documentation Accuracy Rate The percentage of steriliser cycles with complete and accurate documentation
What good looks like for this metric: 90% or higher
Ideas to improve this metric Introduce digital documentation systems Conduct regular staff training on documentation standards Implement peer reviews of documentation records Streamline the documentation process Use templates to standardise documentation 3. Chemical Indicator Compliance Rate The percentage of loads that correctly use chemical indicators according to protocol
What good looks like for this metric: 95% usage compliance
Ideas to improve this metric Ensure ample supply of chemical indicators Provide refresher training on chemical indicator usage Implement a monitoring system for indicator application Conduct regular spot checks Review procedures and update protocols regularly 4. Load Turnaround Time The average time taken from loading the steriliser to load completion
What good looks like for this metric: Less than 2 hours
Ideas to improve this metric Optimise scheduling to minimise downtime Invest in faster sterilisation technologies Review workflow for bottlenecks Provide timely maintenance to prevent delays Balance load to enhance efficiency 5. Equipment Malfunction Incident Rate The number of incidents due to equipment malfunction per 100 load cycles
What good looks like for this metric: Fewer than 5 incidents per 100 cycles
Ideas to improve this metric Conduct regular preventative maintenance checks Replace old or obsolete equipment Keep a detailed maintenance log Train operators on troubleshooting procedures Schedule regular reviews with equipment manufacturers
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1. Preventive Maintenance Compliance Ratio of completed scheduled maintenance tasks to the total scheduled maintenance tasks
What good looks like for this metric: 90% compliance rate
Ideas to improve this metric Schedule regular training for maintenance staff Implement a comprehensive CMMS (Computerized Maintenance Management System) Regularly review and update maintenance schedules Assign dedicated staff to monitor maintenance compliance Conduct regular audits to ensure maintenance completion 2. Average Repair Time The average time taken to complete repair tasks from the moment they are reported
What good looks like for this metric: 1-3 days depending on urgency
Ideas to improve this metric Streamline the repair reporting process Ensure availability of necessary repair resources Conduct regular training on efficient repair techniques Assign priority levels to repair requests Utilise a CMMS to track repair times 3. Maintenance Cost Per Square Foot Total maintenance costs divided by the facility's square footage
What good looks like for this metric: $0.50 - $2.00 per square foot annually
Ideas to improve this metric Regularly review and optimise maintenance budgets Implement energy-efficient practices to reduce costs Schedule bulk purchases for discounted rates Reduce overtime by improving workforce scheduling Invest in preventive maintenance to reduce repair costs 4. Equipment Downtime Total number of hours equipment is unavailable for use due to repairs or maintenance
What good looks like for this metric: Less than 5% of total operational time
Ideas to improve this metric Implement a routine equipment inspection schedule Train staff to detect early signs of equipment failure Maintain a spare parts inventory for quick repairs Schedule preventive maintenance during off-peak hours Utilise condition-monitoring technology 5. First-Time Fix Rate Percentage of repairs completed on the first visit or attempt
What good looks like for this metric: Over 70% first-time fix rate
Ideas to improve this metric Ensure technicians are well-trained and qualified Provide detailed guidelines for common repairs Ensure repair kits are complete and readily available Use diagnostics tools to accurately assess problems Regularly update repair documentation
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1. Fermentation Duration This measures the time period for which cacao beans are fermented, typically calculated by the number of days the beans are kept at a controlled temperature and humidity.
What good looks like for this metric: 6 to 7 days
Ideas to improve this metric Ensure an even distribution of heat during fermentation Monitor and control humidity levels diligently Turn the beans regularly to aerate Use a thermometer to achieve optimal temperature Adjust fermenting period based on observed results 2. Temperature Control This measures the consistency of temperature maintained during cacao bean fermentation, which affects the flavour and quality of the final product.
What good looks like for this metric: 45°C to 50°C
Ideas to improve this metric Install thermal insulators around the fermentation setup Use thermostatic controllers to maintain steady temperature Regularly check for hot spots inside the fermenting boxes Utilise temperature logs to detect anomalies Consider environmental impact on temperatures and adjust accordingly 3. pH Levels Monitoring the acidity levels of fermenting beans helps in assessing proper fermentation, calculated by taking pH readings at intervals.
What good looks like for this metric: 4.5 to 5.5
Ideas to improve this metric Use a reliable pH meter for accurate readings Sample beans from different sections of the fermentation mass Evaluate pH at regular intervals Adjust fermenting circumstances to reach desired pH Apply organic acids if necessary to modulate pH 4. Moisture Content The proportion of water present in the fermenting beans, affecting final texture and processing requirements.
What good looks like for this metric: 53% to 60% during fermentation
Ideas to improve this metric Weigh batch before and after fermentation to determine moisture loss Use moisture meters for precise measurements Adjust ventilation to control evaporation rate Add water incrementally if moisture drops too low Monitor climate conditions to understand moisture variation 5. Aeration Frequency Frequency with which cacao beans are stirred or turned during fermentation to increase exposure to oxygen for consistent fermentation.
What good looks like for this metric: Every 48 hours
Ideas to improve this metric Use mechanical turners for uniform aeration Implement a consistent aeration schedule Observe changes in aroma to gauge when turning is needed Document each aeration session for review Collaborate with fermented food experts
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1. Uptime Percentage The percentage of time the hardware is operational and available to the user without unplanned outages
What good looks like for this metric: 99%
Ideas to improve this metric Conduct regular maintenance checks Implement automated monitoring systems Invest in high-quality hardware components Train users on proper device handling Have immediate on-call technical support 2. Mean Time to Repair (MTTR) The average time taken to repair a hardware failure and restore functionality
What good looks like for this metric: Less than 4 hours
Ideas to improve this metric Streamline repair processes Stock essential spare parts Conduct regular technician training Utilise detailed error logging Develop a priority repair system 3. Mean Time Between Failures (MTBF) The average time interval between hardware failures
What good looks like for this metric: Over 30,000 hours
Ideas to improve this metric Use high-reliability components Ensure environmental conditions are optimal Regularly update drivers and software Perform thorough pre-deployment testing Implement predictive maintenance strategies 4. Hardware Replacement Rate The frequency at which hardware needs replacing due to failure or obsolescence
What good looks like for this metric: 0-5% annually
Ideas to improve this metric Analyse end-of-life cycles Prioritise purchasing from reputable manufacturers Develop a proactive upgrade schedule Conduct cost-benefit analysis for replacements Ensure comprehensive warranty coverage 5. User Satisfaction Score A measurement of user satisfaction regarding hardware performance and reliability
What good looks like for this metric: Above 85%
Ideas to improve this metric Gather regular user feedback Implement user-centric design improvements Ensure consistent hardware updates Offer convenient user support options Address common user complaints proactively
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1. Sterilisation Cycle Success Rate Percentage of completed sterilisation cycles that meet all protocol standards
What good looks like for this metric: 95% or higher
Ideas to improve this metric Regularly maintain and calibrate sterilisation equipment Conduct routine staff training to ensure proper procedures are followed Implement regular audits of sterilisation processes Adopt real-time monitoring systems for sterilisation equipment Establish a clear protocol for dealing with failed cycles 2. Infection Rates Post-Procedure Rate of infections related to procedures involving reusable instruments
What good looks like for this metric: Below 0.5%
Ideas to improve this metric Ensure strict adherence to sterilisation protocols Improve hand hygiene compliance among staff Regularly update the infection control policy Conduct regular staff training on infection prevention Implement a thorough post-sterilisation instrument inspection process 3. Instrument Cleaning Time Average time taken for cleaning instruments prior to sterilisation
What good looks like for this metric: 15-30 minutes
Ideas to improve this metric Streamline cleaning procedures to reduce time Ensure proper staffing levels in the cleaning area Invest in advanced cleaning equipment Regularly train staff on efficient cleaning practices Schedule regular audits of cleaning processes to identify bottlenecks 4. Equipment Downtime Total time sterilisation equipment is non-functional
What good looks like for this metric: Less than 5%
Ideas to improve this metric Implement a preventative maintenance schedule for equipment Keep a log of equipment issues to identify recurring problems Train staff in basic troubleshooting to minimise downtime Have spare parts on hand for quick repairs Choose high-quality equipment with a reliable service contract 5. Compliance With Sterilisation Protocols Rate of adherence to established protocols by staff during sterilisation procedures
What good looks like for this metric: 100%
Ideas to improve this metric Provide regular training sessions on sterilisation protocols Conduct random audits to ensure compliance Encourage a culture of safety and protocol adherence Implement a feedback system for continuous improvement Use role-play scenarios to prepare staff for protocol deviations
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1. Downtime Duration Total time the forge machine is non-operational due to unplanned issues
What good looks like for this metric: Typically less than 5% of total operational time
Ideas to improve this metric Conduct regular maintenance checks Invest in predictive maintenance tools Train staff on quick troubleshooting Establish a faster repair protocol Keep critical spare parts in stock 2. Mean Time to Repair (MTTR) Average time taken to repair the forge machine after a failure
What good looks like for this metric: Typically under 4 hours
Ideas to improve this metric Provide advanced repair training Streamline repair documentation Optimise parts retrieval processes Implement a 24/7 repair service Use diagnostic tools for accurate fixes 3. Failure Frequency Number of times the forge machine fails unexpectedly within a specific period
What good looks like for this metric: Ideally fewer than 2 times a month
Ideas to improve this metric Enhance quality control measures Upgrade machine components Perform regular performance testing Use high-quality materials for production Introduce routine inspections 4. Downtime Costs Financial impact due to unplanned downtime, including lost production time and repair expenses
What good looks like for this metric: Generally kept below $10,000 per incident
Ideas to improve this metric Budget for potential downtime Negotiate better rates with service providers Utilise insurance policies Invest in efficient repair technology Implement cost-reduction strategies 5. OEE (Overall Equipment Effectiveness) A measure that combines machine availability, performance, and quality to assess downtime impact
What good looks like for this metric: World-class is considered above 85%
Ideas to improve this metric Increase machine availability Enhance process efficiency Improve product quality standards Align production schedules Continuously monitor performance metrics
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Tracking your Technician metrics Having a plan is one thing, sticking to it is another.
Setting good strategies is only the first challenge. The hard part is to avoid distractions and make sure that you commit to the plan. A simple weekly ritual will greatly increase the chances of success.
A tool like Tability can also help you by combining AI and goal-setting to keep you on track.
More metrics recently published We have more examples to help you below.
Planning resources OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:
Tability's check-ins will save you hours and increase transparency
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