What are Performance Analyst metrics? Developing an effective Performance Analyst metrics can be intimidating, especially when your daily duties demand your attention. To assist you, we've curated a list of examples to inspire your planning process.
Feel free to copy these examples into your favorite application, or leverage Tability to maintain accountability.
Find Performance Analyst 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 Performance Analyst metrics and KPIs 1. Total Ascents The total number of ascents completed by a climber over a specific period
What good looks like for this metric: Varies by experience, typically 5-10 ascents per session
Ideas to improve this metric Increase climbing frequency Incorporate strength training Join climbing groups and communities Set specific climbing goals Vary climbing locations 2. Total Vertical Metres The sum of vertical distance climbed over a given time period
What good looks like for this metric: 500-1000 meters per month for active climbers
Ideas to improve this metric Focus on endurance training Increase climbing intensity Track vertical progress consistently Progressively increase climbing height Incorporate interval training 3. Grade of Climbs The difficulty level of the routes attempted
What good looks like for this metric: Grades vary widely; aim for steady improvement
Ideas to improve this metric Start with manageable grades Regularly attempt new challenges Solicit advice from experienced climbers Work on technique refinement Strengthen problem-solving skills 4. Climbing Sessions Frequency The number of climbing sessions per week or month
What good looks like for this metric: 2-4 sessions per week
Ideas to improve this metric Schedule regular climbing days Find climbing partners Join a climbing gym Track session consistency Adjust sessions based on recovery 5. Injury Rate Frequency of injuries related to climbing activities
What good looks like for this metric: Aim for zero injuries
Ideas to improve this metric Focus on warm-up routines Improve climbing technique Use proper safety equipment Listen to your body’s signals Incorporate rest and recovery periods
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1. Migration Completion Rate The percentage of iOS devices successfully migrated to Microsoft Intune
What good looks like for this metric: 90-95%
Ideas to improve this metric Develop a detailed migration plan Conduct pilot testing before full rollout Ensure adequate training for IT staff Engage in continuous monitoring and feedback Allocate sufficient resources for the project 2. Post-Migration Device Performance Measure the performance of devices post-migration, focusing on speed and application responsiveness
What good looks like for this metric: Performance increase of 10-20%
Ideas to improve this metric Optimize device settings during migration Update applications to the latest versions Conduct regular performance assessments Encourage employee feedback for improvements Monitor and address any reported issues promptly 3. Security Incident Reduction Track the number of security incidents after migration compared to before
What good looks like for this metric: Reduction of incidents by 30%
Ideas to improve this metric Enhance device security configurations Educate users about security best practices Implement regular security audits Continuous monitoring for any anomalies Use threat intelligence platforms 4. User Satisfaction Score Survey scores from users regarding their satisfaction with the new system
What good looks like for this metric: 70% satisfaction rate
Ideas to improve this metric Conduct user training sessions Offer a user-friendly interface Provide efficient troubleshooting support Incorporate user feedback into improvements Continuously update support materials 5. Network Access Success Rate The percentage of successful network access attempts post-migration
What good looks like for this metric: Above 95%
Ideas to improve this metric Ensure seamless network integration Update network policies for Intune compatibility Test network access at regular intervals Implement redundancy measures Provide support for network connectivity issues
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1. Revenue Growth Rate Measures the increase in a company’s sales from one period to the next, indicative of business expansion
What good looks like for this metric: 5-10% per year
Ideas to improve this metric Expand customer base Introduce new products Enhance marketing efforts Improve customer service Increase sales of existing products 2. Profit Margin Represents the percentage of revenue that exceeds the total costs, showing how efficiently a company is running
What good looks like for this metric: 10-20% for most industries
Ideas to improve this metric Reduce cost of goods sold Negotiate better supplier rates Increase product pricing Streamline operations Decrease overhead costs 3. Return on Investment (ROI) Calculates the return on a particular investment relative to its cost, indicating profitability
What good looks like for this metric: 15-25% annually
Ideas to improve this metric Analyse investment effectiveness Reallocate resources to high ROI projects Increase efficiency in production Optimise marketing strategies Focus on high-return opportunities 4. Employee Productivity Measures the output per employee and how effectively labour is utilised
What good looks like for this metric: Varies by industry and business model
Ideas to improve this metric Provide regular training Incentivise high performance Implement productivity tools Encourage work-life balance Set clear goals and expectations 5. Customer Satisfaction Score Assesses customer satisfaction using surveys and feedback, impacting future revenue and retention
What good looks like for this metric: 70-80% positive feedback
Ideas to improve this metric Improve product quality Enhance customer service Seek regular customer feedback Implement suggestions quickly Tailor products/services to customer needs
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1. User Satisfaction Score Measures overall satisfaction of users with the design through surveys and feedback.
What good looks like for this metric: Average score of 75%
Ideas to improve this metric Gather regular user feedback Implement a user-centred design approach Conduct usability testing Iteratively refine designs based on user input Ensure consistent design standards 2. Task Success Rate Percentage of users able to complete tasks without issues in the design.
What good looks like for this metric: 80% completion rate
Ideas to improve this metric Simplify navigation paths Provide clear instructions Ensure responsive design Identify and fix usability issues Use tools to track task completion 3. Time on Task Average time users take to complete specific tasks using the design.
What good looks like for this metric: Depends on task complexity
Ideas to improve this metric Analyse task flows for efficiency Reduce unnecessary steps Provide shortcuts for frequent actions Test design with diverse user groups Enhance layout clarity and intuitiveness 4. Design Consistency Score Evaluates how consistently the design elements are applied across the interface.
What good looks like for this metric: 90% consistency level
Ideas to improve this metric Establish design guidelines Conduct regular design audits Use style guides and templates Train team on design standards Promote a culture of consistency 5. Feedback Implementation Rate Ratio of user feedback items successfully implemented into design improvements.
What good looks like for this metric: 70% implementation rate
Ideas to improve this metric Track all user feedback Prioritise feedback based on impact Implement feedback in agile cycles Engage users for feedback validation Communicate feedback impacts to users
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1. Data Processing Throughput Measures the amount of data processed successfully within a given time frame, typically in gigabytes per second (GB/s)
What good looks like for this metric: Varies by system but often >1 GB/s for high-performing systems
Ideas to improve this metric Increase hardware capabilities Optimise software algorithms Implement data compression techniques Use parallel processing Upgrade network infrastructure 2. Latency Time taken from input to desired data processing action, measured in milliseconds (ms)
What good looks like for this metric: <100 ms for high-performing systems
Ideas to improve this metric Enhance server response time Minimise data travel distance Optimise application code Utilise content delivery networks Implement load balancers 3. Error Rate Percentage of errors during data processing compared to total operations, measured as a %
What good looks like for this metric: <5% for acceptable performance
Ideas to improve this metric Implement error-handling codes Train systems with more robust datasets Regularly update software Conduct thorough system testing Improve data input validity checks 4. Disk I/O Rate Measures read and write operations per second on storage devices, expressed in IOPS (input/output operations per second)
What good looks like for this metric: >10,000 IOPS for SSDs, lower for HDDs
Ideas to improve this metric Upgrade to faster storage solutions Redistribute data loads Increase cache sizes Use faster file systems Optimise database queries 5. Resource Utilisation Percentage of CPU, memory, and network bandwidth being used, expressed as a %
What good looks like for this metric: 75-85% for efficient resource use
Ideas to improve this metric Perform regular system monitoring Distribute workloads more evenly Implement scalable cloud solutions Prioritise critical processes Utilise virtualisation
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1. Customer Satisfaction (CSAT) Measures customer satisfaction with the service provided, usually through post-interaction surveys
What good looks like for this metric: 75% to 85% satisfaction rate
Ideas to improve this metric Provide personalised responses Ensure timely follow-ups Offer multi-channel support options Use clear and concise language Continuously train staff on customer service 2. Quality Assurance (QA) Score Evaluates the quality of support interactions based on predefined criteria
What good looks like for this metric: 85% to 95% QA score
Ideas to improve this metric Regularly update QA criteria Conduct team workshops Implement a feedback loop for staff Use role-playing scenarios Review and analyse call recordings 3. Average Handle Time (AHT) Tracks the average duration of handling a customer request from start to finish
What good looks like for this metric: 4 to 8 minutes
Ideas to improve this metric Implement time-saving tools Provide comprehensive training Streamline internal processes Utilise call scripts effectively Regularly review AHT goals 4. Tickets Handled Per Hour Measures the number of tickets resolved by a support agent in an hour
What good looks like for this metric: 8 to 12 tickets per hour
Ideas to improve this metric Use ticket management systems Prioritise tasks effectively Encourage team collaboration Automate repetitive tasks Regularly assess ticket assignment 5. First Call Resolution (FCR) Indicates the percentage of calls resolved without the need for follow-up
What good looks like for this metric: 70% to 85% FCR rate
Ideas to improve this metric Provide extensive product training Empower agents to make decisions Enhance access to information Use customer feedback effectively Address common issues promptly
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1. MSME Onboarding Rate Number of new MSMEs registered per month in each state
What good looks like for this metric: 500 MSMEs per state per month
Ideas to improve this metric Implement targeted marketing campaigns Streamline registration process Offer onboarding incentives Enhance user experience on registration platform Facilitate partnerships with local business organisations 2. Adoption Funnel Conversion Percentage progression from onboarding to loan submission
What good looks like for this metric: 70% profile completion rate
Ideas to improve this metric Identify and address common drop-off points Simplify application process Provide users with progress guidance Enhance support and FAQs Use data analytics to personalise follow-ups 3. Active Users Percentage of onboarded MSMEs submitting applications or accessing services monthly
What good looks like for this metric: Industry-specific % benchmarks
Ideas to improve this metric Engage users with newsletters or updates Implement feedback loops with users Offer exclusive services or discounts Provide educational resources to users Monitor and adapt to usage trends 4. Drop-off Points Percentage abandonment at each stage of the adoption funnel
What good looks like for this metric: Industry-specific % reduction
Ideas to improve this metric Regularly review and improve each funnel stage Collect and analyse feedback from users Implement optional steps to ease process Ensure technical stability of platforms Provide real-time assistance 5. Aggregated Funnel Metrics National averages for onboarding, conversions, and active users
What good looks like for this metric: 60% overall conversion rate
Ideas to improve this metric Collate and compare state-level data Identify successful strategies in high-performing states Coordinate national campaigns Collaborate with multiple stakeholders to improve outreach Optimise platforms for better national reach
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Tracking your Performance Analyst metrics Having a plan is one thing, sticking to it is another.
Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.
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
The best metrics for Enhance institutional presence