The top KPIs for Technical Support are critical as they provide measurable values that reflect the performance and success of the support team. They help in identifying areas for improvement, ensuring that support efforts align with overall business objectives.
By tracking relevant KPIs, such as first response time, ticket resolution time, and customer satisfaction scores, support managers can make data-driven decisions to enhance service quality and efficiency.
This article showcases the Most Critical 12 KPIs for Technical Support and Associated Benchmarks.
Customer Satisfaction Score (CSAT) is a critical performance indicator that gauges customer perceptions of service quality.
High CSAT scores correlate with customer loyalty, repeat purchases, and positive word-of-mouth, directly impacting revenue growth. Organizations that prioritize CSAT can enhance operational efficiency and drive strategic alignment across departments.
By embedding CSAT into their KPI framework, executives can make data-driven decisions that improve customer experiences. Learn more about the Customer Satisfaction Score (CSAT) KPI.
View Common Pitfalls
View Improvement Levers
We have 7 benchmarks for this KPI available in our database.
Related KPI Categories
First Contact Resolution Rate (FCR) is a critical KPI that measures the percentage of customer inquiries resolved on the first interaction.
High FCR correlates with improved customer satisfaction and operational efficiency, leading to enhanced retention and loyalty. Companies that excel in FCR often experience lower operational costs, as fewer follow-up interactions are required.
This metric serves as a leading indicator of customer experience and can significantly impact financial health by reducing churn. Learn more about the First Contact Resolution Rate KPI.
View Common Pitfalls
View Improvement Levers
We have 11 benchmarks for this KPI available in our database.
Related KPI Categories
Mean Time to Repair (MTTR) is a critical KPI that measures the average time taken to restore a system or component after a failure.
This metric directly influences operational efficiency, customer satisfaction, and overall financial health. A lower MTTR indicates a responsive maintenance strategy, which can enhance service reliability and reduce downtime costs.
Companies that excel in minimizing MTTR often see improved ROI metrics and better alignment with strategic goals. Learn more about the Mean Time to Repair (MTTR) KPI.
View Common Pitfalls
View Improvement Levers
We have 3 benchmarks for this KPI available in our database.
Related KPI Categories
First Level Resolution (FLR) is a critical performance indicator that measures the efficiency of customer service operations.
It directly influences customer satisfaction, operational efficiency, and cost control metrics. High FLR rates indicate that issues are resolved promptly, reducing the need for escalations and repeat contacts.
This not only enhances customer loyalty but also lowers operational costs, contributing to improved financial health. Learn more about the First Level Resolution (FLR) KPI.
View Common Pitfalls
View Improvement Levers
We have 1 benchmark for this KPI available in our database.
Service-Level Agreement (SLA) Compliance Rate is a vital KPI that measures how well organizations meet their service commitments.
High compliance rates correlate with improved customer satisfaction and retention, directly impacting revenue growth. Conversely, low compliance can lead to increased churn and operational inefficiencies.
By tracking this metric, executives gain analytical insight into service performance and can identify areas for improvement. Learn more about the Service Level Agreement (SLA) Compliance Rate KPI.
View Common Pitfalls
View Improvement Levers
We have 4 benchmarks for this KPI available in our database.
View Service Level Agreement (SLA) Compliance Rate Benchmarks
Related KPI Categories
Customer Effort Score (CES) measures how easy it is for customers to interact with a company, influencing customer satisfaction, loyalty, and retention.
A lower CES indicates streamlined processes and higher operational efficiency, while a higher score often signals friction points that can lead to churn. Companies that prioritize reducing customer effort typically see improved financial health and stronger business outcomes.
By tracking CES, organizations can make data-driven decisions that enhance customer experiences and align with strategic goals. Learn more about the Customer Effort Score (CES) KPI.
View Common Pitfalls
View Improvement Levers
We have 6 benchmarks for this KPI available in our database.
Related KPI Categories
Resolution Rate by Support Tier is a critical KPI that reflects the efficiency of customer support operations.
It directly influences customer satisfaction, retention rates, and operational efficiency. High resolution rates indicate effective problem-solving capabilities, while low rates may signal underlying issues in support processes.
Organizations can leverage this KPI to enhance their service delivery and align with customer expectations. Learn more about the Resolution Rate by Support Tier KPI.
View Common Pitfalls
View Improvement Levers
We have 4 benchmarks for this KPI available in our database.
Average Resolution Time (ART) is a critical performance indicator that reflects the efficiency of customer service operations.
It directly influences customer satisfaction, operational efficiency, and financial health. A lower ART indicates a streamlined process, leading to enhanced customer loyalty and retention.
Conversely, a higher ART can signal inefficiencies that may erode trust and increase operational costs. Learn more about the Average Resolution Time KPI.
View Common Pitfalls
View Improvement Levers
We have 2 benchmarks for this KPI available in our database.
Related KPI Categories
Support Availability is crucial for maintaining operational efficiency and ensuring customer satisfaction.
It directly influences business outcomes such as customer retention and revenue growth. High support availability enhances the overall financial health of an organization by reducing churn and fostering loyalty.
Companies that prioritize this KPI often see improved forecasting accuracy and better alignment with strategic goals. Learn more about the Support Availability KPI.
View Common Pitfalls
View Improvement Levers
We have 2 benchmarks for this KPI available in our database.
Technical Accuracy is a critical KPI that assesses the precision of data and reporting within an organization.
High technical accuracy enhances financial health, enabling data-driven decision-making and improved operational efficiency. This KPI influences business outcomes such as forecasting accuracy and cost control metrics.
Organizations that prioritize technical accuracy can better align their strategic objectives and track results effectively. Learn more about the Technical Accuracy KPI.
View Common Pitfalls
View Improvement Levers
We have 3 benchmarks for this KPI available in our database.
Related KPI Categories
Customer Retention Rate Post-Support is a vital performance indicator that reflects the effectiveness of customer service initiatives.
High retention rates often correlate with improved customer loyalty and increased lifetime value, directly impacting revenue growth. This KPI serves as a leading indicator of financial health and operational efficiency, enabling organizations to make data-driven decisions.
By tracking this metric, businesses can identify areas for improvement and align strategies with customer expectations. Learn more about the Customer Retention Rate Post-Support KPI.
View Common Pitfalls
View Improvement Levers
We have 1 benchmark for this KPI available in our database.
Support Interaction Quality is a critical KPI that reflects the effectiveness of customer service engagements.
High-quality interactions can lead to improved customer satisfaction, loyalty, and retention, ultimately driving revenue growth. Organizations that prioritize this metric often see enhanced operational efficiency and better financial health.
By leveraging data-driven decision-making, companies can identify areas for improvement and align their strategies with customer expectations. Learn more about the Support Interaction Quality KPI.
View Common Pitfalls
View Improvement Levers
We have 6 benchmarks for this KPI available in our database.
These 12 Technical Support KPIs were selected to provide a balanced view of support performance across customer experience, operational efficiency, and compliance. They combine leading indicators like First Contact Resolution Rate and Customer Effort Score with lagging metrics such as Customer Retention Rate Post-Support and Mean Time to Repair. This set covers the full support funnel from initial contact through resolution and post-support outcomes, ensuring comprehensive monitoring for Technical Support teams.
Track Customer Satisfaction Score alongside First Contact Resolution Rate to identify if quick resolutions align with customer happiness or if quality suffers. Monitor SLA Compliance Rate in conjunction with Mean Time to Repair; a high SLA compliance with rising MTTR signals potential inefficiencies within repair processes despite meeting contractual obligations. Compare First Level Resolution with Resolution Rate by Support Tier to detect bottlenecks or skill gaps in frontline support that may increase escalation volume and delay resolution.
Prioritize implementing Customer Satisfaction Score, First Contact Resolution Rate, and SLA Compliance Rate first. These KPIs are typically available from existing support tools and offer immediate insight into customer experience and operational adherence. Follow with Mean Time to Repair and First Level Resolution to deepen diagnostic capability on efficiency and tiered support performance. The full Technical Support KPI set, with detailed formulas and benchmarks, is accessible in the KPI Depot database.
These best practice documents below are available for individual purchase from Flevy , the largest knowledge base of business frameworks, templates, and financial models available online.
KPI Depot (formerly the Flevy KPI Library) is a comprehensive, fully searchable database of over 20,000+ KPIs and 30,000+ benchmarks. Each KPI is documented with 12 practical attributes that take you from definition to real-world application (definition, business insights, measurement approach, formula, trend analysis, diagnostics, tips, visualization ideas, risk warnings, tools & tech, integration points, and change impact).
KPI categories span every major corporate function and more than 150+ industries, giving executives, analysts, and consultants an instant, plug-and-play reference for building scorecards, dashboards, and data-driven strategies.
Our team is constantly expanding our KPI database and benchmarks database.
Got a question? Email us at support@kpidepot.com.
Each KPI in our knowledge base includes 12 attributes.
A clear explanation of what the KPI measures
The typical business insights we expect to gain through the tracking of this KPI
An outline of the approach or process followed to measure this KPI
The standard formula organizations use to calculate this KPI
Insights into how the KPI tends to evolve over time and what trends could indicate positive or negative performance shifts
Questions to ask to better understand your current position is for the KPI and how it can improve
Practical, actionable tips for improving the KPI, which might involve operational changes, strategic shifts, or tactical actions
Recommended charts or graphs that best represent the trends and patterns around the KPI for more effective reporting and decision-making
Potential risks or warnings signs that could indicate underlying issues that require immediate attention
Suggested tools, technologies, and software that can help in tracking and analyzing the KPI more effectively
How the KPI can be integrated with other business systems and processes for holistic strategic performance management
Explanation of how changes in the KPI can impact other KPIs and what kind of changes can be expected
What does unlimited web access mean?
Our complete KPI and benchmark database is viewable online. Unlimited web access means you can browse as much of our online KPI and benchmark database as you'd like, with no limitations or restrictions (e.g. certain number of views per month). You are only restricted on the quantity of CSV downloads (see question below).
Can I download a KPI group (e.g. Competitive Benchmarking KPIs)?
Yes. You can download a complete KPI group (which includes all inclusive KPIs and respective attributes data) as a CSV file. Basic plan subscribers receive 5 downloads a month; Pro plan subscribers receive 20 downloads a month.
To gain a better sense of the KPI data included, you can download a sample CSV file here. Note the CSV download only includes KPI attribute data; and not benchmark data.
Can I can cancel at any time?
Yes. You can cancel your subscription at any time. After cancellation, your KPI Depot subscription will remain active until the end of the current billing period.
Do you offer a free trial?
We allow you to preview all of our KPI groups. If you are not a KPI Depot subscriber, you can only see the first 3 KPIs in each group.
What if I can't find a particular set of KPIs?
Please email us at support@kpidepot.com if you can't find what you need. Since our database is so vast, sometimes it may be difficult to find what you need. If we discover we don't have what you need, our research team will work on incorporating the missing KPIs. Turnaround time for these situations is typically 1 business week.
Where do you source your benchmark data?
We compile benchmarks from multiple high-quality sources and document the provenance for each metric. Our inputs include:
Each benchmark lists its source attribution and last-updated date where available. We are constantly refreshing our database with new and updated data points.
Do you provide citations or references for the original benchmark source?
Yes. Every benchmark data point includes a full citation and structured context. Where available, we display:
We cite the original publisher and link directly to the source (or an archived link) when possible. Many KPIs have multiple independent benchmarks; each appears as its own entry with its own citation.
What payment methods do you accept?
We accept a comprehensive range of payment methods, including Visa, Mastercard, American Express, Apple Pay, Google Pay, and various region-specific options, all through Stripe's secure platform. Stripe is our payment processor and is also used by Amazon, Walmart, Target, Apple, and Samsung, reflecting its reliability and widespread trust in the industry.
Are multi-user corporate plans available?
Yes. Please contact us at support@kpidepot.com with your specific needs.