Error Rate in Contact Handling is a critical performance indicator that reflects the efficiency of customer interactions and impacts overall operational efficiency.
High error rates can lead to customer dissatisfaction, increased costs, and ultimately, reduced financial health.
By monitoring this KPI, organizations can identify areas for improvement, streamline processes, and enhance customer experience.
Reducing errors not only improves service quality but also drives better business outcomes, such as increased customer retention and lower operational costs.
A focus on this metric fosters strategic alignment across departments, ensuring that teams work towards common goals.
High error rates indicate inefficiencies in contact handling processes, often leading to customer frustration and increased operational costs. Conversely, low error rates suggest effective communication and streamlined workflows, contributing to improved customer satisfaction. Ideal targets typically fall below 5%, signaling a well-functioning contact handling system.
We have 11 relevant benchmarks in our benchmarks database.
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | small ECCs (one to 15 employees); medium ECCs (16 to 75 empl | 9-1-1 calls | Emergency Communications Centers (ECCs) | United States | 772 employees |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | small ECCs (one to 15 employees); medium ECCs (16 to 75 empl | 9-1-1 calls | Emergency Communications Centers (ECCs) | United States | 772 employees |
Source: Subscribers only
Source Excerpt: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | benchmark | transactions monitored | customer contact centers |
Source: Subscribers only
Source Excerpt: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | median | transactions monitored | customer contact centers |
Source: Subscribers only
Source Excerpt: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | fourth quartile | programs in the benchmark database | customer contact centers |
Source: Subscribers only
Source Excerpt: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | percentage | programs in the benchmark database | customer contact centers |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | median | inbound phone transactions monitored | customer contact centers |
Source: Subscribers only
Source Excerpt: Subscribers only
Formula: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | benchmark | transactions monitored | customer contact centers |
Source: Subscribers only
Source Excerpt: Subscribers only
Formula: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | mean | transactions monitored | contact centers | across regions |
Source: Subscribers only
Source Excerpt: Subscribers only
Formula: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | mean | transactions monitored | contact centers | across regions |
Source: Subscribers only
Source Excerpt: Subscribers only
Formula: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | mean | transactions monitored | contact centers | across regions |
Many organizations overlook the significance of error rates, assuming that customer complaints are isolated incidents.
Enhancing contact handling efficiency requires a proactive approach to identifying and addressing error sources.
A leading telecommunications provider faced rising error rates in contact handling, which negatively impacted customer satisfaction and retention. Over the previous year, the error rate had climbed to 8%, leading to increased customer complaints and a decline in Net Promoter Score (NPS). Recognizing the urgency, the company initiated a comprehensive review of its customer service processes, focusing on training and technology enhancements.
The initiative, dubbed "Customer First," involved rolling out a new training curriculum for all customer service representatives, emphasizing effective communication and problem-solving skills. Additionally, the company invested in a sophisticated analytics platform that tracked error rates in real-time, enabling managers to identify and address issues promptly. As a result, employees became more empowered to resolve customer inquiries, leading to a more positive customer experience.
Within 6 months, the telecommunications provider reduced its error rate to 3%, significantly improving customer satisfaction scores. The initiative not only enhanced service quality but also resulted in a 15% increase in customer retention rates. The success of "Customer First" demonstrated the value of data-driven decision-making and operational efficiency in contact handling, reinforcing the company's commitment to customer-centric service.
This KPI is associated with the following categories and industries in our KPI database:
KPI Depot takes you from KPI intelligence to finished deliverable. Consultants, strategy teams, FP&A leaders, and analytics teams use it to answer the two hardest questions in performance management, what to measure and what the target should be, and then to produce the scorecard itself.
The difference is intelligence, not just data. Anyone can list metrics. Every KPI in KPI Depot carries 13 practical attributes, from formula and measurement approach to diagnostic questions, risk warnings, and Balanced Scorecard perspective, across 15 corporate functions and 153 industries. And every target you set is grounded in our database of 34,304 source-attributed benchmarks, each detailing metric value, company size, time period, industry, geography, sample size, and source. Benchmark data at this scale is otherwise the domain of research services costing thousands to hundreds of thousands of dollars per year.
When your metrics are selected, KPI Depot finishes the job: export an interactive Strategy Map, a Balanced Scorecard with formulas and tracking columns, or a CSV KPI pack, and go from research to working deliverable in hours instead of weeks.
Formerly the Flevy KPI Library, KPI Depot is trusted by teams at organizations including Accenture, EY, IBM, PepsiCo, Samsung, and Vodafone.
Got a question? Email us at [email protected].
A good error rate typically falls below 5%. Rates below 2% are considered excellent and indicate a high level of operational efficiency.
Technology can automate routine tasks, reducing the likelihood of human error. Advanced analytics tools also provide insights that help identify patterns and areas for improvement.
Training equips staff with the skills needed to handle customer inquiries effectively. Well-trained employees are less likely to make mistakes, leading to improved customer satisfaction.
Regular reviews, ideally monthly, are essential for tracking performance and identifying trends. Frequent monitoring allows organizations to respond quickly to emerging issues.
Customer feedback is crucial for identifying pain points and areas needing improvement. Structured feedback mechanisms help organizations address systemic issues that contribute to errors.
Yes, lower error rates can lead to increased customer satisfaction and retention, ultimately improving financial health. Enhanced service quality often translates to better business outcomes and higher ROI.
Each KPI in our knowledge base includes 13 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
NEW Mapping to a Balanced Scorecard perspective (financial, customer, internal process, learning & growth)