Active Issues is a critical KPI that reflects the number of unresolved problems impacting operational efficiency and customer satisfaction.
This metric directly influences business outcomes such as service delivery reliability and customer retention rates.
High active issues can signal underlying operational challenges, while low counts often correlate with improved financial health and enhanced customer trust.
Organizations leveraging this KPI can make data-driven decisions to prioritize resource allocation and streamline processes.
Regular monitoring of active issues fosters strategic alignment across teams, ensuring that management reporting remains focused on key performance indicators.
Ultimately, addressing active issues effectively can lead to significant improvements in ROI metrics and overall business performance.
Active Issues appears in KPI Depot's Customer Engagement KPI group, on the internal perspective of the balanced scorecard. It is a supporting operational metric, ranked below the group's perception and loyalty leads: Customer Satisfaction Score (CSAT), Net Promoter Score (NPS), and Customer Retention Rate. Those metrics report how customers feel about support. Active Issues reports the raw workload underneath, the count of open cases waiting at any moment, which is what those feelings are built on.
As a point-in-time count it is a leading operational signal: a rising backlog shows up here before it shows up in CSAT or Churn Rate. Its sharpest tension is with the group's speed and throughput metrics, First Contact Resolution (FCR), Average Resolution Time, and Resolution Rate. A team can shrink the active count by closing cases fast or by deferring hard ones, and only the quality metrics reveal which. That is why First Contact Resolution is the co-metric that keeps Active Issues honest: a falling backlog paired with strong first-contact resolution is genuine progress, while a falling backlog paired with weak resolution quality usually means problems are being reclassified rather than solved.
The formula is a snapshot: the total number of active customer issues or tickets at a given time. Because it is a point-in-time count rather than a rate, the first decision is when you take the reading. An end-of-day snapshot, an end-of-period snapshot, and a rolling average of concurrent open cases can tell three different stories from the same queue.
Define what active means before you count. Decide whether tickets pending on the customer, on hold, or awaiting a third party stay in the count, and whether reopened tickets re-enter it. An optional aging cut, separating recently opened cases from a stale backlog, often carries more signal than the gross count. Segment by queue, priority, and channel so a spike in one area is not hidden inside a stable total.
The data lives in the ticketing system, which makes the main pitfall status juggling: backlog that disappears from the count because tickets are moved to a paused or pending status rather than resolved. The second pitfall is reading the count without its flow. A stable number of active issues can hide a queue where inflow and outflow are both surging, so pair the snapshot with arrival and closure rates before drawing conclusions.
Many organizations underestimate the impact of unresolved issues on customer loyalty and long-term profitability.
Enhancing the management of active issues requires a systematic approach to streamline processes and improve response times.
We have 1 relevant benchmark 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 | tickets | target | backlogged tickets older than 30 days | IT service and support |
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One tracked source describes this metric, and it does so with a specific lens. HDI defines it around backlogged tickets older than thirty days within IT service and support, which is narrower than a plain count of everything currently open. That distinction is the first thing to verify: an aging threshold turns a general open-case count into an aged-backlog measure, and the two are not the same number.
Two further checks matter before borrowing any external figure. The population is IT service desks, so a general customer-service queue with different case types and resolution rhythms will not compare cleanly. And because this is a snapshot rather than a flow, the timing of the measurement, end of day, end of period, or a rolling average of concurrent open cases, changes what the count means. Treat an outside figure as a definition to understand, not a level to match.
The Customer Engagement KPI group builds an objective around resolving issues swiftly and effectively on first contact, with key results spanning First Contact Resolution and Average Resolution Time. Active Issues ladders to that objective as the workload key result: a team can pair its first-contact and resolution-time goals with a directional commitment to reduce the active backlog, so responsiveness improves without simply pushing cases out of sight.
A second framing treats backlog control as its own objective, keeping the support queue healthy and predictable. There Active Issues is the headline key result, held alongside a first-contact-resolution guardrail so the count falls through genuine resolution rather than status changes. Any specific target is a goal the team sets for its own operation, not an external benchmark.
This KPI is associated with the following categories and industries in our KPI database:
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An active issue is any unresolved problem that affects customer experience or operational processes. These can range from technical glitches to service outages that require immediate attention.
Streamlining communication and establishing clear protocols for issue reporting can significantly reduce active issues. Regular training and empowering employees to resolve problems quickly also contribute to lower counts.
While targets can vary by industry, maintaining fewer than 10 active issues is often considered optimal. Organizations should set benchmarks based on their specific operational contexts and customer expectations.
Active issues should be reviewed weekly to ensure timely resolution and to identify any emerging trends. Regular reviews help maintain focus on customer satisfaction and operational efficiency.
Yes, leveraging technology such as issue tracking software can streamline the resolution process. These tools provide visibility and enable teams to collaborate effectively on problem-solving.
Customer feedback is invaluable for identifying and prioritizing active issues. Engaging customers in the resolution process can lead to quicker fixes and improved satisfaction.
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