From Fleeting Frustration to Foundational Fixes: Mastering Problem Creation from Incidents

In the fast-paced world of IT service management, we often deal with a constant stream of disruptions. Users report issues, help desks log them, and the goal is to get things back online as quickly as possible. These immediate disruptions are what we call incidents. But what happens when the same pain point keeps popping up? When it’s not just a one-off glitch, but a recurring headache? This is where the concept of a problem emerges, and understanding its relationship with incidents is crucial for proactive IT operations.

This article dives deep into the art and science of creating problems from incidents. We’ll explore what defines a problem, how it differs from an incident, and the practical steps and logic involved in this vital ITSM process. Whether you’re a seasoned IT professional, a budding service desk analyst, or preparing for an interview, this comprehensive guide will equip you with the knowledge to transform recurring incidents into actionable problems, leading to more stable and efficient systems.

Understanding the Core Concepts: Incident vs. Problem

Before we can effectively create problems, we need a crystal-clear understanding of what differentiates an incident from a problem. It’s a distinction that underpins effective IT support and management.

What is an Incident?

Think of an incident as an unplanned interruption to an IT service or a reduction in the quality of an IT service. It’s something that’s impacting a user’s ability to perform their work right now. For example:

• A user can’t log in to their email.
• A printer has stopped working.
• A critical application is crashing.

The primary goal when dealing with an incident is restoration of service. We want to get the user back to work as quickly as possible. This often involves workarounds or immediate fixes, even if the root cause isn’t fully understood yet.

What is a Problem?

A problem, on the other hand, is the underlying cause of one or more incidents. It’s not about the immediate disruption, but about identifying and resolving the root cause of recurring issues. The definition provided in our reference is insightful:

“if the same issue is repeatedly happening to the same employee then it is called problem. if the same problem is happening to the multiple people at the same time then its an incident, where will create a parent incident and rest of all will be child incidents, whenever you close the parent incident the child incidents will be also get closed”

Let’s break this down:

• Recurring Issue for the Same Employee: If John consistently experiences the same network connectivity drop in his office every Tuesday afternoon, that’s a strong indicator of a problem.
• Multiple Similar Issues Simultaneously: If suddenly, 50 employees across different departments report being unable to access the company’s financial reporting tool at the exact same time, this is initially logged as a major incident. However, the underlying cause of this widespread outage is the problem we need to address. In such scenarios, one incident is designated as the parent incident, and all other reported issues of the same nature become child incidents linked to it. When the parent incident is resolved and closed, it signals that the underlying problem has been fixed, and consequently, all associated child incidents are also closed, reflecting the resolution of the broader issue.

The key difference lies in the objective: for incidents, it’s rapid restoration; for problems, it’s root cause analysis and permanent resolution to prevent future incidents.

The Power of Proactive Management: Creating Problems from Incidents

This is where the magic happens. The ability to identify a pattern in incidents and elevate it to a problem record is a cornerstone of effective ITIL (Information Technology Infrastructure Library) practices. Why is this so important?

• Reduces Incident Volume: By fixing the root cause, you prevent the same incidents from occurring repeatedly, freeing up valuable support resources.
• Improves Service Stability: Fewer disruptions mean a more reliable and stable IT environment for everyone.
• Cost Savings: Proactive problem resolution is almost always cheaper than reactive incident management, which often involves overtime and expedited fixes.
• Better Resource Allocation: It allows technical teams to focus on strategic improvements rather than constantly firefighting.

Can We Create Problem Records from Incidents?

Absolutely! This is a fundamental capability in most ITSM tools. The reference confirms:

“yes, if the issue is repeatedly occurring then we will create a problem from incident.”

This process typically involves:

1. Identifying a Pattern: A service desk analyst or a technical support team notices that multiple similar incidents are being logged, or the same incident type keeps reappearing for the same user or group.
2. Initiating Problem Management: Based on the pattern, a decision is made to create a formal problem record.
3. Linking Incidents: All the related incidents are then linked to this new problem record. This consolidation provides a comprehensive view of the issue’s impact.
4. Root Cause Analysis (RCA): The problem management team (often specialized engineers or architects) investigates the linked incidents to determine the underlying root cause.
5. Developing a Solution: Once the root cause is identified, a solution is devised. This might involve a code fix, a configuration change, a hardware replacement, or an update to documentation or procedures.
6. Implementing the Fix: The solution is then implemented, often through a change request (which we’ll touch on later).
7. Closing the Problem: Once the fix is verified and the problem is deemed resolved, the problem record is closed, and all linked incidents that were waiting for this resolution are also closed.

Automating the Process: Business Rules and Logic

Modern ITSM platforms are powerful tools that can automate many of these workflows. Business rules, often implemented as “After Business Rules,” are key to ensuring smooth transitions and maintaining data integrity.

Logic: Closing Child Incidents When the Parent is Closed

One common automation scenario is ensuring that when a parent incident (representing a major outage) is resolved and closed, all its associated child incidents are also closed. This prevents confusion and accurately reflects that the overarching issue has been dealt with.

The reference provides a specific logic for this:

    // Write an after business Rule
    // When -- After
    // Update - true
    // Condition: current.state.changesTo(7); // Assuming state '7' means 'Closed'

    if (current.state == 7 && current.parent == '') {
        // GlideRecord to find child incidents
        var grChild = new GlideRecord('incident');
        grChild.addQuery('parent', current.sys_id);
        grChild.query();
        while (grChild.next()) {
            grChild.state = 7; // Set the state to Closed
            grChild.update(); // Update the child incident
        }
    }
    

Explanation:

• Trigger: This is an After Business Rule that runs after an incident record is updated. The condition `current.state.changesTo(7)` means it specifically fires when the incident’s state changes *to* the value representing ‘Closed’ (often ‘7’ in systems like ServiceNow). The `current.parent == ”` part ensures this logic only applies to top-level incidents (those that are not children of another incident).
• Finding Children: The script then uses `GlideRecord` to query the ‘incident’ table. It looks for any incident records where the ‘parent’ field matches the `sys_id` (unique identifier) of the current, closing incident.
• Closing Children: For every child incident found, its `state` is set to ‘7’ (Closed), and the record is updated. This neatly cascades the closure.

This automated process is critical for managing large-scale outages, ensuring that the resolution of the primary issue is reflected across all impacted users or systems.

Logic: Closing Associated Incidents When a Problem is Closed

A similar, perhaps even more critical, automation is when a problem is resolved and closed, its associated incidents should also be closed. This signifies that the root cause has been fixed, and therefore, all the incidents that were manifestations of that problem are now resolved.

The reference offers this logic:

    // Assuming this is part of a business rule on the 'problem' table
    // When -- After
    // Update - true
    // Condition: current.state == 7; // Assuming 7 is the state value for 'Closed'

    if (current.state == 7) {
        // GlideRecord to find incidents associated with the problem
        var grIncident = new GlideRecord('incident');
        grIncident.addQuery('problem_id', current.sys_id); // Assuming 'problem_id' is the field linking incidents to problems
        grIncident.addQuery('state', '!=', 7); // Assuming 7 is the state value for 'Closed'
        grIncident.query();
        while (grIncident.next()) {
            grIncident.state = 7; // Set the state to Closed
            grIncident.update(); // Update the incident
        }
    }
    

Explanation:

• Trigger: This business rule on the problem table also fires after an update. The condition `current.state == 7` means it triggers when a problem’s state changes to ‘Closed’.
• Finding Incidents: It queries the ‘incident’ table. The crucial part is `grIncident.addQuery(‘problem_id’, current.sys_id);`. This links incidents to the problem record, typically through a field named `problem_id` on the incident table that stores the `sys_id` of the related problem.
• Excluding Already Closed: The `grIncident.addQuery(‘state’, ‘!=’, 7);` is a good practice. It ensures that we only attempt to close incidents that are not already in a ‘Closed’ state, preventing unnecessary updates and potential errors.
• Closing Incidents: For each active incident linked to the now-closed problem, its state is set to ‘7’ (Closed) and updated.

This automation is a direct manifestation of the problem management lifecycle – resolving the root cause (the problem) inherently resolves its symptoms (the incidents).

The Wider Ecosystem: Problem, Incident, and Change Management

Incidents and problems don’t exist in a vacuum. They are intrinsically linked to other ITIL processes, most notably Change Management.

The reference succinctly outlines this:

“if a person face some issue he will create an incident and if the same issue is happening again and again then he will create a problem , and if the support team feels like some changes are required in their software then they will create a change request.”

Let’s expand on this:

• Incident: User experiences a technical difficulty. Service desk logs and resolves it.
• Problem: The same incident keeps happening. A problem record is created to investigate the root cause.
• Change Request: If the root cause analysis identifies that the issue can only be fixed by modifying an existing service or system (e.g., patching software, reconfiguring a server, deploying new code), then a change request is raised.

The relationship is a natural progression:

Incident -> Problem -> Change Request -> Resolution

A problem record often serves as the justification and driver for a change request. The problem record details the issue and the identified root cause, and the change request outlines the specific actions to be taken to implement the fix. Successful completion of the change request should ideally lead to the closure of the problem record and, consequently, all associated incidents.

A Quick Note on the Task Table

It’s also worth noting that in many ITSM systems, core IT service management records like Incidents, Problems, and Change Requests are built upon a common foundation – the Task table. This allows for consistent fields, workflows, and reporting across different types of service management activities.

As the reference mentions:

“incident, problem change request which are extending task table.”

This means they inherit common attributes and behaviors from the Task table, providing a unified structure for managing these critical IT processes.

Best Practices for Problem Creation

To effectively leverage problem management, consider these best practices:

• Clear Identification Criteria: Define what constitutes a “recurring issue” or a “pattern” that warrants creating a problem record. This could be a number of incidents within a timeframe, recurring incidents for the same user, or a high-impact incident.
• Empower Service Desk: Train service desk analysts to recognize patterns and understand when to escalate for problem investigation.
• Dedicated Problem Management Resources: Have individuals or a team responsible for conducting in-depth root cause analysis.
• Effective Linking: Ensure there’s a robust mechanism to link all related incidents to the problem record.
• Prioritization: Problems should be prioritized based on their potential impact, similar to incidents.
• Knowledge Management Integration: Document findings, workarounds, and resolutions in a knowledge base to further prevent future incidents and speed up incident resolution.
• Regular Review: Periodically review open problems and their progress.

Conclusion

Transforming recurring frustrations into actionable insights is the essence of effective problem management. By understanding the distinct roles of incidents and problems, and by mastering the process of creating problem records from identified incident patterns, IT organizations can move beyond reactive firefighting. They can build more stable, reliable, and efficient IT services.

The automation logic discussed, particularly for cascading closures, is vital for maintaining order and accuracy within your ITSM system. Furthermore, recognizing the interplay between Incident, Problem, and Change Management allows for a holistic approach to service improvement.

So, the next time you see the same issue popping up repeatedly, don’t just log another incident. Think about the underlying problem, initiate the process of problem creation, and contribute to a truly proactive and resilient IT environment. This proactive approach is not just good practice; it’s a hallmark of mature IT operations and a key differentiator in the eyes of both users and employers.