ITSM, or IT service management, describes the best ways to fulfill employee support requirements through tools and knowledge management.

As an essential part of ITSM, SLAs lay the groundwork for analyzing KPIs or metrics for service desk managers.

But do service-level agreement metrics reflect the true story of the behind-the-scene circumstances?

It is common for service desks to offer a fix to an employee support issue and help them get back to work. From that perspective, IT service delivery meets the service level agreement (SLA).

However, only meeting SLAs does not translate into high customer experience and satisfaction.

If you observe, your employees are not getting much from the traditional service desks. The wait time is drastically longer. A correct response would take time, and an issue may be repetitive.

It can be similar to what you see isn’t what you get—it is similar to a watermelon. In ITSM, the successful service delivery as per SLA, yet the decline in customer experience and satisfaction is known as the watermelon effect. It’s green outside but red inside.

But why is it called the watermelon effect in ITSM? How can you reduce it? Let’s explore these questions.

Service Level Agreements (SLAs) are rules outlining what services an ITSM must provide to its users and within what timeframe.

Let’s say your users expect to address password resets frequently. If you use GenAI-based chatbots, you must define how effectively they should address a user’s problem through an SLA.

So, SLAs define the target for each service and provide the best practices to fulfill its goals.

Unfortunately, while SLAs aim to set clear performance targets, they often fail to capture the true service experience.

There comes how watermelon effects grapple your service desks. Often handed with wrong data, service desks only get data on the service provided and not on how it works on user expectation.

The watermelon effect highlights this gap: SLAs might appear green (meeting targets) on the surface, but the underlying reality is often red (poor service, dissatisfied customers).

This scenario occurs when employees hide the truth about service quality and continue to receive poor service, resulting in misleading metrics.

To enhance employee experience and drive business value, organizations must look beyond SLAs and focus on delivering exceptional service that exceeds expectations.

In many cases, you can notice that SLAs are not always rightly perceived. ITSM performs as per target, but services are compromised. Here are possible reasons.

1. Subpar performance of company devices

A study reveals that employees get their tools and devices at work. However, they are unhappy because they are unreliable and can fail at any point, causing significant productivity losses. SLAs can only reveal the exterior part of the business. Despite the end-user issues, organizations can only see the green part, although the inside is red.

2. Poorest employee experience in self-service IT support

Though an IT self-service portal is widely used, it does not have many tools and features to support real-time problem resolutions. Instead of self-service, employees use traditional methods like emails, phone calls, and SMS to get their queries answered. Traditional KPIs only reveal the data of many users but not how effectively they serve people. Again, you only get green on the outside, but it still has red inside—the watermelon effect in your ITSM.

3. Negative CSAT experience

The familiar scene in a traditional ITSM is that your employees have to repeat the same story repeatedly. Yet, they still don’t know when their tickets will be resolved.

Your service desk tool might contain negative data for CSAT. However, it is tough to pinpoint the data that leads to the actual cause of employee dissatisfaction.

4. Neglecting employee feedback

There is no feedback, no real-time cognizance of the real issues. This is the leading cause of why most organizations fail to spot the blind with employee dissatisfaction. There are no regular feedback cadences for employees on their IT support experience. When you have a similar work process, it is hard to trace what causes employee dissatisfaction and leaves no room for improvement in ITSM response, collaboration, and problem resolution.

The watermelon effects are nowhere to go from your service desk unless you have a modern ITSM suite of tools. Here is how you can prevent watermelon effects from your service desks.

The watermelon effects on ITSM are simply a wrong assumption of SLA’s achievement. As SLAs go wrong, the metrics appear green outside and red inside. Levering AITM or AISM helps you get the right SLA metrics, avoid the nuances of watermelon effects, and drive real employee experience.

Here are the ways how you can prevent watermelon effects.

Generative AI-based ITSM

When your ITSM leverages modern tech innovations like generative AI or LLM-based point-of-contact for service desks, communications become much easier and goal-driven.

You facilitate extended automation capabilities for routine service desk issues. Generative AI's inherent content generation and NLP data processing allow your people to have contextual and intent-based answers. It reduces the need to create workflows for new and unique cases. Instead, Generative AI can understand the query and provide answers but refrain from surfacing rudimentary answers. It helps speed up the response and resolution of routine problems.

LLM-based self-service

Integrating your service desk channels with Generative AI or LLM properties translates your self-service chatbot into a ChatGPT-like interface. Backed by domain-specific knowledge articles, your employees can find enterprise-specific answers like ChatGPT, which delivers to every user quickly.

There are article links for your reference to confirm the veracity of a response. Yet, the flexibility to harness real-time consolidated responses helps find answers quickly and resolve issues in real time.

Moreover, an instant agent handover is enabled if a user does not receive an answer to her query. So, an employee does not have to wait days for a simple answer and lose productivity. LLM-based self-service portals aim at employee satisfaction, not only compliance with SLA targets.

Accurate data metrics

Unlike the traditional ITSM approach, which makes it tough to collect accurate data metrics, the LLM-based service desk helps fetch real-time accurate data. There are no misleading data points that only highlight SLA targets' achievement. Rather, Generative AI-based advanced analytics represent data points that show which tickets were unresolved, what the repetitive issues were, what the wait time was, what the duration of service delivery was, etc. These data points give enough visibility into service desk performance and provide ample recommendations to improve service quality.

Personalized and contextual responses

To combat watermelon effects in ITSM, you can automate employee service in advance. LLM-based ITSM enables workflows to notify employees of a software update or password reset. Besides, LLM-based chat takes care of empathy to connect with a user personally and builds a deeper connection with each employee. As a result, employees love to use self-service, resolve more issues independently, and be complacent with IT support.

Service delivery improvement with feedback

LLM-based service desk eliminates the need for manual feedback collection. After an interaction, the genAI-based chatbot asks for experience with service delivery. The automated workflows capture interaction data with the system, effectively prepare questions on case history and user persona, and help collect feedback. Answers collected from feedback help stakeholders look into loopholes periodically and implement workflows that align with user objectives.

An LLM-based service desk fulfills what a traditional approach prevents for effective SLA metrics. This combats the challenges of watermelon effects and helps improve customer experience with the correct and accurate KPI metrics.

The fact behind why the watermelon effect persists is the poor detection of KPI metrics in service desks.

Generally, service desks capture metrics about the success of service delivery as per SLA targets. In doing so, they neglect customer experience and expedite the chances of the watermelon effect.

With an LLM-based service desk, you can prioritize customer experience over IT performance and harness experience-level agreement (XLA) by eliminating service-level agreement (SLA).

Focusing on experience metrics for service desk users can unlock accurate outcome-based metrics and improve customer experience. This may allow you to build happy users and boost employee retention.

One of the significant ways to address the watermelon effect is to improve visibility across user interactions and service delivery. Workativ provides support for end-to-end visibility into how your users interact with the service desks and how they leverage tools from a GenAI-based chatbot to combat their problems. Workativ has comprehensive GenAI chatbot solutions for employee support to eliminate the watermelon effects and prioritize customer experience.

Here are what employees can use to derive maximum satisfaction from a service desk.

1. Knowledge AI or LLM-powered chatbot

The speed of accuracy for every question searched satisfies employees, who look to find fast answers and do their best work. Knowledge AI or RAG-based search systems allow employees to find information from third-party sources or knowledge repositories while improving correctness and eliminating hallucinations to amplify self-service capabilities. Employees can find correct answers, auto-resolve problems, and give agents free time to focus on strategic tasks.

With Knowledge AI, employees can reduce wait time, align with SLA objectives, and remove the watermelon effects.

2. Workflow automation

Workativ’s conversational AI harnesses ChatGPT-like qualities to translate every query into GenAI-based chats and transform the employee experience. All you need to do is connect your knowledge bases to Knowledge AI, and you can automate workflows for a query your employees have. This can also help get answers quickly, reduce wait time, and boost employee experience.

3. Shared live inbox

Workativ’s shared live inbox keeps every agent updated with tickets escalated by employees. Agents know the priority of employee queries and address them as quickly as possible with full visibility across employee ticket history. Without the need to tell the same story repeatedly, an LLM-based chat inbox unifies each piece of information at the same place, giving a view of ongoing tickets and providing help to resolve them with help from teammates.

Workativ plays a key role in removing the watermelon effects from your service desks by facilitating employee support by all means. Employees can find answers quickly, resolve problems steadily, and reduce wait times, which is otherwise a key reason to trigger employee unhappiness.

As Workativ improves the employee experience, SLAs also improve and provide the right metrics on user experience only rather than IT performance.

When you implement Workativ, you can remove the watermelon effect and boost experience-based metrics, which ultimately help build employee experience.

If you want to learn more about implementing GenAI-based chatbots and remove the watermelon effects, Workativ can help. Schedule a demo today.

1. What is the watermelon effect in ITSM?

When your ITSM performance metrics are green, like the skin of a watermelon, despite poor employee support performance, but they are red inside, this scenario is known as the watermelon effect in ITSM.

2. Why does the watermelon effect take place?

The watermelon effect in ITSM occurs due to poor identification of ITSM metrics. Service desk metrics appear positive based on the service provided but not on how it can meet customer queries. Hence, the service desk continues to work on the processes without any improvement, which adds to customer dissatisfaction.

3. Why is the watermelon effect harmful to your company’s growth?

The watermelon effect reduces productivity and increases the costs of handling employee queries. On the other hand, employees do not get the most of their service desks to perform at their best.

4. How can Generative AI help eliminate the watermelon effects?

Generative AI leverages massive datasets to process information and provide instant answers for auto-resolutions of problems. As a result, it helps improve self-service, increases response time, provides data analytics to improve service delivery, and eliminates the watermelon effects.