If we dive into the goal of offering better customer experiences, we can find ourselves in a universe of different methodologies, concepts, and acronyms; that is why, in this blog post, we will explore three relevant metrics to drive customer service satisfaction and understand the distinctions between Service Level Agreements and Customer Satisfaction.
In the dynamic landscape of Customer Experience (CX) and IT Service Management (ITSM), two critical metrics play pivotal roles in gauging the effectiveness of service delivery - Service Level Agreements (SLA) and Customer Satisfaction (CSAT). Though these terms are often used interchangeably, they serve distinct purposes and contribute uniquely to the overall success of an organization's service strategy.
Typically, the key components of an SLA include:
Typically, the key aspects of CSAT include the following:
Considering both definitions, Can we define service-level agreements based on customer happiness? Yes, we can! That's why we have crafted the concept of Emotional Level Agreement (ELA), a metric measured in the app for Jira we've developed: Gomood, winner of 2023 Atlassian's hackathon, The Codegeist Unleashed.
This might be the first time you've heard about it: ELA. How often have your customers approached your service desk feeling upset or frustrated? And how many times have you identified that and successfully turned their mood around positively? That's the aim of having an ELA in place – it's a metric that not only resolves issues but allows you to enhance customer satisfaction through timely responses, and focusing your overall approach.
Important factors in ELA:
Centralize in Jira customer insights to track their happiness with the service provided
SLA |
CSAT |
ELA |
|
Nature of measurement |
Objective and quantifiable metrics focused on performance and adherence to predefined standards. | Subjective. It captures the customer's perception and emotional response to the service received. | A centralized system captures customer sentiment and emotions from start to finish. |
Purpose |
It serves as a contractual agreement outlining expectations and responsibilities. | It's a feedback mechanism to assess customer satisfaction and identify areas for improvement. | Internal agreement to enhance customer sentiments through service support. |
Time orientation |
Emphasizes timely delivery and performance within predefined timeframes. | Reflects the overall satisfaction at a specific time, often after a service interaction. | It shows the evolution of customer sentiment during the ticket's life. |
Scope |
Focuses on the entire service delivery process and specific performance metrics. | Targets customer's experience, capturing feelings and opinions about the service. | It aims at the customer's sentiment and emotions using AI to analyze their comments. |
While SLAs, CSAT, and ELAs measure different aspects of the service lifecycle, they are complementary in ensuring a holistic approach to service excellence. SLAs provide the structure and benchmarks necessary for consistent and reliable service delivery. At the same time, CSAT offers insights into the customer's subjective experience and satisfaction levels, and ELA could be a mix of both, defining internal agreements to create customer happiness.