Service Level Agreements
A Service Level Agreement (SLA) in the context of customer support, SLAs outline the maximum timeframes within which agents should respond to and resolve customer inquiries or issues.
Why is SLA useful?
Improved Customer Satisfaction: By setting clear expectations for response and resolution times, SLAs help ensure customers receive timely support, which boosts satisfaction and trust.
Enhanced Accountability: SLAs provide a structured framework for monitoring agent performance. This makes it easier to identify gaps in service delivery and take corrective actions.
Better Resource Management: By setting priorities and deadlines, SLAs help teams manage workloads effectively, ensuring critical issues are addressed promptly.
Data-Driven Insights: SLAs provide valuable metrics that can be analyzed to understand performance trends, helping organizations make informed decisions to improve processes.
Incorporating SLAs into your CRM platform helps maintain high standards of service, driving both operational efficiency and customer loyalty.
Feature Description
Creating metric-based SLAs:
Understanding the metrics:
First Response Time (FRT): Calculated from the ticket's "opened_at" time, irrespective of agent assignment.
Next Response Time (NRT): Calculated from the first user message until the agent replies back.
Resolution Time (RT): Calculated from the ticket's "opened_at" time until it is resolved, regardless of agent handoffs.

Defining Escalations and Reminders
Multi-Level Escalations: Users can set up multi-level escalations if any of these policies are breached.
Escalations consist of in-app notification and mails

Reminders: Users can set up reminders when the SLA is nearing breach time to prompt timely actions.
Reminders also consist of in-app notification and mails
Example of Reminders and Escalations
Reminder Example: When FRT approaches in 30 minutes, send a reminder to the assigned agent.
Escalation Example: When FRT is not met, escalate immediately to the assigned agent and send a level 2 escalation to the admin if the ticket is still not resolved after 30 minutes.
Defining SLA Conditions
Users can define SLA policies based on:
Inbox
Team
Tags

SLA Policy Ordering
Users can define the order in which SLA policies are applied to avoid multiple SLAs being applied to a single ticket. Ordering is essential to ensure that only one SLA policy is applied per ticket, preventing ambiguity.
Out-of-Office Settings
Users have the option to include or exclude out-of-office hours in SLA calculations, defined for each metric.

Filters in the “Tickets” Section
Breached SLA: Filter to differentiate between tickets where any SLA was breached.
Nearing SLA Breach: Filter for tickets nearing SLA breach within a defined time frame.

Metrics and Reporting
Ticket Level Metrics
Overall SLA Violation %: Percentage of tickets where any SLA was breached.
Agent Level Metrics
Violation % for Agents: Calculated for closed tickets, showing the percentage of violations for FRT, NRT, and RT.
Notifications and Highlights
In app notifications : Notifications for escalations and reminders and breaches
Activity Messages in Tickets: Indications of SLA status within ticket conversations


Email notification: An email will be sent to inform about the breached cases
To know more about SLA feature, check this video:
FAQ'S
Last updated