Effective escalation management is vital for Customer Success. While tools like Jira or ServiceNow handle technical workflows, they often lack the context and visibility CS teams need. This article outlines how to use Gainsight to complement those systems with better tracking, reporting, and accountability.

The Goal

Enable Customer Success teams and leadership to:

• Track the full lifecycle of escalations within Gainsight
• Improve visibility across accounts and teams
• Enrich customer context for health scoring, renewals, and risk management
• Automate follow-ups and SLA tracking with CTAs
• Leverage AI-powered insights through Timeline and Copilot features

Step-by-Step: Escalation Tracking via Gainsight

Step 1: Keep Support Platform as the Source of Truth

Continue using Jira (or ServiceNow or other Support Platforms) to manage detailed escalation workflows, ticket comments, and ownership. Gainsight’s role is visibility and lifecycle tracking, not replacing Jira's ticket resolution process.

Step 2: Ingest Escalation Data into Gainsight

Start by syncing escalation metadata into Gainsight through either:

• Jira Connector (Out-of-the-box option for quick wins)
• ServiceNow Connector (if escalation data routes through ServiceNow)

Recommended fields to ingest:

• Escalation ID / Ticket number
• Subject and Description
• Status (e.g., Open, In Progress, Resolved)
• Priority / Severity
• Owner / Assignee
• Requestor / Customer Contact
• SLA breach flag
• Creation and resolution dates
• Type of Escalation
   

This is your crawl phase — enabling teams to view escalation data in Dashboards and C360.

Step 3: Add Escalations to Gainsight Dashboards

Surface escalations in C360 sections and global dashboards. This ensures CS leaders and CSMs can:

• View active escalations per account
• Track resolution timelines
• Identify patterns or repeat issues
• Monitor SLA breaches

It removes the need to jump between systems and allows teams to act faster, with full context.

Step 4: Enrich Timeline with Escalation Activity

To power AI Copilot features and improve traceability, log escalation events (via rules engine automation) in Timeline using a dedicated Activity Type:
→ Sub-Type: “Escalation”

Use this to record:

• Key Jira ticket updates
• Internal discussions
• Customer conversations
• Follow-up actions taken

This creates a narrative trail and feeds into AI-driven cheat sheets and future success planning.

Step 5: Create CTAs for High-Risk or SLA-Breached Escalations

For escalations that require CS intervention or cross SLA limits:

• Auto-trigger CTAs using Rules Engine
• CTA Type: Risk
• CTA Reason: Escalation (add as a new reason)

Optionally, define playbooks to guide CSMs through:

• Communication with internal teams
• Coordinating with Product or Support
• Keeping customers informed
• Root cause tracking and next steps

Tip: Be mindful of CTA fatigue. Use threshold rules (e.g., only escalate P1 tickets or breached SLAs) to avoid overwhelming CSMs.

Step 6: Enable Two-Way Sync (Advanced)

Eventually, consider a bidirectional sync (via custom APIs or middleware) to:

• Push CSM updates (e.g., status changes, notes) back into Jira
• Keep both systems synchronized
• Improve collaboration between CS, Support, and Engineering

This setup ensures closed-loop visibility across departments.

Why It Works

This method gives Customer Success teams the power of visibility without duplicating effort or stepping on the toes of Support and Engineering. You get:

• A single-pane-of-glass for customer health, escalations, and risk
• Better accountability with CTA workflows
• Historical context through Timeline
• Actionable insights powered by AI
• Dashboards for leadership, without exporting reports from Jira
   

Bonus: Escalation Dashboards

Build views like:

• Escalations by Account / Segment
• SLA Breach Rate by Owner
• Average Time to Resolve
• Escalations Driving Churn Risk
• Repeat Escalations by Product / Module
   

These dashboards enable proactive trend detection and faster leadership response.

Conclusion

Your Jira and ServiceNow workflows are great for resolution. But Gainsight is where escalations become part of the bigger customer story.

To summarize:

• Sync escalations from Jira/ServiceNow

• Enrich customer profiles with Timeline entries

• Auto-create CTAs for SLA risks

• Track and report escalation trends

• Power your AI Copilot with real data

• (Eventually) explore bidirectional sync

By bringing escalations into Gainsight, you turn incidents into insights—and ensure the CS team is empowered to manage, track, and resolve them with full visibility.

Tried something similar in your org? Have questions or ideas? I’d love to hear from you—drop them in the comments!