OpenText Core Experience Insights - Zendesk Integration and Automation

Common Integration Use Cases Between OpenText Core Experience Insights and Zendesk

OpenText Core Experience Insights helps organizations understand how users interact with content and applications, while Zendesk manages customer support conversations across channels. Integrated together, they can connect support activity with real usage behavior, helping teams improve service quality, reduce friction, and make better decisions based on real customer and agent interaction data.

1. Correlate Support Tickets with Content and Application Usage Patterns

Data flow: OpenText Core Experience Insights to Zendesk

When support teams receive repeated tickets about a specific feature, page, or content asset, OpenText Core Experience Insights can provide usage analytics that show where customers are struggling, which content is underperforming, and where drop-offs occur. This gives Zendesk agents and support managers context beyond the ticket itself.

• Identify which content pages or application workflows generate the most support requests
• Prioritize fixes based on actual user behavior rather than anecdotal feedback
• Help agents respond with more accurate troubleshooting guidance

Business value: Faster resolution, fewer repeat tickets, and better alignment between support and product or content teams.

2. Trigger Zendesk Tickets from Low Engagement or Adoption Signals

Data flow: OpenText Core Experience Insights to Zendesk

When OpenText Core Experience Insights detects low adoption, high abandonment, or unusual interaction patterns for a critical content journey or application workflow, it can automatically create a Zendesk ticket for the appropriate team. This is useful for onboarding journeys, self-service portals, knowledge content, or customer-facing applications.

• Create tickets when a key help article is not being used or is failing to resolve issues
• Alert support operations when a workflow shows repeated abandonment
• Route issues to content owners, product teams, or customer success teams

Business value: Proactive issue management and earlier intervention before customer dissatisfaction grows.

3. Enrich Zendesk Tickets with User Journey and Engagement Context

Data flow: OpenText Core Experience Insights to Zendesk

When a customer submits a Zendesk ticket, the integration can attach relevant engagement data such as recent content views, search behavior, page visits, or application interaction history. This gives agents a clearer picture of what the customer tried before contacting support.

• Show the last viewed help articles or product pages in the ticket sidebar
• Provide context on failed self-service attempts
• Help agents avoid asking customers to repeat steps they already completed

Business value: Improved first-contact resolution and a more personalized support experience.

4. Measure the Effectiveness of Zendesk Knowledge Content

Data flow: Zendesk to OpenText Core Experience Insights

Zendesk knowledge base articles and help content can be tracked in OpenText Core Experience Insights to measure how customers interact with support content. Support leaders can see which articles are viewed, which ones lead to ticket deflection, and where users still escalate to agents after reading an article.

• Track article engagement, bounce rates, and completion rates
• Identify content gaps where users still need live support
• Optimize article structure, search terms, and placement in the support journey

Business value: Better self-service performance and reduced support volume.

5. Identify High-Friction Customer Journeys and Feed Them into Support Operations

Data flow: Bi-directional

OpenText Core Experience Insights can detect where users struggle in digital journeys, while Zendesk can capture the resulting support demand. Together, the platforms can highlight the exact points where poor content, confusing workflows, or missing guidance create avoidable service issues.

• Compare support ticket spikes with interaction drop-off points
• Use support trends to validate UX or content redesign priorities
• Share insights across support, digital experience, and content teams

Business value: Cross-functional visibility into root causes and more effective experience improvements.

6. Route Support Cases Based on Content or Journey Context

Data flow: OpenText Core Experience Insights to Zendesk

When a customer contacts support, the integration can classify the issue based on the content or application area they interacted with most recently. Zendesk can then route the ticket to the right queue, such as billing, onboarding, technical support, or content operations.

• Use interaction history to improve ticket categorization
• Assign cases to specialized teams faster
• Reduce manual triage and misrouted tickets

Business value: Lower handling time and more accurate case assignment.

7. Support Continuous Improvement Programs with Shared Analytics

Data flow: Bi-directional

OpenText Core Experience Insights and Zendesk can be combined to support continuous improvement initiatives across customer service, digital content, and application experience. Support trends from Zendesk can be matched with engagement analytics from OpenText Core Experience Insights to prioritize improvements with the highest operational impact.

• Use ticket trends to prioritize content updates and workflow changes
• Measure whether experience improvements reduce support contacts over time
• Provide leadership with a unified view of service and engagement performance

Business value: Data-driven prioritization and measurable improvement in customer experience.

Overall, integrating OpenText Core Experience Insights with Zendesk helps organizations connect what customers do with what they ask for. That creates a stronger feedback loop between digital experience teams and support operations, improving service efficiency, content effectiveness, and customer satisfaction.