Raygun

Diagnose Customer Issues with Complete Environmental Context

Retrieve customer-specific session data, environment details, and error history from Raygun to diagnose whether issues are isolated, environment-specific, or widespread.

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Painpoint

When customers report problems, support teams struggle to gather enough context—browser versions, device types, geographic location, and deployment versions—to accurately diagnose whether issues are isolated to specific configurations or affect broader user segments.

Autohive solution

Autohive's AI assistants retrieve complete customer details, session histories, and environment data from Raygun, enabling precise diagnosis of whether issues are customer-specific, environment-dependent, or systemic problems.

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The Challenge

Customer-reported issues often lack the technical context needed for accurate diagnosis:

  • Incomplete bug reports: Customers describe symptoms (“the page is broken”) without providing browser version, device type, operating system, or reproduction steps
  • Support team limitations: First-line support lacks direct access to technical diagnostics and must escalate to engineering, creating delays
  • Environment-specific bugs: Issues that only affect specific browsers, devices, or geographic regions are difficult to identify without systematic environment analysis
  • Customer frustration: Back-and-forth communication (“What browser are you using?”) frustrates customers and slows resolution

The Autohive Solution

Autohive’s Raygun integration empowers AI assistants to retrieve comprehensive customer and session data, providing complete environmental context for precise issue diagnosis.

Customer Profile Retrieval

The assistant retrieves customer details from Raygun, including user demographics, geographic location, and associated session history, building a complete picture of the user’s experience.

Session and Environment Analysis

By accessing session data, the assistant identifies the customer’s browser, operating system, device type, deployment version, and page navigation patterns—all the context needed to reproduce and diagnose the issue.

Error Correlation

The assistant correlates the customer’s specific error instances with broader error groups to determine whether the issue is isolated to this user’s configuration or affects multiple customers with similar environments.

Benefits

  • Faster Support Resolution - Eliminate diagnostic guesswork by providing support teams with complete technical context upfront
  • Environment-Specific Bug Detection - Quickly identify issues affecting specific browsers, devices, or regions
  • Reduced Customer Friction - Minimize back-and-forth communication by gathering all necessary context automatically
  • Improved First-Contact Resolution - Empower support teams to resolve technical issues without escalating to engineering

How It Works

  1. Customer Reports Issue - User contacts support with a problem description
  2. Automatic Context Retrieval - AI assistant retrieves customer profile, sessions, and environment data from Raygun
  3. Environment Analysis - Assistant analyzes browser, OS, device, location, and deployment version for diagnostic clues
  4. Diagnosis & Response - Support team receives complete context to determine if the issue is isolated, environment-specific, or widespread

Getting Started

  1. Sign up at app.autohive.com
  2. Connect your Raygun integration from the marketplace
  3. Configure your AI assistant to support customer issue diagnosis
  4. Provide faster, more accurate technical support with complete environmental context

Learn more about the Raygun integration on the Autohive marketplace.

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