Join 40,000+ users of the #1 browser extension for customer support teams.

Why build decision trees with PixieBrix?

Seamless Browser Integration

• PixieBrix runs directly in the browser, meaning agents don’t have to switch between multiple applications.
• Decision trees can be overlaid on CRM systems (Salesforce, Zendesk, HubSpot), internal portals, or any web-based tool, streamlining workflows.

AI-Enhanced Guidance

• Combine decision trees with AI-powered suggestions and automation to optimize responses.
• AI can suggest the next best action, auto-fill fields, and provide real-time recommendations.

No-Code Customization

• Drag-and-drop builder allows non-technical teams to create and update decision trees without engineering support.
• Modify workflows on the fly to adapt to new processes, policies, or compliance requirements.

Automated Actions & Integrations

• Decision trees in PixieBrix can trigger automated actions, such as:
  • Logging tickets in Zendesk
  • Updating Salesforce records
  • Sending follow-up emails or surveys
  • Surfacing relevant knowledge base articles

Improved Agent Productivity

• Reduces cognitive load by providing real-time, guided assistance.
• Minimizes the need for manual searches and repetitive copy-pasting.

Real-Time Analytics & Optimization

• Track decision paths, resolution times, and agent interactions to identify areas for improvement.
• A/B test different decision tree workflows to optimize for faster resolutions and better CX.

Self-Service & Chatbot Integration

• Decision trees built in PixieBrix can power AI chatbots and self-service portals to deflect calls before reaching live agents.
• Helps customers resolve simple issues faster, reducing call volumes.

Scalable & Cost-Effective

• No need for expensive custom development—teams can rapidly build and deploy decision trees at scale.
• Supports both small teams and enterprise-scale call centers.

‍

Why Should An IT Help Desk Use Decision Trees?

Procedure

Decision trees enforce standardized procedures for common issues. This consistency ensures that all IT professionals communicate in a uniform manner, reducing the risk of conflicting or confusing responses to similar problems.

Logical Path

Decision trees guide IT professionals through a logical pathway to troubleshoot and resolve issues systematically. This approach streamlines communication by providing a clear direction for identifying and addressing problems.

Fast Resolution

Decision trees empower frontline support staff to make decisions efficiently. This results in faster response times, reducing delays in providing solutions to end-users and improving overall communication efficiency.

Accessible Info

Decision trees provide user-friendly guidance to end-users, helping them navigate through troubleshooting steps on their own. This self-service approach improves communication by empowering users to resolve simple issues independently. They can also be designed to communicate solutions in user-friendly language, avoiding unnecessary technical jargon. This makes it easier for non-technical users to understand the steps they need to take to address their concerns.

Automation

Decision trees can be integrated with ticketing systems, automating the process of creating support tickets based on the nature of the issue. This ensures that IT professionals receive detailed information, facilitating smoother communication during issue resolution.

Implementing Decision Trees Into Error Resolution

Identify Common Employee Errors

- Begin by identifying common errors or issues that employees frequently encounter. This may include software glitches, access permissions, connectivity problems, or other recurring issues. Understanding the common challenges will be the foundation for building your decision tree.

Map Out Decision Tree Structure

Design the decision tree structure based on the identified errors. Each decision node in the tree represents a specific question or action point that guides the IT professional through the troubleshooting process. Consider the following elements:

1. Questions: Pose clear and concise questions that help in narrowing down the issue.
2. Decisions: Provide actionable decisions or steps based on the responses to each question.
3. Endpoints: Define resolution points or recommendations based on the final path taken in the decision tree.

Create Decision Tree Content

- Populate the decision tree with content that guides IT professionals through the troubleshooting process. Ensure that the language used is clear and understandable. Include detailed steps for each decision point to help resolve the identified errors effectively.

Customize for Different Scenarios

- Consider different scenarios and customize the decision tree to address various error types or specific departments within the organization. Tailor the decision tree paths to accommodate different software, hardware, or process-related errors that may arise.

Integrate with Ticketing System

- Integrate the decision tree with your organization's ticketing system. This integration can automate the creation of support tickets based on the information gathered during the decision tree process. This ensures that the IT team can track and prioritize issues efficiently.

Solicit Feedback and Iteratively Improve

- Encourage IT professionals to provide feedback on the decision tree's effectiveness. Regularly review and update the decision tree based on feedback and evolving issues. This iterative improvement process ensures that the decision tree remains a dynamic and valuable tool for employee error resolution.

Monitor and Evaluate

- Monitor the usage of the decision tree and evaluate its impact on error resolution times. Analyze feedback from IT professionals and end-users to identify areas for further improvement. Adjust the decision tree as needed to enhance its effectiveness.

‍