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.

The Challenge of Employee Onboarding in IT

Employee onboarding involves navigating through complex systems, understanding various protocols, and addressing a myriad of potential issues. Traditional onboarding processes can be time-consuming, leading to delays in productivity and potential frustration for both IT teams and new employees.

A decision tree can enhance employee learning activities. Tree-based methods offer stability, high accuracy, and easy interpretation, empowering predictive models. With many different courses of action to choose from, employees can make better decisions more easily. Decision trees act as a tool for knowledge transfer, enabling organizations to systematically capture the expertise of seasoned IT professionals. This reduces reliance on specific experts during onboarding, thus making the process more scalable and less dependent on the knowledge of individual team members.

Why Should IT Departments Use Decision Trees?

Simplifying Complex Workflows‍

Decision trees simplify complex workflows into a series of basic, binary decisions. This approach allows IT professionals to guide new hires through the onboarding process in a step-by-step manner, ensuring their smooth transition into their roles.

Tailored Onboarding

‍Decision trees can be tailored to the unique requirements of various roles within an organization. They can offer role-specific guidance for developers, project managers, or marketing specialists, thus making the onboarding process more pertinent and efficient.

Issue Resolution

‍New employees frequently experience problems that can disrupt their onboarding. Using decision trees, IT support can quickly identify and fix these issues by following a logical path. This approach not only minimizes downtime but also improves the overall onboarding experience.

Consistency

‍Decision trees standardize the onboarding process across the organization, ensuring a consistent onboarding experience for every new hire. IT professionals can adhere to standardized processes, reducing the likelihood of errors and ensuring that all employees receive the same level of support and guidance.

User Friendly

Decision tree platforms typically have user-friendly interfaces. This feature is essential for IT professionals who require swift access to and the ability to update decision trees. An intuitive interface helps keep decision trees dynamic and adaptable to evolving onboarding needs.