How Software Automatically Filters Employee Survey Results Based on Management Roles

A system that automatically restricts who can see specific employee survey results by mapping organizational reporting lines through a digital object graph.

What it covers

This patent describes a system for managing employee surveys in large organizations where managers need to see feedback from their direct reports without seeing everyone else's data. It uses an object graph—a database structure that maps relationships between employees—to automatically determine which survey responses a manager (the delegate) is allowed to view. When a manager requests survey data, the system traverses this graph to identify their specific constituents and filters out all other responses. It also includes an automated trigger that can initiate workflows, such as sending an alert, if a specific type of survey response is detected.

What it doesn't cover

• —Does not cover manual filtering of survey data by human administrators.
• —Does not cover systems that lack a defined object graph for mapping organizational roles.
• —Does not cover survey systems that provide raw, unfiltered data to all authorized users.
• —Does not cover non-organizational survey contexts like public opinion polling.

The clever bit

The system treats the organizational hierarchy as a dynamic object graph, allowing the survey access rules to update automatically whenever an employee's role or status changes in the company database.

Why it matters

In large corporations, maintaining survey anonymity while providing actionable insights to managers is a massive operational challenge. This technology automates the complex permission logic required to ensure managers only see data relevant to their specific teams, preventing data leaks and maintaining employee trust in feedback processes.

Real-world examples

• 1.Enterprise HR software platforms
• 2.Employee engagement and pulse survey tools
• 3.Internal corporate performance management systems