The Six Pillars: Time Study’s Framework for Responsible Enterprise Innovation

Time Study’s Six Pillars

A responsible approach to advancing enterprise data systems while maintaining accuracy, defensibility, and accountability.

In 2025, during our Client Summit in New York City, we shared the Six Pillars framework with our clients. It reflects a long-standing goal that has guided our work from the beginning: to tell an accurate story of how time is spent at work without burdening the people required to report it.

The Six Pillars is Time Study’s framework for delivering enterprise-grade data solutions, with time intelligence as the primary application. It defines the core functional domains required to support accurate, defensible, and scalable time data across complex organizations. The framework is the result of years of working closely with enterprise clients as their needs, workflows, and requirements evolved over time.

What the Six Pillars Represent

Enterprise time data extends well beyond reporting. It touches operational processes, technical systems, and governance requirements, often across multiple teams and platforms. The Six Pillars framework reflects how we design the platform to address that complexity consistently.

Together, the pillars provide a clear structure for moving time data from collection to insight while maintaining accuracy, compliance, and scalability. Each pillar stands on its own, but they are designed to work together without forcing organizations into a rigid path forward.

What Innovation at Enterprise Scale Must Get Right

• Defining and enforcing clear rules

• Reducing friction through smart, time-saving tools

• Making relevant insights accessible to the right stakeholders

• Proactively ensuring defensibility

• Enabling interoperability across the systems organizations already rely on

• Leveraging advanced technologies, where and when necessary, to support automation and analysis

Systems that are Built to Evolve

The Six Pillars provide a clear structure for evolving time study workflows over time, ensuring foundational requirements are addressed before organizations take the next step. Collectively, they define how we approach enterprise time data at Time Study, offering structure without rigidity and a foundation that supports long-term use as organizations grow and change.

While developed through years of working with time-based data, the principles behind the framework apply to many enterprise data initiatives that require accuracy, defensibility, and scale.