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  • On demand webinar | 1 hour

The Labor Blind Spot: Taking Control of Direct, Indirect, and Gap Time

Join Tyler Minnis, Solutions Engineer at Smart Access, for a practical conversation on how operators can build a complete view of direct, indirect, and gap time — and turn that visibility into control.

Speakers

John White

Founder, Smart Access

John works with enterprise operators to improve labor visibility, process adherence, coaching accountability, and frontline performance using AI-powered operational workflows.

Tyler Minnis

Solutions Engineer,
Smart Access

Tyler works with operators of all sizes to translate operational processes into system configurations and frontline programs, supporting data validation, working through implementation complexity, and helping frontline leaders use labor information in daily execution.

Overview

Led by John White from Smart Access and featuring Tyler Minnis from the Smart Access team, this session will break down the practical realities of labor management implementation. The conversation will explore how to define labor categories, configure workflows, validate data, prepare leaders, and introduce performance visibility in a way that supports—not disrupts—operations.

What You’ll Learn

  • Why labor management implementations need to account for more than direct productive time
  • How to distinguish direct, indirect, and gap time in a way that operators can understand and maintain
  • What gap time can reveal about missing transactions, workflow issues, system configuration, and operational interruptions
  • How to build an activity structure that provides useful visibility without becoming overly complex
  • Why data validation and operational context are essential before introducing performance accountability
  • How to prepare supervisors and frontline leaders to interpret labor signals appropriately
  • Common implementation mistakes that reduce trust in labor reporting
  • How to move from initial implementation to a sustainable daily management process
  • Where AI-powered workflows can help leaders investigate exceptions, prioritize follow-up, and close execution gaps

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