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Webinar

Notes from the field: best practices designing field data processes

Fieldwork is demanding, expensive, and full of unforeseen challenges. Achieving an optimized, efficient workflow involves iterative stages, trial and error, and focused testing. These efforts balance trade-offs to capture the necessary data. Join Coleman McCormick, in collaboration with Geo Week, as he shares best practices for designing field data processes.

In this session, we addressed a field project’s essential tasks through various phases. We examined planning and prototyping (before), collection (during), and reporting (after). Additionally, we identified the top five best practices for each phase of designing field data processes.

What we covered:

  • Overview of jobs and building solutions, designing projects, and working with teams
  • Fieldwork process and its feedback loops
  • Pitfalls and traps
  • Phases of field workflow, tips, and best practices

Speaker: Coleman McCormick, VP of Product Development at Fulcrum

Coleman McCormick has been building software products for 15 years, at the intersection of GIS, workforce optimization, and field inspection management. Coleman heads up Fulcrum’s product design team, advancing our technology and working with customers to build best-in-class tools for managing their field workflows and processes. Before Fulcrum, Coleman spent years working in the civil engineering and consulting space where he applied GIS technology in utilities and construction projects.

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Best practices designing field data processes