Working in the field is demanding, expensive, an chock full of unknowns you encounter along the way. That means getting to a highly optimized and efficient workflow is the result of stages of iteration, trial and error, and directed testing to balance trade-offs toward getting the data you need.
In this session we’ll look at addressing a field project’s “jobs to be done” through the lenses of planning and prototyping (before), collection (during), and reporting (after), with the top 5 best practices for each phase.
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