Why Frontline Interviews Come First
A technician's or line operator's unprompted reaction is one of the strongest predictors of adoption at network scale, so an operator Sprint hears the frontline before management.
By Harinderpal Hanspal on February 2026. Updated October 2026
Ask a maintenance technician or line operator about an initiative before they have heard management's framing, and before they can guess the answer you want. In our operator engagements, that unprompted reaction is one of the strongest predictors of adoption at network scale.
Management enthusiasm without frontline buy-in predicts a failed rollout just as reliably. The people who run the system every day know things about their workflow, equipment and incentives that no business case captures. In KPMG's 2026 survey of 258 industrial manufacturing technology leaders, 89% agreed that managing AI agents will become a critical workplace skill within five years. Systems are moving toward the frontline, and adoption gets decided there.
With a manager in the room, you collect a performance of alignment, shaped by what is safe to say in front of the person who writes the schedule. People behave predictably in an unequal room, and nobody is lying. So the method requires conversations at several sites, without management present, scored on the same rubric as every other interview. Problem confirmation needs separate confirmation from the frontline and from management, and management confirmation alone rates Benchmarked.
A strong frontline signal gives the deployment case the evidence most network business cases lack. A weak one rates change management readiness Not met. Found before the capital commitment, that is solvable. Found in month nine of a stalled rollout, it is expensive.
Go deeper: Too successful to stop, too unproven to scale sets out the interview conditions, For operators covers the plant-level questions, and At the inflection covers the decision before a network rollout.