01 / DEFINITION

Connecting discovery, building, and operations feedback into one line

The FDE team stays close to frontline users and production environments, continuously observing blockers, establishing baselines, deploying interventions, and verifying results. It is not an indefinite "figure it out as we go"; every loop should leave a record of hypotheses, changes, measurements, and dispositions.

Applicable signals: the business value of the problem has been confirmed, but requirements documents cannot express in advance the exceptions, work habits, data quality, or cross-team constraints.

02 / BOUNDARY

The difference from on-site outsourcing lies in accountability, not location

  • On-site outsourcing typically provides capacity by role, hours, task queues, or client instructions.
  • Traditional projects typically follow pre-agreed scope, milestones, and feature acceptance.
  • FDE closes the loop around business outcomes, while also taking on discovery, engineering, deployment, and the dissolution of adoption friction.
  • Exit conditions On-site dependency should decrease as the system stabilizes, knowledge transfers, and internal capability forms.

The same team can work in an office or on-site; "having someone on-site" alone does not prove that FDE was adopted.

03 / ACCEPTANCE

Accepting an evidence chain from baseline to outcome

  • Operational baseline Fix cycles, waits, rework, errors, or risk exposure before the intervention.
  • Iteration ledger Each change records the hypothesis, target group, observation window, results, and next decision.
  • Production controls Permissions, monitoring, manual takeover, rollback, and incident response are delivered alongside the system.
  • Adoption evidence Whether real users continue to use it, how exceptions are handled, and whether old processes exit safely.
  • Capability transfer The internal team can understand, operate, modify, and shut down the system without relying on permanent on-site presence.

04 / BUYER QUESTIONS

Preventing the renaming of labor leasing as FDE

  • What outcome is the team meant to improve, and where is the current baseline?
  • How do on-site findings enter engineering priorities, rather than becoming unbounded requirements?
  • Who has the authority to change processes, data, or permissions, and who accepts residual risk?
  • If outcomes do not improve, what are the conditions for stopping, resetting, or converting to ordinary development?
  • When will on-site dependency be reduced, and how will knowledge and operational responsibility be handed over?