The Service Terminal Pilot Playbook

Name the workflow, users, placement, approved targets, observation period, technical owner, operating sponsor, and decision date before installation. The objective should be narrow enough to evaluate and important enough to matter.

A strong example is: determine whether one managed terminal near a high-travel service zone reduces workstation-related trips and shortens selected repair-order transitions during a four-week observation window.

The service sponsor owns the operating question and employee participation. IT owns technical acceptance, target authorization, network policy, certificates, endpoint review, maintenance, and removal. A named measurement owner preserves definitions and records exceptions.

Employees should know what is being observed, how feedback is collected, and that speed cannot override repair quality, documentation, credential policy, or safety.

Review connection direction, target allowlisting, certificate policy, local username history, logs, network profiles, optional telemetry state, audio behavior, session termination, compatibility retry behavior, kiosk controls, update ownership, and the removal checklist.

Orientation should be brief and role-specific: select the correct target, enter credentials locally, recognize the active session, disconnect cleanly, report failures, and use the existing dealership escalation process.

A baseline can combine direct observation, timestamp review, structured employee logs, and existing operational reports. Each method has limits. Direct observation captures movement but can influence behavior; system timestamps capture elapsed time but may not reveal why a transition waited.

Do not backfill a baseline from memory after the pilot starts. Record unusual staffing, volume, parts availability, network incidents, training, weather, or shop events that could distort comparison.

Use the same event definitions, repair-order population, roles, and operating windows in both periods. Record adoption by role and note volume, staffing, scheduling, repair mix, parts availability, customer response, network incidents, training, and other conditions that could change the comparison.

Employee feedback can describe mental backlog and context reconstruction, but it should not be converted into a medical claim or an unsupported financial value. Documentation corrections and missing-detail incidents provide a separate quality signal.

Track terminal usage, target selected, connection result, workstation-related trips, estimated walking minutes, repair-order transitions, employee utilization where available, hours turned where measured, late-day backlog, support incidents, and user feedback.

Do not attribute an operating change to Service Terminal when demand, staffing, parts, authorization, system availability, or another process change offers a stronger explanation. Record exceptions adjacent to the affected day.

Do not attribute unrelated changes in volume, staffing, parts availability, scheduling, customer response, or repair mix entirely to Service Terminal. Separate physical access-time savings from documentation timing and from the next role's response.

The example below is deliberately generic. Dealership volume cycles, payroll periods, manufacturer programs, construction, staffing changes, and seasonal demand may require a different duration.

Hold short checkpoint reviews, but avoid changing placement, target configuration, definitions, and user group simultaneously. Every change weakens comparability unless it is recorded as a new phase.

Define thresholds before seeing the outcome. A pilot may show useful operating movement but fail technical acceptance, or it may operate reliably without addressing the measured bottleneck. Both are valid results.

The issue register should separate product defect, environment, network, target workstation, credential, training, placement, and process causes. This prevents a general failure count from concealing the action required.

Expand only when the evidence supports a repeatable placement and user pattern. Revise when the bottleneck is real but placement, target selection, training, or measurement needs correction. Extend only for a specific unanswered question. Remove when the hypothesis or control requirements are not met.

Archive the charter, baseline, configuration record, issue register, scorecard, user feedback, calculation inputs, and signed decision. These artifacts create a credible basis for later comparison or corporate review.