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INSIGHT · JOB-TO-BE-DONE

COO — operationalising RTLS, RFID and IoT.

For a COO, an RTLS, RFID or IoT programme has to move an operational KPI — cycle time, OEE, fill rate, dock-to-stock, OTIF, length-of-stay.

It also has to land in an operating environment where front-line operators actually use it, sustainably, after the implementation team leaves. This insight covers how we think about both halves of that job with COO clients.

COOOEE · AdoptionDECISION CRITERIAOEE lift+8 ppWIP turn+30%Cycle time-15%

The COO's underlying question

Not "will the technology work?" — but "will the technology, integrated into our operations, deliver a measurable improvement in the operational KPIs that I'm accountable for,

that holds after the project team leaves?" Most failed RTLS programmes at the COO level fail not because the technology didn't work, but because the operational and adoption work was treated as secondary.

The COO should require operational KPI alignment, adoption design and integration architecture as scoping inputs — not as afterthoughts.

KPI alignment — the gating question

Every RTLS deployment should be scoped against 1–3 specific operational KPIs the COO already tracks. Manufacturing: OEE, WIP turn, cycle time variance, first-pass yield. Logistics: dock-to-stock, OTIF, inventory accuracy, throughput per labour hour.

Healthcare: average length of stay, OR turnover time, hand-hygiene compliance rate, asset utilisation. If the deployment can't be tied to a tracked operational KPI, it shouldn't proceed.

This filter alone kills 30–40% of typical RTLS business cases at the diagnostic stage — usually because the underlying use case was speculative.

Adoption design — the second hardest problem

Operations leaders know that technology deployments fail at adoption more often than at deployment. RTLS adoption depends on three things. Workflow integration: the system has to make a specific operator's job easier or required, not just produce reports for management.

Trust: front-line operators need to trust the data, which means visible accuracy and reliable response when they flag errors.

Time-to-utility: operators have to see benefit within their first week of using the system, not their first quarter. We design for adoption in stage 1 alongside the technical architecture.

Change management — the third hardest problem

Process change is the leverage point that turns RTLS data into operational KPI improvement. Without process change, the data is reporting overhead, not value.

The COO should require a documented process-change plan as part of the deployment scope, covering: new standard work, decision rights at each level, escalation paths, and what stops being done because the system replaces it.

The system is the smaller half of the change; the process change is the larger half.

Integration with operations systems

RTLS data has to flow into systems operators already use — MES on the shop floor, WMS at the dock, EMR at the bedside, EAM for asset management. Standalone RTLS dashboards rarely get adopted; integrated alerts in the operator's existing tooling get adopted.

The COO should require integration into operations systems as a deployment gate, not as a downstream feature. See /integrations for our enterprise integration patterns.

Programme governance — under whose ownership

RTLS programmes that fail at the COO level often fail at governance — they're owned by IT or by an external consultant rather than by operations. The COO should own the programme governance, with IT and finance as supporting functions.

Steering committee should have operational metrics on every agenda, not just project milestones. We work as independent programme advisors to COOs in this model. See /for-coo for the dedicated COO persona page.

FAQ

Frequently asked questions

How do we tie an RTLS deployment to OEE?

Specifically, by measuring which OEE component the programme is supposed to move (availability, performance, quality) and which root cause it addresses. WIP visibility improves performance; tool location improves availability. We design the OEE-attribution model in stage 1.

How long does adoption take in practice?

Operator-level adoption: 4–12 weeks with focused change management; longer without. Management-level decision-making adoption: 8–24 weeks. We design for both timeframes in the implementation plan.

Should operations own the programme or IT?

Operations should own outcomes and governance; IT should own platform delivery and integration. Joint accountability with separated decision rights works best in practice.

What's the role of the system integrator vs the operations team?

The system integrator delivers the technical deployment; the operations team delivers the process change and adoption. Programmes fail when these roles get confused — we design the RACI explicitly in stage 1.

How do we handle operator resistance?

Resistance is usually a signal that workflow integration is wrong — operators rationally resist systems that add work without value. We diagnose the workflow issue and redesign rather than "managing" the resistance.

Ready to scope it?

30 minutes on the use case, the technology and the numbers.

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