Customer universe
- Hospitals and healthcare establishments
- Private doctors and clinical practices
- Healthcare professionals and device users
- Country-level customers and partners
Customer experience ecosystem
The journey was bigger than one support workflow.
The customer experience crossed customer types, digital and human channels, operational service flows, repair policies, logistics constraints, data quality issues and country-level partner interactions. I had to rebuild the real journey before the organization could decide what to fix.
Access channels
- Regional managers and direct contact
- E-commerce and digital platforms
- Customer service and support channels
- NPS and transactional survey feedback
Operational flows
- Orders, delivery and shipping delays
- Installation and setup reporting
- Loan policies when equipment is damaged
- Repair, quality control and return loops
Systems and data
- SAP and transactional data
- Digital platform activity
- Service reports and setup reports
- Incomplete data, assumptions and KPI design
Operating idea: I reconstructed the customer journey across people, channels, systems and operational steps so the organization could reliably diagnose what was damaging trust.
NPS to operational diagnosis
From score color to workflow action.
The NPS was not treated as a standalone metric. I used it as a diagnostic lens to connect customer sentiment with journey steps, operational root causes, data assumptions, KPIs and action ownership.
RedCustomer trust at risk. Critical pain point requiring root-cause analysis and immediate operating attention.
OrangeFriction visible. Delays, handoffs or unclear ownership created dissatisfaction that had to be traced.
YellowNeutral experience. Service worked, but the causes of fragile satisfaction had to be understood before they became dissatisfaction.
Light greenPositive experience. The process worked and gave evidence of practices that could be repeated.
Dark greenStrong advocacy. The experience was reliable enough to generate recommendation and reveal scalable service behaviors.
Journey zone
Customer signal
Operational diagnosis
KPI / action logic
Order and delivery
Delay perception, unclear status, delivery frustration.
Shipping delays, SAP status gaps, unclear handoff between commercial and operations teams.
Delivery lead time, delay reason, communication quality.
Setup and first use
Customer receives product but experience depends on setup quality.
Setup reporting, installation feedback and user readiness needed stronger traceability.
Setup completion, report quality, first-use friction.
Support and escalation
Issue not solved fast enough or owner unclear.
Support, service and regional teams needed clearer escalation rules and ownership.
Time to qualify, escalation age, action owner.
Repair and loan policy
Customer confidence drops when equipment availability is uncertain.
Repair turnaround, loan device policy, quality control and partner coordination had to be readable.
Repair cycle time, loan availability, return status.
Relationship and follow-up
Positive experience improves when feedback is acknowledged and acted on.
Customer committees, follow-up actions and management decisions created trust recovery.
NPS movement, action closure, customer feedback quality.
Measured signal
What changed.
Compact proof points showing the measurable customer impact once I connected customer signals to operational causes and decision routines.
+13points of Net Promoter Score improvement
5+customer-facing functions aligned around the journey
VOCqualitative and quantitative feedback converted into action
KPIoperational indicators created from workflow steps to strategic follow-up
What I concretely did
Built the bridge between customer reality, incomplete data and operational change.
The work required more than customer interviews. I reconstructed the real journey, chose and challenged assumptions when data was incomplete, translated pain points into workflow diagnostics and created indicators usable by operational teams and leadership.
Execution focus: move from “customers are dissatisfied” to “I can identify this touchpoint, this delay, this missing status, this policy, this owner and this KPI that need to change.”
What this proves
Customer operations leadership through evidence and execution.
This proof matters because it shows how I turned customer satisfaction into an operating system, not a communication campaign or survey exercise.
Transferable pattern: relevant when a company has NPS and feedback data, but value depends on linking it to touchpoints, operational root causes, ownership, KPIs and management decisions.
Related thinking
The operating logic behind the case.
Each proof page links back to the themes it supports.
Conversation fit
Relevant when customer pain needs an operating rhythm.
Use this case as a reference point for service operations, customer success, CX transformation, customer journey governance or operating model mandates where satisfaction must translate into execution.