A fast-growing European neobank was experiencing declining customer satisfaction as volumes increased. In a fully digital model, this trend directly impacted retention, trust, and the organization’s ability to sustain growth without degrading user experience.
The intervention focused on redesigning the support model around a clear objective: delivering fast, consistent, and scalable resolution. The goal was not only to reduce response times, but to restore a level of service quality aligned with the expectations of a leading digital player.
Context
The neobank operated across multiple European markets with a value proposition centered on digital fluidity, simplicity, and speed. In this environment, support quality was not a peripheral function but a core component of the product, brand promise, and user trust.
- 1.8 million user base
- Presence across 5 European markets
- Fully digital interaction model
- Strategic objective: restore satisfaction levels compatible with hypergrowth
Diagnosis
The diagnostic showed that the support organization had absorbed growth without sufficiently evolving its operating model. Teams were handling increasing volumes within an insufficiently structured framework, leading to long response times, inconsistent quality, and repeated contacts.
- Response times misaligned with digital user expectations
- Inconsistent response quality across teams and expertise levels
- High escalation rates due to limited first contact resolution
- Overly reactive support model with limited anticipation and scalability
- Inconsistent standards across teams and markets
- Limited control over high-impact customer journeys
Key indicators before intervention:
- CSAT at 67%
- First response time of 48h
- Escalation rate of 18%
- Repeat contact rate of 22%
Approach
The intervention redesigned support around resolution quality, consistency, and journey control. Priority was given to the highest-impact pain points affecting satisfaction, trust, and retention.
- Redesign of support journeys for key dissatisfaction drivers
- Implementation of a strengthened first contact resolution model
- Creation of a unified knowledge base and aligned response standards
- Introduction of KPIs balancing resolution quality and speed
- Reduction of friction points driving avoidable escalations and recontacts
- Strengthening of the organization’s ability to scale without degrading quality
Proactive communication mechanisms were also deployed to reduce avoidable contacts, streamline the in-app experience, and reposition support as a driver of trust and retention rather than a volume-handling function.
Results
| KPI | Before | After | Impact |
|---|---|---|---|
| CSAT | 67% | 90% | +23 pts |
| First response time | 48h | 8h | -83% |
| Escalation rate | 18% | 6% | -67% |
| Repeat contact rate | 22% | 9% | -59% |
Beyond improving support performance, the neobank restored a level of trust aligned with its digital promise and established a more robust execution foundation to sustain future growth without degrading user experience.
Key Insights
- In a neobank, support quality directly shapes product and brand perception
- Satisfaction improves when resolution becomes the core operating principle
- Speed only creates value when paired with high-quality resolution
- Structured support experience is a direct lever for retention and trust
- Support journeys must be designed with the same rigor as product journeys