- Healthcare
From Complaints to Measurable CX Gains
A large healthcare plan provider wanted to improve customer experience without adding operational complexity.
Challenge
Healthcare plan service teams were dealing with:
- Recurring complaint themes (same issues coming back week after week) with no clear prioritization of what to fix first
- Inconsistent interactions across agents, leading to avoidable dissatisfaction
- Operational pain points like unclear handoffs, fragmented knowledge, and uncertainty in “next steps”
- CSAT stuck in the low 60s, fluctuating with the same unresolved drivers
Strategy
We used Atento AI Studio to connect three elements into one operating loop: insights → action → measurement.
The AI Studio process
- Identify opportunities (where to focus)
- Clustered and ranked customer complaints to isolate the highest-impact drivers of dissatisfaction
- Split opportunities into two action tracks: People (agent behaviors) and Process (operational friction)
- Create prompts (to go deeper and get specificity)
- Built targeted prompts to extract root causes behind complaint categories
- Generated recommendations tied to real interaction patterns and operational gaps
- Produced outputs in operator-ready language (clear, practical, easy to implement)
- Translate insights into operational actions (make it usable)
- Converted findings into frontline protocols, training topics, knowledge updates, and process changes
- Created a repeatable playbook so teams could apply the same method to new complaint spikes
- Accompany applicability and results (ensure adoption and impact)
- Partnered with operations to validate feasibility, implement changes, and track adherence
- Monitored early performance signals and refined prompts/actions based on what moved the numbers
Highlights
What the client received was not a report, but a practical action system.
People (frontline execution)
- Targeted coaching and training tied to the biggest complaint drivers
- Standardized service protocols (opening, investigation, confirmation, closure) to reduce variability
- Feedback loops using real interaction examples to reinforce behaviors that improve trust
- Support guidance for sensitive conversations to reduce escalation and frustration
Process (operational consistency)
- Updated knowledge base / support materials based on customer language and recurring confusion
- Clearer inter-area communication routines to reduce handoff failures
- Restructured operational playbooks so agents find “next best action” faster
- FAQ creation driven by real complaint themes, not assumptions
Results
- CSAT increased from the low 60s to the mid-70s
- That shift reflects a ~19% improvement (roughly a +12-point gain), driven by:
- More consistent agent behaviors (less variability, fewer “missed” steps)
- Clearer answers and better ownership of the request
- Faster resolution paths enabled by updated knowledge and workflows
Share