• 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

  1. 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)
  2. 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)
  3. 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
  4. 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
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