CX Manager
Build CX dashboards and reporting
What You Do Today
Create and maintain dashboards that make CX data accessible to stakeholders — NPS trends, journey metrics, verbatim highlights, and closed-loop performance.
AI That Applies
Automated CX dashboards — AI generates real-time dashboards with anomaly detection and automated narrative insights.
Technologies
How It Works
The system aggregates data from multiple operational systems into a unified analytical layer. The analytics engine aggregates data across sources, applies statistical analysis to identify significant patterns and outliers, and presents the results through visualizations that highlight what needs attention. The output — real-time dashboards with anomaly detection and automated narrative insights — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
Dashboards update in real-time with AI-generated commentary: 'NPS dropped 3 points this week driven by claims experience in the Southeast region.'
What Stays
Designing dashboards that tell a story, not just display numbers, and ensuring stakeholders actually use the data.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for build cx dashboards and reporting, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long build cx dashboards and reporting takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your VP Operations or COO
“Which of our current reports are manually assembled, and how much time does that take each cycle?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“What questions do stakeholders actually ask that our current reporting doesn't answer?”
They understand the workflow dependencies that AI tools need to respect
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.