Director of Digital
Customer Journey Mapping & Experience Design
What You Do Today
Map end-to-end customer journeys, identify friction points, and design digital solutions that improve the experience at key moments that matter.
AI That Applies
AI-powered journey analytics that stitch together touchpoints across channels, identify drop-off patterns, and predict which journey improvements will have the highest NPS impact.
Technologies
How It Works
The system ingests customer interaction data — transactions, communications, behavioral signals, and profile information. Machine learning models identify the patterns in historical data that most strongly predict the target outcome, then apply those patterns to score new inputs. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Journey mapping becomes data-driven rather than workshop-based. AI shows actual customer paths (not assumed ones) and quantifies the experience impact of every friction point.
What Stays
Design empathy. Creating experiences that feel effortless requires understanding human emotions, not just conversion metrics.
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 customer journey mapping & experience design, 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 customer journey mapping & experience design 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 CIO or VP IT
“What are the top 5 reasons customers contact us, and which of those could be resolved without a human?”
They're prioritizing which IT functions to automate
your cybersecurity lead
“How do we currently measure service quality, and would AI-assisted responses change that measurement?”
AI tools create new attack surfaces and new defense capabilities
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.