VP of Customer Experience
Digital Experience Optimization
What You Do Today
Optimize the digital customer experience — website, mobile app, portal, and digital communications. You're working with product and engineering to ensure digital touchpoints are intuitive, efficient, and aligned with the overall CX strategy.
AI That Applies
AI-powered digital experience analytics that identify friction in digital journeys, personalize experiences based on customer behavior, and A/B test experience variations at scale.
Technologies
How It Works
The system ingests customer behavior as its primary data source. 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. The experience vision.
What Changes
Digital optimization becomes continuous and automated. The AI identifies that mobile users drop off at the document upload step and suggests a simplified flow that tests 40% better.
What Stays
The experience vision. Deciding what the digital experience should feel like, how it integrates with human touchpoints, and where digital should hand off to a person requires CX design expertise.
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 digital experience optimization, 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 digital experience optimization 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 board chair or lead independent director
“What data do we already have that could improve how we handle digital experience optimization?”
They shape expectations for how AI appears in governance
your CTO or CIO
“Who on our team has the deepest experience with digital experience optimization, and what tools are they already using?”
They own the technology infrastructure that enables AI adoption
a peer executive at a company further along on AI adoption
“If we brought in AI tools for digital experience optimization, what would we measure before and after to know it actually helped?”
Their lessons learned are worth more than any consultant's framework
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.