VP of Customer Success
Measure and improve customer satisfaction and advocacy
What You Do Today
Track NPS, CSAT, and customer effort scores across the customer lifecycle. Design programs that turn satisfied customers into advocates — references, case studies, reviews, and community participation.
AI That Applies
Sentiment analysis across all customer touchpoints, with AI-identified advocacy candidates and automated referral and review request workflows.
Technologies
How It Works
The system ingests request workflows as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Advocacy identification becomes proactive. AI spots your happiest customers based on behavioral signals, not just survey responses.
What Stays
Genuine advocacy comes from genuine relationships. Customers become references because they believe in the product and trust the people, not because an algorithm asked at the right time.
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 measure and improve customer satisfaction and advocacy, 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 measure and improve customer satisfaction and advocacy 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
“If we automated the routine parts of measure and improve customer satisfaction and advocacy, what would the team do with the freed-up time?”
They shape expectations for how AI appears in governance
your CTO or CIO
“If measure and improve customer satisfaction and advocacy were fully AI-assisted, which exceptions would still need a human — and are those the high-value parts?”
They own the technology infrastructure that enables AI adoption
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.