VP of Product
Product Strategy & Vision
What You Do Today
Define and communicate the product vision — where the product is going, why, and how it connects to the company's strategy. You're the person who ensures every feature ladders up to something bigger.
AI That Applies
AI-powered market analysis that identifies emerging trends, competitive gaps, and customer need patterns to inform strategic direction. Automated strategy documentation that keeps vision materials current.
Technologies
How It Works
The system tracks product usage data — feature adoption, user flows, error rates, and engagement patterns. Predictive models fit to historical outcome data identify which variables are the strongest leading indicators, then apply those weights to current inputs to generate forward-looking scores. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Market intelligence feeds continuously into strategy. The AI surfaces that a competitor just launched a feature your customers have been requesting, or that a market segment is growing faster than expected.
What Stays
The vision. Deciding what the product should be — the bets worth making, the markets worth entering, the features that define the category — requires creativity, conviction, and customer empathy.
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 product strategy & vision, 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 product strategy & vision 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 product strategy & vision?”
They shape expectations for how AI appears in governance
your CTO or CIO
“Who on our team has the deepest experience with product strategy & vision, 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 product strategy & vision, 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.