What you get
- Stage-appropriate strategy & operating model (intake, SLAs, roadmap, governance)
- KPI framework across acquisition, product, revenue, and margin
- Product analytics instrumentation & exec review cadence with AI-powered insights
- Vendor, data platform, and hiring guidance with cost discipline
- Pricing strategy, unit economics modeling, and margin analytics
- Stakeholder alignment and change management
Engagement formats
Fractional leadership: 1-3 days/week for 3-6 months. Ongoing executive ownership with sprint-based delivery and weekly updates.
Consulting sprints: 3-4 week focused engagements. Clear scope, defined deliverables, fast results on a specific challenge.
Format: Remote-first with optional on-site
Good fit if...
- You need analytics leadership but not a full-time VP hire
- Leaders want measurable outcomes, not dashboard sprawl
- You need to make smart, right-sized stack and vendor choices
- Current analytics feels reactive, not strategic
- You want to build analytics culture, not just reports
Common scenarios
Growing startups: First analytics hire guidance, MVP dashboards, investor metrics
Mid-market companies: Scale foundations, team structure, platform decisions
Health systems: Digital transformation, operational analytics, quality measures
Enterprise teams: Strategic consulting on pricing, AI readiness, or analytics modernization
How it works
Month 1
Discovery & Quick Wins
- • Stakeholder interviews
- • Current state assessment
- • Immediate improvements
- • 90-day roadmap
Months 2-3
Foundation Building
- • Operating model design
- • KPI framework
- • Platform decisions
- • Team structure
Months 4-6
Scale & Handoff
- • Process automation
- • Team hiring/training
- • Documentation
- • Transition planning