AI · case study
Marketing Flight Planner — AI GTM Maturity → Roadmap Engine
The challenge
Most maturity assessments stop at static scores and generic recommendations. Operators still need to decide what to fix first, what to defer, and where budget and team capacity create constraints. The objective was to build a practical decision tool that turns maturity findings into a sequenceable plan tied to business outcomes and implementation readiness.
Our methodology
1. Created a structured diagnostic framework across revenue strategy
Created a structured diagnostic framework across revenue strategy, operations, data, and channel execution, then mapped each score profile to recommended plays and stack priorities
2. Added weighted decision logic that accounts for impact
Added weighted decision logic that accounts for impact, effort, and dependency constraints so recommendations are ordered for implementation reality
3. Built scenario simulation to compare roadmap outcomes under different resource assumptions
Built scenario simulation to compare roadmap outcomes under different resource assumptions
4. Packaged outputs as an executive-ready action brief and operator-level workplan.
Packaged outputs as an executive-ready action brief and operator-level workplan.
Key decisions and why they mattered
Prioritize recommendation sequencing over score visualization
Users needed implementation order and dependencies, not another dashboard scorecard.
Impact: Produced roadmap outputs teams could execute immediately in planning cycles.
Use weighted impact-effort-dependency logic for recommendation ranking
Simple scoring over-prioritizes high-impact items that are blocked operationally.
Impact: Increased realism of recommendations and reduced planning churn after handoff.
Support scenario simulation for constrained-resource planning
Leadership needed to compare options across staffing and budget tradeoffs.
Impact: Enabled faster alignment on near-term roadmap commitments.
The execution
Created a structured diagnostic framework across revenue strategy, operations, data, and channel execution, then mapped each score profile to recommended plays and stack priorities. Added weighted decision logic that accounts for impact, effort, and dependency constraints so recommendations are ordered for implementation reality. Built scenario simulation to compare roadmap outcomes under different resource assumptions. Packaged outputs as an executive-ready action brief and operator-level workplan.
The outcome
Measurable impact across pipeline, efficiency, and growth.
Delivered MVP with production scoring and roadmap generation flows
Supports real-time GTM maturity diagnosis across REAO dimensions
Introduced scenario simulation for low, base, and aggressive execution paths
“Delivered MVP with production scoring and roadmap generation flows”
Portfolio Artifact
Outcome summary
Expertise applied
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