The problem

Building a product is rarely the hard part, it is the distribution. Founders and product teams often waste capital on the wrong sales motion, misaligned pricing, or broad marketing that fails to hit a specific beachhead segment.

What it does

• Identifies the optimal sales motion (self-serve vs. enterprise) based on ACV and buyer complexity.
• Calculates TAM/SAM/SOM with explicit assumptions to define a high-priority beachhead market.
• Develops ICPs including firmographics, buying triggers, and disqualifiers to narrow sales focus.
• Stress-tests product-market fit metrics to flag if scaling is premature versus requiring more validation.
• Generates structured 90-day launch plans and competitor GTM teardowns from public data.

Why this beats prompting it yourself

Generic prompts result in vague business school essays. This skill uses a multi-phase framework that chains motion selection, pricing deep-dives, and metric benchmarking, ensuring every recommendation is grounded in your specific unit economics rather than what is currently trendy.

Use cases

• Designing a launch strategy for a new SaaS product or market entry.
• Auditing an underperforming GTM motion to find leaks in the funnel.
• Reverse-engineering a competitor's distribution and positioning strategy.
• Preparing a structured GTM report for investors or board-level reviews.

Known limitations

Competitor data is limited to public information and user-provided context. Benchmark ranges are directional and should be cross-referenced with current-year industry reports for exact precision.