What problem does it solve? Competitive landscape maps often become logo grids that assert nothing: axes measure the same thing twice, placements rest on impressions, and empty regions get labeled opportunities without evidence. This Skill enforces a disciplined method — descended from Porter's strategic-group maps — that tests axis independence, demands an evidence sentence per placement, and forces an explicit judgement on whether whitespace is untried or unviable. ## Core Features & Use Cases - Axis selection and orthogonality testing: Choose a material, measurable axis pair and verify independence with Pearson r and Spearman rho via the companion script, with a correlation matrix that catches same-variable traps like headcount versus integration depth. - Evidence-backed placement and quadrant reading: Place three or more entities with one sourced evidence sentence each, then read quadrant crowding, nearest-neighbour distances, and weighted centroids. - Whitespace argumentation: Rank empty grid regions by distance from the nearest competitor and state explicitly whether each is untried or unviable, plus stability checks via axis-swap and three-year back-cast. - Use Case: A product lead asks where their API platform sits versus two incumbents and an open-source challenger. The Skill scores all four on integration depth and frontier quality, confirms the axes are independent (r < 0.4), maps the quadrants, and concludes whether the empty premium mid-market region is a real opening or structurally unprofitable. ## Quick Start Ask the assistant to build a competitive positioning map of your category's vendors on two justified axes, with evidence per placement and a verdict on any empty quadrant.
