Tools · Management & HR
Org Design Diagnostic
Is the org designed for its strategy? Star Model alignment plus spans-and-layers, with the math done in code.
How it works
Galbraith Star Model alignment audit grounded in the organizational-science corpus: each of the five points (Strategy · Structure · Processes · Rewards · People) assessed from input evidence only, misalignment PAIRS called out (team-based strategy × individual-only rewards), honest not-described flags, prioritized realignment list. When headcount-per-layer is provided, spans-and-layers analytics compute deterministically in code: per-layer span, average span, layer count, compressed spans (<4) and excessive layers flagged.
You bring
{ design, headcount_by_layer?, cluster? }
You get
{ design_summary, star_points[5] (assessment · misalignments), realignment[], spans_and_layers (per-layer spans · flags) | null, data_flags[], grounded_in, provenance }
Use it for
- →Post-reorg check: does the new structure actually serve the stated strategy, and where do the points fight each other?
- →Spans-and-layers pass before a delayering decision — flags computed, not eyeballed
- →Pair with workforce-plan for the staffing consequences of the realignment moves
Run it on your data
Call it on your own inputs — over the API, or hand it to your AI agent via MCP. Discovery is open; running it is metered.