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Org Transformation

Does your org chart match
your architecture?

The Team Architecture view maps your codebase to your team topology — revealing ownership clarity, contested modules, and coordination overhead that your Git history has already recorded. Conway's Law made measurable, not theoretical.

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Live Demo
Team Architecture
Team Health Table · Module Ownership Heatmap · Team Coordination Matrix. Contested modules, clear ownership, and cross-team overhead. Real data from the MongoDB open-source repository.
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Real data · No login required · Read-only

What it shows

  • Team Health TableEach team's top three modules by commit volume, with an ownership status badge — Clear ownership, Contested, No redundancy, or Unassigned activity. Instantly identifies where clarity is missing.
  • Module Ownership HeatmapModule × team matrix. Green = dominant owner (>50%), yellow = significant contributor (>20%), grey = present (<20%). Contested modules — where multiple teams contribute meaningfully — appear first.
  • Team Coordination MatrixCross-team co-change events per team pair. Every cell is accumulated coordination overhead that shows up in your Git history — not in your retro notes.
  • Three KPI cardsCross-Team Coupling Pairs, Coordination Events, and Contested Modules — the three numbers that tell you whether your team topology is aligned with your architecture or fighting it.

When to use it

Org transformation

Moving to stream-aligned or platform teams? The heatmap shows which modules are already cleanly owned and which need ownership negotiation before the restructure.

Team topology design

Design team boundaries from evidence, not intuition. Where coupling is high and ownership is contested, the team topology needs to change — or the architecture does.

Engineering leadership review

Quantify coordination overhead for leadership: not "teams are stepping on each other's toes" but "167 cross-team coupling pairs generating 46,208 coordination events."

Inverse Conway Manoeuvre

If you want a loosely coupled architecture, you need loosely coupled teams.

The Team Architecture view gives transformation coaches and engineering leaders the data to run this in reverse: start with where the code couples today, identify which team boundaries amplify that coupling, and make a structured case for change — backed by commit history, not gut feel.

See it on your codebase

The live demo shows Team Architecture on the MongoDB repository — real ownership patterns, real coordination data. Get in touch to run it on yours.

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