The LA Benchmark. How does your architecture compare?
Aggregated, anonymized data on decision-system health across industries and organization sizes. The first reference point for what "healthy leadership architecture" looks like at your stage.
- What: aggregated, anonymized LAI distributions and DCD × ACE quadrants across industries and org sizes.
- Source: data from organizations that completed LA Fit or LA OS, with explicit consent for anonymized inclusion.
- Updated yearly once first cohort publishes.
- Today: coming soon — join the waitlist to get the first release.
Where most teams sit on the matrix.
The fit between your organization’s Decision Coordination Demand (DCD) and your current Architecture Capability Estimate (ACE) determines whether your leadership system can handle your complexity.
| Low Demand | Moderate Demand | High Demand | |
|---|---|---|---|
| High Capability | Structured Simplicity | Scalable Execution | Scalable Execution |
| Moderate Capability | Founder Control | Architecture Stress | Structural Chaos |
| Low Capability | Founder Control | Structural Chaos | Structural Chaos |
Updated yearly once first cohort publishes.
The five archetypes.
Each cell on the matrix corresponds to one of five operating archetypes.
Structured Simplicity
Your architecture is stronger than your current complexity demands. This is a stable, efficient state — leverage it as a platform to scale.
Founder Control
Low organizational demand allows informal, founder-driven decision making to work. Effective early-stage, but creates scaling risk as complexity grows.
Architecture Stress
Moderate capability is being stretched by moderate demand. Structural gaps are manageable but accumulating — investment in clarity is needed before scaling.
Structural Chaos
Even moderate organizational complexity exceeds low architecture capability. Decision failures are frequent and execution is unreliable.
Scalable Execution
High architecture capability is handling high demand effectively. This is the target state for complex, high-growth organizations.
Which dimensions drift fastest.
The dimension-level decay rate as organizations scale past their first redesign. Higher percentages = faster drift, higher need for Governance Maintenance cadence.
Illustrative example — a hypothesized drift ordering, not measured benchmark data. The benchmark is not yet published.
Methodology.
All benchmark data is aggregated and anonymized. We use only data from organizations that have completed the LA Fit or LA OS, with explicit consent for anonymized inclusion. Source data is normalized by organization size, industry, and stage to make cross-sample comparisons valid.
Join the waitlist.
We'll email when the first benchmark publishes. No marketing.