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DNA Maturity Levels (1–5)

Companies evolve through five stages of DNA maturity. Each stage represents how explicitly your operating system is encoded and how actively it shapes behavior.

Level 1: Chaos

Characteristics

  • No shared rules. Every decision is a debate.
  • No documentation. Everything is verbal.
  • Inconsistent patterns. Everyone does things differently.
  • High founder involvement. Every decision escalates.

What It Looks Like

  • “Should this button be primary or secondary?” → 30-minute discussion
  • “How do we write error messages?” → No one knows
  • “What’s our pricing strategy?” → Founder decides case-by-case
  • New hires: “How do we do X?” → “Ask around”

Why Companies Stay Here

  • Too early. Pre-product-market fit, everything changes daily.
  • Too busy. “We’ll document later” (spoiler: they won’t).
  • Anti-process. “Documentation kills creativity.”

Problems at This Level

  • Slow decisions (everything requires discussion)
  • Inconsistent output (no shared standards)
  • Knowledge loss (when someone leaves, patterns leave)
  • Scaling impossibility (can’t grow past 10-15 people)

Signals You’re Here

  • ❌ No written rules
  • ❌ Repeated debates on same questions
  • ❌ “That’s not how we do it” without documentation
  • ❌ Onboarding takes weeks

Level 2: Tribal

Characteristics

  • Rules exist in people’s heads. Implicit patterns emerge.
  • Tribal knowledge. “Just ask Sarah, she knows.”
  • Works through osmosis. New people pick it up over time.
  • Fragile. When Sarah leaves, knowledge leaves.

What It Looks Like

  • Patterns exist: “We usually do it this way”
  • But unwritten: Nothing documented
  • Enforced socially: “That’s not how we do things here”
  • Knowledge transfer: Shadowing, Slack DMs, tribal learning

Why Companies Stay Here

  • Feels efficient. “Everyone knows how things work.”
  • Low overhead. No docs to maintain.
  • Comfortable. Works as long as team is stable.

Problems at This Level

  • Knowledge siloing (locked in specific people)
  • Turnover devastation (departures create knowledge gaps)
  • Inconsistency at scale (tribal knowledge doesn’t transfer)
  • Slow onboarding (new hires learn through trial and error)

Signals You’re Here

  • ✅ Consistent patterns exist
  • ❌ Not written down
  • ❌ Depends on specific people
  • ❌ New hires confused for months
Most companies are stuck at Level 2.

Level 3: Documented

Characteristics

  • Rules are written down. Wiki, Notion, Google Docs.
  • But disconnected. Isolated documents, not a system.
  • Rarely referenced. Docs exist but aren’t used.
  • Quickly outdated. Written once, never updated.

What It Looks Like

  • “Check the wiki” (but nobody does)
  • Docs cover some areas, not others
  • No clear structure (scattered across tools)
  • Writing docs feels like busywork

Why Companies Stay Here

  • Documentation theater. Feels productive to write docs.
  • No adoption. Team doesn’t use what’s written.
  • Maintenance burden. Docs decay immediately.

Problems at This Level

  • Docs diverge from reality (outdated quickly)
  • Low usage (team ignores documentation)
  • Discovery problem (can’t find relevant docs)
  • Still requires tribal knowledge (docs don’t cover real scenarios)

Signals You’re Here

  • ✅ Documentation exists
  • ❌ Nobody reads it
  • ❌ Not connected to daily work
  • ❌ Feels like compliance, not tool
This is where good intentions go to die.

Level 4: Systematic

Characteristics

  • DNA is live, connected, and referenced daily.
  • Genes shape decisions. “Check the gene, apply the rule.”
  • Strands are well-defined. Clear structure.
  • Sequences documented. Workflows are explicit.

What It Looks Like

  • Designer: “Should this be a modal?” → Checks UX.Navigation gene → Decision made in 30 seconds
  • Engineer: “What API format?” → Checks Tech.APIFormat gene → Implements correctly
  • New hire: “How do we hire?” → Reads Team strand → Understands process
  • Quarterly review: DNA is updated, versioned, communicated

Why Companies Get Here

  • Intentional investment. Leadership commits to building DNA.
  • Team adoption. DNA becomes part of daily workflow.
  • Maintenance culture. DNA is kept current.

Benefits at This Level

  • Fast decisions (genes eliminate debate)
  • Consistency (everyone follows same rules)
  • Scalable onboarding (DNA is the training system)
  • Visible dependencies (sequences show connections)
  • Intentional evolution (changes are versioned)

Signals You’re Here

  • ✅ DNA referenced in daily work
  • ✅ New hires read DNA first
  • ✅ Genes answer 80% of questions
  • ✅ Quarterly reviews happen
  • ✅ Sequences prevent silo problems
This is the target for most companies.

Level 5: Evolved

Characteristics

  • DNA shapes decisions automatically.
  • Alignment is structural, not aspirational.
  • AI integrated. AI agents read and apply DNA.
  • Self-maintaining. Team updates DNA as part of work.
  • Culture = encoded genes. Values manifest as rules.

What It Looks Like

  • Decisions happen without DNA lookup (internalized)
  • AI tools reference DNA (Cursor reads Tech genes, applies patterns)
  • Pull request reviewers check DNA compliance automatically
  • New features designed DNA-first (check constraints before building)
  • Pivots planned as DNA migrations (versioned, intentional)

Why Few Companies Get Here

  • Requires Level 4 maturity first. Can’t skip steps.
  • Needs tool integration. AI + automation.
  • Demands maintenance discipline. DNA must stay current.

Benefits at This Level

  • Near-zero decision overhead (rules are internalized)
  • Perfect consistency (AI enforces patterns)
  • Instant onboarding (AI guides new hires through DNA)
  • Pivot capability (DNA rewriting is a known process)
  • Company = legible system (fully documented, AI-readable)

Signals You’re Here

  • ✅ AI reads and applies your DNA
  • ✅ DNA internalized by team (automatic reference)
  • ✅ Genes updated continuously (part of workflow)
  • ✅ Zero fragmentation (structural alignment)
  • ✅ New hires productive in days, not months
This is the aspirational state.

Maturity Assessment

Where is your company?

  • No written rules
  • Every decision debated
  • Onboarding through trial-and-error
Action: Start with 3 strands, 10-15 genes total
  • Patterns exist, not documented
  • Knowledge locked in people’s heads
  • Turnover causes knowledge loss
Action: Extract tribal knowledge into genes
  • Docs exist, rarely used
  • Disconnected from daily work
  • Quickly outdated
Action: Restructure as strands + genes, integrate into workflow
  • DNA referenced daily
  • Genes guide decisions
  • Sequences prevent silos
Action: Expand to all 12 strands, automate checks
  • DNA internalized
  • AI integrated
  • Structural alignment
Action: Maintain ruthlessly, evolve intentionally

Maturity Progression

You can’t skip levels. You must progress sequentially.
Level 1 → Level 2: Patterns emerge organically (6-12 months)
Level 2 → Level 3: Extract and document patterns (1-2 months)
Level 3 → Level 4: Make DNA live and active (3-6 months)
Level 4 → Level 5: Internalize and automate (6-12 months)
Total time to Level 4: ~12-18 months of intentional work

What Level Should You Target?

Level 4 is the goal for most companies

Level 1-2: Acceptable only if you’re <10 people and pre-PMF Level 3: Dangerous. Feels like progress, but creates false security. Level 4: Target state. DNA is functional, active, valuable. Level 5: Aspirational. Requires significant investment.

Common Failure Modes

Skipping to Level 3 Without Level 2

Writing docs before patterns exist → Docs are useless

Staying at Level 3

Docs exist but not used → Wasted effort, team ignores them

Building Level 4 DNA But Not Maintaining It

DNA decays back to Level 3 → Worse than not building it

The Level 4 Threshold

Getting to Level 4 is the unlock. Before Level 4:
  • Decisions are slow
  • Alignment is fragile
  • Scaling is hard
After Level 4:
  • Decisions are fast
  • Alignment is structural
  • Scaling is possible
Level 4 is where DNA becomes a competitive advantage.

Next Steps