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
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- Quickly outdated.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
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
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
Maturity Assessment
Where is your company?
Level 1: Chaos
Level 1: Chaos
- No written rules
- Every decision debated
- Onboarding through trial-and-error
Level 2: Tribal
Level 2: Tribal
- Patterns exist, not documented
- Knowledge locked in people’s heads
- Turnover causes knowledge loss
Level 3: Documented
Level 3: Documented
- Docs exist, rarely used
- Disconnected from daily work
- Quickly outdated
Level 4: Systematic
Level 4: Systematic
- DNA referenced daily
- Genes guide decisions
- Sequences prevent silos
Level 5: Evolved
Level 5: Evolved
- DNA internalized
- AI integrated
- Structural alignment
Maturity Progression
You can’t skip levels. You must progress sequentially.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 uselessStaying at Level 3
Docs exist but not used → Wasted effort, team ignores themBuilding Level 4 DNA But Not Maintaining It
DNA decays back to Level 3 → Worse than not building itThe Level 4 Threshold
Getting to Level 4 is the unlock. Before Level 4:- Decisions are slow
- Alignment is fragile
- Scaling is hard
- Decisions are fast
- Alignment is structural
- Scaling is possible

