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Chapter 14 — Common Failure Patterns

This chapter is a catalog of system failure patterns—not as trivia, but as a diagnostic tool.

Each pattern describes:

  • the observable symptoms
  • the underlying mechanism
  • why it’s attractive
  • what it breaks
  • a corrective design move

Use this chapter when you suspect your “system” is turning into ritual, theater, or politics.

Pattern 1: Vocabulary-First Systems

Symptoms

  • lots of new terms
  • debates about definitions
  • “we need alignment” becomes frequent
  • artifacts are mostly glossaries and decks
  • decisions don’t get faster or safer

Mechanism

Vocabulary creates shared labels without enforcing shared commitments.

People mistake naming for control.

Why it’s attractive

  • low conflict
  • feels sophisticated
  • easy to teach and spread

What it breaks

  • decision accountability
  • learning loops
  • speed under stress

Corrective move

Add:

  • one explicit decision output
  • one artifact that records the decision
  • one constraint that triggers a default if the decision isn’t made

If you can’t enforce those, admit it’s a vocabulary, not a system.

Pattern 2: Ritual Without Artifact

Symptoms

  • recurring meetings that “feel important”
  • endless revisiting of the same topics
  • outcomes are verbal and evaporate
  • decisions are postponed by default

Mechanism

The system is actually a cadence. Cadence is mistaken for governance.

Why it’s attractive

  • creates social rhythm
  • provides a sense of control
  • distributes responsibility through attendance

What it breaks

  • inspectability
  • commitment
  • continuity across time and people

Corrective move

Define the meeting’s purpose as:

  • produce a specific artifact
  • that contains a specific decision
  • that triggers specific next actions

No artifact, no meeting.

Pattern 3: Artifact Without Decision

Symptoms

  • many documents and dashboards
  • “status” is always available
  • nobody can name the decision that changed because of the artifact
  • planning produces slides, not commitments

Mechanism

Artifacts are optimized for reporting, not for decision-making.

Why it’s attractive

  • legibility is rewarded
  • leadership feels informed
  • avoids conflict (information can be shared without choosing)

What it breaks

  • prioritization
  • accountability
  • speed to commitment

Corrective move

Require each artifact to include:

  • a decision field (“What changed?”)
  • an owner
  • a default if no decision is made
  • a link to the next action

If the artifact can’t change action, delete it.

Pattern 4: Constraintless Systems

Symptoms

  • “it’s a guideline”
  • exceptions are constant
  • under stress, people ignore the system
  • enforcement relies on reminders and shame

Mechanism

Without constraints, the system cannot force tradeoffs or defaults.

Why it’s attractive

  • reduces resistance
  • avoids authority conflict
  • feels “empowering”

What it breaks

  • reliability under pressure
  • learning (no stable process)
  • credibility (“process doesn’t matter here”)

Corrective move

Add one enforceable constraint with a default:

  • scope cap, WIP limit, timebox, gate, authority boundary

If enforcement is impossible, redesign the unit of analysis or adoption path.

Pattern 5: “Best Practice” Systems

Symptoms

  • justification is “industry standard”
  • system is adopted with minimal local diagnosis
  • dissent is framed as immaturity (“you’ll get it later”)

Mechanism

External legitimacy replaces local problem fit.

Why it’s attractive

  • reduces uncertainty
  • provides political cover
  • accelerates rollout

What it breaks

  • fit to context
  • trust (people feel coerced)
  • learning (feedback is dismissed)

Corrective move

Force a local contract:

  • name the local failure
  • name the decision optimized
  • define the artifact and constraint
  • define misuse risks in your environment

If you can’t do this, you’re buying identity, not design.

Pattern 6: Framework Stacking

Symptoms

  • multiple overlapping systems
  • conflicting artifacts
  • teams spend time translating between methods
  • governance expands to reconcile contradictions

Mechanism

When one system fails, another is added rather than replacing or subordinating.

Why it’s attractive

  • avoids admitting failure
  • keeps everyone’s preferences alive
  • adds “coverage” without removal

What it breaks

  • coherence
  • throughput (coordination load rises)
  • accountability (no one knows which system wins)

Corrective move

Apply the landscape rule:

  • each recurring decision must have one “source” artifact
  • adding a system requires removing or subordinating another

Pattern 7: Scale Mismatch (Scale Collapse)

Symptoms

  • a team practice mandated org-wide
  • heavy governance to enforce simple routines
  • widespread superficial compliance
  • local adaptations are treated as failures

Mechanism

System assumptions don’t survive the unit-of-analysis change.

Why it’s attractive

  • leaders want comparability
  • copying seems cheaper than redesign
  • success stories are compelling

What it breaks

  • autonomy
  • adaptability
  • credibility of governance

Corrective move

Redesign for the new unit:

  • control interfaces rather than rituals
  • shift artifacts to match the scale (ownership maps, contracts, portfolio allocations)
  • explicitly define enforcement authority

Pattern 8: Metric Capture

Symptoms

  • metrics improve while reality worsens
  • teams optimize numbers over outcomes
  • people hide work to protect metrics
  • metrics become performance weapons

Mechanism

Measurement becomes an incentive system, not an information system.

Why it’s attractive

  • makes leadership feel in control
  • simplifies complexity
  • supports comparability and accountability narratives

What it breaks

  • truth
  • psychological safety
  • long-term performance

Corrective move

  • separate metrics used for learning from metrics used for evaluation
  • add “anti-gaming” signals
  • tie metrics to decision logs (“what did we change because of this?”)

Pattern 9: Legibility Over Truth

Symptoms

  • sanitized status updates
  • surprises emerge late
  • bad news travels slowly
  • artifacts look clean but don’t predict outcomes

Mechanism

Artifacts are optimized to be understood by power, not to reflect reality.

Why it’s attractive

  • reduces conflict
  • protects reputations
  • makes planning look stable

What it breaks

  • early detection
  • repair speed
  • trust

Corrective move

Design artifacts for truth first:

  • include uncertainty explicitly
  • record assumptions
  • require red/yellow flags with owners and next actions
  • protect candor from punishment

Pattern 10: Consensus Systems (Veto Everywhere)

Symptoms

  • decisions take a long time
  • “alignment” becomes endless
  • people avoid proposing bold moves
  • the loudest or most risk-averse actor controls outcomes

Mechanism

Consensus creates distributed veto power and rewards avoidance.

Why it’s attractive

  • feels fair
  • reduces overt conflict
  • spreads responsibility

What it breaks

  • speed
  • ownership
  • innovation under uncertainty

Corrective move

Introduce authority boundaries and defaults:

  • define who decides
  • define consult vs inform
  • define escalation rules
  • use timeboxed decision windows with default outcomes

Pattern 11: Systems That Can’t Die (Fossilization)

Symptoms

  • systems remain after context changes
  • nobody remembers why the system exists
  • the system is defended as “how we do things”
  • removing it feels dangerous

Mechanism

No retirement mechanism + identity attachment + fear of chaos.

Why it’s attractive

  • stability feels safe
  • removing systems creates political risk
  • “more process” seems responsible

What it breaks

  • adaptability
  • speed
  • morale (people feel trapped in rituals)

Corrective move

Add review and retirement rules:

  • sunset clauses
  • kill criteria
  • cost caps (time budget)
  • explicit “replace vs stack” governance

Pattern 12: Hero-Dependent Systems

Symptoms

  • works only when one person is present
  • unclear rules; “just ask Alex”
  • decisions stall when the hero is absent
  • knowledge is social, not inspectable

Mechanism

Enforcement and interpretation live in a person, not in artifacts and constraints.

Why it’s attractive

  • fast initially
  • avoids writing things down
  • hero becomes a coordination hub

What it breaks

  • scalability
  • resilience
  • onboarding and continuity

Corrective move

Move the system into artifacts:

  • decision logs
  • explicit rules and defaults
  • ownership maps
  • documented constraints

If you can’t make it inspectable, it’s not a system—it’s a person.

How to Use This Chapter

When evaluating a system, ask:

  • Which two patterns does this system most resemble?
  • Which pattern is it drifting toward under stress?
  • What single constraint or artifact change would reverse the drift?

This is not about perfection. It’s about preventing predictable failure.

Exit Condition for This Chapter

Pick one system you currently use and do two things:

  1. Identify the top 2 failure patterns it exhibits today
  2. Apply one corrective move that changes either:

  3. a constraint, or

  4. an artifact, or
  5. an authority boundary

If nothing changes in decisions within a week, the correction was cosmetic.