Anti-patterns: what can go wrong
Phase 5 has six recurring operational anti-patterns. Unlike previous phases, these anti-patterns don't manifest immediately — they accumulate silently over weeks or months until the gap between the market and the Context Document is too large to ignore.
Quick reference table
| Anti-pattern | Primary signal | Severity | Typical detection |
|---|---|---|---|
| Launch as arrival | Empty Signal Log 3 months post go-live | High | Quarterly |
| Cosmetic iteration | Same problems in consecutive cycles | High | Monthly |
| KPIs as target | KPIs rise but users don't improve | Medium-high | Monthly |
| Signal without cause hypothesis | Full Signal Log, empty Context Update Record | Medium | Weekly |
| Update without traceability | Context Document changes without signal references | Medium | Monthly |
| Frozen Context Document | 60+ days without updates during active operation | Critical | Monthly |
1
Launch as arrival
›2
Systematic cosmetic iteration
›3
KPIs as target instead of input
›4
Signal without cause hypothesis
›5
Update without traceability
›6
The frozen Context Document
›Detection pattern: the monthly anti-pattern review
At the close of each monthly synthesis session, the team spends 15 minutes reviewing this table:
| Question | Healthy answer |
|---|---|
| Does the Signal Log have entries from the last 2 weeks? | Yes |
| Does the Context Update Record have entries from this cycle? | Yes |
| Are the same problems appearing for the third consecutive time? | No |
| Do KPIs match what users are saying? | Yes |
| Does each Context Document update reference a signal? | Yes |
| Has a return to Phase 1 or 2 been considered in the last quarter? | At least once |