Decisions
144 rules
Twelve areas, twelve rules each. Every rule is an IF / THEN / ELSE with a primary metric, a guardrail and the LAKA levels it operates at.
74 of 144 rules · clear filters
- TEC-009 Control faceted and parameter volume IF filters, sorting, search, tracking, or session parameters create many near-duplicate URLs Structural
- TEC-010 Preserve content parity IF mobile, desktop, locale, or rendered versions differ Structural
- TEC-011 Prioritize real-user performance IF field performance or business outcomes show latency, instability, or interaction problems Minor
- TEC-012 Scale crawl work to site size and change rate IF the site is very large, rapidly changing, or shows crawl/index waste Structural
- CVR-003 Optimize speed for outcomes IF slow or unstable experience correlates with abandonment or conversion loss Minor
- CVR-004 Reduce form friction selectively IF form abandonment is high AND removed fields are not needed for qualification or routing Minor
- CVR-005 Optimize for lead quality IF lead count rises while acceptance, close rate, or margin falls Major
- CVR-007 Place trust at the decision point IF users hesitate because scope, proof, identity, terms, price, or risk is unclear Major
- CVR-008 Avoid premature hard selling IF the query is early-stage and commercial pressure harms task satisfaction Major
- CVR-009 Design retention paths IF the organic visitor is an existing customer or user Major
- CVR-010 Measure satisfaction with task-specific events IF generic engagement metrics cannot show whether the task was completed Structural
- CVR-012 Protect user and brand guardrails IF a conversion intervention increases action but also complaints, refunds, low-quality leads, or distrust Minor
- EXP-005 Set guardrails before launch IF a change can improve the primary metric while harming quality, accessibility, revenue, or trust Baseline
- EXP-006 Use controls when feasible IF comparable untreated pages, clusters, regions, or time periods exist Baseline
- EXP-007 Account for seasonality and external events IF demand, algorithms, campaigns, news, inventory, or holidays can affect the outcome Baseline
- EXP-008 Represent uncertainty IF sample size is small, variance is high, or exposure is incomplete Baseline
- EXP-009 Allow processing and learning time IF a change has not had enough crawl, index, ranking, or behavioral exposure Baseline
- EXP-010 Distinguish single-variable and package tests IF several material variables change together Minor
- EXP-011 Escalate by diagnosed mechanism IF a lower-level LAKA intervention fails Minor
- GOV-008 Prepare for agentic use through usability IF browser agents or assistive systems need to interpret and operate the site Structural
- GOV-009 Expose freshness and provenance IF data may change or be reused in generated answers Major
- GOV-010 Constrain programmatic expansion IF candidate combinations exceed quality or maintenance capacity Structural
- GOV-011 Protect privacy, consent, and sensitive data IF volumetric generation or personalization uses personal, confidential, licensed, or restricted data Structural
- GOV-012 Pursue paradigm assets selectively IF a new tool, dataset, benchmark, diagnostic, or agent can complete the task far better than existing result classes Paradigm