Parameter Changes

{
  "id": "TRIZ-35",
  "title": "Parameter Changes",
  "intent": "Improve outcomes by changing key parameters instead of redesigning the entire system.",
  "triz_principle": {
    "number": 35,
    "name": "Parameter Changes",
    "definition": "Change an object’s physical state, concentration, flexibility, or other parameters to achieve the desired effect."
  },
  "problem_understanding": {
    "core_contradiction": "We want better performance or quality, but structural changes are expensive and risky.",
    "why_this_hurts": "Teams jump to redesigns when many problems are caused by poorly tuned parameters rather than wrong architecture.",
    "typical_signals": [
      "talk about replatforming too early",
      "performance issues under specific conditions only",
      "rules that are correct in logic but wrong in thresholds",
      "systems that work but feel unnecessarily rigid"
    ]
  },
  "solution_logic": {
    "core_idea": "Tune parameters before changing structure.",
    "key_rule": "Exhaust parameter space before redesigning the system.",
    "how_it_resolves_the_contradiction": "Small, low-risk adjustments unlock large improvements without destabilizing the system."
  },
  "application_patterns": {
    "consulting": [
      "adjust decision thresholds instead of changing governance model",
      "change escalation limits before reorganizing teams",
      "tune KPIs rather than redefining strategy"
    ],
    "software_engineering": [
      "tune timeouts, batch sizes, and retry limits",
      "adjust cache TTLs and consistency levels",
      "feature flags to vary behavior by context"
    ],
    "architecture": [
      "scaling parameters instead of topology changes",
      "circuit breaker thresholds tuning",
      "config-driven resilience policies"
    ],
    "enterprise_sap": [
      "adjust MDG validation strictness by object or phase",
      "tune workflow thresholds for auto-approval",
      "modify replication frequency instead of redesigning integration"
    ]
  },
  "anti_patterns": [
    "random tuning without measurement",
    "hard-coding parameters",
    "over-tuning one area while ignoring system effects"
  ],
  "usage_guidance": {
    "use_when": [
      "system is mostly correct but poorly tuned",
      "issues appear only under certain conditions",
      "fast improvement is needed with low risk"
    ],
    "do_not_use_when": [
      "fundamental design is wrong",
      "parameters are already well optimized"
    ]
  },
  "diagnostic_questions": [
    "Which parameters most influence behavior?",
    "What ranges have never been tested?",
    "Which change would be reversible and cheap?"
  ],
  "example": {
    "before": "System is redesigned due to performance issues under peak load.",
    "after": "Timeouts, batch sizes, and caching parameters are tuned to handle peaks without redesign."
  },
  "meta": {
    "schema": "dkharlanau.dataset.byte",
    "schema_version": "1.1",
    "dataset": "TRIZ-bytes",
    "source_project": "cv-ai",
    "source_path": "TRIZ-bytes/TRIZ-35.json",
    "generated_at_utc": "2026-02-03T14:33:32+00:00",
    "creator": {
      "name": "Dzmitryi Kharlanau",
      "role": "SAP Lead",
      "website": "https://dkharlanau.github.io",
      "linkedin": "https://www.linkedin.com/in/dkharlanau"
    },
    "attribution": {
      "attribution_required": true,
      "preferred_citation": "Dzmitryi Kharlanau (SAP Lead). Dataset bytes: https://dkharlanau.github.io"
    },
    "license": {
      "name": "",
      "spdx": "",
      "url": ""
    },
    "links": {
      "website": "https://dkharlanau.github.io",
      "linkedin": "https://www.linkedin.com/in/dkharlanau"
    },
    "contact": {
      "preferred": "linkedin",
      "linkedin": "https://www.linkedin.com/in/dkharlanau"
    },
    "canonical_url": "https://dkharlanau.github.io/datasets/TRIZ-bytes/TRIZ-35.json",
    "created_at_utc": "2026-02-03T14:33:32+00:00",
    "updated_at_utc": "2026-02-03T15:29:02+00:00",
    "provenance": {
      "source_type": "chat_export_extraction",
      "note": "Extracted and curated by Dzmitryi Kharlanau; enriched for attribution and crawler indexing."
    },
    "entity_type": "triz_byte",
    "entity_subtype": "",
    "summary": "Improve outcomes by changing key parameters instead of redesigning the entire system."
  }
}