{"id":29701,"date":"2023-09-29T09:11:20","date_gmt":"2023-09-29T12:11:20","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/what-is-a-doi-copy\/"},"modified":"2023-09-27T09:22:23","modified_gmt":"2023-09-27T12:22:23","slug":"root-cause-analysis","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/lt\/saknu-priezasciu-analize\/","title":{"rendered":"Nuo simptom\u0173 iki sprendim\u0173: Pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117s menas"},"content":{"rendered":"<p>Ar pavargote nuolat spr\u0119sti tas pa\u010dias problemas? Net jei manote, kad radote sprendim\u0105, gali b\u016bti, kad vis tiek liksite \u012fstrig\u0119 su ta problema. Taip atsitinka d\u0117l to, kad i\u0161 karto puolate ie\u0161koti atsakymo, u\u017euot suprat\u0119 problemos prie\u017east\u012f. Jei skirsite laiko tikrajai problemos prie\u017eas\u010diai analizuoti, taps lengviau \u012fveikti problem\u0105 ir u\u017ekirsti keli\u0105 jos pasikartojimui. Toks procesas vadinamas <strong>pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117<\/strong>.&nbsp;<\/p>\n\n\n\n<p>Pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117 - tai metodas, kur\u012f \u012fmon\u0117s taiko i\u0161kilus problemai. \u0160iame straipsnyje i\u0161samiai susipa\u017einsime su \u0161ia s\u0105voka, jos tipais ir metodais, taip pat pateiksime pavyzd\u017ei\u0173.<\/p>\n\n\n\n<h2 id=\"h-root-cause-analysis-steps-tools-and-examples\">Pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117: \u017dingsniai, \u012frankiai ir pavyzd\u017eiai.<\/h2>\n\n\n\n<p>Pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117 (angl. Root Cause Analysis, RCA) - tai problem\u0173 sprendimo metodas, taikomas siekiant nustatyti pagrindines problemos ar \u012fvykio prie\u017eastis. Ja siekiama nustatyti pagrindin\u0119 (-es) prie\u017east\u012f (-is), d\u0117l kurios (-i\u0173) kilo problema, o ne tik \u0161alinti simptomus. RCA padeda organizacijoms ar asmenims geriau suprasti problem\u0105, u\u017ekirsti keli\u0105 jos pasikartojimui ir \u012fgyvendinti veiksmingus taisomuosius veiksmus.&nbsp;<\/p>\n\n\n\n<p>Toliau pateikiami bendri \u017eingsniai, \u012fprastos priemon\u0117s ir RCA pavyzd\u017eiai:<\/p>\n\n\n\n<h2 id=\"h-steps-of-root-cause-analysis\">Pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117s etapai<\/h2>\n\n\n\n<ol>\n<li><strong>Apibr\u0117\u017ekite problem\u0105: <\/strong>Ai\u0161kiai apibr\u0117\u017ekite problem\u0105 ar \u012fvyk\u012f, kuriam reikia atlikti RCA. Nustatykite analiz\u0117s apimt\u012f ir ribas.<\/li>\n\n\n\n<li><strong>Surinkite duomenis: <\/strong>Surinkite atitinkamus su problema susijusius duomenis. Tai gali b\u016bti incident\u0173 ataskaitos, proces\u0173 dokumentai, klient\u0173 atsiliepimai ir bet kokia kita turima informacija.<\/li>\n\n\n\n<li><strong>Nustatykite tiesiogines prie\u017eastis:<\/strong> Nustatykite prie\u017eastis arba \u012fvykius, kurie tiesiogiai l\u0117m\u0117 problemos atsiradim\u0105. Paprastai tai b\u016bna labiausiai matomi problemos simptomai.<\/li>\n\n\n\n<li><strong>Paklauskite \"Kod\u0117l?\" ir nustatykite tai lemian\u010dius veiksnius:<\/strong> Prad\u0117dami nuo ankstesniame etape nustatyt\u0173 tiesiogini\u0173 prie\u017eas\u010di\u0173, klauskite <strong>\"Kod\u0117l taip atsitiko?\"<\/strong> ir gilintis \u012f pagrindinius veiksnius, kurie l\u0117m\u0117 kiekvien\u0105 tiesiogin\u0119 prie\u017east\u012f. Toliau klauskite \"Kod\u0117l?\", kol rasite pagrindin\u0119 (-es) prie\u017east\u012f (-is).<\/li>\n\n\n\n<li><strong>Nustatykite pagrindin\u0119 (-es) prie\u017east\u012f (-is):<\/strong> I\u0161analizuokite prisid\u0117jusius veiksnius ir nustatykite pagrindin\u0119 (-es) prie\u017east\u012f (-is), kuri\u0105 (-ias) pa\u0161alinus problema nepasikartot\u0173. Pagrindin\u0117 prie\u017eastis paprastai yra giliausia esmin\u0117 problema, kuri\u0105 i\u0161sprendus problema b\u016bt\u0173 pa\u0161alinta arba gerokai su\u0161velninta.<\/li>\n\n\n\n<li><strong>Patvirtinkite pagrindin\u0119 (-es) prie\u017east\u012f (-is):<\/strong> Patvirtinkite nustatyt\u0105 (-as) pagrindin\u0119 (-es) prie\u017east\u012f (-is) tikrindami patvirtinamuosius \u012frodymus ir u\u017etikrindami, kad jie atitinka turimus duomenis. \u0160is \u017eingsnis padeda padidinti analiz\u0117s tikslum\u0105 ir patikimum\u0105.<\/li>\n\n\n\n<li><strong>\u012egyvendinti taisomuosius veiksmus: <\/strong>\u012egyvendinkite korekcinius veiksmus. Paskirkite atsakomyb\u0119, nustatykite terminus ir prane\u0161kite apie plan\u0105 atitinkamoms suinteresuotosioms \u0161alims.<\/li>\n\n\n\n<li><strong>Steb\u0117ti ir vertinti: <\/strong>Nuolat steb\u0117kite \u012fgyvendintus taisomuosius veiksmus ir vertinkite j\u0173 veiksmingum\u0105. U\u017etikrinkite, kad problema nepasikartot\u0173, ir \u012fvertinkite \u012fgyvendint\u0173 veiksm\u0173 poveik\u012f.<\/li>\n<\/ol>\n\n\n\n<h2 id=\"h-tools-for-root-cause-analysis\">Pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117s \u012frankiai<\/h2>\n\n\n\n<ol>\n<li><strong>5 kod\u0117l:<\/strong> Taikant \"5 kod\u0117l\" metod\u0105, reikia pakartotinai klausti \"Kod\u0117l?\", kad i\u0161siai\u0161kintum\u0117te pagrindin\u0119 problemos prie\u017east\u012f. Klausdami kod\u0117l bent penkis kartus, galite atskleisti gilesnes prie\u017eastis.<\/li>\n\n\n\n<li><strong>\u017duv\u0173 kaulo diagrama (<\/strong><a href=\"https:\/\/en.wikipedia.org\/wiki\/Ishikawa_diagram\"><strong>I\u0161ikavos diagrama<\/strong><\/a><strong>):<\/strong> \u017duvies kaulo diagrama padeda vizualizuoti galimas problemos prie\u017eastis, suskirstant jas \u012f konkre\u010dias kategorijas, tokias kaip \u017emon\u0117s, procesai, \u012franga, med\u017eiagos ir aplinka.<\/li>\n\n\n\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Fault_tree_analysis\"><strong>Gedim\u0173 med\u017eio analiz\u0117<\/strong><\/a><strong> (LPS):<\/strong> FTA yra grafin\u0117 priemon\u0117, naudojama nustatyti ir analizuoti \u012fvyki\u0173 derinius, galin\u010dius sukelti tam tikr\u0105 nepageidaujam\u0105 rezultat\u0105. Ji padeda nustatyti minimal\u0173 \u012fvyki\u0173 rinkin\u012f, kuris turi \u012fvykti, kad problema \u012fvykt\u0173.<\/li>\n\n\n\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Pareto_analysis\"><strong>Pareto analiz\u0117<\/strong><\/a><strong>: <\/strong>Pareto analiz\u0117 apima galim\u0173 prie\u017eas\u010di\u0173 prioritet\u0173 nustatym\u0105 pagal j\u0173 da\u017enum\u0105 arba poveik\u012f. Ji padeda nustatyti kelias gyvybi\u0161kai svarbias prie\u017eastis, kurios labiausiai prisideda prie problemos atsiradimo.<\/li>\n<\/ol>\n\n\n\n<h2 id=\"h-example-of-root-cause-analysis\">Pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117s pavyzdys<\/h2>\n\n\n\n<p>Paimkime gaminio gamybos defekto pavyzd\u012f<\/p>\n\n\n\n<ol>\n<li><strong>Tiesiogin\u0117 prie\u017eastis: <\/strong>Gaminio gedimas lauke.<\/li>\n\n\n\n<li><strong>Kod\u0117l?:<\/strong> Prasta kokyb\u0117s kontrol\u0117 gamybos proceso metu.<\/li>\n\n\n\n<li><strong>Prie to prisidedantys veiksniai:<\/strong> Netinkamas gamybos personalo mokymas ir pasenusi \u012franga.<\/li>\n\n\n\n<li><strong>Pagrindin\u0117 prie\u017eastis:<\/strong> Nepakankamos investicijos \u012f darbuotoj\u0173 mokym\u0105 ir \u012frangos atnaujinim\u0105.<\/li>\n\n\n\n<li><strong>Korekciniai veiksmai:<\/strong> \u012egyvendinti i\u0161sami\u0105 darbuotoj\u0173 mokymo program\u0105 ir skirti l\u0117\u0161\u0173 \u012frangai atnaujinti.<\/li>\n<\/ol>\n\n\n\n<h3 id=\"h-how-does-the-project-manager-help-with-analysis\">Kaip projekto vadovas padeda atlikti analiz\u0119?<\/h3>\n\n\n\n<p>Projekto vadovui tenka itin svarbus vaidmuo palengvinant pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117s proces\u0105 ir u\u017etikrinant jo veiksmingum\u0105. Toliau pateikiami b\u016bdai, kaip projekto vadovas gali pad\u0117ti atlikti analiz\u0119:<\/p>\n\n\n\n<ol>\n<li><strong>RCA proceso palengvinimas:<\/strong> Projekto vadovas gali vadovauti ir palengvinti RCA proces\u0105 organizuodamas susitikimus, nustatydamas reikiamas priemones ir vadovaudamas komandai atliekant analiz\u0117s etapus. Jie u\u017etikrina, kad analiz\u0117 i\u0161likt\u0173 kryptinga, produktyvi ir vykt\u0173 pagal plan\u0105.<\/li>\n\n\n\n<li><strong>Projekto konteksto pateikimas: <\/strong>Projekt\u0173 vadovai turi i\u0161sam\u0173 supratim\u0105 apie projekto tikslus, u\u017edavinius ir apribojimus. Jie gali suteikti verting\u0105 kontekst\u0105 RCA komandai, pad\u0117dami jai suprasti, kaip problema ar \u012fvykis dera platesn\u0117je projekto strukt\u016broje. \u0160i kontekstin\u0117 informacija padeda nustatyti atitinkamus veiksnius ir pagrindines prie\u017eastis.<\/li>\n\n\n\n<li><strong>atitinkam\u0173 duomen\u0173 rinkimas: <\/strong>Projekt\u0173 vadovai gali pad\u0117ti rinkti ir tvarkyti RCA reikalingus duomenis. Jie gali tur\u0117ti prieig\u0105 prie projekto dokument\u0173, veiklos rodikli\u0173, suinteresuot\u0173j\u0173 \u0161ali\u0173 atsiliepim\u0173 ir kit\u0173 informacijos \u0161altini\u0173. Surinkdamas ir pateikdamas \u0161iuos duomenis RCA komandai, projekto vadovas u\u017etikrina, kad analiz\u0117 b\u016bt\u0173 gerai informuota ir pagr\u012fsta tikslia informacija.<\/li>\n\n\n\n<li><strong>Suinteresuot\u0173j\u0173 \u0161ali\u0173 \u012ftraukimas:<\/strong> Suinteresuotosios \u0161alys da\u017enai turi verting\u0173 \u012f\u017evalg\u0173 ir po\u017ei\u016bri\u0173 \u012f nagrin\u0117jam\u0105 problem\u0105. Projekto vadovas gali \u012ftraukti suinteresuot\u0105sias \u0161alis, pavyzd\u017eiui, komandos narius, klientus ir dalykinius ekspertus, \u012f RCA proces\u0105. Toks dalyvavimas gali suteikti \u012fvairi\u0173 po\u017ei\u016bri\u0173 ir padidinti analiz\u0117s tikslum\u0105 bei i\u0161samum\u0105.<\/li>\n\n\n\n<li><strong>Parama priimant sprendimus:<\/strong> Atlikdama RCA proces\u0105 komanda gali susidurti su keliomis galimomis pagrindin\u0117mis prie\u017eastimis. Projekto vadovas gali pad\u0117ti \u012fvertinti \u0161ias prie\u017eastis ir nustatyti j\u0173 prioritetus, atsi\u017evelgdamas \u012f j\u0173 poveik\u012f, \u012fgyvendinamum\u0105 ir suderinamum\u0105 su projekto tikslais. Jie padeda komandai priimti pagr\u012fstus sprendimus d\u0117l pagrindini\u0173 prie\u017eas\u010di\u0173 pasirinkimo ir tinkam\u0173 taisom\u0173j\u0173 veiksm\u0173 rengimo.<\/li>\n<\/ol>\n\n\n\n<h2 id=\"h-benefits-and-goals-of-root-cause-analysis\">Pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117s nauda ir tikslai<\/h2>\n\n\n\n<p>Pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117s nauda ir tikslai:<\/p>\n\n\n\n<ol>\n<li><strong>Problemos sprendimas: <\/strong>RCA siekiama nustatyti pagrindines problemos ar \u012fvykio prie\u017eastis, o ne tik \u0161alinti simptomus. Nustatant ir \u0161alinant pagrindines prie\u017eastis, RCA padeda i\u0161spr\u0119sti problem\u0105 jos i\u0161takose, o tai padeda rasti ilgalaikius sprendimus.<\/li>\n\n\n\n<li><strong>Pasikartojimo prevencija:<\/strong> Atliekant RCA daugiausia d\u0117mesio skiriama suprasti, kod\u0117l apskritai kilo problema. \u0160alindamos pagrindines prie\u017eastis, organizacijos gali \u012fgyvendinti taisomuosius veiksmus, kad problema nepasikartot\u0173. Tai padeda pagerinti bendr\u0105 veiklos efektyvum\u0105 ir suma\u017einti pana\u0161i\u0173 problem\u0173 tikimyb\u0119 ateityje.<\/li>\n\n\n\n<li><strong>Proces\u0173 tobulinimas:<\/strong> RCA padeda nustatyti proceso neefektyvum\u0105, kli\u016btis ar spragas. Nusta\u010diusios pagrindines prie\u017eastis, organizacijos gali tikslingai tobulinti savo procesus, tod\u0117l padid\u0117ja j\u0173 efektyvumas, suma\u017e\u0117ja s\u0105naudos ir pager\u0117ja kokyb\u0117.<\/li>\n\n\n\n<li><strong>Mokymasis ir dalijimasis \u017einiomis:<\/strong> RCA skatina mokymosi i\u0161 klaid\u0173 ir dalijimosi \u017einiomis kult\u016br\u0105 visoje organizacijoje. Ji skatina komandas analizuoti ir dokumentuoti savo i\u0161vadas, kad kiti gal\u0117t\u0173 pasimokyti i\u0161 ankstesn\u0117s patirties ir i\u0161vengti pana\u0161i\u0173 problem\u0173 savo darbe.<\/li>\n<\/ol>\n\n\n\n<h2 id=\"h-principles-of-root-cause-analysis\">Pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117s principai<\/h2>\n\n\n\n<p>Atliekant pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0119 vadovaujamasi keliais pagrindiniais principais, kurie padeda u\u017etikrinti jos veiksmingum\u0105 ir tikslum\u0105. \u0160ie principai:<\/p>\n\n\n\n<h3 id=\"h-systemic-approach\">Sisteminis po\u017ei\u016bris<\/h3>\n\n\n\n<p>RCA nagrin\u0117ja problem\u0105 platesniame sistemos ar proceso, kuriame ji kilo, kontekste. Ji pripa\u017e\u012fsta, kad problemos da\u017enai yra tarpusavyje susijusi\u0173 veiksni\u0173 ir \u012fvairi\u0173 komponent\u0173 s\u0105veikos rezultatas. Taikant sistemin\u012f po\u017ei\u016br\u012f, RCA siekiama suprasti visos sistemos dinamik\u0105 ir nustatyti, kaip skirtingi elementai prisideda prie problemos atsiradimo.<\/p>\n\n\n\n<h3 id=\"h-fact-based-analysis\">Faktais pagr\u012fsta analiz\u0117<\/h3>\n\n\n\n<p>RCA remiasi objektyviais duomenimis ir \u012frodymais, o ne subjektyviomis nuomon\u0117mis ar prielaidomis. Joje akcentuojamas atitinkamos informacijos rinkimas, analiz\u0117 ir interpretavimas, siekiant tiksliai nustatyti pagrindines prie\u017eastis. Naudojant patikimus duomenis, RCA skatina grie\u017etesn\u012f ir patikimesn\u012f analiz\u0117s proces\u0105.<\/p>\n\n\n\n<h3 id=\"h-multiple-perspectives\">Kelios perspektyvos<\/h3>\n\n\n\n<p>RCA skatina \u012f analiz\u0117s proces\u0105 \u012ftraukti \u012fvairias suinteresuot\u0105sias \u0161alis ir po\u017ei\u016brius. Skirtingi asmenys ar komandos gali tur\u0117ti verting\u0173 \u012f\u017evalg\u0173, patirties ar \u017eini\u0173, susijusi\u0173 su problema. \u012etraukiant \u012fvairius po\u017ei\u016brius, RCA padeda visapusi\u0161kai suprasti problem\u0105 ir j\u0105 lemian\u010dias prie\u017eastis.<\/p>\n\n\n\n<h2 id=\"h-when-to-perform-a-root-cause-analysis\">Kada atlikti pagrindin\u0117s prie\u017easties analiz\u0119?<\/h2>\n\n\n\n<p>Pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117 tur\u0117t\u0173 b\u016bti atliekama \u012fvairiose situacijose, kai organizacija ar asmuo nori suprasti pagrindines problemos ar \u012fvykio prie\u017eastis. \u0160tai keletas da\u017eniausiai pasitaikan\u010di\u0173 scenarij\u0173, kai naudinga atlikti RCA:<\/p>\n\n\n\n<ol>\n<li><strong>Dideli incidentai ar nes\u0117km\u0117s:<\/strong> \u012evykus reik\u0161mingam incidentui, gedimui ar avarijai, RCA gali pad\u0117ti nustatyti pagrindines prie\u017eastis, kad ateityje b\u016bt\u0173 i\u0161vengta pana\u0161i\u0173 incident\u0173. Tai gali b\u016bti \u012frangos gedimai, sistemos sutrikimai, saugos incidentai arba projekt\u0173 nes\u0117km\u0117s.<\/li>\n\n\n\n<li><strong>L\u0117tin\u0117s arba pasikartojan\u010dios problemos: <\/strong>Jei problema i\u0161lieka arba nuolat kartojasi, RCA gali pad\u0117ti nustatyti pagrindines jos atsiradimo prie\u017eastis. Tai gali b\u016bti klient\u0173 skundai, kokyb\u0117s defektai, gamybos v\u0117lavimai ar paslaug\u0173 teikimo sutrikimai.<\/li>\n\n\n\n<li><strong>Netik\u0117ti veiklos rezultat\u0173 svyravimai: <\/strong>Kai atsiranda nepaai\u0161kinam\u0173 veiklos rodikli\u0173 svyravim\u0173, pavyzd\u017eiui, staiga suma\u017e\u0117ja produktyvumas, padaug\u0117ja klaid\u0173 arba suma\u017e\u0117ja klient\u0173 pasitenkinimas, RCA gali atskleisti pagrindines prie\u017eastis ir pad\u0117ti atkurti na\u0161um\u0105.<\/li>\n\n\n\n<li><strong>Klient\u0173 atsiliepimai arba nepasitenkinimas:<\/strong> Kai klientai rei\u0161kia nepasitenkinim\u0105, pateikia neigiamus atsiliepimus arba prane\u0161a apie problemas, susijusias su produktais ar paslaugomis, RCA gali pad\u0117ti i\u0161siai\u0161kinti pagrindines prie\u017eastis ir padidinti klient\u0173 pasitenkinim\u0105. Ji leid\u017eia organizacijoms spr\u0119sti sistemines problemas, o ne gydyti tik simptomus.<\/li>\n<\/ol>\n\n\n\n<h2 id=\"h-the-3-rs-of-root-cause-analysis\">Trys pagrindin\u0117s prie\u017easties analiz\u0117s principai<\/h2>\n\n\n\n<p>Pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117s (angl. root cause analysis, RCA) \"3 R\" rei\u0161kia tris esminius analiz\u0117s proceso komponentus. Jie yra \u0161ie:<\/p>\n\n\n\n<h3 id=\"h-recognize\">Atpa\u017einkite<\/h3>\n\n\n\n<p>Pirmasis RCA \u017eingsnis - atpa\u017einti ir pripa\u017einti, kad problema ar \u012fvykis \u012fvyko. Tai apima problemos po\u017eymi\u0173 ar simptom\u0173 nustatym\u0105, jos poveikio supratim\u0105 ir u\u017etikrinim\u0105, kad jai b\u016bt\u0173 skiriamas reikiamas d\u0117mesys ir i\u0161tekliai analizei.<\/p>\n\n\n\n<h3 id=\"h-react\">Reaguoti<\/h3>\n\n\n\n<p>Atpa\u017einus problem\u0105, svarbu reaguoti greitai ir tinkamai. Tai rei\u0161kia, kad reikia prad\u0117ti RCA proces\u0105, suburti speciali\u0105 komand\u0105 ir skirti reikiamus i\u0161teklius, kad problema b\u016bt\u0173 nuodugniai i\u0161tirta. Skubus reagavimas padeda i\u0161vengti tolesni\u0173 pasekmi\u0173 ir u\u017etikrina, kad RCA procesas b\u016bt\u0173 prad\u0117tas nedelsiant.<\/p>\n\n\n\n<h3 id=\"h-resolve\">I\u0161spr\u0119sti<\/h3>\n\n\n\n<p>Galutinis RCA tikslas - i\u0161spr\u0119sti problem\u0105 nustatant ir \u0161alinant jos pagrindines prie\u017eastis. Tam reikia atlikti sistemin\u0119 analiz\u0119, nustatyti prisid\u0117jusius veiksnius ir \u012fsigilinti, kad b\u016bt\u0173 atskleistos pagrindin\u0117s prie\u017eastys. I\u0161sprendusios pagrindines prie\u017eastis, organizacijos gali \u012fgyvendinti veiksmingus taisomuosius veiksmus, kad problema nepasikartot\u0173 ateityje.<\/p>\n\n\n\n<h2 id=\"h-conclusion\">I\u0161vada<\/h2>\n\n\n\n<p>Apibendrinant galima teigti, kad pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0117 yra vertinga praktika \u012fvairi\u0173 pramon\u0117s \u0161ak\u0173 organizacijoms. Taikydamos RCA principus ir naudodamos tinkamus metodus, organizacijos gali veiksmingai nustatyti ir \u0161alinti pagrindines problem\u0173 ir \u012fvyki\u0173 prie\u017eastis.&nbsp;<\/p>\n\n\n\n<h2 id=\"h-communicate-science-visually-with-the-power-of-the-best-and-free-infographic-maker\">Perteikite moksl\u0105 vizualiai, naudodami geriausi\u0105 ir nemokam\u0105 infografik\u0173 k\u016brimo \u012frank\u012f<\/h2>\n\n\n\n<p>Ar kada nors susim\u0105st\u0117te, kaip vieni moksliniai straipsniai ar plakatai sulaukia daugiau per\u017ei\u016br\u0173 ir patvirtinim\u0173 nei kiti? \u017dinoma, svarbu kokyb\u0117, bet ar viskas priklauso nuo straipsnio kokyb\u0117s? Ne, yra daug kit\u0173 veiksni\u0173, pavyzd\u017eiui, svarbu kalbos paprastumas ir pateikimas pasitelkiant grafines santraukas ir vaizdin\u0119 med\u017eiag\u0105.&nbsp;<\/p>\n\n\n\n<p>Naudodami tokius vaizdinius taip pat galite i\u0161ry\u0161kinti savo darb\u0105. <a href=\"https:\/\/mindthegraph.com\" target=\"_blank\" rel=\"noreferrer noopener\">Mind the Graph<\/a> tai \u012frankis, padedantis vizualiai perteikti moksl\u0105 pasitelkiant geriausi\u0173 ir nemokam\u0173 infografik\u0173 gali\u0105. U\u017esiregistruokite dabar!<\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"1362\" height=\"900\" src=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/09\/mtg-medical-science.gif\" alt=\"\" class=\"wp-image-29668\"\/><\/figure><\/div>\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"is-layout-flex wp-block-buttons\">\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/mindthegraph.com\/\" style=\"border-radius:50px;background-color:#dc1866\" target=\"_blank\" rel=\"noreferrer noopener\">Prad\u0117kite kurti su Mind the Graph<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:44px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>","protected":false},"excerpt":{"rendered":"<p>Efektyviai spr\u0119skite problemas naudodami pagrindini\u0173 prie\u017eas\u010di\u0173 analiz\u0119. Su\u017einokite jos metodik\u0105, naud\u0105 ir praktin\u012f pritaikym\u0105.<\/p>","protected":false},"author":33,"featured_media":29703,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>From Symptoms To Solutions: The Art Of Root Cause Analysis - Mind the Graph Blog<\/title>\n<meta name=\"description\" content=\"Unlock effective problem-solving with root cause analysis. Learn its methodology, benefits, and practical applications.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mindthegraph.com\/blog\/lt\/\u0430\u043d\u0430\u043b\u0438\u0437-\u043a\u043e\u0440\u043d\u0435\u0432\u044b\u0445-\u043f\u0440\u0438\u0447\u0438\u043d\/\" \/>\n<meta property=\"og:locale\" content=\"lt_LT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"From Symptoms To Solutions: The Art Of Root Cause Analysis\" \/>\n<meta property=\"og:description\" content=\"Unlock effective problem-solving with root cause analysis. Learn its methodology, benefits, and practical applications.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mindthegraph.com\/blog\/lt\/\u0430\u043d\u0430\u043b\u0438\u0437-\u043a\u043e\u0440\u043d\u0435\u0432\u044b\u0445-\u043f\u0440\u0438\u0447\u0438\u043d\/\" \/>\n<meta property=\"og:site_name\" content=\"Mind the Graph Blog\" \/>\n<meta property=\"article:published_time\" content=\"2023-09-29T12:11:20+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-09-27T12:22:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/09\/root-cause-analysis-blog.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1123\" \/>\n\t<meta property=\"og:image:height\" content=\"612\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Sowjanya Pedada\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"From Symptoms To Solutions: The Art Of Root Cause Analysis\" \/>\n<meta name=\"twitter:description\" content=\"Unlock effective problem-solving with root cause analysis. Learn its methodology, benefits, and practical applications.\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/09\/root-cause-analysis-blog.jpg\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sowjanya Pedada\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"9 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"From Symptoms To Solutions: The Art Of Root Cause Analysis - Mind the Graph Blog","description":"Unlock effective problem-solving with root cause analysis. Learn its methodology, benefits, and practical applications.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/mindthegraph.com\/blog\/lt\/\u0430\u043d\u0430\u043b\u0438\u0437-\u043a\u043e\u0440\u043d\u0435\u0432\u044b\u0445-\u043f\u0440\u0438\u0447\u0438\u043d\/","og_locale":"lt_LT","og_type":"article","og_title":"From Symptoms To Solutions: The Art Of Root Cause Analysis","og_description":"Unlock effective problem-solving with root cause analysis. Learn its methodology, benefits, and practical applications.","og_url":"https:\/\/mindthegraph.com\/blog\/lt\/\u0430\u043d\u0430\u043b\u0438\u0437-\u043a\u043e\u0440\u043d\u0435\u0432\u044b\u0445-\u043f\u0440\u0438\u0447\u0438\u043d\/","og_site_name":"Mind the Graph Blog","article_published_time":"2023-09-29T12:11:20+00:00","article_modified_time":"2023-09-27T12:22:23+00:00","og_image":[{"width":1123,"height":612,"url":"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/09\/root-cause-analysis-blog.jpg","type":"image\/jpeg"}],"author":"Sowjanya Pedada","twitter_card":"summary_large_image","twitter_title":"From Symptoms To Solutions: The Art Of Root Cause Analysis","twitter_description":"Unlock effective problem-solving with root cause analysis. Learn its methodology, benefits, and practical applications.","twitter_image":"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/09\/root-cause-analysis-blog.jpg","twitter_misc":{"Written by":"Sowjanya Pedada","Est. reading time":"9 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/mindthegraph.com\/blog\/ru\/%d0%b0%d0%bd%d0%b0%d0%bb%d0%b8%d0%b7-%d0%ba%d0%be%d1%80%d0%bd%d0%b5%d0%b2%d1%8b%d1%85-%d0%bf%d1%80%d0%b8%d1%87%d0%b8%d0%bd\/","url":"https:\/\/mindthegraph.com\/blog\/ru\/%d0%b0%d0%bd%d0%b0%d0%bb%d0%b8%d0%b7-%d0%ba%d0%be%d1%80%d0%bd%d0%b5%d0%b2%d1%8b%d1%85-%d0%bf%d1%80%d0%b8%d1%87%d0%b8%d0%bd\/","name":"From Symptoms To Solutions: The Art Of Root Cause Analysis - Mind the Graph Blog","isPartOf":{"@id":"https:\/\/mindthegraph.com\/blog\/#website"},"datePublished":"2023-09-29T12:11:20+00:00","dateModified":"2023-09-27T12:22:23+00:00","author":{"@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/1809367ac22d998ef1780e61c942bd9e"},"description":"Unlock effective problem-solving with root cause analysis. Learn its methodology, benefits, and practical applications.","breadcrumb":{"@id":"https:\/\/mindthegraph.com\/blog\/ru\/%d0%b0%d0%bd%d0%b0%d0%bb%d0%b8%d0%b7-%d0%ba%d0%be%d1%80%d0%bd%d0%b5%d0%b2%d1%8b%d1%85-%d0%bf%d1%80%d0%b8%d1%87%d0%b8%d0%bd\/#breadcrumb"},"inLanguage":"lt-LT","potentialAction":[{"@type":"ReadAction","target":["https:\/\/mindthegraph.com\/blog\/ru\/%d0%b0%d0%bd%d0%b0%d0%bb%d0%b8%d0%b7-%d0%ba%d0%be%d1%80%d0%bd%d0%b5%d0%b2%d1%8b%d1%85-%d0%bf%d1%80%d0%b8%d1%87%d0%b8%d0%bd\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/mindthegraph.com\/blog\/ru\/%d0%b0%d0%bd%d0%b0%d0%bb%d0%b8%d0%b7-%d0%ba%d0%be%d1%80%d0%bd%d0%b5%d0%b2%d1%8b%d1%85-%d0%bf%d1%80%d0%b8%d1%87%d0%b8%d0%bd\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/mindthegraph.com\/blog\/"},{"@type":"ListItem","position":2,"name":"From Symptoms To Solutions: The Art Of Root Cause Analysis"}]},{"@type":"WebSite","@id":"https:\/\/mindthegraph.com\/blog\/#website","url":"https:\/\/mindthegraph.com\/blog\/","name":"Mind the Graph Blog","description":"Your science can be beautiful!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/mindthegraph.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"lt-LT"},{"@type":"Person","@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/1809367ac22d998ef1780e61c942bd9e","name":"Sowjanya Pedada","image":{"@type":"ImageObject","inLanguage":"lt-LT","@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/5498cb1111b92c813c76ae76ad5b1dd3?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/5498cb1111b92c813c76ae76ad5b1dd3?s=96&d=mm&r=g","caption":"Sowjanya Pedada"},"description":"Sowjanya is a passionate writer and an avid reader. She holds MBA in Agribusiness Management and now is working as a content writer. She loves to play with words and hopes to make a difference in the world through her writings. Apart from writing, she is interested in reading fiction novels and doing craftwork. She also loves to travel and explore different cuisines and spend time with her family and friends.","url":"https:\/\/mindthegraph.com\/blog\/lt\/author\/sowjanya\/"}]}},"_links":{"self":[{"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/posts\/29701"}],"collection":[{"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/users\/33"}],"replies":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/comments?post=29701"}],"version-history":[{"count":2,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/posts\/29701\/revisions"}],"predecessor-version":[{"id":29704,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/posts\/29701\/revisions\/29704"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/media\/29703"}],"wp:attachment":[{"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/media?parent=29701"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/categories?post=29701"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/tags?post=29701"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}