[{"data":1,"prerenderedAt":743},["ShallowReactive",2],{"$fOISGiitMbvLV7RW6RCPPcyslDTyvuSg7D3yzsO4VMZM":3,"$f9iwMXN9-UbHsY41QhdR-7xorAApRCnWQ4qN0HT2RM2o":180},{"_createdAt":4,"_id":5,"_rev":6,"_system":7,"_type":5,"_updatedAt":10,"events":11,"isDraft":59},"2023-05-03T21:37:34Z","marketingMenu","uzeXgSDFKulPoPsr5BQquX",{"base":8},{"id":5,"rev":9},"R791bQM5pDxrgszZMdyKZY","2026-08-31T14:08:15Z",[12,101],{"_createdAt":13,"_id":14,"_rev":15,"_system":16,"_type":19,"_updatedAt":20,"actionLink":21,"actionText":22,"categories":23,"description":37,"endDateTime":38,"eventType":39,"isAllDay":40,"mainImage":41,"menuHeadline":96,"previewImage":97,"startDateTime":99,"title":100},"2024-03-29T19:58:59Z","d2f517a0-504f-4270-953e-5004c5cd18ac","c5VSj2bRGe7sLzsdjmxYgH",{"base":17},{"id":14,"rev":18},"1M5G74w851CzvOgp77tZmW","event","2026-07-23T16:20:04Z","https://www.moresteam.com/simcamp","Sign Up To Join Us",[24,28,31,34],{"_key":25,"_ref":26,"_type":27},"465135113500","ae5f7b26-5cf6-4063-89f4-8ddde0b16d59","reference",{"_key":29,"_ref":30,"_type":27},"02872cecbe12","3c1b8644-eb6f-4358-bdbc-168e2dc4f2ef",{"_key":32,"_ref":33,"_type":27},"afc32d7770f0","934786a9-dfff-4c87-b5cb-1ac4c6663d55",{"_key":35,"_ref":36,"_type":27},"1e7f83103835","d7dacdec-1bf8-4d8c-9e9a-1da29c06a904","Attend MoreSteam SimCamp, a Lean Six Sigma simulations workshop for Master Black Belts and trainers. ","2026-10-22T16:30:00.000Z","Event",true,{"_type":42,"asset":43},"image",{"_createdAt":44,"_id":45,"_rev":46,"_type":47,"_updatedAt":48,"altText":49,"assetId":50,"creditLine":49,"description":49,"extension":51,"metadata":52,"mimeType":85,"opt":86,"originalFilename":91,"path":92,"sha1hash":50,"size":93,"title":49,"uploadId":94,"url":95},"2026-03-31T13:47:21Z","image-7f0b139674c45352e2523647b76d9208e32b303a-185x185-webp","pmnyVwLoY8tQUTz1trFe8C","sanity.imageAsset","2026-03-31T13:47:37Z",null,"7f0b139674c45352e2523647b76d9208e32b303a","webp",{"_type":53,"blurHash":54,"dimensions":55,"hasAlpha":59,"isOpaque":40,"lqip":60,"palette":61},"sanity.imageMetadata","e6ED,#?70Y0Fq}E:tKMA97Vy3V$e{fES5?{{XRCNw[viH$NeKK-h=s",{"_type":56,"aspectRatio":57,"height":58,"width":58},"sanity.imageDimensions",1,185,false,"data:image/jpeg;base64,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",{"_type":62,"darkMuted":63,"darkVibrant":68,"dominant":71,"lightMuted":74,"lightVibrant":78,"muted":81,"vibrant":82},"sanity.imagePalette",{"_type":64,"background":65,"foreground":66,"population":67,"title":66},"sanity.imagePaletteSwatch","#3a6c67","#fff",2.13,{"_type":64,"background":69,"foreground":66,"population":70,"title":66},"#6f6624",1.11,{"_type":64,"background":72,"foreground":66,"population":73,"title":66},"#6c9c64",28.98,{"_type":64,"background":75,"foreground":76,"population":77,"title":66},"#c9c081","#000",0.04,{"_type":64,"background":79,"foreground":76,"population":80,"title":76},"#e6e34b",0.78,{"_type":64,"background":72,"foreground":66,"population":73,"title":66},{"_type":64,"background":83,"foreground":76,"population":84,"title":66},"#e8982b",5.2,"image/webp",{"media":87},{"tags":88},[89],{"_ref":90,"_type":27,"_weak":40},"nJuznou76jLovZ8FxF1LP4","SimCamp-Fall-2023-185x185.webp","images/oq9f4n1v/production/7f0b139674c45352e2523647b76d9208e32b303a-185x185.webp",30716,"KeV0AciGUIUqB7xuTxekfiZAO5lAycqu","https://cdn.sanity.io/images/oq9f4n1v/production/7f0b139674c45352e2523647b76d9208e32b303a-185x185.webp","SimCamp | Oct 19-22",{"_type":42,"asset":98},{"_ref":45,"_type":27},"2026-10-19T16:00:00.000Z","Learn to Facilitate MoreSteam's Lean and DMAIC Training Simulations",{"_createdAt":102,"_id":103,"_rev":104,"_system":105,"_type":19,"_updatedAt":108,"actionLink":109,"actionText":110,"categories":111,"description":127,"endDateTime":128,"eventType":129,"isAllDay":59,"mainImage":130,"menuHeadline":175,"previewImage":176,"startDateTime":178,"title":179},"2023-04-18T17:53:24Z","153c7767-0777-4f79-bd9f-18652961581d","2g4bph6Gfgl2d2h9ia2QRs",{"base":106},{"id":103,"rev":107},"xacQZuBTbvuqeQ4wPnGHQ7","2026-07-23T16:18:06Z","https://www.moresteam.com/master-series/root-cause-analysis-fundamentals","Register Today",[112,115,118,121,124],{"_key":113,"_ref":114,"_type":27},"710322f2d349","8baf9cfe-0648-49e2-9579-5ff557dffca3",{"_key":116,"_ref":117,"_type":27},"22490c7e79a1","46ca6f5f-3433-4903-a8fe-de4973aa81ef",{"_key":119,"_ref":120,"_type":27},"6162d4b0121b","66950479-1495-42dc-af63-c0884ab6b066",{"_key":122,"_ref":123,"_type":27},"95aa7cdf3879","344b1c41-1e60-49c9-935a-a94b73f21261",{"_key":125,"_ref":126,"_type":27},"7afe42f6e988","f5c4add3-807e-411f-9483-677d5f9ab745","Most problems are symptoms of deeper system conditions. Learn practical root cause analysis with Peg Pennington and learn to uncover the causes behind recurring issues.","2026-10-20T16:00:00.000Z","Master Series",{"_type":42,"asset":131},{"_createdAt":132,"_id":133,"_rev":134,"_type":47,"_updatedAt":135,"altText":136,"assetId":137,"creditLine":49,"description":49,"extension":138,"metadata":139,"mimeType":164,"opt":165,"originalFilename":170,"path":171,"sha1hash":137,"size":172,"title":49,"uploadId":173,"url":174},"2026-04-17T15:00:04Z","image-29850b02c405fe4dfbd37b75f17d8dc06a9b8a97-386x386-png","n54XUON695cO06xFcbMffR","2026-04-17T15:01:09Z","Introduction to Root Cause Analysis Master Series Badge","29850b02c405fe4dfbd37b75f17d8dc06a9b8a97","png",{"_type":53,"blurHash":140,"dimensions":141,"hasAlpha":40,"isOpaque":59,"lqip":143,"palette":144},"eKHLe^xa00RkIURQayt7kBRj00R*~pt5%2%MofRQV[tQWTjYn+bING",{"_type":56,"aspectRatio":57,"height":142,"width":142},386,"data:image/png;base64,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",{"_type":62,"darkMuted":145,"darkVibrant":148,"dominant":151,"lightMuted":154,"lightVibrant":157,"muted":160,"vibrant":161},{"_type":64,"background":146,"foreground":66,"population":147,"title":66},"#262b4b",2.88,{"_type":64,"background":149,"foreground":66,"population":150,"title":66},"#04153f",0.17,{"_type":64,"background":152,"foreground":66,"population":153,"title":66},"#99649d",3.9,{"_type":64,"background":155,"foreground":76,"population":156,"title":66},"#b0b8ca",0.52,{"_type":64,"background":158,"foreground":76,"population":159,"title":66},"#d5c1a4",0.11,{"_type":64,"background":152,"foreground":66,"population":153,"title":66},{"_type":64,"background":162,"foreground":76,"population":163,"title":66},"#f5a553",0.43,"image/png",{"media":166},{"tags":167},[168],{"_ref":169,"_type":27,"_weak":40},"rnXCKoKrhbfNHMO1JWyxBh","2026-MasterSeries-RCA-Badge.png","images/oq9f4n1v/production/29850b02c405fe4dfbd37b75f17d8dc06a9b8a97-386x386.png",41782,"ypppdg5gJ2Qy9aFm9YDPap0ggnHliUSk","https://cdn.sanity.io/images/oq9f4n1v/production/29850b02c405fe4dfbd37b75f17d8dc06a9b8a97-386x386.png","Fundamentals of RCA | Oct 13th & 20th",{"_type":42,"asset":177},{"_ref":133,"_type":27},"2026-10-13T15:00:00.000Z","Earn a Certificate in Root Cause Analysis",{"authors":181,"badgeImage":347,"courseId":388,"endDate":389,"flyerDownloadPdf":49,"groupPriceUsd":49,"introParagraph":390,"isDraft":59,"isEnrollmentLive":40,"mainImage":461,"masterSeriesSessions":507,"masterSeriesWave":654,"page":657,"pageContentArray":49,"previewImage":717,"priceUsd":735,"shortCourseName":736,"shouldIncludeEngineRoomSection":40,"shouldShowOnWebinarIndex":40,"subtitle":737,"whatsIncluded":738},[182,281],{"_createdAt":183,"_id":184,"_rev":185,"_system":186,"_type":189,"_updatedAt":190,"bio":191,"company":223,"employeeRef":224,"image":232,"linkedIn":278,"name":238,"slug":279,"title":280},"2023-01-10T19:09:52Z","943093b7-ac69-4d4b-842d-7bdb3ed5ffe0","tUgkK4x2jCQXvq6LzKCMoF",{"base":187},{"id":184,"rev":188},"whFMyEqh8uCoqn6L6Bccx4","author","2026-08-24T20:21:39Z",[192,215],{"_key":193,"_type":194,"children":195,"markDefs":210,"style":214},"a90ffea87695","block",[196,201,206],{"_key":197,"_type":198,"marks":199,"text":200},"f97b815e223c","span",[],"Peg Pennington joined MoreSteam's executive team in 2018 and today leads all company operations as President. Previously, Peg was the Executive Director of the Center for Operational Excellence at The Ohio State University, where she helped shape the Master of Business Operational Excellence ('MBOE') program and strengthen standards for Lean Six Sigma certification. She serves on the board of directors for the ",{"_key":202,"_type":198,"marks":203,"text":205},"6ae1a5e85c8d",[204],"04bce5688ff5","Lean Enterprise Institute (LEI)",{"_key":207,"_type":198,"marks":208,"text":209},"a6e12149c97c",[],". A recognized voice in operational excellence, Peg speaks at over a dozen national conferences each year and leads product workshops.",[211],{"_key":204,"_type":212,"href":213},"link","https://www.lean.org/about-lei/board-of-directors/peg-pennington/","normal",{"_key":216,"_type":194,"children":217,"markDefs":222,"style":214},"49e5e81159b0",[218],{"_key":219,"_type":198,"marks":220,"text":221},"6ffc8c74a854",[],"Before joining MoreSteam, Peg was the Executive Director of the Center for Operational Excellence at The Ohio State University. Peg holds a bachelor’s degree in finance from Michigan State University and an MBA from the University of Dayton.",[],"MoreSteam",{"_id":225,"_type":226,"firstName":227,"lastName":228,"slug":229},"c2cf7dbd-5a9f-4a8b-8723-505b9d86ca21","employee","Peg","Pennington",{"_type":230,"current":231},"slug","peg-pennington",{"_type":42,"asset":233},{"_createdAt":234,"_id":235,"_rev":236,"_type":47,"_updatedAt":237,"altText":238,"assetId":239,"description":49,"extension":240,"metadata":241,"mimeType":265,"opt":266,"originalFilename":273,"path":274,"sha1hash":239,"size":275,"title":49,"uploadId":276,"url":277},"2023-02-17T21:20:25Z","image-5248196e5809506710863149b712a41dab978bf5-200x200-jpg","DpFUi3O9svzTyr0voh2G4Q","2025-01-22T17:45:29Z","Peg Pennington","5248196e5809506710863149b712a41dab978bf5","jpg",{"_type":53,"blurHash":242,"dimensions":243,"hasAlpha":59,"isOpaque":40,"lqip":245,"palette":246},"eNKm%zxuGZNG-V~pWBs:jZIV0fjZw0bHX6?GkCNGj@bHIpay$%j?R*",{"_type":56,"aspectRatio":57,"height":244,"width":244},200,"data:image/jpeg;base64,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",{"_type":62,"darkMuted":247,"darkVibrant":250,"dominant":252,"lightMuted":255,"lightVibrant":258,"muted":259,"vibrant":262},{"_type":64,"background":248,"foreground":66,"population":249,"title":66},"#493726",0.66,{"_type":64,"background":251,"foreground":66,"population":150,"title":66},"#2f2014",{"_type":64,"background":253,"foreground":76,"population":254,"title":66},"#eab399",9.81,{"_type":64,"background":256,"foreground":76,"population":257,"title":66},"#ccb99c",4.54,{"_type":64,"background":253,"foreground":76,"population":254,"title":66},{"_type":64,"background":260,"foreground":66,"population":261,"title":66},"#9e755b",2.11,{"_type":64,"background":263,"foreground":76,"population":264,"title":66},"#e4a17a",0.03,"image/jpeg",{"media":267},{"tags":268},[269,271],{"_ref":270,"_type":27,"_weak":40},"nJuznou76jLovZ8FximjGq",{"_ref":272,"_type":27,"_weak":40},"Oer5e2DezxTuShP7Rhm2Iq","ppennington_author.jpg","images/oq9f4n1v/production/5248196e5809506710863149b712a41dab978bf5-200x200.jpg",10986,"V1CNuOnUIsvUQgH9oTGe06t0x6MxYcMI","https://cdn.sanity.io/images/oq9f4n1v/production/5248196e5809506710863149b712a41dab978bf5-200x200.jpg","https://www.linkedin.com/in/peg-pennington-4a70a03/?original_referer=http%3A%2F%2Flocalhost%3A3000%2F",{"_type":230,"current":231},"President",{"_createdAt":282,"_id":283,"_rev":284,"_system":285,"_type":189,"_updatedAt":288,"bio":289,"company":223,"employeeRef":298,"image":304,"linkedIn":49,"name":310,"slug":345,"title":346},"2025-11-26T15:09:15Z","417709ce-5381-4bf2-a7fe-1235cec58f23","tUgkK4x2jCQXvq6LzKBeeh",{"base":286},{"id":283,"rev":287},"yLjzPDnEPDnZbsBE0oCvy7","2026-08-24T20:19:58Z",[290],{"_key":291,"_type":194,"children":292,"markDefs":297,"style":214},"498767cdebf8",[293],{"_key":294,"_type":198,"marks":295,"text":296},"5ea64174bfb2",[],"Thomas DeMarco is a Principal Statistician at MoreSteam, where he helps develop and teach practical, real-world statistical methods for continuous improvement professionals. Before joining MoreSteam in Spring 2025, he was an Industrial Statistician at Eastman Chemical, partnering with engineers and chemists across manufacturing and R&D to design and analyze over 100 formal experiments. Thomas has spent years teaching practitioners how to apply Design of Experiments (DOE) and other statistical tools to make better, data-driven decisions in complex processes. He holds both a B.S. and M.S. in Mathematical Sciences with a concentration in Statistics from Clemson University and is known for making advanced statistical concepts approachable, relevant, and actionable.",[],{"_id":299,"_type":226,"firstName":300,"lastName":301,"slug":302},"8a33e823-a34c-4e13-ae56-ee537f046f75","Thomas","DeMarco",{"_type":230,"current":303},"thomas-demarco",{"_type":42,"asset":305},{"_createdAt":306,"_id":307,"_rev":308,"_type":47,"_updatedAt":309,"altText":310,"assetId":311,"creditLine":49,"description":49,"extension":138,"metadata":312,"mimeType":164,"opt":336,"originalFilename":340,"path":341,"sha1hash":311,"size":342,"title":49,"uploadId":343,"url":344},"2025-12-02T22:32:15Z","image-9d19157da9121c8d71b8308185e26b65c7006c42-600x600-png","P6h3aQpzv40g9XSVyWVA6W","2025-12-02T22:32:38Z","Thomas DeMarco","9d19157da9121c8d71b8308185e26b65c7006c42",{"_type":53,"blurHash":313,"dimensions":314,"hasAlpha":40,"isOpaque":59,"lqip":316,"palette":317},"eED90MxZ00Io}t-mbIIon%tR02ay}[bHI.9Zae-pofRjRPR+xaxaNH",{"_type":56,"aspectRatio":57,"height":315,"width":315},600,"data:image/png;base64,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",{"_type":62,"darkMuted":318,"darkVibrant":321,"dominant":324,"lightMuted":325,"lightVibrant":328,"muted":331,"vibrant":334},{"_type":64,"background":319,"foreground":66,"population":320,"title":66},"#514c2f",13.37,{"_type":64,"background":322,"foreground":66,"population":323,"title":66},"#7a1337",0.4,{"_type":64,"background":319,"foreground":66,"population":320,"title":66},{"_type":64,"background":326,"foreground":76,"population":327,"title":66},"#d0a89d",0.9,{"_type":64,"background":329,"foreground":76,"population":330,"title":76},"#efc0b6",7.6,{"_type":64,"background":332,"foreground":66,"population":333,"title":66},"#b06d62",1.16,{"_type":64,"background":335,"foreground":66,"population":264,"title":66},"#a53e4c",{"media":337},{"tags":338},[339],{"_ref":270,"_type":27,"_weak":40},"Thomas-DeMarco-Circle.png","images/oq9f4n1v/production/9d19157da9121c8d71b8308185e26b65c7006c42-600x600.png",605880,"1CACKPLXVZbmHTQafsogXuOySRKg7bPN","https://cdn.sanity.io/images/oq9f4n1v/production/9d19157da9121c8d71b8308185e26b65c7006c42-600x600.png",{"_type":230,"current":303},"Principal Statistician",{"asset":348},{"_createdAt":349,"_id":350,"_rev":351,"_type":47,"_updatedAt":352,"altText":353,"assetId":354,"creditLine":49,"description":49,"extension":138,"metadata":355,"mimeType":164,"opt":379,"originalFilename":383,"path":384,"sha1hash":354,"size":385,"title":49,"uploadId":386,"url":387},"2026-03-04T14:45:01Z","image-bf0a2dff9ec7e0a66c2cef247cb4208bf98fd62b-386x386-png","3XTaqpjUxCXtHrlt1lCpoy","2026-03-04T14:46:50Z","MoreSteam Master Series: Advanced Root Cause Analysis 2026 Badge","bf0a2dff9ec7e0a66c2cef247cb4208bf98fd62b",{"_type":53,"blurHash":356,"dimensions":357,"hasAlpha":40,"isOpaque":59,"lqip":358,"palette":359},"eJHCJ|xa00NaE1NZa|xaoLNG00R*_Mso%2$+ofI.R*xan4jFXQX8M|",{"_type":56,"aspectRatio":57,"height":142,"width":142},"data:image/png;base64,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",{"_type":62,"darkMuted":360,"darkVibrant":363,"dominant":366,"lightMuted":369,"lightVibrant":370,"muted":373,"vibrant":376},{"_type":64,"background":361,"foreground":66,"population":362,"title":66},"#353955",0.55,{"_type":64,"background":364,"foreground":66,"population":365,"title":66},"#04193f",0.26,{"_type":64,"background":367,"foreground":76,"population":368,"title":66},"#abc8d2",1.03,{"_type":64,"background":367,"foreground":76,"population":368,"title":66},{"_type":64,"background":371,"foreground":76,"population":372,"title":66},"#d4806c",0.01,{"_type":64,"background":374,"foreground":76,"population":375,"title":66},"#6dbbae",0.54,{"_type":64,"background":377,"foreground":66,"population":378,"title":66},"#e75547",0.47,{"media":380},{"tags":381},[382],{"_ref":169,"_type":27,"_weak":40},"2025-Advanced-RCA-MasterSeries.png","images/oq9f4n1v/production/bf0a2dff9ec7e0a66c2cef247cb4208bf98fd62b-386x386.png",44769,"cQq8l3iaGfzaEH2fufCDv5ETD8BSmJ0f","https://cdn.sanity.io/images/oq9f4n1v/production/bf0a2dff9ec7e0a66c2cef247cb4208bf98fd62b-386x386.png",2011,"2026-11-19",[391,399,416,424,433,441,453],{"_key":392,"_type":194,"children":393,"markDefs":398,"style":214},"c481342a9ee3",[394],{"_key":395,"_type":198,"marks":396,"text":397},"f54dbdd3ca760",[],"In an era of mountains of data, traditional root cause analysis (RCA) methods like 5-Whys and Fishbone Diagrams can struggle to help you pinpoint process issues. Modern problems—whether reducing product defects, preventing process bottlenecks, or curbing customer churn—demand advanced approaches that can handle the complexity of interdependent causes. ",[],{"_key":400,"_type":194,"children":401,"markDefs":415,"style":214},"3c23459843e9",[402,406,411],{"_key":403,"_type":198,"marks":404,"text":405},"90cde0efa0f00",[],"This ",{"_key":407,"_type":198,"marks":408,"text":410},"90cde0efa0f01",[409],"strong","3-week live masterclass",{"_key":412,"_type":198,"marks":413,"text":414},"90cde0efa0f02",[]," is designed for quality managers, process engineers, Six Sigma practitioners, and continuous improvement professionals ready to go beyond the basics and tackle complex challenges with confidence. You’ll learn advanced RCA techniques like regression analysis and decision trees, explore real-world case studies from industries like manufacturing and healthcare, and gain hands-on practice through interactive exercises.",[],{"_key":417,"_type":194,"children":418,"markDefs":423,"style":214},"f03e1254a5b3",[419],{"_key":420,"_type":198,"marks":421,"text":422},"21968b00ddc60",[],"With 60-day access to EngineRoom, our powerful statistical analysis software, you’ll have the tools to analyze data, uncover hidden patterns, and move from reactive problem-solving to predictive insights that prevent issues before they arise. ",[],{"_key":425,"_type":194,"children":426,"markDefs":431,"style":432},"8fc9f67266e3",[427],{"_key":428,"_type":198,"marks":429,"text":430},"9149f5785ee50",[],"Register Today!",[],"h3",{"_key":434,"_type":194,"children":435,"markDefs":440,"style":214},"32536607f2ee",[436],{"_key":437,"_type":198,"marks":438,"text":439},"e491eeb1d7ff0",[],"Seats are limited to ensure a highly interactive experience. Don’t miss your chance to master advanced RCA techniques and transform the way you tackle root cause analysis.",[],{"_key":442,"_type":194,"children":443,"markDefs":452,"style":214},"7a74a01987e7",[444,448],{"_key":445,"_type":198,"marks":446,"text":447},"308b6b6126080",[409],"Investment:",{"_key":449,"_type":198,"marks":450,"text":451},"308b6b6126081",[]," $300 for all three sessions (includes materials, software access, and session recordings).",[],{"_key":454,"_type":194,"children":455,"markDefs":460,"style":214},"8ccfc736f09f",[456],{"_key":457,"_type":198,"marks":458,"text":459},"acce5c8ce6020",[],"",[],{"asset":462},{"_createdAt":463,"_id":464,"_rev":465,"_type":47,"_updatedAt":466,"altText":467,"assetId":468,"description":49,"extension":138,"metadata":469,"mimeType":164,"opt":496,"originalFilename":502,"path":503,"sha1hash":468,"size":504,"title":49,"uploadId":505,"url":506},"2025-06-11T18:13:58Z","image-50b15fa90e615dc24ced667b3b9ee8a9dc579daa-4585x688-png","5sLfBpVSCPqS3qu5fIR2IE","2025-06-11T18:14:23Z","Root Cause Analysis Training","50b15fa90e615dc24ced667b3b9ee8a9dc579daa",{"_type":53,"blurHash":470,"dimensions":471,"hasAlpha":59,"isOpaque":40,"lqip":475,"palette":476},"46Bz]}D]4ay-0q",{"_type":56,"aspectRatio":472,"height":473,"width":474},6.664244186046512,688,4585,"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAADCAIAAAAcOLh5AAAACXBIWXMAABcRAAAXEQHKJvM/AAAAtUlEQVR4nBXL2Q7BQBQAUL+EoJbYXkhEd5Q2lla3Sadzp52pKEr6RiR8sjjvp1IPLtWsbBzzsUqmcjTUoL+hkzBdFsz7gPeFVcm0hDo5Cu+BnQUmDqcWbksgiFBprnkN31q0MO0YLNdARDzzxYNrFyamyZynYnEySu694fiMDYY1H8220UAn/yxI0Njwjn/eOzjbuSYB9cqsK5FD3NOho9ORnSgs8Z8xekWHHO1psCO+bKOuQn72y0YdAJxTqQAAAABJRU5ErkJggg==",{"_type":62,"darkMuted":477,"darkVibrant":480,"dominant":483,"lightMuted":484,"lightVibrant":487,"muted":490,"vibrant":493},{"_type":64,"background":478,"foreground":66,"population":479,"title":66},"#344c74",29.66,{"_type":64,"background":481,"foreground":66,"population":482,"title":66},"#0f666c",0.73,{"_type":64,"background":478,"foreground":66,"population":479,"title":66},{"_type":64,"background":485,"foreground":66,"population":486,"title":66},"#657b1d",0,{"_type":64,"background":488,"foreground":76,"population":489,"title":76},"#cce284",1.62,{"_type":64,"background":491,"foreground":66,"population":492,"title":66},"#5891b1",0.53,{"_type":64,"background":494,"foreground":76,"population":495,"title":66},"#ccd31a",0.09,{"media":497},{"tags":498},[499,500],{"_ref":169,"_type":27,"_weak":40},{"_ref":501,"_type":27,"_weak":40},"32bXXvoROENxjvCxASdMLR","2025-Advanced-RCA-MasterSeries_DesktopHeader.png","images/oq9f4n1v/production/50b15fa90e615dc24ced667b3b9ee8a9dc579daa-4585x688.png",74174,"iBc7MthPoYlbsfsH87wUVW1MGci3Zcv3","https://cdn.sanity.io/images/oq9f4n1v/production/50b15fa90e615dc24ced667b3b9ee8a9dc579daa-4585x688.png",[508,563,609],{"airDate":509,"previewImage":510,"sessionContentList":557,"title":562},"2026-11-05T16:00:00.000Z",{"asset":511},{"_createdAt":512,"_id":513,"_rev":514,"_type":47,"_updatedAt":515,"altText":516,"assetId":517,"description":49,"extension":518,"metadata":519,"mimeType":545,"opt":546,"originalFilename":552,"path":553,"sha1hash":517,"size":554,"title":49,"uploadId":555,"url":556},"2024-11-05T14:58:12Z","image-5eda77d22eeaf5ac7181cec34a956eee9cbf4469-350x175-svg","0xYk3i0i3IUqN42euRJdQV","2025-01-17T22:18:17Z","Master Series Session 1 Graphic","5eda77d22eeaf5ac7181cec34a956eee9cbf4469","svg",{"_type":53,"blurHash":520,"dimensions":521,"hasAlpha":40,"isOpaque":40,"lqip":525,"palette":526},"MJF=v{QC{y].icbYERtiNKbE5k16BB%=ET",{"_type":56,"aspectRatio":522,"height":523,"width":524},2,175,350,"data:image/jpeg;base64,/9j/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAARCAAKABQDASIAAhEBAxEB/8QAGAAAAwEBAAAAAAAAAAAAAAAAAAYHAwT/xAAiEAACAgICAQUBAAAAAAAAAAABAgMEAAURIRIGBxNBcTH/xAAWAQEBAQAAAAAAAAAAAAAAAAADAQL/xAAjEQABAwMCBwAAAAAAAAAAAAABAAIDBBIhEVETFSIxgZLw/9oADAMBAAIRAxEAPwBcGhqPbjia/HArDtnztoi3pLCQUbQlq2JPCV4/4y/v1igzFj2Sf3Kp7WIsnp/ZfIofhTx5DnjN1BdBBfKbxjB037oqh7ZJyYm2jbwsNhLt4rTx09/TFZeo1Mg5C/QOGTvbdbKyB0PM4ZOVtOen1CPjfar/2Q==",{"_type":62,"darkMuted":527,"darkVibrant":530,"dominant":533,"lightMuted":534,"lightVibrant":537,"muted":540,"vibrant":543},{"_type":64,"background":528,"foreground":66,"population":529,"title":66},"#3c4c74",39.89,{"_type":64,"background":531,"foreground":66,"population":532,"title":66},"#23546e",0.2,{"_type":64,"background":528,"foreground":66,"population":529,"title":66},{"_type":64,"background":535,"foreground":76,"population":536,"title":66},"#bcc9da",4.35,{"_type":64,"background":538,"foreground":66,"population":539,"title":66},"#eb5444",8.85,{"_type":64,"background":541,"foreground":66,"population":542,"title":66},"#5b6e9d",0.07,{"_type":64,"background":544,"foreground":76,"population":372,"title":76},"#e4e41c","image/svg+xml",{"media":547},{"tags":548},[549],{"_key":550,"_ref":551,"_type":27,"_weak":40},"6dp3ZpJplRJKsCB5W-MmA","lQ0y5s0sFlKY4sC8XHeY6B","2025-MasterSeries_Session-1.svg","images/oq9f4n1v/production/5eda77d22eeaf5ac7181cec34a956eee9cbf4469-350x175.svg",2572,"3XxYAgv4vXkufvP1Ae2X81Em2SQNERTY","https://cdn.sanity.io/images/oq9f4n1v/production/5eda77d22eeaf5ac7181cec34a956eee9cbf4469-350x175.svg",[558,559,560,561],"Explore limitations of traditional RCA methods (5-Whys, Fishbone)","Introduction to advanced methods: Regression and Decision Trees","Data-driven insights for complex problem-solving","Real-world case studies showcasing advanced RCA success","Session 1: Advanced RCA Overview",{"airDate":564,"previewImage":565,"sessionContentList":603,"title":608},"2026-11-12T16:00:00.000Z",{"asset":566},{"_createdAt":567,"_id":568,"_rev":514,"_type":47,"_updatedAt":515,"altText":569,"assetId":570,"description":49,"extension":518,"metadata":571,"mimeType":545,"opt":593,"originalFilename":598,"path":599,"sha1hash":570,"size":600,"title":49,"uploadId":601,"url":602},"2024-11-05T14:58:25Z","image-2119d65c2ec0d614081da369011a60c38b5d1a69-350x175-svg","Master Series Session 2 Graphic","2119d65c2ec0d614081da369011a60c38b5d1a69",{"_type":53,"blurHash":572,"dimensions":573,"hasAlpha":40,"isOpaque":40,"lqip":574,"palette":575},"M8FPvWD~5L9mxh.7Q-?8DlIB00xeNF8~?b",{"_type":56,"aspectRatio":522,"height":523,"width":524},"data:image/jpeg;base64,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",{"_type":62,"darkMuted":576,"darkVibrant":578,"dominant":580,"lightMuted":581,"lightVibrant":584,"muted":587,"vibrant":590},{"_type":64,"background":528,"foreground":66,"population":577,"title":66},30.02,{"_type":64,"background":579,"foreground":66,"population":264,"title":66},"#245465",{"_type":64,"background":528,"foreground":66,"population":577,"title":66},{"_type":64,"background":582,"foreground":76,"population":583,"title":66},"#adbdd2",4.77,{"_type":64,"background":585,"foreground":76,"population":586,"title":76},"#e6e246",16.52,{"_type":64,"background":588,"foreground":66,"population":589,"title":66},"#54879f",1.92,{"_type":64,"background":591,"foreground":76,"population":592,"title":76},"#e5e21c",0.02,{"media":594},{"tags":595},[596],{"_key":597,"_ref":551,"_type":27,"_weak":40},"BDhClpGIDnbq05UcD2RNS","2025-MasterSeries_Session-2.svg","images/oq9f4n1v/production/2119d65c2ec0d614081da369011a60c38b5d1a69-350x175.svg",2698,"KCkb7inxMUMcpv4oJpUt2Nh6M9zVN3Gp","https://cdn.sanity.io/images/oq9f4n1v/production/2119d65c2ec0d614081da369011a60c38b5d1a69-350x175.svg",[604,605,606,607],"Foundations of simple and multiple regression in RCA","Uncovering relationships in data for root cause analysis","Hands-on software demonstration in EngineRoom","Interactive regression analysis challenge using real data sets","Session 2: Hands-on Regression Analysis",{"airDate":610,"previewImage":611,"sessionContentList":648,"title":653},"2026-11-19T16:00:00.000Z",{"asset":612},{"_createdAt":613,"_id":614,"_rev":514,"_type":47,"_updatedAt":515,"altText":615,"assetId":616,"description":49,"extension":518,"metadata":617,"mimeType":545,"opt":638,"originalFilename":643,"path":644,"sha1hash":616,"size":645,"title":49,"uploadId":646,"url":647},"2024-11-05T14:58:36Z","image-c4bfc67b7dc190b8f175530312b07db5ee000d33-350x175-svg","Master Series Session 3 Graphic","c4bfc67b7dc190b8f175530312b07db5ee000d33",{"_type":53,"blurHash":618,"dimensions":619,"hasAlpha":40,"isOpaque":40,"lqip":620,"palette":621},"MBDTY4.F0B97Ma^$.0.4xrM{x%~nWAIo?u",{"_type":56,"aspectRatio":522,"height":523,"width":524},"data:image/jpeg;base64,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",{"_type":62,"darkMuted":622,"darkVibrant":624,"dominant":626,"lightMuted":627,"lightVibrant":630,"muted":633,"vibrant":636},{"_type":64,"background":528,"foreground":66,"population":623,"title":66},53.88,{"_type":64,"background":625,"foreground":66,"population":77,"title":66},"#235260",{"_type":64,"background":528,"foreground":66,"population":623,"title":66},{"_type":64,"background":628,"foreground":76,"population":629,"title":66},"#b0bed4",2.44,{"_type":64,"background":631,"foreground":76,"population":632,"title":76},"#e6e247",10.57,{"_type":64,"background":634,"foreground":66,"population":635,"title":66},"#538b9d",1.38,{"_type":64,"background":637,"foreground":76,"population":592,"title":66},"#dade24",{"media":639},{"tags":640},[641],{"_key":642,"_ref":551,"_type":27,"_weak":40},"gYzE-lPGja7gJeFUcxdd8","2025-MasterSeries_Session-3.svg","images/oq9f4n1v/production/c4bfc67b7dc190b8f175530312b07db5ee000d33-350x175.svg",1948,"MichL19kVmxVe0lMbP47vzeUvXm3fVWz","https://cdn.sanity.io/images/oq9f4n1v/production/c4bfc67b7dc190b8f175530312b07db5ee000d33-350x175.svg",[649,650,651,652],"Introduction to Decision Trees: Classification and Regression Trees (C/RT)","Practical application for investigating process failures","Case study analysis with a step-by-step demonstration","Hands-on exercise: Build and interpret Decision Trees for RCA scenarios","Session 3: Classification and Regression Trees",{"kickoff":655,"wave":656},"2026-11-05","Master Series RCA Nov 2026",{"_type":658,"description":659,"internalRoute":660,"primaryHeading":662,"searchIndices":663,"seo":667,"title":716},"page","This three-part master series will explore advanced root cause analysis methods for complex process problems where traditional tools may not be enough. We will examine how techniques like regression analysis and decision trees can help teams analyze data, identify hidden patterns, and better understand interdependent causes. Participants will use real-world examples and hands-on exercises in EngineRoom® to move beyond reactive problem solving and build confidence using data-driven RCA methods to prevent recurring issues.",{"_type":230,"current":661},"master-series/root-cause-analysis","Advanced Root Cause Analysis ",[664],{"_key":665,"_ref":666,"_type":27},"244f65de55e7","5169f84b-11b1-4c37-ab97-97f0d1d38a3b",{"_type":668,"metaDescription":669,"metaImage":670,"robotsShouldFollow":40,"robotsShouldIndex":40,"type":715},"seo","Advanced Root Cause Analysis Training: Learn regression, decision trees, and data-driven techniques to tackle complex issues and enhance process quality.",{"_type":42,"asset":671},{"_createdAt":672,"_id":673,"_rev":674,"_type":47,"_updatedAt":675,"altText":49,"assetId":676,"description":677,"extension":240,"metadata":678,"mimeType":265,"opt":699,"originalFilename":710,"path":711,"sha1hash":676,"size":712,"title":677,"uploadId":713,"url":714},"2023-02-15T23:48:03Z","image-05cd520bce984793fa318ccf3293cf92da81105e-1200x600-jpg","1qpyHfEBM7XXdCA1cJ6AP6","2025-01-21T17:28:53Z","05cd520bce984793fa318ccf3293cf92da81105e","null",{"_type":53,"blurHash":679,"dimensions":680,"hasAlpha":59,"isOpaque":40,"lqip":682,"palette":683},"M1BW_Buz0C}@0D0r0F7..a}t03Cf_IPJrL",{"_type":56,"aspectRatio":522,"height":315,"width":681},1200,"data:image/jpeg;base64,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",{"_type":62,"darkMuted":684,"darkVibrant":686,"dominant":688,"lightMuted":689,"lightVibrant":691,"muted":693,"vibrant":696},{"_type":64,"background":478,"foreground":66,"population":685,"title":66},49.37,{"_type":64,"background":687,"foreground":66,"population":592,"title":66},"#1c4872",{"_type":64,"background":478,"foreground":66,"population":685,"title":66},{"_type":64,"background":690,"foreground":76,"population":80,"title":66},"#bcc48f",{"_type":64,"background":692,"foreground":76,"population":486,"title":76},"#cce454",{"_type":64,"background":694,"foreground":66,"population":695,"title":66},"#586699",0.25,{"_type":64,"background":697,"foreground":76,"population":698,"title":66},"#ee8424",1.66,{"media":700},{"tags":701},[702,705,707],{"_key":703,"_ref":704,"_type":27,"_weak":40},"xxgiiZ5gIMogh-x8lE3mR","1qpyHfEBM7XXdCA1c0Hvzq",{"_key":706,"_ref":501,"_type":27,"_weak":40},"GuFDTRndeG-9nF2OHNjfK",{"_key":708,"_ref":709,"_type":27,"_weak":40},"8EJ20v5cyxEm7AOBza7H4","nJuznou76jLovZ8FxEzaH0","rca_meta.jpg","images/oq9f4n1v/production/05cd520bce984793fa318ccf3293cf92da81105e-1200x600.jpg",88097,"6bnTxcSitF7Xqn54oKwp4lhHsnjkAu3f","https://cdn.sanity.io/images/oq9f4n1v/production/05cd520bce984793fa318ccf3293cf92da81105e-1200x600.jpg","website","Advanced Root Cause Analysis for Quality and Process Experts",{"asset":718},{"_createdAt":672,"_id":673,"_rev":674,"_type":47,"_updatedAt":675,"altText":49,"assetId":676,"description":677,"extension":240,"metadata":719,"mimeType":265,"opt":729,"originalFilename":710,"path":711,"sha1hash":676,"size":712,"title":677,"uploadId":713,"url":714},{"_type":53,"blurHash":679,"dimensions":720,"hasAlpha":59,"isOpaque":40,"lqip":682,"palette":721},{"_type":56,"aspectRatio":522,"height":315,"width":681},{"_type":62,"darkMuted":722,"darkVibrant":723,"dominant":724,"lightMuted":725,"lightVibrant":726,"muted":727,"vibrant":728},{"_type":64,"background":478,"foreground":66,"population":685,"title":66},{"_type":64,"background":687,"foreground":66,"population":592,"title":66},{"_type":64,"background":478,"foreground":66,"population":685,"title":66},{"_type":64,"background":690,"foreground":76,"population":80,"title":66},{"_type":64,"background":692,"foreground":76,"population":486,"title":76},{"_type":64,"background":694,"foreground":66,"population":695,"title":66},{"_type":64,"background":697,"foreground":76,"population":698,"title":66},{"media":730},{"tags":731},[732,733,734],{"_key":703,"_ref":704,"_type":27,"_weak":40},{"_key":706,"_ref":501,"_type":27,"_weak":40},{"_key":708,"_ref":709,"_type":27,"_weak":40},300,"Advanced Root Cause Analysis","November 5th, 12th, 19th • 11am ET | 3 Week Virtual Master Class | $300",[739,740,741,742],"Three interactive, hour-long sessions led by Peg Pennington, guiding you through advanced RCA techniques.","60-day full access to EngineRoom software, enabling hands-on practice with statistical tools such as Regression and Decision Trees.","Skills to identify limitations of basic RCA methods, apply advanced analysis techniques, and interpret complex data patterns using multiple Regression and Decision Trees.","Downloadable certificate of completion to showcase your expertise.",1788293807171]