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Im Gespräch wurde deutlich: Es gab vier völlig unterschiedliche Produktvisionen.",[463],{"type":320,"attrs":464},{"color":322},{"type":20,"attrs":466,"content":467},{"textAlign":22},[468],{"text":469,"type":26,"marks":470},"Durch das Konfigurieren der Skalen entstand dann jedoch ein gemeinsames Bild. Die KI sollte kein autonomer Co-Pilot werden und auch keine emotionale Figur verkörpern. Stattdessen formte sich die Vision eines situationsbewussten Service-Guides, der:",[471],{"type":320,"attrs":472},{"color":322},{"type":474,"content":475},"bullet_list",[476,487,497,507,517],{"type":477,"content":478},"list_item",[479],{"type":20,"attrs":480,"content":481},{"textAlign":22},[482],{"text":483,"type":26,"marks":484},"nur in sicheren Kontexten proaktiv wird",[485],{"type":320,"attrs":486},{"color":322},{"type":477,"content":488},[489],{"type":20,"attrs":490,"content":491},{"textAlign":22},[492],{"text":493,"type":26,"marks":494},"alle Empfehlungen mit Quellen belegt",[495],{"type":320,"attrs":496},{"color":322},{"type":477,"content":498},[499],{"type":20,"attrs":500,"content":501},{"textAlign":22},[502],{"text":503,"type":26,"marks":504},"keine Entscheidungen trifft",[505],{"type":320,"attrs":506},{"color":322},{"type":477,"content":508},[509],{"type":20,"attrs":510,"content":511},{"textAlign":22},[512],{"text":513,"type":26,"marks":514},"sachlich kommuniziert",[515],{"type":320,"attrs":516},{"color":322},{"type":477,"content":518},[519],{"type":20,"attrs":520,"content":521},{"textAlign":22},[522],{"text":523,"type":26,"marks":524},"klar innerhalb gesetzlicher Sicherheitsgrenzen operiert",[525],{"type":320,"attrs":526},{"color":322},{"type":20,"attrs":528,"content":529},{"textAlign":22},[530],{"text":531,"type":26,"marks":532},"Diese Klarheit hätte kein Briefing-Dokument der Welt erzeugt. Sie entstand durch das gemeinsame Durchlaufen der Skalen – durch das Sprechen über Grenzen, Ambitionen, Sorgen und Erwartungen.",[533],{"type":320,"attrs":534},{"color":322},{"_uid":536,"media":537,"video":41,"headline":41,"component":359,"aspectRatio":360,"preserveAspectRatio":45},"1dede0c4-3542-4ebe-b794-e635e0829c86",{"id":538,"alt":539,"name":540,"focus":41,"title":540,"source":41,"filename":541,"copyright":542,"fieldtype":43,"meta_data":543,"is_external_url":45},133892174335128,"Five people in a brightly lit office sitting around a table with laptops, engaged in a discussion and smiling. Whiteboard in the background.","Orientierung finden mit dem KI-Kompass","https://a.storyblok.com/f/180740/5472x3648/dff6338d80/ki-kompass_workshop.jpg","Ergosign",{"alt":539,"title":540,"source":41,"copyright":542},{"_uid":545,"intro":546,"content":570,"component":409},"cb866ed3-05e8-49dd-948b-46b4c72786e0",[547],{"cta":548,"_uid":549,"text":550,"headline":554,"component":304},[],"f022aaa8-d4ff-46a0-b1ed-2a4232353be4",{"type":17,"content":551},[552],{"type":20,"attrs":553},{"textAlign":22},{"type":17,"content":555},[556],{"type":293,"attrs":557,"content":558},{"level":295,"textAlign":22},[559,564],{"text":560,"type":26,"marks":561},"Warum der ",[562],{"type":320,"attrs":563},{"color":322},{"text":565,"type":26,"marks":566},"KI-Kompass wirkt",[567,569],{"type":320,"attrs":568},{"color":322},{"type":303},[571],{"id":41,"_uid":572,"content":573,"component":408},"936bc455-4744-4b01-9172-8d177a712380",[574],{"_uid":575,"text":576,"headline":41,"component":351},"3341b5bb-2b7c-4a81-bec2-2350c594ea6f",{"type":17,"content":577},[578,586,605],{"type":20,"attrs":579,"content":580},{"textAlign":22},[581],{"text":582,"type":26,"marks":583},"Unsere Erfahrung – und auch zahlreiche Veröffentlichungen von Google, IBM, Microsoft und unabhängigen Research-Gruppen – zeigen immer wieder: KI-Projekte scheitern selten an der Technologie. Sie scheitern an etwas viel Menschlicherem: unklaren Anforderungen, fehlender gemeinsamer Sprache und unterschiedlichen Erwartungshaltungen zwischen Business, Design, Legal und Tech. Oft beginnen Teams hochmotiviert, nur um Wochen später festzustellen, dass alle von etwas anderem sprechen.",[584],{"type":320,"attrs":585},{"color":322},{"type":20,"attrs":587,"content":588},{"textAlign":22},[589,594,600],{"text":590,"type":26,"marks":591},"Nach mehreren Iterationen und im Austausch mit Experten aus unterschiedlichen Fachbereichen wie IT Engineering, Data Science, Entwicklern und Projektmanagement sowie UX-Designern geht unser KI-Kompass genau dieses Problem an. Er übersetzt abstrakte KI-Konzepte in konkrete Entscheidungen und bringt so alle Stakeholder auf eine gemeinsame Linie. Er legt Leitplanken fest, bevor Ressourcen investiert werden, und verhindert teure Umwege oder Fehlentwicklungen. Noch bevor der erste Workshop beginnt, entsteht ein gemeinsames KI-Profil – ein klares Bild davon, wie das System funktionieren und wirken soll und welche Richtung es bewusst ",[592],{"type":320,"attrs":593},{"color":322},{"text":595,"type":26,"marks":596},"nicht",[597,599],{"type":320,"attrs":598},{"color":322},{"type":345},{"text":601,"type":26,"marks":602}," einschlagen darf.",[603],{"type":320,"attrs":604},{"color":322},{"type":20,"attrs":606,"content":607},{"textAlign":22},[608],{"text":609,"type":26,"marks":610},"Was bleibt, ist kein nebulöser Wunsch nach „irgendeinem KI-Mehrwert“, sondern strategische Orientierung: ein Projekt, das bewusst, fokussiert und mit einer geteilten Vision startet.",[611],{"type":320,"attrs":612},{"color":322},{"_uid":614,"intro":615,"content":644,"component":409},"8304c489-64a1-4f98-8c47-008eb4a2a4ca",[616],{"cta":617,"_uid":618,"text":619,"headline":623,"component":304},[],"676ae329-05ed-4c93-b0fc-e3cdf550d346",{"type":17,"content":620},[621],{"type":20,"attrs":622},{"textAlign":22},{"type":17,"content":624},[625],{"type":293,"attrs":626,"content":627},{"level":295,"textAlign":22},[628,633,639],{"text":629,"type":26,"marks":630},"Was am ",[631],{"type":320,"attrs":632},{"color":322},{"text":634,"type":26,"marks":635},"Ende",[636,638],{"type":320,"attrs":637},{"color":322},{"type":303},{"text":640,"type":26,"marks":641}," steht",[642],{"type":320,"attrs":643},{"color":322},[645],{"id":41,"_uid":646,"content":647,"component":408},"45026525-0bbd-490d-8a7d-7588b27f5ab6",[648],{"_uid":649,"text":650,"headline":41,"component":351},"e32ebfa2-6eb3-4ed4-8ff3-94691c3ebabf",{"type":17,"content":651},[652,660,668],{"type":20,"attrs":653,"content":654},{"textAlign":22},[655],{"text":656,"type":26,"marks":657},"Der KI-Kompass liefert kein fertiges Konzept. Aber er liefert etwas, das in dieser frühen Phase weit wertvoller ist: ein klar beschriebenes KI-Systemprofil. Ein gemeinsames Bild davon, welche Rolle die KI übernehmen soll, wie viel Einfluss sie auf die Nutzer hat, wie transparent sie sein muss und welche Grenzen sie nicht überschreiten darf.",[658],{"type":320,"attrs":659},{"color":322},{"type":20,"attrs":661,"content":662},{"textAlign":22},[663],{"text":664,"type":26,"marks":665},"Dieses Profil ist strategisch formuliert und für alle verständlich. Es bildet den idealen Startpunkt für jeden AI-Ideation-Workshop – und die Grundlage für ein verantwortungsvolles, nutzerzentriertes und markenkonformes KI-Produkt.",[666],{"type":320,"attrs":667},{"color":322},{"type":20,"attrs":669,"content":670},{"textAlign":22},[671],{"text":672,"type":26,"marks":673},"Der größte Fehler in KI-Projekten ist, zu früh mit der Umsetzung zu beginnen. Der zweitgrößte: ohne gemeinsame Sprache zu starten. Wenn Sie Ihr KI-Projekt nicht dem Zufall überlassen möchten und mit Orientierung statt Bauchgefühl starten wollen: Lassen Sie uns gemeinsam Ihren KI-Kompass ausrichten.",[674],{"type":320,"attrs":675},{"color":322},[677],{"_uid":678,"media":679,"headline":685,"component":694},"e62c3a6c-86b2-4538-8faf-c5de4c1f88d5",{"id":680,"alt":681,"name":41,"focus":41,"title":682,"source":41,"filename":683,"copyright":41,"fieldtype":43,"meta_data":684,"is_external_url":45},133884419971977,"A futuristic, glowing compass with a transparent dome displays a blue and pink needle, set on a dark background.","Der KI-Kompass","https://a.storyblok.com/f/180740/3840x2160/3de7b60086/ki_kompass_header.png",{"alt":681,"title":682,"source":41,"copyright":41},{"type":17,"content":686},[687],{"type":293,"attrs":688,"content":690},{"level":689,"textAlign":22},1,[691],{"text":276,"type":26,"marks":692},[693],{"type":303},"MediaHero",[696],"cfa8e739-dc5b-4239-ab1b-97232ab94ef1",[698],"6c327e6a-b387-4056-a36c-d5f33b79bed3",[700,701],"2b5052bc-db30-4ae9-87f0-ede87bb56855","c68efb2e-60c7-4bd6-a9ed-a1a52ba0a965",[703],{"id":41,"_uid":704,"form":705,"intro":706,"target":727,"contact":728,"component":729,"textFailure":730,"textSuccess":733,"titleFailure":736,"titleSuccess":739,"shouldRedirect":45,"buttonSuccessLabel":41,"googleAnalyticsEvent":41,"trackGoogleAnalytics":45},"48350e14-d162-4dc4-a863-7cebb2c5f825","30bb3154-6b97-41ea-aa21-55a700818918|||3780485|||2602_Kontaktformular_Development_DE",[707],{"cta":708,"_uid":709,"text":710,"headline":717,"component":304},[],"d7e54876-c278-40fa-9a87-70c8b676484d",{"type":17,"content":711},[712],{"type":20,"attrs":713,"content":714},{"textAlign":22},[715],{"text":716,"type":26},"Wir zeigen Ihnen, wie Sie KI-Projekte mit klarem Fahrplan und UX-Exzellenz erfolgreich umsetzen. 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",[755],{"type":320,"attrs":756},{"color":322},{"text":758,"type":26,"marks":759},"Doch eine zentrale Frage bleibt offen:",[760,762],{"type":320,"attrs":761},{"color":322},{"type":303},{"text":764,"type":26,"marks":765}," Was genau soll diese KI eigentlich tun? ",[766],{"type":320,"attrs":767},{"color":322},{"type":20,"attrs":769,"content":770},{"textAlign":22},[771],{"text":772,"type":26,"marks":773},"Sobald die ersten konkreten Gespräche stattfinden, tauchen Unsicherheiten auf, denn oft fehlt eine “gemeinsame Sprache\", um Ambitionen verständlich auszudrücken. Teams sprechen über KI, aber jeder meint etwas anderes. So entsteht in dieser frühen Phase ein diffuses Gefühl der Orientierungslosigkeit – nicht unbedingt wegen fehlenden Wissens, sondern aufgrund fehlender gemeinsamer Begriffe. ",[774],{"type":320,"attrs":775},{"color":322},{"type":20,"attrs":777,"content":778},{"textAlign":22},[779,784,793],{"text":780,"type":26,"marks":781},"Und wenn ein Projekt unter diesen Vorzeichen startet, läuft es oft in Schlangenlinien: widersprüchliche Erwartungen, zu viele Richtungswechsel, teure Iterationen und ein wachsendes Risiko, dass die Lösung am Ende weder nutzerzentriert noch markenkonform ist. Das bestätigt der Bericht des Massachusetts Institute of Technology (MIT): 95% aller KI-Projekte scheitern bei der Umsetzung und erzielen keine Erträge. 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Das Ergebnis ist eine effiziente, nutzerfreundliche Anwendung mit erweiterten Funktionen, einem modernen Design und einer zukunftssicheren technologischen Basis für kontinuierliche Weiterentwicklung.","Die Ausgangslage",{"_uid":1014,"media":1015,"video":41,"autoplay":45,"headline":41,"component":359,"showBorder":45,"aspectRatio":360,"preserveAspectRatio":45},"b5114f7e-b544-49fa-85fc-cb5f4f8f3037",{"id":1016,"alt":1017,"name":41,"focus":41,"title":1018,"source":542,"filename":1019,"copyright":542,"fieldtype":43,"meta_data":1020,"is_external_url":45},16911522,"Eine Kamera von Vision Research zur linken Seite und zur rechten Seite ein Ausschnitt aus dem UI","Vision Research Redesign","https://a.storyblok.com/f/180740/1920x1080/d145f2d4dd/cs_vision-research_slide1_v1.jpg",{"alt":1017,"size":1021,"title":1018,"source":542,"copyright":542},"1920x1080",{"_uid":1023,"intro":1024,"content":1043,"component":409},"4bf6f3ad-3fa6-486c-93fa-262e410eece3",[1025],{"cta":1026,"_uid":1027,"text":1028,"headline":1032,"component":304},[],"93254bda-dc83-4aea-b089-528cceeaf612",{"type":17,"content":1029},[1030],{"type":20,"attrs":1031},{"textAlign":22},{"type":17,"content":1033},[1034],{"type":20,"attrs":1035,"content":1036},{"textAlign":22},[1037,1039],{"text":1038,"type":26},"Von Strategie und Design bis hin zur ",{"text":1040,"type":26,"marks":1041},"maßgeschneiderten Entwicklung",[1042],{"type":303},[1044],{"id":41,"_uid":1045,"content":1046,"component":408},"8cd468db-719d-4f7b-b8f8-9c05c1f65482",[1047,1062,1070],{"_uid":1048,"text":1049,"headline":1061,"component":351},"5b22630a-237f-4a2a-bc72-23401d4f14f7",{"type":17,"content":1050},[1051,1056],{"type":20,"attrs":1052,"content":1053},{"textAlign":22},[1054],{"text":1055,"type":26},"Unser Ansatz umfasste drei zentrale Phasen. In der Strategiephase stimmten wir die Ziele von AMETEK/Vision Research mit den Anforderungen der Nutzenden sowie den technischen Anforderungen ab. Auf Basis von globalen Kontextanalysen und den so gewonnenen Insights wurden notwendige Verbesserungen und neue Funktionen identifiziert. Diese halfen uns dabei, die Nutzererfahrung zu optimieren. Zudem definierten wir die Grundlagen für Datenverbindungen und die App-Architektur, um Umsetzungsstrategien und Frontend-Technologien zu evaluieren.",{"type":20,"attrs":1057,"content":1058},{"textAlign":22},[1059],{"text":1060,"type":26},"In der anschließenden UX Design-Phase entwickelten wir aus ersten Konzepten einen High Fidelity- Prototypen, der die zuvor identifizierten Anforderungen aufgriff. Mit Hilfe des Prototyps wurden die erarbeiteten Konzepte in Usability Tests validiert und auf Basis des Feedbacks vor der finalen Entwicklung weiter verfeinert. Darüber hinaus entstand ein neues visuelles Design. Es verbindet moderne Trends mit der Corporate Identity von AMETEK/Vision Research und wird durch ein neues Icon-Set sowie eine Auswahlmöglichkeit zwischen Light und Dark Theme komplettiert.","Unser Vorgehen",{"_uid":1063,"media":1064,"video":41,"autoplay":45,"headline":41,"component":359,"showBorder":45,"aspectRatio":360,"preserveAspectRatio":45},"939d6882-8531-4563-a6f6-eb1ff311966f",{"id":1065,"alt":1066,"name":41,"focus":41,"title":1067,"source":542,"filename":1068,"copyright":542,"fieldtype":43,"meta_data":1069,"is_external_url":45},16911521,"Vision Research Design System mit Fokus auf den Icons und einem Vergleich des Light & Dark Modes","Vision Research Design System","https://a.storyblok.com/f/180740/1920x1080/af06724c68/cs_vision-research_slide2_v1.jpg",{"alt":1066,"size":1021,"title":1067,"source":542,"copyright":542},{"_uid":1071,"text":1072,"headline":41,"component":351},"3db76fc6-9d3b-4d23-b7f7-d8fa538a2d27",{"type":17,"content":1073},[1074,1079,1084],{"type":20,"attrs":1075,"content":1076},{"textAlign":22},[1077],{"text":1078,"type":26},"Zunächst fokussierten wir uns auf umfassende Software Development Kit (SDK)- und Code Reviews. Wir integrierten das bestehende SDK in eine moderne C++-Umgebung und analysierten den Technologie-Stack, um die Effizienz und Wartbarkeit zu optimieren.",{"type":20,"attrs":1080,"content":1081},{"textAlign":22},[1082],{"text":1083,"type":26},"Während der Entwicklungsphase boten wir maßgeschneiderte Lösungen für eine nahtlose Integration sowie zuverlässige Kamerasteuerung. Mithilfe eines Wrapper-basierten Ansatzes beim API-Redesign wurde ein C++-Layer für plattformübergreifende Funktionalität aufgebaut. Unser agiler Ansatz - „Release early and often“ - ermöglichte mit Hilfe einer CI/CD-Automatisierungspipeline ein nahtloses Building, Packaging und Testing. So konnte AMETEK/Vision Research jederzeit flexibel auf sich ändernde Anforderungen reagieren.",{"type":20,"attrs":1085,"content":1086},{"textAlign":22},[1087],{"text":1088,"type":26},"Mit einem starken Fokus auf kontinuierliche Verbesserung und Best Practices unterstützten wir das Projekt durch unsere architektonische Expertise. Die Zusammenarbeit ermöglichte es AMETEK/Vision Research, bemerkenswerte Erfolge in der Qt-Entwicklung zu erzielen.",{"id":41,"_uid":1090,"size":1091,"asset":1092,"intro":1094,"video":1095,"autoplay":45,"component":1139,"showBorder":45,"coloredBackground":45},"4af73c3a-f772-4e93-bbfa-1a3984b94cdc","content",{"id":22,"alt":22,"name":41,"focus":22,"title":22,"source":22,"filename":41,"copyright":22,"fieldtype":43,"meta_data":1093},{},[],{"encodings":1096,"videoAsset":1134},{"av1-768":1097,"vp9-768":1102,"av1-1280":1106,"av1-1920":1110,"h264-768":1114,"vp9-1280":1118,"vp9-1920":1122,"h264-1280":1126,"h264-1920":1130},{"url":1098,"size":1099,"status":1100,"lastModified":1101},"https://cdn.es-video-encoding.aws.ergosign-projects.com/vision_research_produktvideo/768-av1.webm",3041477,"encoded","2026-05-06T09:02:06.000Z",{"url":1103,"size":1104,"status":1100,"lastModified":1105},"https://cdn.es-video-encoding.aws.ergosign-projects.com/vision_research_produktvideo/768-vp9.webm",4348523,"2026-05-06T08:57:36.000Z",{"url":1107,"size":1108,"status":1100,"lastModified":1109},"https://cdn.es-video-encoding.aws.ergosign-projects.com/vision_research_produktvideo/1280-av1.webm",4240485,"2026-05-06T09:29:20.000Z",{"url":1111,"size":1112,"status":1113,"lastModified":41},"https://cdn.es-video-encoding.aws.ergosign-projects.com/vision_research_produktvideo/1920-av1.webm",0,"encoding",{"url":1115,"size":1116,"status":1100,"lastModified":1117},"https://cdn.es-video-encoding.aws.ergosign-projects.com/vision_research_produktvideo/768-h264.mp4",5862126,"2026-05-06T08:53:05.000Z",{"url":1119,"size":1120,"status":1100,"lastModified":1121},"https://cdn.es-video-encoding.aws.ergosign-projects.com/vision_research_produktvideo/1280-vp9.webm",6762718,"2026-05-06T08:59:48.000Z",{"url":1123,"size":1124,"status":1100,"lastModified":1125},"https://cdn.es-video-encoding.aws.ergosign-projects.com/vision_research_produktvideo/1920-vp9.webm",10328209,"2026-05-06T09:00:19.000Z",{"url":1127,"size":1128,"status":1100,"lastModified":1129},"https://cdn.es-video-encoding.aws.ergosign-projects.com/vision_research_produktvideo/1280-h264.mp4",10233910,"2026-05-06T08:53:25.000Z",{"url":1131,"size":1132,"status":1100,"lastModified":1133},"https://cdn.es-video-encoding.aws.ergosign-projects.com/vision_research_produktvideo/1920-h264.mp4",19900574,"2026-05-06T08:53:53.000Z",{"asset":1135,"filename":1137},{"id":1136,"alt":41,"name":41,"focus":41,"title":41,"source":41,"filename":1137,"copyright":41,"fieldtype":43,"meta_data":1138,"is_private":45},173539043021110,"https://a.storyblok.com/f/180740/x/0b50f0957b/vision_research_produktvideo.mp4",{},"MediaBlockSection",{"_uid":1141,"intro":1142,"content":1161,"component":409},"d8d98c93-3d23-4bd0-aa25-78f9cc09d295",[1143],{"cta":1144,"_uid":1145,"text":1146,"headline":1150,"component":304},[],"101d2382-5957-4f55-aa71-e70f648f4152",{"type":17,"content":1147},[1148],{"type":20,"attrs":1149},{"textAlign":22},{"type":17,"content":1151},[1152],{"type":20,"attrs":1153,"content":1154},{"textAlign":22},[1155,1157],{"text":1156,"type":26},"Modernes und ",{"text":1158,"type":26,"marks":1159},"mesch-zentriertes Design",[1160],{"type":303},[1162],{"id":41,"_uid":1163,"content":1164,"component":408},"d4ffc54e-4606-4b99-901f-7bcdae8ca7d0",[1165,1175],{"_uid":1166,"text":1167,"headline":1174,"component":351},"56f1bfed-981d-48a1-bc9b-d4ea505e97a1",{"type":17,"content":1168},[1169],{"type":20,"attrs":1170,"content":1171},{"textAlign":22},[1172],{"text":1173,"type":26},"Das Projekt resultierte in einer PCC-Anwendung der nächsten Generation, die den Anforderungen von AMETEK/Vision Research vollends gerecht wurde. Durch die frühzeitige Einbindung der Nutzenden und kontinuierliche Optimierungen entstand eine effiziente Anwendung mit modernem Design und einem anpassbaren Icon-Set. Darüber hinaus bietet die Lösung eine zukunftssichere Basis für eine nahtlose Integration plattformübergreifender Funktionalitäten und eine zuverlässige Leistung.","Unsere Lösung",{"_uid":1176,"media":1177,"video":41,"autoplay":45,"headline":41,"component":359,"showBorder":45,"aspectRatio":360,"preserveAspectRatio":45},"116f1aed-b4d0-4144-b4c4-cabee677d2a2",{"id":1178,"alt":1179,"name":41,"focus":41,"title":1067,"source":542,"filename":1180,"copyright":542,"fieldtype":43,"meta_data":1181,"is_external_url":45},16911523,"Vision Research Design System mit Fokus auf den Icons","https://a.storyblok.com/f/180740/1920x1080/678dccc0b5/cs_vision-research_slide3_v1.jpg",{"alt":1179,"size":1021,"title":1067,"source":542,"copyright":542},{"_uid":1183,"intro":1184,"content":1199,"component":409},"d7178aea-5777-4d1c-b0a9-1dc94cdd2e26",[1185],{"cta":1186,"_uid":1187,"text":1188,"headline":1192,"component":304},[],"8c83926e-1a2b-40dc-97bd-d4f90587c653",{"type":17,"content":1189},[1190],{"type":20,"attrs":1191},{"textAlign":22},{"type":17,"content":1193},[1194],{"type":20,"attrs":1195,"content":1196},{"textAlign":22},[1197],{"text":1198,"type":26},"AMETEK/Vision Research",[1200],{"id":41,"_uid":1201,"content":1202,"component":408},"d9dafe96-7f6a-45cb-9bf1-b4bfc48609e7",[1203,1213],{"_uid":1204,"text":1205,"headline":1212,"component":351},"49b295e3-31d7-4dd3-8f69-0a9f1c66200a",{"type":17,"content":1206},[1207],{"type":20,"attrs":1208,"content":1209},{"textAlign":22},[1210],{"text":1211,"type":26},"Vision Research, ein Geschäftsbereich von AMETEK Inc, ist mit seinen Phantom High-Speed- Kameras ein Marktführer im Bereich der Hochgeschwindigkeitsbildgebung. Getreu dem Motto „When it’s too fast to see, and too important not to®“ bieten Phantom-Kameras die ideale Kombination aus Auflösung, Geschwindigkeit und Empfindlichkeit für Bewegungsanalyse-Anwendungen in den Bereichen Verteidigung, Wissenschaft, Industrie und Unterhaltung.","Über den Kunden",{"_uid":1214,"media":1215,"video":41,"autoplay":45,"headline":41,"component":359,"showBorder":45,"aspectRatio":360,"preserveAspectRatio":45},"f38d87bb-1c6a-40bc-acbb-1ee6595ad3c6",{"id":1216,"alt":1217,"name":41,"focus":41,"title":1067,"source":542,"filename":1218,"copyright":542,"fieldtype":43,"meta_data":1219,"is_external_url":45},16911517,"Vision Research Design System mit Ausschnitten aus den Software Controls","https://a.storyblok.com/f/180740/1920x1080/f60ad2c108/cs_vision-research_slide4_v1.jpg",{"alt":1217,"size":1021,"title":1067,"source":542,"copyright":542},{"_uid":1221,"text":1222,"author":1246,"button":1247,"component":1248,"authorInfo":1249,"authorImage":1250,"authorLocation":961},"7433ce60-36fe-450b-a3a7-cc5470f0d0cb",{"type":17,"content":1223},[1224,1235],{"type":20,"attrs":1225,"content":1226},{"textAlign":22},[1227,1229,1233],{"text":1228,"type":26},"Ergosign startete mit Workshops, in denen wir Designentscheidungen über die Benutzeroberfläche auf Grundlage von Präferenzen der einzelnen Interessengruppen trafen. Es war großartig zu sehen, wie die Ergebnisse dieser Zusammenarbeit ",{"text":1230,"type":26,"marks":1231},"in der Prototyp-Phase zum Leben erweckt ",[1232],{"type":303},{"text":1234,"type":26},"wurden.",{"type":20,"attrs":1236,"content":1237},{"textAlign":22},[1238,1240,1244],{"text":1239,"type":26},"Jetzt, wo wir uns auf die Veröffentlichung des neuen PCC vorbereiten, können wir mit Sicherheit sagen, dass Ergosign der richtige Partner für uns bei diesem Projekt war. Wir haben nicht nur eine ",{"text":1241,"type":26,"marks":1242},"moderne neue Steuerungssoftware",[1243],{"type":303},{"text":1245,"type":26},", sondern wir haben auch viel über heutige Best Practices für die Softwareentwicklung gelernt, was mit der Benutzererfahrung beginnt und endet.","Toni Lucatorto",[],"Quote","Senior Product Manager",{"id":22,"alt":22,"name":41,"focus":22,"title":22,"source":22,"filename":41,"copyright":22,"fieldtype":43,"meta_data":1251},{},[1253],{"_uid":1254,"media":1255,"headline":1261,"component":694},"6ff725f2-a558-4c57-8823-a23ac1216676",{"id":1256,"alt":1257,"name":41,"focus":41,"title":1258,"source":542,"filename":1259,"copyright":542,"fieldtype":43,"meta_data":1260,"is_external_url":45},17881159,"A man sitting at a desk with 2 screens in front of him, on which the Vision Research application can be seen. 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Gleichzeitig entstehen digitale Plattformen und Services, die nicht nur Fahrten planen und buchen, sondern Mobilität als ganzheitliches Erlebnis denken – von der ersten Routenplanung bis zur Integration unterschiedlicher Verkehrsmittel.",{"type":20,"attrs":3752,"content":3753},{"textAlign":22},[3754],{"text":3755,"type":26},"Ergosign gestaltet digitale Lösungen für Mobilitätsanbieter, Fahrzeughersteller, Betreiber von Verkehrsnetzen und Technologiepartner. Wir verbinden komplexe Daten, vielfältige Verkehrssysteme und unterschiedliche Nutzergruppen zu klaren, intuitiven Anwendungen. 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Um die Reise der Kund:innen bis zur Kaufentscheidung zu verstehen, galt es, entlang der Customer Journey die relevanten Kontaktpunkte in der Interaktion mit den (potenziellen) Kund:innen herauszufinden. Das Markenerlebnis sollte durch das Zusammenspiel aller Touchpoints optimal geprägt werden.",{"id":41,"_uid":4408,"size":1091,"asset":4409,"intro":4414,"video":41,"component":1139,"coloredBackground":45},"d62b81b9-5cb6-45da-80e2-f5ef10dd494e",{"id":4410,"alt":4411,"name":41,"focus":41,"title":41,"source":542,"filename":4412,"copyright":542,"fieldtype":43,"meta_data":4413,"is_external_url":45},11195615,"Ein Audi in den Bergen, daneben hält eine Hand ein Smartphone woraus die Cariad App zu sehen ist.","https://a.storyblok.com/f/180740/1920x1079/16fbd90e05/cs-cariad-frame1.jpg",{},[],{"_uid":4416,"intro":4417,"content":4435,"component":409},"4e17093a-8100-4c3d-8f49-6320d8f40353",[4418],{"cta":4419,"_uid":4420,"text":4421,"headline":4424,"component":304},[],"9cb1b7c1-29b2-43cb-bc69-47b00044d6dc",{"type":17,"content":4422},[4423],{"type":20},{"type":17,"content":4425},[4426],{"type":20,"attrs":4427,"content":4428},{"textAlign":22},[4429,4431],{"text":4430,"type":26},"Von der Probefahrt bis hin zum",{"text":4432,"type":26,"marks":4433}," fertigen Konzept",[4434],{"type":303},[4436,4463],{"id":41,"_uid":4437,"content":4438,"component":408},"30addcd5-0f5c-46d9-8388-a0291933dca6",[4439],{"_uid":4440,"text":4441,"headline":1061,"component":351},"f26284f6-adc7-4f1b-a72a-c1ecdb972740",{"type":17,"content":4442},[4443,4448,4453,4458],{"type":20,"attrs":4444,"content":4445},{"textAlign":22},[4446],{"text":4447,"type":26},"Passt ein Elektroauto zu mir? 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In Usability Tests mit 16 Proband:innen wurde schließlich der in ProtoPie erstellte Prototyp getestet. Danach passten wir einige Screens aufgrund des Feedbacks und der Ergebnisse des Usability Testings an.",{"id":41,"_uid":4464,"size":1091,"asset":4465,"intro":4470,"video":41,"component":1139,"coloredBackground":45},"f50c4b39-86cd-47e9-b1a5-dab2300bbebd",{"id":4466,"alt":4467,"name":41,"focus":41,"title":41,"source":542,"filename":4468,"copyright":542,"fieldtype":43,"meta_data":4469,"is_external_url":45},11195614,"Mockups von 4 Smartphone nebeneinander mit der Cariad App","https://a.storyblok.com/f/180740/1920x1080/3436901d30/cs-cariad-frame2.jpg",{},[],{"_uid":4472,"intro":4473,"content":4490,"component":409},"98ac4033-0820-4d23-9fe1-d860f900a251",[4474],{"cta":4475,"_uid":4476,"text":4477,"headline":4480,"component":304},[],"0188ed67-1e0d-4d05-989b-933f779fc286",{"type":17,"content":4478},[4479],{"type":20},{"type":17,"content":4481},[4482],{"type":20,"attrs":4483,"content":4484},{"textAlign":22},[4485,4486],{"text":426,"type":26},{"text":4487,"type":26,"marks":4488},"persönlicher, intelligenter Assistent",[4489],{"type":303},[4491,4514],{"id":41,"_uid":4492,"content":4493,"component":408},"bc583661-4ccb-4eb6-9f9a-0ca278da334d",[4494],{"_uid":4495,"text":4496,"headline":4513,"component":351},"d21310ee-e435-49f4-9598-e39cafc4c50a",{"type":17,"content":4497},[4498,4503,4508],{"type":20,"attrs":4499,"content":4500},{"textAlign":22},[4501],{"text":4502,"type":26},"Wir entwickelten ein App-Konzept, welches die (potenziellen) Nutzer:innen in allen Phasen begleitet, unterstützt und informiert - und das proaktiv, noch bevor sie fragen. Nach einem kurzen Onboarding erhalten die Nutzer:innen durch den persönlichen Assistenten alle relevanten Informationen, passend zu der Phase, in der sie sich gerade befinden. Zusätzlich kennt der persönliche Assistent alle Antworten auf spezifische Fragen und schickt Mitteilungen genau dann, wenn sie gebraucht werden. Ein gutes Beispiel dafür ist die Ladehilfe, sobald die Fahrerin oder der Fahrer an einem Ladestopp angekommen ist.",{"type":20,"attrs":4504,"content":4505},{"textAlign":22},[4506],{"text":4507,"type":26},"Um die (potenziellen) Nutzer:innen stets zu unterstützen, hat der persönliche Assistent außerdem personalisierte Themen im Fokus, denn nichts ist schlimmer, als die Nutzer:innen mit für sie uninteressanten Themen zu langweilen.",{"type":20,"attrs":4509,"content":4510},{"textAlign":22},[4511],{"text":4512,"type":26},"Zusätzlich wertet der Assistent Fahrdaten aus und gibt den Nutzer:innen nützliche Tipps an die Hand. 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