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Elevating Beta Testing By Integrating AI with Jacob Christensen

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Contenido proporcionado por Centercode. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Centercode o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

In this insightful episode of Launch With Confidence, we sit down with Jacob Faarkrog Christensen, the Customer Validation Lead at Bang & Olufsen, to explore the evolving role of AI in beta testing and product development. Jacob shares his journey of implementing AI models into their beta programs, which has significantly improved how they collect and analyze feedback. He delves into the challenges of balancing automation with the need for human interaction, ensuring that testers feel engaged and valued throughout the process. Whether you're interested in the technical aspects of AI or the strategic decisions behind product testing, this episode offers a comprehensive look at how Bang & Olufsen is staying ahead in the competitive high-end audio market.

▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ (00:00) - Intro (01:13) - Jacob covers his role at Bang & Olufsen, providing an overview of their beta testing program (02:22) - How beta testing influences product launches and shapes customer-focused development (05:29) - Including existing customers versus new potential customers in beta tests (11:08) - AI's impact on removing friction in the beta process, including log analysis and bug tracking (14:28) - How AI enhances the accuracy of feedback by correcting errors and standardizing reports (20:18) - Jacob discusses how AI assists in managing large-scale beta tests with hundreds of participants (30:10) - Balancing AI and human interaction to maintain engagement and ensure meaningful tester experiences (40:01) - The future of AI in beta testing, including automated insights and dependency analysis for bug fixes (42:43) - Rapid-fire questions

  continue reading

27 episodios

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Manage episode 437216737 series 3518055
Contenido proporcionado por Centercode. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Centercode o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

In this insightful episode of Launch With Confidence, we sit down with Jacob Faarkrog Christensen, the Customer Validation Lead at Bang & Olufsen, to explore the evolving role of AI in beta testing and product development. Jacob shares his journey of implementing AI models into their beta programs, which has significantly improved how they collect and analyze feedback. He delves into the challenges of balancing automation with the need for human interaction, ensuring that testers feel engaged and valued throughout the process. Whether you're interested in the technical aspects of AI or the strategic decisions behind product testing, this episode offers a comprehensive look at how Bang & Olufsen is staying ahead in the competitive high-end audio market.

▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ (00:00) - Intro (01:13) - Jacob covers his role at Bang & Olufsen, providing an overview of their beta testing program (02:22) - How beta testing influences product launches and shapes customer-focused development (05:29) - Including existing customers versus new potential customers in beta tests (11:08) - AI's impact on removing friction in the beta process, including log analysis and bug tracking (14:28) - How AI enhances the accuracy of feedback by correcting errors and standardizing reports (20:18) - Jacob discusses how AI assists in managing large-scale beta tests with hundreds of participants (30:10) - Balancing AI and human interaction to maintain engagement and ensure meaningful tester experiences (40:01) - The future of AI in beta testing, including automated insights and dependency analysis for bug fixes (42:43) - Rapid-fire questions

  continue reading

27 episodios

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