AI para el Servicio al Cliente
Servicio al Cliente con IA Generativa
Tendencias actuales en AI Generativa para el Servicio al Cliente
Beneficios y desaf铆os de la AI Generativa
Quiz: AI para el Servicio al Cliente
Fundamentos de la Inteligencia Artificial
Conceptos clave: AI Generativa y Machine Learning
Aplicaciones de la AI Generativa en Servicio al Cliente
Quiz: Fundamentos de la Inteligencia Artificial
An谩lisis y gesti贸n de datos con AI
An谩lisis de datos con Gen AI
AI para el an谩lisis de datos en Servicio al Cliente
Quiz: An谩lisis y gesti贸n de datos con AI
Procesamiento de Lenguaje Natural (NLP)
AI para el an谩lisis de sentimientos y comentarios de los clientes
Potencia la Experiencia del Cliente con AI
Quiz: Procesamiento de Lenguaje Natural (NLP)
Contruye un asistente con AI para el servicio al cliente
Prompts para simular autonom铆a en asistentes con AI
Personaliza la interacci贸n al cliente
Integra expertos virtuales a tu GPT
Enriquece tu MVP para mejorar la experienca del cliente
Optimiza tu asistente MVP
Uso Responsable de AI
驴C贸mo hacer m谩s seguros tus GPTs?
Crea tu propio asistente adapatado a tus necesidades
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The third day of the experience focuses on giving Betty, our advanced virtual assistant, new capabilities to validate, adjust and optimize the minimum viable product (MVP). This day, crucial in the validation of proposals, aims to ensure the effectiveness of the MVP and its positive impact on the organization.
To carry out this validation, Betty is given three crucial skills:
Customer Profile Simulation: Betty can now create simulated customer profiles based on the segmentation data initially provided by the customer. This allows her to validate the MVP in different user contexts.
AB Testing: With this capability, Betty is able to run AB tests to evaluate variants of the MVP, allowing her to identify the best way to implement it and thus maximize its impact.
Creation of indicators and KPIs: Betty establishes key performance indicators to measure the impact of the MVP on the organization, facilitating the evaluation of its success.
In the ninth step, Betty simulates customer profiles using pre-existing segmentation data or by generating synthetic data, if necessary. This approach allows Betty to evaluate how different market segments might receive and react to the MVP.
In the tenth step, Betty runs AB tests. This capability allows her to evaluate different variants of the MVP, determining which will have the greatest impact. Betty runs specific tests for crucial elements such as the chatbot interface and the artificial intelligence system, ensuring that every aspect of the MVP is optimal.
Finally, step eleven consists of creating KPIs that allow you to measure:
These indicators are fundamental to quantify the success of the MVP and its effectiveness in improving the customer experience.
Once the validation phase is completed, Betty generates a detailed MVP document. This is created in steps twelve and thirteen, which are part of the final documentation delivery:
Generation of the complete document: Betty provides a comprehensive document with the MVP proposal, resulting from the three days of innovation.
Validation of user readiness: Betty verifies the user's readiness to implement the MVP and includes a list of detailed steps to facilitate its implementation.
Betty completes the ideation process by ensuring that the user understands and is prepared for the next steps, providing empathetic closure. This final touch strengthens her role as a clear and recursive advanced assistant.
Additional instructions are added that allow Betty to present a summary of her role and ask key questions to facilitate interaction with the user. These small details enrich the user experience.
In summary, throughout these three days, Betty has demonstrated her ability to act as a powerful virtual assistant, validating challenges, analyzing data and optimizing strategies with an innovative approach. Keep exploring new ways to empower your virtual assistants and share your results!
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