Idea Testing

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¿Cómo saber si una idea vale la pena seguir? Las empresas necesitan formas probadas y verdaderas para descubrir la próxima gran idea que interrumpirá su industria. Hemos creado esta plantilla Idea Testing que incluye herramientas como: Smokescreen Wizard of Oz, prueba multivariante, implementación por fases, estudios longitudinales y muchos más que se pueden descargar y personalizar para diferentes escenarios de negocio. Revisemos cómo funcionan estas herramientas y cómo cada una puede proporcionar un marco para la generación de ideas y la prueba de nuevas ideas.

Questions and answers

How can the tools in the Idea Testing template, such as the Smokescreen Wizard of Oz, multivariate test, phased rollout, and longitudinal studies, assist companies in discovering and testing potentially disruptive ideas?

The tools in the Idea Testing template can assist companies in various ways. The Smokescreen Wizard of Oz allows companies to create a facade of a product or service to gauge customer interest before actual development. Multivariate tests enable companies to test different variables in a controlled setting to determine which combination performs the best. Phased rollouts allow companies to introduce a new product or service in stages to assess its performance and make necessary adjustments. Longitudinal studies provide companies with data over a long period, allowing them to observe trends and make informed decisions.

What are the main components of the Idea Testing framework for brainstorming and testing new ideas?

The main components of the Idea Testing framework for brainstorming and testing new ideas include tools such as the Smokescreen Wizard of Oz, multivariate test, phased rollout, and longitudinal studies. These tools provide a structured approach to evaluate the potential of new ideas and can be customized to different business scenarios.

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Dogfooding

Antes de que el diseño del teclado del iPhone se convirtiera en algo que miles de millones de personas usan todos los días, los empleados de Apple primero probaron las aguas. Lo usaron en su vida diaria como si fueran usuarios reales.

Dogfooding es una forma de probar ideas con los miembros del equipo interno. Obtenga comentarios honestos rápidamente de sus propios empleados primero, para que sepa si está en el camino correcto. Esta nube de palabras representa las respuestas de los empleados a una idea o prototipo. Compile estos adjetivos para ver lo que la gente está diciendo de un vistazo. Cuanto más grande sea la palabra, más común será el sentimiento. (Diapositiva 18)

Questions and answers

Can you provide a real-world example of a company successfully using Dogfooding for idea testing?

Microsoft is a notable example of a company that uses dogfooding. They often use their own software products internally for testing before releasing them to the public. This allows them to identify and fix any issues or bugs, ensuring the product is as reliable and efficient as possible when it reaches the market.

What are some alternative methods to 'Dogfooding' for idea testing in business scenarios?

Some alternative methods to 'Dogfooding' for idea testing in business scenarios include customer interviews, surveys, focus groups, A/B testing, and using a minimum viable product (MVP). These methods can provide valuable insights into customer needs and preferences, and can help businesses refine their ideas and products before launching them on a larger scale.

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Mago de Oz

¿Cómo puede medir la opinión del usuario sobre un nuevo producto, sin gastar recursos para construir todo el asunto? Con la herramienta Mago de Oz, cree un prototipo de cómo funcionaría un producto o característica, PERO sin ninguna entrada técnica real. Piense en ello como una fachada.

A la izquierda aquí está el mock-up; a la derecha están los hallazgos. Por ejemplo, vea lo que los clientes potenciales piensan de las respuestas del chatbot, sin programar realmente el bot. En este caso, un miembro del equipo respondería manualmente a las consultas de los clientes, fingiendo ser el bot. (Diapositiva 11)

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Prueba multivariante

A veces vale la pena probar varias soluciones a la vez. Utilice la herramienta de Prueba Multivariante para estructurar de manera ordenada el rendimiento de diferentes iteraciones del producto. Antes de comenzar el experimento, asegúrese de identificar qué métricas desea medir. Estos son los números que determinarán qué idea es la ganadora. (Diapositiva 7)

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Primero, liste el control del experimento. Esta es la versión actual que los clientes han estado viendo. Luego, liste las variaciones que está probando. En la mayoría de los casos, sería útil agregar una imagen de cómo se ve la variación. Al final del experimento, calcule si la solución realmente aumentó el rendimiento. Anote la mejora, o la falta de ella, en los cuadros de la derecha. Luego, simplemente elija un ganador para continuar.

Questions and answers

Can you provide a real-world example of a successful Phased Rollout and the key success metrics used?

A real-world example of a successful Phased Rollout is the launch of Gmail by Google. Initially, Gmail was released to a limited number of users in 2004. Google used this phase to gather feedback and make necessary improvements. The service was then gradually rolled out to more users over the next few years, before becoming available to the general public in 2007. The key success metrics used included user feedback, adoption rate, and the number of bug reports or issues.

What are some alternative strategies to a Phased Rollout when launching a new product or service?

Some alternative strategies to a Phased Rollout when launching a new product or service include a Big Bang Adoption, where the new product or service is launched to all users at once, or a Parallel Adoption, where the new product or service is launched alongside the old one, allowing users to switch between the two until they are comfortable with the new one. Another strategy is a Pilot or Trial Launch, where the new product or service is launched to a small, select group of users for feedback and testing before a full launch.

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Implementaciones por fases

Imagínese esto: está a punto de lanzar una nueva característica del producto. Le da acceso a todos los usuarios, todos a la vez. ¿Qué pasa si algo sale mal? En la mayoría de los casos, no es una cuestión de "si" sino de "cuándo". Desafortunadamente, probablemente algo saldrá mal.¿El peor de los casos? Lanzas un producto malo e inconfiable a todos tus clientes. Ellos huyen hacia tus competidores.

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What are the potential environmental impacts of relying heavily on digital product development and usability testing in companies like Apple?

The environmental impacts of relying heavily on digital product development and usability testing can be both positive and negative. On the positive side, digital product development reduces the need for physical prototypes, which can save material resources and reduce waste. Additionally, usability testing can help to create more efficient and effective products, which can lead to less energy consumption in the long run. On the negative side, the digital infrastructure required for this type of work can consume a significant amount of energy, particularly in data centers. Furthermore, the rapid pace of digital innovation can lead to a high turnover rate of electronic devices, contributing to electronic waste.

What are some alternative methods to the Usability Test tool that Tesla might use in its digital product development?

Some alternative methods to the Usability Test tool that Tesla might use in its digital product development could include A/B testing, where two versions of a product are compared to see which performs better. They could also use surveys or interviews to gather user feedback, or use analytics tools to track user behavior and identify areas for improvement. Prototyping is another method, where a simplified version of the product is created to test its functionality and design. Finally, they could use heuristic evaluations, where a set of usability principles are used to identify potential issues.

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Las empresas a menudo prueban un nuevo lanzamiento a través de un Despliegue por Fases. Solo mete la punta del pie y siente si hay errores o problemas imprevistos. Desglosa el despliegue en fases y qué porcentaje de los usuarios recibirá el nuevo lanzamiento en qué fase. Si todo va bien, entonces procede a la siguiente fase. De lo contrario, soluciona cualquier contratiempo antes de desplegar a más usuarios. En este ejemplo, el despliegue está en la fase seis, con el 50% de la base de usuarios ya recibiendo. En el botón, resalta las métricas de éxito como la tasa de adopción y las sesiones sin fallos. (Diapositiva 9)

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