Si tienes un martillo, cada problema parece un clavo.

Este es Mjolnir, el martillo de Thor.

Con Botium, actualmente estamos definiendo el estándar de la industria para probar chatbots. En nuestros canales de soporte y desarrollo, recibimos regularmente preguntas como:

  • Tengo que probar un chatbot Whatsapp, ¿pueden ayudarme a configurar

La conclusión que se puede extraer de estas preguntas es: los test engineers o ingenieros de pruebas aprendieron cómo probar sitios web…

Botium ofrece pruebas automatizadas end-to-end de chatbots de WhatsApp en dispositivos reales o virtuales. Por primera vez, es posible tener una estrategia de prueba completa a nivel empresarial para los chatbots de WhatsApp.

If you have a hammer, every problem looks like a nail.

This is Mjolnir, Thor’s hammer

With Botium, we are currently defining the industry standard for testing chatbots. In our support and developer channels we are regularily receiving questions like:

  • I have to test a Whatsapp chatbot, can you help me to set up Appium for it ?

The conclusion to draw…

Un resumen rápido de siete puntos importantes a la hora de probar el entrenamiento de tu chatbot. Constantemente vemos equipos que ignoran estas reglas realmente bastante simples.

Esta guía sugiere las mejores prácticas, la infraestructura y las herramientas para garantizar que tu aplicación de voz continúe brindando una experiencia de usuario excepcional.

A quick summary of 7 important DO’s and DON’Ts when training an NLP model for a chatbot. They are best applied before starting a project, but can also help to build a mindset for quality training data in all chatbot project phases.

DO’s and DON’Ts

✅DO: think in problem space, not in solution space

Users typically think in problem space, not in solution space, and so should you. As a quick example, consider the case of a user who ordered a shirt in an online shop and wants to know when it is expected to arrive. Consider this question:

  • when will my shirt arrive

This is a question from problem space, describing…

Voice platforms like Alexa and Google Assistant make it easy to provide a custom voice experience to your clients, even without going deeper in audio processing — everything is part of the platform. But what if you already invested quite some effort into building a chatbot on SAP Conversational AI ? You certainly don’t want to switch to a totally new platform now.

Voice Testing with Botium and SAP Conversational AI

Head on to my blog article in the SAP Community!

A quick summary of 7 important DO’s and DON’Ts when designing a chatbot testing strategy. We are continuously seeing teams ignoring those actually rather simple rules.

DO’s and DON’Ts

DO plan for iterations

In german we say rome was not built in a day — same applies for your chatbot training data. A robust chatbot is built by multiple iterations, training and testing cycles and by ongoing monitoring and performance tuning: CODE, TEST, DEPLOY, REPEAT

DON’T underestimate the need for constant performance measurement

Without measuring performance with real user conversations, you will never know if your chatbot is really working for your users.

This guide suggests best practices, infrastructure and tools to ensure your voice app continues to deliver outstanding user experience.

Questions When Testing Voice Apps

Application of the suggested practices helps answering the questions:

  • Is my voice app following the designed conversation flow ? Is the conversation flow working as expected ?

The Art of Challenging Chatbots

The challenges when testing chatbots, escpecially voice-enabled ones, are different ones than when testing apps with…

Florian Treml

Co-Founder and CTO Botium🤓 — Guitarist 🎸 — 3xFather 🐣

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