January 2023 Summaries

Voiceflow's AI Assist is a powerful tool that helps developers accelerate their conversation design workflow by generating response variations, utterances, entities, and synonyms, as well as handling unexpected customer interactions. It can save time creating diverse content for assistants and fill the production data gap by generating more data to create functional prototypes. The feature, which is still experimental and should not be used in production use cases due to its tendency to generate false information, can be toggled on and off in Project Settings. Voiceflow's team has already started experimenting with this feature and invites users to try it out and share their feedback.

The conversation design team at a company recognizes that users often misunderstand the language used in chatbots, leading to frustration and distrust. To address this issue, they invite the support team to share their top linguistic gripes and create a forum for knowledge transfer. This collaboration allows them to identify common jargon and intents that cause confusion, review representative transcripts and customer calls, and create an initial audit based on extended customer journeys. By doing so, they can create a more user-friendly chatbot experience. The team also recognizes the value of support interactions as a portal into unfiltered user feedback, which can be used to inform bot design decisions. To leverage this feedback, the conversation designers work closely with the support team to identify targeted challenges and address them together. This collaboration enables them to re-envision how the company communicates and make it friendlier to interact with, ultimately improving the overall user experience.

A well-planned approach to sharing project assets with various stakeholders can help prevent bad practices such as overwhelming non-technical players, sharing irrelevant information, and leaving assistants to imagination. To achieve this, one should consider the following: who they are sharing their prototype with, what assets will be shared, and the current status of the prototype. Understanding the timeline of a project, including design review phases, can also help determine the most relevant information to share with each group. Presenting to different stakeholders requires tailoring the focus to their specific needs, such as product teams focusing on flow journeys, conversation designers focusing on logic, technical and developer partners focusing on logic, and researchers focusing on prototype quality. By considering these factors, developers can ensure a smooth and effective collaboration process.