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Conversational Design

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A Q&A with celebrated tech leader and design pioneer, Robb Wilson


Conversational AI Experiences Don’t Have to Suck
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11 min read
Conversational AI Experiences Don’t Have to Suck

Designing a chatbot personality? Here are some tips that might help you do it.

How to Design a Chatbot Personality
  • The author believes personality to be the number one factor for increasing user engagement. And though your chatbot may be simple and basic, the people interacting with it tend to assign it a personality.
  • Unlike websites and mobile apps, which are designed to deliver the same experience for everyone, chatbots interact with people on a one-to-one basis.
  • The author suggests the following steps for designing a chatbot personality:
    • Start with the chatbot’s role
    • Flesh out the job description
    • Select your chatbot’s gender
    • Select your chatbot’s age
    • Create a thumbnail biography
    • Give your chatbot a name
    • Visualize your chatbot
    • Bring it to life!
  • Following this same procedure for every chatbot gives you enough of a foundation to then have the chatbot “take” a personality assessment test and then it’s just a matter of applying the personality type to your chatbot through the use of dialogue and emojis.
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9 min read
How to Design a Chatbot Personality

An odyssey exploring two possible outcomes for civilization as conversational AI takes hold—one brimming with the bright possibilities of user-controlled data, the other, decidedly dystopian.

In the Garden of Hyperautomation
  • Henry Comes-Pritchett explores two possible futures of hyperautomation: a self-custodial utopia, and a data-driven dystopia.
  • Comes’-Pritchett takes readers on a journey inspired by a sneak peek at, Age of Invisible Machines, an upcoming book by celebrated tech leader and design pioneer, Robb Wilson.
  • A philosophical treatise starts an odyssey that spans the breadth of possible civilizations, meeting the average people that inhabit them and observing their trials and tribulations.
  • The reader is ultimately left to decide what state of affairs they would prefer, with a call to action inviting those willing to change the world to start doing the work now.
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25 min read
AI Tale of Two Topias

And, Is OneReach Under The Radar By Design?

Is OneReach AI The Tesla Of Conversational AI?
  • The author gives his perspective on OneReach.ai as the top scorer in the Gartner 2022 report.
  • The author believes OneReach.ai to be one of the most granular no-code environments that support an exceptional degree of fine tuning.
  • The author refers to the platform as an orchestration canvas, where multiple processes can be orchestrated for multi-dimensional customer service, and gives some details on how the platform works as a single front-door for customers.
  • Cobus Greyling explores two cautions from Gartner about the OneReach.ai platform.
  • He concludes that voice is a strength of OneReach.ai and the company has extreme focus on customer experience, and orchestrating experiences
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4 min read
Is OneReach AI The Tesla Of Conversational AI?

Typing search queries is gradually becoming an outdated artifact of the past and voice tech is becoming more useful and promising by the day. So what other prospects await for voice tech and why is it so special? We’re about to find out!

Voice Search and Voice Interfaces 101
  • This article covers some essential voice search statistics, how people interact with voice interfaces, what can users do with voice and why startups should care about all of this.
  • Typing search queries is gradually becoming an outdated artifact of the past.
  • The author believes that the overwhelming consumer shift towards voice interfaces will inevitably lead to the mass adoption of this technology among startups.
  • How to Design a Voice Interface?
    • Pre-design Stage
    • The Main Design (user research, customer journey mapping, VUI competitor analysis, gathering requirements, prototyping, usability testing)
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8 min read
Voice-Search-and-Voice-Interfaces-101-

Take a deep dive into Gartner’s evaluation of the most important attributes of enterprise conversational AI platforms for customer service from their new Critical Capabilities report. We’ve also got learnings from the top ranked platform’s real-world orchestration of conversational AI, which allowed one national retailer to prop up a new call center and cut their inbound traffic by 50% in just ten weeks. 

Rewriting Customer Service with Conversational AI
  • Conversational AI is an inevitable market state and enterprises are in hot pursuit of platforms that will enable them to successfully orchestrate the associated technologies—like NLU/NLP, code-free design, RPA, and machine learning. Gartner’s 2022 Critical Capabilities for Enterprise Conversational AI Platforms report is the first of its kind, providing a comprehensive breakdown of the technical requirements for entering this new paradigm for productivity.
  • The best way to succeed in customer service applications of conversational AI is by incorporating a broad range of channels (touching on every possible way a customer might try to engage with a business) as part of an open system that allows for integration with tools and solutions from other vendors and involves human agents in its operation and evolution.
  • Flexible open platforms allow businesses to rapidly identify and capitalize on the massive opportunities conversational AI brings while adapting their own operations around the fluctuating nature of the associated technologies. In essence, future-proofing their operations.
  • The highest-ranking company in the Customer Service Use case was OneReach.ai. Using their platform for conversational AI, a large national retailer was able to create a new call center and cut their inbound traffic by half in just 10 weeks.
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7 min read
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