VUI Design

1) The document discusses designing voice applications and testing them using the Wizard of Oz technique. It covers intents, sample dialogs, prototyping dialogue flows, and running WOZ tests to iterate on the application. 2) An example is provided of designing a hotel concierge assistant named Amy, including sample conversations for checking out times and extending checkout for a fee. Groups role-played conversations and improved the dialogue flows. 3) Tips are given for WOZ testing voice applications, such as understanding user intents, constructing sample dialogs, creating a moderator script, connecting audio responses, and collecting feedback to iteratively improve the application.

This document provides guidance on designing successful chatbots and conversational AI. It discusses important considerations for understanding users, defining the problem, scoping the bot, designing conversations, and measuring success. Key points covered include establishing trust, handling unknown inputs, accessibility, and the importance of testing before going live. The overall message is that good UX design principles are needed to build bots that can engage users and successfully help them.

This presentation will show you many techniques for increasing your profits by improving the user experience of your site. The slides aren't all self-explanatory. To see a video of the talk, visit http://www.conversion-rate-experts.com/usability-testing/

Customer research has been a core part of Intuit from the earliest days of the company. In the 1980’s Intuit engineers would hang out at computer stores to find people buying Quicken software and ask if they could follow them home to watch their installation process to learn about pain points and opportunities. Kurt Walecki, Intuit VP of Design, described the importance: From the very beginning, Intuit has done user research both to understand how customers are using their current products and to identify customers’ unmet needs, allowing them to introduce new products to the market to satisfy them. Every product and team at Intuit uses customer research and interviews to design and build products and new functionality. Intuit’s use of Lean Startup includesthe mantra “fall in love with the problem, not the solution” . The goal is to understand the customer’s pain points and missed opportunities first, expand on the problem, build prototypes, continually review with the customer to test solutions, and then promote it to a product feature. This customer focus ensures the product grows with useful features and doesn’t bloat with unnecessary technology.

This document provides best practices for running effective webinars. It recommends having two people to fill roles like moderator, technical support, and chat manager. Thorough planning and testing of all technology is crucial. During the webinar, introductions and teaching participants how to use interaction tools is important. Engaging the audience with varied techniques like polls, chat, and breakout groups helps ensure participation. Honoring contributions in the chat and effectively closing out the session are also best practices.

A primer to agile development, lean methodology, and building software with or without a technical team.

A workshop that introduces the foundation of Usability Testing which includes tips for planning, recruiting, moderating, as well as collecting metrics using the success rates.

The document provides instructions for a webinar on introducing Articulate Storyline, asking participants to download certain apps before the webinar. It then outlines the learning objectives of the webinar, which are to build a basic Storyline tutorial, add interactivity features, explain timeline features, and connect Storyline to the participant's work. The document also introduces the instructors who will guide participants through Storyline demonstrations and answer questions.

Presentation and workshop of Alexandra Lung and Annamaria Boheim at PRODUCTIZED conference 1st November 2018 in Lisbon.

This document discusses the Lean UX process for building apps that users love. It emphasizes starting with user research to understand problems, rapidly prototyping solutions, and getting frequent feedback to iterate designs. The process involves creating personas, testing assumptions with users, prioritizing problems, making paper/digital prototypes, getting early feedback, and continuously improving through multiple iterations. The goal is to build something that solves the right problems in a way users enjoy.

The document discusses 7 low-cost usability testing methods that can be used at different stages of a project: 1) Hit the streets, 2) Information architecture, 3) First click, 4) Live experiments, 5) Did you get it done, 6) Microtesting content, and 7) Weekly drop-in lab test. Each method is described in terms of the time and cost required to implement it. The document advocates for incorporating usability testing into project plans from the beginning and testing with actual users rather than colleagues. It provides guidance on setting up a usability testing lab and conducting regular weekly testing sessions.

( Machine Learning & Deep Learning Specialization Training: https://goo.gl/goQxnL ) This CloudxLab Deep Learning tutorial helps you to understand Deep Learning in detail. Below are the topics covered in this tutorial: 1) What is Deep Learning 2) Deep Learning Applications 3) Artificial Neural Network 4) Deep Learning Neural Networks 5) Deep Learning Frameworks 6) AI vs Machine Learning

The document outlines a 3-day structure for a product design sprint. Day 1 focuses on understanding the problem through lightning talks, affinity mapping, and sketching ideas. Day 2 has teams decide on a solution through sketch presentations and storyboarding a prototype. Day 3 involves prototyping, user testing, and validating the proposed solutions through feedback. The sprint uses divergent and convergent thinking techniques to move from exploring the design space to agreeing on solutions to test.

This case study on focuses on the Kroger voice action. This involved speaking about design hurdles as a designer, user pain points, how to design a voice product, as well as how to approach prototyping and usability testing.

The document provides guidance for interviewing at Peepaal, including: - Technical skills and qualities they seek include strong learning ability, passion for technology, intelligence, willingness to work hard, and strong technical skills. - For interviews, expect technical and HR rounds. Dress professionally but casually, like non-denim pants and a collared shirt. - Coding questions will involve data structures, algorithms, and programming language fundamentals. Approach problems methodically and ask clarifying questions. - Be prepared to discuss experiences and past projects clearly during non-technical questions. Focus on what you learned rather than lengthy stories.

This document provides guidance on conducting user research to validate a product idea. It emphasizes that qualitative user research is important to identify user behaviors, needs, and problems in order to reduce the risk of building the wrong product. It recommends understanding the problem from the user's perspective by asking "why" multiple times, conducting ethnographic research by observing users in their environment, and performing interviews without leading questions. The document also provides tips on recruiting test subjects, testing prototypes as early as possible, and tools for remote user research.

This document provides an introduction to Lean UX methods taught by General Assembly. It discusses key Lean UX practices like defining goals and KPIs, designing to solve user problems through collaboration, testing assumptions by gathering user feedback, and iterating based on findings. The document demonstrates these practices hands-on by having attendees split into teams to create user personas and use cases, prototype a wireframe, and conduct user testing and evaluation on their designs. Metrics like acquisitions, activation, retention, referral, and revenue are presented as important to measure based on actual user data rather than assumptions.

How can you make your software teams better? What are the values and processes that you wish to embrace? In these slides, we will share some stories from leading companies (e.g., Google, Meta, and Netflix), and we will see what is working for them.

What is a blockchain? Why is cryptocurrency the future? It's a deck I was preparing for a lighting talk at ESGgo. Since I got some excellent feedback on it - I decided to open-source it :) Hopefully, you will find it valuable.

DevOps and “Liquid Software” release practices are rapidly becoming the standard. But, as software shapes digital transformation, DevOps teams are feeling challenged to manage their growing influence on corporations’ success or failure. In this talk, Ido Green looks into the growing pains that most enterprises (many of them JFrog customers) face when adopting and consolidating DevOps at scale, and how these challenges are being mitigated with end-to-end platform solutions. We’ll wrap up with some DevOps best practices - from the trenches - that will help you address emerging trends that your bosses’ bosses really care about.

This document discusses lessons learned from serving 5000 customers. It highlights that developers and maintainers directly provide support in open source communities, which helps users become contributors. It also outlines metrics for various open source programs run by JFrog, noting billions of downloads and petabytes of data transfer. The main concerns discussed are Kubernetes adoption, cloud native development, hybrid/multi-cloud environments, and security.