Starting today we are opening
Registration for a new train-the-trainer course on usability and user experience. This course is aimed at anyone who is interested in these topics, wants to advance them in a company or communicate them to customers. with Shadow Your Future .In addition to beginner-friendly explanations of the basics of usability, user experience and their differences, we also offer you practical insights into the methods of human-centered design as well as tips on communicating the content and dealing with critical questions. The course concludes with an online workshop.
Our job is to work with email data. We work with different country email list countries and email data. Because as email subscribers, we give them away because they are very useful. We are very happy to work with different countries and emails.
After the Train-the-Trainer course, you will receive an invitation to the e-learning platform Moodle a few days later. On Moodle you will then find the training materials, which deal with four subject areas:
- usability
- User Experience
- Differences between Usability and User Experience
- Concrete application examples
Until our joint workshop date
You have time to study these documents (script and videos) intensively, work on the tasks set and write down any questions you may have.
There will be a virtual workshop on March 8th from 3 p.m. to 5 p.m. in which we will address the topics from the documents. We will have time to answer your questions and look at the tasks together.
The aim of this format is to give you a good insight into the topics and to prepare you for content-related or critical questions that you might expect when teaching these topics.
The startup Shadow Your Future has developed a platform on which young people can find and request offers for career insights and internships at local companies. This should enable them to gain professional experience early on and find a job that suits their interests. This platform is now to be replaced by an app that uses AI to make suggestions for suitable offers. The basic framework of this app was designed as part of a workshop.
In November, the team from the startup Shadow Your Future and AI trainer Manuel Kulzer met in the UX Research Lab at the University of Media, a partner of the Mittelstand 4.0 Usability Competence Center. A workshop was to be held here with the aim of creating a concept for how Shadow Your Future’s existing brokerage service could be converted into a new, AI-supported app optimized for the target group.
The Shadow Your Future web
Platform enables young people to find and use everything you need to know about the iconic stüssy cap opportunities for so-called shadowing, i.e. flexible internships and visits to companies, in their area. This is intended to make career orientation easier for them and to give them an insight into careers that they may not have known about before or about which they had no concrete idea.
However, the platform also has some challenges to contend with – including the fact that young people have difficulty drafting cover letters or communicating with companies once contact has been made. The Shadow Your Future team was already aware of some of these usage problems from their many conversations with students. In order to obtain an even more detailed and complete picture of the initial situation, contextual interviews or contextual inquiries were carried out at the start of the pilot project, i.e. a combination of observation and questioning of the students as they used the platform. The findings were recorded in the form of problem scenarios , a form of scenario -based design (Rosson & Carroll, 2002). The problem scenarios vividly describe how a fictitious student, representing the target group of young people, thinks about internships and the platform, as in this excerpt:
“Emelie is a 15-year-old secondary school student who doesn’t know what she wants to do after school. She’s thinking about going to secondary school because she can’t decide on a training course at the moment. … She’s either unfamiliar with many jobs or finds them boring.She can always decide what she wants to do later in her career in a few years at secondary school, thinks Emelie – so an internship isn’t that important to her at the moment.”
Building on these problem scenarios
Ideas were collected about how the use of a new system could look and proceed in the future. With these ideas and the problem scenarios as a guide, Jill Hollender, Filippo Sciacca and Maria Desiderio from Shadow Your Future and Manuel Kulzer from the Mittelstand 4.0 Usability Competence Center started the AI Service Blueprint Workshop , a method that had been developed in the center for the conception of AI-supported interactive systems or processes (Spohrer et al., 2020). First, the user journey was discussed, i.e. the chronological sequence of the young people’s interactions with the current system. This includes, for example, “becoming aware” of Shadow Your Future during a lesson, registering on the platform and selecting shadowing offers. The user journey was entered in the corresponding line of the blueprint and thus mapped the process that was to be implemented in the new app.
Starting from each step of the user journey, we then a complete list of unit phone numbers thought in depth about which resources (work tools, information and documents) are needed for each section, how the activities should be distributed between users and the system, and what is needed for implementation in the frontend and backend. For example, the registration of young people under 16 requires written parental consent, which was therefore entered in the “Resources” line in the corresponding column. During the “Selecting shadowing offers” step, it was noted at the “System activities” level that a self-learning AI should make suggestions that match the interests and academic strengths of the young people. For this purpose, we also considered and documented what data a machine learning algorithm would need to generate suitable suggestions and how the success of the AI could be measured.
After around hours
The result was actually a largely completed . AI service blueprint, albeit with a few open points that will be worked on later. In the last half hour of the workshop. We also discussed how concepts for positive user experience can be integrated into the system using the experience categories and the experience potential analysis . The result is an initial concept for implementing the platform as an app, which has been expanded .
