// SEMESTER

SS 2021 IG6

// MODULE

Lean Design Project

// TEAM

// TOOLSTACK

Figma
Principle
HTML
CSS

// PROJECT INFORMATION

Deepiction deals with the topic of personal data. It offers a comprehensible and cross-platform solution that [1] gives the user an overview over all the personal data collected through any platform or account, [2] analyses what kind of profile can be put together by this information and [3] helps the user to find the best possible data security settings for more privacy. 

// GOAL

Data is titled as the „currency of the digital age“. Every movement is tracked ans analyses. There is now way to keep track what the world wide web and the puppet masters behind it know about you. This project wants to give data sovereignty back to the users for more control over the most sensitive information.

// DESIGN PROCESS

// KEY ISSUS

// LACK OF KNOWLEDGE

Most unseres dont’t have access to the complex subject area of personal data. On top of that most lack of initiative to deal with this complex world or are afraid to find out more.
 

// DELIBERATE MANIPULATION OF BEHAVIOR

Online behavior is unknowingly controlled, users seemingly autonomously make decisions on the best data security settings but actually grant access to sensible information.

// COMPLICATED DATA REQUEST

According to eu-directives, users are entitled to access the data collected by platform providers. Most requests are purposely designed complicated or provides take ages to send your data package.
 

// NO DATA OVERVIEW

Most Plattform only provide an enormous list without any structure or orientation. The estimation of the extent of one’s own data and possible correlations are hardly recognizable.

// QUESTION ZERO

Deepiction is a solution for young adults with a high digital presence to provide them with an overview of their personal data from private internet activity and its consequences.
 

// PERSONA

This is Ashley. Ashley has already requested his own data from the platform provider Instagram. He can't make heads or tails of the long list of data, so he looks for help in extracting comprehensible information from his own data and comes across the website deepiction.

// DESIGN PRINCIPLES

// VALUE PROPOSITION CANVAS

The value proposition canvas was used to define the problems of the users very clearly and to illuminate them in more detail. The pains and gains were elaborated through user interviews.

// CARDSORTING

Cardsorting validated the content and structure from users.
During cardsorting, we wanted to clarify several questions:
[1] What view do users want on the main page?
[2] What main features do users want when they see our tool? (Overview, administration, etc.)?
[3] What information architecture structure do users want?

// STRUCTURE

Based on the use cases, an information architecture was built. In the process, the various use cases were combined. 

[1] Ashley had been using the tool for a few weeks now and has been tracking his internet activity. 
[2] Today he wants to see what can be found about him on social media. To do this, he asks certain questions.

// WIREFRAMING

Based on the results of the card sorting, we created the first versions of the wireframes which we quickly tested.

// USERTESTING

The test person was first introduced and prepared by a short briefing on the procedure and content. In the course of the test, he was given two partial tasks to complete. In the first step, the registration process was tested, and in the second step, the entry into our solution through the main feature of the search bar. The goal was to find out if the registration process was understood and if all the necessary information was conveyed in order to (1) create a basis of trust in the tool, (2) successfully provide all the necessary information needed by the solution to give the user (3) an interesting and complete overview of the personal data.

// CONCEPT

We have created an alternative solution that acts as a digital companion for the user through the confusing world of data. In doing so, our tool works as a kind of translator, offering the user a complete and clear overview of all the data that is created across all platforms.We want to break the monopoly of the big tech companies and give the end user back control over their own data.

// IMPLEMENTATION

The focus of the proof of concept was on the main feature of the search engine. For the time being, it is a local server that forms the backend for a website on which questions can be asked about itself. These questions are then evaluated with the help of a full-text search in the database.

// FINAL PRODUCT

// REGISTRATION AND ONBOARDIING

Before registering, the user should get an overview of the value of the tool. The philosophy and values of our solution are also clearly communicated before the user enters data by opening an account on our solution. The onboarding is intended to provide the user with a brief overview of the location of the various features and to offer orientation.

// SEARCH ENGINE

In user interviews, we found out that the lack of interest and initiative in protecting personal data is often explained by the wrong approach. By using the question-answer principle as an introduction to the user's own world of data, we want to motivate the user to first find out what data is already available about him/her and what conclusions can be drawn from it.

// OVERVIEW

The overview page serves to provide the user with an overview of his data without having to ask a question. First, three facts from the data set that could be analyzed for the set period are analyzed and give the user an insight into what conclusions can be drawn from his data.

// HOW TO

Data management is another feature of the solution. Since the actual management of privacy settings can only be done on the platforms of external providers, our tool helps users to find the right settings.

// Q&A

In order to give users the opportunity to learn about our philosophy and data in general, we have developed the Q&A.

// CONCLUSION

Looking back on the project and our final product, one should quickly realize, regardless of the playful character and the futuristic design, that the proper handling of data/data protection is far too little anchored in our minds. We move in the digital space on a daily basis and have little understanding of how much we reveal. In summary, we must emphasize that it is not only up to the user, but the entire system of data processing that is designed for the benefit and profit of companies. 

In order to counteract this inequality, there must be more products like ours in the future, so it can seriously come to a rethinking of people in terms of data surrender and the associated market change.

made by Jasmin Klement