EVA

Your Personal Voting Assistant

Fulfilling your duty as a citizen is not “cool” and is a lot of work – especially when you want to make the right decision for the future.

We used design thinking methodologies to build a concept in order to make life simpler for citizens and bring back trust in the election process.

Project Outline

  • Time

    6 months

  • Scope

    Define a Target Group. Create Personas and Value Proposition Canvases based on qualitative research. Mockup and test a solution with the target group and Design a Prototype

  • Target Group

    Young Adults 18–29

  • Product or Service

    News aggregation platform

Methods

  • Value Proposition Canvas
  • Street Interceptions
  • Journey Mapping
  • Information Architecture
  • Mockup and Prototyping

My Role

  • Design Researcher
  • User Testing
  • Information Architect
  • Concept for the Back-End
  • Branding and visual design

Team

  • Daniel Quon
  • David Chin
  • Jeanette Melgarejo
  • Louis Zheng
Challenge

How might we better engage 
citizens in the election process and motivate them to vote?

Solution

EVA – The Electronic Voting Assistant

EVA is an artificial intelligence based software which assists you to make a better voting decision that fits your lifestyle.
Eva does this by answering three important questions.

Eva’s web interface allows users to have one central individualized news site.

Eva’s App is the central interaction point where voters can inform themselves, change settings and connect Eva to other accounts.

Our research indicates that people spend a significant amount of time on communication apps and Social Media. Add Eva as a friend in your favorite Social Media Network and she will send you relevant election news.

Prior to the electionWhat proposition is relevant to me?

The Crystal Ball feature gathers information about the ballot, keeping in mind the voter’s preferences. It then creates a customized quiz in which the software verifies the voter’s opinion and generates aligned voting recommendations. This information can be stored in the Cheat Sheet for use on election day.

Election DayWhat do I need to know?

On election day the cheat sheet reminds the voters about poll location, directions and his/her voting preferences.

After the Election DayWhat happend to my votes?

The PropTracker displays relevant information regarding your vote and allows you to examine its impact.

Process

The Design Thinking Methodology

We followed the design thinking process, which is divided into four main questions:
What is? What if? What wows? What works?

What is?

Many people want 
a change in the 
political system.

50%

of the participants stated that motivation for voting comes from family and the news.

Information overload 
and peer preasure can lead to a counter reaction.

30%

stated that the internet is their 
main source to gather information about the election.

Many people want 
a change in the 
political system.

18%

of 18-29 year old citizens 
of California are not registered.

Technology is expected 
to create gains and 
alleviate pains

628,002

eligible voters in San Francisco. 
69% are registred, 31.5% do not 
prefere any party.

People are more likely to vote against than for something.

Value Proposition Canvas

We collected and categorized insights from our quantitative research on a Value Proposition Canvas.

“The News are manipulative. I need a way to validate and trust the sources before I can make a decision.”

“My day is usually pretty packed. I don't know when I can go through all this voting brochures and prospects.”

Jenny is a 27 year old student attending SF community college. She has a part-time job, is married and aspires to be a children’s book illustrator. she is a registered voter but does not vote.

Experience Map

We mapped out jenny’s average day to understand her media consumption pattern.

We mapped out Jenny’s average day to understand where she typically consumes media.

What if?

Napkin Sketches

To compare different ideas we created napkin sketches to outline the key elements.

This napkin sketch incorporates the visualization and tracking of propositions on the ballot as well as the interaction between the system and the user.

What wows?

We got in touch with our target group in San Francisco’s Mission District. To gather insights and engage our target segment, we built a chalkboard sign which read: “I Vote because…” and “I don’t Vote because…”.

What works?

Software Architecture

This a systemic view of EVA’s backbone. It shows the functionality of the service, data collection, processing and the user touch points. The app is divided into three parts:

Input – collects both data about the user’s behavior as well as election-related news

Processing – calculating the relevance of the news articles are curated by calculating the relevance of the news article based on the user’s voting behavior.

Output – the news articles are then converted into the voter’s preferred media format and shared through preselected channels.

User Flow of the EVA App

The chart displays the flow of the user interface. 
Users will navigate through the app from the home screen.