"aloe"

SaaS | A.I. | Natural Language Processing | Mental Health for Medical Professionals

Web-based SaaS that uses AI to help medical professionals securely identify their emotions within a context, and then provides them with resources to cope and connect anonymously.

Tools and Methodologies

"aloe"

SaaS | A.I. | Natural Language Processing | Mental Health for Medical Professionals

Web-based SaaS that uses AI to help medical professionals securely identify their emotions within a context, and then provides them with resources to cope and connect anonymously.

Solution

• Prototype

We wanted to inspire systemic change as well as ensuring a product that had maximum value for the user and for the business.

Users heavily noted a desire to discuss problems within their daily lives and institutions without being reprimanded negatively. Therefore, we wanted to ensure anonymity and create a more personal experience by allowing users to customize an avatar named "aloe."

"aloe"

SaaS | A.I. | Natural Language Processing | Mental Health for Medical Professionals

Web-based SaaS that uses AI to help medical professionals securely identify their emotions within a context, and then provides them with resources to cope and connect anonymously.

Ensuring the right features

Working with information as sensitive as mental health can be tricky. We wanted to ensure raw and valuable data through prioritizing user's comfort and access to resources.In order to do this, we needed to get detailed information on who our users are and what their pain points were. This is what we found:

Users' main sources of stress and lack of mental health supports validated the assumption that medical professionals need those specific resources.

From our research we centered these three personas and their needs.

"aloe"

SaaS | A.I. | Natural Language Processing | Mental Health for Medical Professionals

Web-based SaaS that uses AI to help medical professionals securely identify their emotions within a context, and then provides them with resources to cope and connect anonymously.

Stages of Iteration

From the research we learned that users wanted:

With those user needs in mind we did rounds of Crazy 8's where each of the most agreed upon components were chosen to become wireframes.

We utilized many of the existing preferred user applications, such as Netflix, as inspiration for the designs.

After agreeing on the wireframes, we moved in mid-fidelity, where we conducted usability testing on the and made adjustments accordingly.

Wire Frames | Mid-Fidelity | Hi-Fidelity

Design System

We chose the color scheme to exude a relaxed feel while utilizing mostly whitespace and color accents.The illustrations were created to be sleek and minimal in order to focus on the purpose of the interactions.Utilizing Tiempo as a header text and Avenir as a body text gave a professional feel while also being approachable.See the details in the prototype below.

• Prototype

"aloe"

SaaS | A.I. | Natural Language Processing | Mental Health for Medical Professionals

Web-based SaaS that uses AI to help medical professionals securely identify their emotions within a context, and then provides them with resources to cope and connect anonymously.

Last thoughts and Challenges overcame

This project was incredibly exciting because we were tasked with creating a product that was not only viable as a business model, but also able to create a safe and resourceful place for medical professionals to get mental health support.I believe we were able to accomplish that and overcome the following challenges :

Some successes we found were:

Tools and Methodologies

Solution

• Prototype

We playfully started by telling the user of a secret they are missing out on.

We then centered the rest of flow around a tangible goal of their choice. This peeks their interest and investment.

We then asked and explained why each essential benchmark question is important to reaching a total potential savings and making an impact with carbon-free systems.

We gamified the process by using game language and creating levels they could beat, ultimately incentivizing them to finish the questionaire.

Lastly, we wanted the product to be very interactive, therefore we ensured to cognitively link the answers to their questions with the increasing monthly savings on their electricity bill.

Why did we choose this path?

When we first met with Diane, the owner of thirdACT, she mentioned these essential business focuses:

In her mentioning the relationship she develops with clients, she noted that she has to have long initial conversations educating the client on the background of electrification and carbon-free system.This raised a red flag for us because if users didn't initially understand the full scope of the potential benefits, they would be less likely to even finish an extensive onboarding process.Although this was true, we mainly assumed that the largest barrier for users going carbon-free was the financial investment.We kept these two assumptions in the back of our minds with the ultimate goal of revealing if the research validated our assumptions. This is what we found:

Most competitors who developed some form of carbon emission calculator, were lacking brevity, incentives or were in a very saturated market, such as solar energy.The most interesting competitor we investigated was the World Wild Life Fund. They have a greenhouse calulator that is geared toward children. The calculator gamified and educated the user in a captivating way. We found great inspiration in that.

We moved on to user research. Here we found a few facts:

We developed two personas from our interviews and centered them in our designing phase.

Unexpectedly, our research validated that the largest barrier to going carbon free was not financial at all, but rather continued to point to a lack of understanding around the details of the concept as well as its benefits.

How do we build it?

We spoke to energy engineers and non-profit liaisons between lending firms and home-owners to get an understanding of the type of questions we should be asking our users. They mentioned the points below:

They both mentioned that a lengthy quoting process could get exhausting to homeowners thus, breaking up the process into managable steps is ideal. That looks like reducing the questions asked to only the essentials.In our case, we found four essential questions that would allow us to largely automate the process of providing a savings quote, while not fatiguing the user.

My team and I used Crazy 8s to start ideating and expressing some of our designs.

We found that we had two different visions. One group envisioned an interactive dashboard that would automate the entire quoting process for thirdACT. While the other group went for a more user-centered approach in educating, exciting and incentivizing the user in a gamified way.

In order to figure out how to move forward we went back to research and created some non-negotiables.

With our non-negotiables we were able to move forward with the gamified version including some adjustments:

This was the sketch we used to build the low-fidelity prototype.

Visual Design

We ensured to use thirdACT's existing color palette and typography.

Our design system changed over time, this was our initial one.

We also wanted to gamify and personalize the flow with an avatar. We made adjustments to Elly and animated her throughout the process.

Evolution

We then began in low-fidelity and moved into mid and high fidelity. Here is the evolution.

Last thoughts and next steps

Being that I am so passionate about sustainability, I was thrilled to take on this project and be asked to continue on with thirdACT through the rest of it's development.Upon being presented with the prototype thirdACT had the following comments:

We were really proud of the following challenges we overcame throughout the process:

We plan on the following:

Graphite | Oil | Digital