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Scenario Studio

Scenario Studio is a collaborative web application that allows analysts to predict multiple forecasts based on historical economic data.
Client
Moody's Analytics
Year
2017-2021

My Role

Founding Product Designer

For this project, I was the sole designer. I conducted the research and designed the overall experience. My team included three developers and a project lead. I saw the project through from the kickoff meeting, to the launch, and through multiple rounds of iteration.

The Problem

The established product was a short term solution to a long term problem.
  • The established tool was a short term solution to a long term problem.
  • Our application was not collaborative.

Research

Understanding the Problem

What makes this product unique is that we were solving for internal and external needs. Prior to Scenario Studio, our clients had access to our predecessor forecasting application. This platform was lacking collaborative capabilities and had a dysfunctional navigation structure. Occasionally, our internal analysts would create forecasts for banks and other financial institutions to pass financial risk tests.  Performing these tests was time consuming for our analysts and required coordination in various programs.

To get a better grasp on this process , I conducted multiple stakeholder interviews. These interviews gave me some additional information to create a design brief  that I shared with the rest of my team. After the team came to an agreement, I wanted to confirm some of the assumptions that I had about our users. By conducting contextual inquiries, user interviews and scanning through client help logs. I was able to understand key behavior patterns as well as feature prioritization. 

Discovery

Key takeaways from research

External painpoint

Our Initial product overemphasized the U.S. market and our clients required a more globalized economic analysis. In addition, our clients wanted to be able to make multiple forecasts within the same screen.

Internal painpoint

The process of creating a global model was tedious and prone to merge failures. Country analysts would have to coordinate properly otherwise the model would crash.

Designs

Data driven decisions.

After understanding the key problems, I designed multiple iterations for the workspace, dashboard, and search interface.

BeforeAfter

Before and After : Workspace

My original thinking behind the workspace was an object that could be accessed from multiple places. My hypothesis was that having some type filter and sort ability could decrease a users cognitive load when switching between workspaces

BeforeAfter

Before and After : Search

While building this layout, I thought about the issue of users finding it difficult to navigate to the correct data set . To solve this, I converted the sidebar navigation to a list of data sets that could be filtered and sorted through. This allowed analysts to discover additional information about economic data they were looking for.

BeforeAfter

Before and After : Dashboard

To follow the behavioral pattern of users, cross checking their predictions with multiple charts, I created a dashboard layout to decrease the time spent on-boarding. I leveraged a similar design pattern from the same same application our users used.

Feedback

Testing out assumptions 

Demo Sessions

During the feedback portion of my design process , I collected user insight in different ways . Because the business was new to design thinking as a process , It was very difficult to get buy in to collect some behavioral research from our external users. Although, I was able to leverage client demo calls as a way to collect some feedback from our external users.

Early focus group session

I started each round of my internal feedback with a focus group to discover quick underlying themes. Afterwards, I conducted contextual inquiries and cognitive walkthroughs with a few economists from those focus group sessions . To monitor and engage with Internal users we built a internal slack channel to stay close to user needs.

Outcome

Key results

77

Decreased time spent on key user tasks

400

Sales Conversion (2018-2020)

5

Sales - Mil. USD
Honestly this is the best economic modeling interface I have ever used.
-TD Bank Economist

Economic stress testing, a process that would take our economist a month was cut down to a weeks worth of work. Initially, the intention on building this product was to cut down the time spent stress testing by creating a collaborative platform. In the process of doing so we built a frictionless client friendly application that had surpassed their expectations on what an economic forecasting application could do.