Loading
Case Study - 2024

Research

To set EverBright up for success I needed a comprehensive understanding of our users and the greater solar homeowner service field.

Getting a budget for research was a challenge when I started. I leaned heavily on best practices in the field and leveraged my network for qualitative data to tackle that obstacle.

My Role

Lead Product Designer

Company

EverBright

Research Goals

  • Gain a comprehensive understanding of our competitors and common use cases within the field
  • Gain an understanding of user pain points, motivators, and needs
  • Analyze current state of mobile app and look for improvements
  • Gain insights on sustainable design patterns

Limitations

  • Research budget under $500
  • Limited team capacity
  • Short timelines
  • No access to users
  • Minimal analytics integration

My Solution

Initial research consisted of 6 studies completed over the course of 3 weeks.

Competitive Analysis

In-depth analysis of 9 competitors & 47 features

Heuristics Evaluation

Analysis of existing usability & accessibility issues

Heatmap Analysis

Analysis of in-app user behavior & key interaction points

Card Sort Study

Information Architecture study with internal users

UX Trends Study

Sustainable design trends discovery & analysis

Contextual Inquires

Series of 6 interviews & analysis of themes

Competitive Analysis

To kick off the research phase, I completed a competitive analysis that consisted of:

  • 9 competitors
  • 6 feature categories
  • 47 features

This gave me a dynamic view of our competitors, their core areas of focus, and how they were solving similar problems to ours.

Heuristics Evaluation

I conducted an initial heuristic evaluation and identified the following issues:

  • Usability issues
  • Accessibility issues
  • Issue prioritization & severity

Heatmap Analysis

My team and I conducted a heat-map analysis to glean insight into user behavior and identify key interaction points and usability issues. We learned:

  • Billing payment, contract access, and contact support accounted for most app use
  • Interaction with system controls was minimal
  • Non-interactive items were being tapped on frequently

Card Sort Study

To help optimize information architecture in the app, my team and I conducted a card sort study using UseBerry.

While the data set was small, we were able to:

  • Identify patterns in user navigational expectations
  • Identify key items with high similarity between participants
  • Use the information gleaned to improve the information hierarchy of the MyEverBright app

Contextual Inquires

To work around our poor real-user access, I tapped my personal network of homeowners with solar panel systems and conducted a series of 6 interviews.

For each interview I asked my participants a series of 8 questions, and had them walk me through a typical session with their digital home-owner portal.

I consolidated the notes from these interviews and organized them by theme to identify patterns and action items.

Key Research Insights

Low Use

Users typically used the app once or twice, then never again.

Poor User Experience

Application was not optimized for mobile devices and did not follow best practices.

Poor Accessibility

Application was not WCAG 2.0 compliant and lacked key usability features.

Negative Feedback

App score was low, and negative feedback centered on login and billing experience.

Behind Competition

Application was far behind our competitors in providing our users with value.

Difficult to Navigate

Users were getting lost in the app when looking for key features.

Patterns Among Competition

Competitors have been solving similar problems and share common design patterns.

Homeowners Want More

Education, curiosity, and enjoyment were key motivators for homeowners engaging in similar apps to ours.

Application

Research played a vital role in my design process and I used it in all stages of the MyEverBright redesign, including:

  • Visual Language Identification
  • Complete app redesign
  • Real time power flow feature
  • Data monitoring charts feature
Thanks for scrolling!