Room Condition Rating Scale Research

Homegenius aimed to become a network of home buying resources and products that leveraged AI to enhance the home buying experience. One tool use AI-driven room condition scores that rated the condition of different rooms in a selected property. In this project, , my teammate and I aimed to explore the optimal rating scale design to display our room condition scores.

Homegenius was a network of home buying websites and products that leverage AI to enhance the home buying experience. One way this is done is by generating AI-driven room condition scores that rate the condition of different rooms in a selected property. In this project, D. (my teammate) and I aimed to explore the optimal ways we can display our room condition scores across multiple Homegenius platforms.

Role/Service

UX/UI Designer + Researcher

Tools

Figma

Sector

Real Estate

Defining the Goal

We had a problem with credibility

The Problem

Initially, the Homegenius platforms used the 5-star rating scale to display the room condition scores. Due to the use of 5 star scales typically being displayed in tandem with user reviews, the VP thought the 5 star scale did not communicate to users that the room condition scores were generated by AI – a key value proposition of the product.

The Goal

Research and define the room condition score display that best communicates objectivity and AI-derivation, and resonates most with users

Research + Empathizing

I was tasked with initiating our research process by scanning the home buying industry and researching best design practices for rating scales.

Main findings

  • 5 Star rating scales communicate undertones of subjectivity with it's strong association with social proof elements like reviews, for example.

  • Numeric scales help dissolve that perceived association.

  • Users use colors as a mental shortcut to understand what things mean.

  • Numeric scales are more accessible because they transcend language barriers, unlike rating scales that use letters.

  • The "poor–excellent" rating scale is popular, however also strongly associated with user reviews and can risk being offensive to users.

Competitive Audit

D. and I conducted a competitive audit on 2 direct competitors that also used AI to help generate room condition scores. 


Our findings were:

  1.  Similar to Homegenius, the AI-generated room condition scores correspond with the Fannie Mae property condition rating rubric

  2. Our competitors abandoned the 5-star rating scale and use a numeric scale and color-coding instead.

Design Guidelines

Guideline #1

Abandon the 5-star rating scale for the numeric scale to increase sense of objectivity and broaden accessibility.

Guideline #2

Accompany ratings with non-offensive language to describe room conditions.

Guideline #3

Use colors as a heuristic.

Develop

We created several design concepts in line with our guidelines.

Concept #3

Fannie Mae rating scale confusion

We had to decide how we wanted to display the rating scale increments. In order to stay consistent with the Fannie Mae rubric, we made our scale 6-1 (6 being bad, 1 being good). Despite this not being the most intuitive scale, we thought consistency with the rubric was key, and made sure to develop a user resource key.

Testing

Let's do a comparison study to find our design solution!

Our next step was to create 2 comparison studies using usertesting.com. The objective of the first study was to find out what design concept 5 lay users preferred. The second study focused on 5 participants who were all real estate agents. We tested 10 people in total.

Sifting through out feedback!

We watched all of our testing sessions and took detailed notes on the participants as they went through the tasks we set up for them.

Findings

Alongside finding that users preferred Option D as their overall favorite concept, We gained valuable insight while reviewing why users selected the options they chose. Which was readability, descriptiveness and visual appeal.

Takeaways & Next Steps

Here are a few takeaways from my time on this project

What I learned

I was reminded of the importance of accessibility. D. and I were fortunate to get a participant in our comparison study that mentioned the struggles he had while trying to read the screen. Amidst being concerned with making the most visually appealing and intuitive design, I honestly left out accessibility. I’m determined to never put it on the back-burner again.


All in all! I had fun tag-teaming with D.!

Thanks for reading 🧑🏾‍🦲

Back to top