Conceptual Housing Management Appwith AI Analysis
Accessibility Focused
WCAG
Desktop and Mobile
Conceptual Design
AI Analysis
Multiple User Types
A fully accessible app to allow social housing tenants to identify and report issues within their housing placement, and automatically arrange appointments with contractors to get the issue fixed.
Data is analysed by the tool and presented as insights and suggestions, encouraging well-informed business decisions around future-proofing, immediate weather warnings to tenants, and possible cost savings.

Understand & Ideate
We accommodated three user types along the journey, and our output required two different platforms:

Define the Possibilities
As we gathered insights, we were able to research existing solutions and brainstorm new ones based on capabilities of emerging AI Tech that could slot into this platform.

Explore & Create
Mapping out the process for each user in lo-fi meant that the finer details were refined, closing any gaps and considering areas for possible enhancement. Which patterns should be utilised, how might these tenants operate the app with possible language, or accessibility barriers.

Design & Deliver
For visual design, I worked from the client’s existing design system, setting up the file with a whitelabelling capabilities, as the business may decide to use the conceptual prototype in their B2B client’s own brand colours when demonstrating.
Both mobile and desktop variants were designed with attention to the needs of each user type. The tenants focused on data input and management of their appointments. Contractor views were geared towards easy task management and scheduling. Housing Association Staff views on a desktop screen would see an overview of everything.
The final prototype was clickable and built to support stakeholder walkthroughs, illustrating the intended future-state user experience.





Get in touch
Conceptual Housing Management Appwith AI Analysis
Accessibility Focused
WCAG
Desktop and Mobile
Conceptual Design
AI Analysis
Multiple User Types
A fully accessible app to allow social housing tenants to identify and report issues within their housing placement, and automatically arrange appointments with contractors to get the issue fixed.
Data is analysed by the tool and presented as insights and suggestions, encouraging well-informed business decisions around future-proofing, immediate weather warnings to tenants, and possible cost savings.

Understand & Ideate
We accommodated three user types along the journey, and our output required two different platforms:

Define the Possibilities
As we gathered insights, we were able to research existing solutions and brainstorm new ones based on capabilities of emerging AI Tech that could slot into this platform.

Explore & Create
Mapping out the process for each user in lo-fi meant that the finer details were refined, closing any gaps and considering areas for possible enhancement. Which patterns should be utilised, how might these tenants operate the app with possible language, or accessibility barriers.

Design & Deliver
For visual design, I worked from the client’s existing design system, setting up the file with a whitelabelling capabilities, as the business may decide to use the conceptual prototype in their B2B client’s own brand colours when demonstrating.
Both mobile and desktop variants were designed with attention to the needs of each user type. The tenants focused on data input and management of their appointments. Contractor views were geared towards easy task management and scheduling. Housing Association Staff views on a desktop screen would see an overview of everything.
The final prototype was clickable and built to support stakeholder walkthroughs, illustrating the intended future-state user experience.





Get in touch
Experience
Work
Contact
Conceptual Housing Management Appwith AI Analysis
Accessibility Focused
WCAG
Desktop and Mobile
Conceptual Design
AI Analysis
Multiple User Types
A fully accessible app to allow social housing tenants to identify and report issues within their housing placement, and automatically arrange appointments with contractors to get the issue fixed.
Data is analysed by the tool and presented as insights and suggestions, encouraging well-informed business decisions around future-proofing, immediate weather warnings to tenants, and possible cost savings.

Understand & Ideate
We accommodated three user types along the journey, and our output required two different platforms:

Define the Possibilities
As we gathered insights, we were able to research existing solutions and brainstorm new ones based on capabilities of emerging AI Tech that could slot into this platform.

Explore & Create
Mapping out the process for each user in lo-fi meant that the finer details were refined, closing any gaps and considering areas for possible enhancement. Which patterns should be utilised, how might these tenants operate the app with possible language, or accessibility barriers.


Design & Deliver
For visual design, I worked from the client’s existing design system, setting up the file with a whitelabelling capabilities, as the business may decide to use the conceptual prototype in their B2B client’s own brand colours when demonstrating.
Both mobile and desktop variants were designed with attention to the needs of each user type. The tenants focused on data input and management of their appointments. Contractor views were geared towards easy task management and scheduling. Housing Association Staff views on a desktop screen would see an overview of everything.
The final prototype was clickable and built to support stakeholder walkthroughs, illustrating the intended future-state user experience.




Get in touch
Experience
Work