AI Image Generator for Churches
SaaS Ministry Platform | UX Design Challenge
Tools Used: Miro | XTensio | Whimsical | Figma
Overview
This was a 72-hour design challenge completed for a product design interview. The objective was to explore user needs and propose intuitive UX solutions for an AI-powered graphic generator tailored specifically for churches. The tool is intended to support users in creating and finding media for sermons and social media posts—reflecting both spiritual themes and the unique identity of their church.
Problem Statement
Current church media platforms offer a wide variety of graphic content, but lack the ability to deliver personalized, searchable, and editable AI-generated imagery. This limits users’ creative control and slows down content creation workflows.
Project Goals 🎯
Design an intuitive interface for searching, generating, and editing church-specific media.
Enable creation of personalized AI-generated images and provide access to previously generated versions.
Ensure users feel supported, not overwhelmed, by AI functionality.
Chosen Methods
UX Audit: Identify friction points and usability issues in the current experience.
Competitive Analysis: Assess how similar tools address comparable needs to uncover gaps and best practices.
Low-Fidelity UX Concept: Quickly explore layout ideas and key flows to align on direction.
High-Fidelity UX Concept: Deliver polished, development-ready designs that incorporate validated insights.
AI Feature Requirements 📝
Allow users to save AI-generated graphics and revisit earlier versions.
Enable effective filtering of AI content based on visual or thematic attributes.
Provide seamless editing tools for both imagery and text layers.
Ensure easy navigation across media categories such as sermon art, announcements, and seasonal content.
My Process
In an ideal scenario without time constraints, I follow a research-driven, iterative approach that balances user needs with business goals and technical feasibility. I begin by defining the core problem, articulating hypotheses and assumptions about user behavior, and aligning on clear project goals that serve both users and internal stakeholders.
My process typically unfolds in the following stages:
Discovery → Ideation → User Research → Design Refinement → Validation → Developer Handoff & Support → Post-Launch Monitoring
Throughout each stage, I tailor methods to the project’s unique needs and constraints—ensuring thoughtful decisions and efficient execution.
UX Audit of Ministry SaaS Products; CMG & ShareFaith
To inform the design of a new AI-powered image generator for church media, I conducted a detailed UX audit of several top SaaS platforms in the space. These platforms serve users searching for images and media assets, making their search flows and usability critical.
The audit revealed several key areas for improvement. To organize the insights, I applied a key categorizing each finding as a general observation, research potential, or user pain point, including:
An overly cluttered header carousel causing visual overload
Opportunities to improve copy for clarity and engagement
Cart placement that does not follow UX best practices
Features intended for signed-in users visible to the public
Incorrect implementation of UI components, such as checkboxes
Additional minor usability and consistency issues
Competitive Analysis - Igniter Media & Sunday Social
To design an AI solution that surpasses existing SaaS church media graphic platforms, I conducted a comprehensive competitive analysis of Igniter Media and Sunday Social—two key players offering similar features. This analysis helped identify strengths to build on and gaps to address in my design approach.
Initial Low-Fi UX Concepts for CMG AI Image Generator
I developed an initial user experience concept for organizing my AI image generator solution, drawing inspiration from the discovery areas mentioned earlier. Instead of embarking on an entirely new project, I chose to concentrate on enhancing the one of the SaaS church media graphic products I audited above.
High-Fi UX Concepts for CMG AI Image Generator
Based on the insights above, I designed a user experience that empowers customers to create graphic images tailored to their specific needs. Given additional time, I would conduct a usability study with customers to gather feedback on the features and functionality before moving into development. Additionally, early concept testing of two to three different layouts for the initial image generation would help identify the most intuitive user flow and uncover potential gaps.
Prototype Coming Soon