DIYAI

DIYAI Image
Sector
News Media
My Role
As the UX lead, I built a rapid prototype to secure executive buy-in and drove the development of the MVP. I worked hands-on to define and refine the platform’s core features, including AI-powered content extraction, moderation, recommendations, and analysis. This also included AI/ML-driven detection of bad actors and fake news to ensure content credibility and quality. I guided the team through design decisions, created user flows and wireframes, and collaborated closely with engineers to integrate AI seamlessly into the product.
Project Duration
5 Months

Project Overview

DIYAI is a self-serve, AI-powered platform designed to streamline press release creation for small to medium-sized businesses. As customer expectations shift toward self-service tools for creating and distributing press releases without relying on editors, DIYAI meets this demand by enabling users to efficiently generate high-quality content. The platform leverages advanced features such as AI-driven content extraction, moderation, recommendations, and sentiment analysis, delivering an affordable, scalable solution while maintaining professional standards through machine learning-backed quality control. This ensures Business Wire stays competitive and relevant in a rapidly evolving market.

Business Case Through Reseach

Market Opportunity

Market research indicates a significant revenue opportunity in the SMB sector, where over 30% of small businesses need affordable press release solutions. DIYAI is positioned to capture a notable share of this market within the first few years, offering a scalable, AI-powered self-serve platform.

DIYAI Ppportunity

Market Segment

Market segmentation was performed to identify which user groups had the highest potential value and unique needs, allowing the product and UX design to focus on features, workflows, and AI-driven solutions that would maximize adoption, engagement, and business impact.

New Market Segments

User Flow Diagram

The User Flow Diagram was created to align stakeholders on the end-to-end experience and pinpoint where AI would be applied—covering content extraction, moderation, recommendations, and vetting. This ensured clarity on how AI enhanced the workflow while keeping the product vision and technical implementation consistent across teams.

User Flow Diagram

Interactive Prototype

An interactive prototype served as a “concept car” to quickly demonstrate the vision and secure leadership buy-in. Speed was critical in this effort—the prototype was built rapidly to showcase core key features in action, giving stakeholders a tangible view of the user experience. This approach not only validated the concept but also created early alignment across teams, accelerating momentum toward MVP development.

DIYAI Prototype

User Flow Diagram

The User Flow Diagram was created to align stakeholders on the end-to-end experience and pinpoint where AI would be applied—covering content extraction, moderation, recommendations, and vetting. This ensured clarity on how AI enhanced the workflow while keeping the product vision and technical implementation consistent across teams.

User Flow Diagram

Wireframes

Wireframes were created to secure stakeholder buy-in and establish a shared understanding of what the team was building. They served as a clear, low-fidelity blueprint of the platform’s structure and functionality, enabling alignment before advancing to higher-fidelity design and development.

Wireframes

Hi-Fi Designs

The User Flow Diagram was created to align stakeholders on the end-to-end experience and pinpoint where AI would be applied—covering content extraction, moderation, recommendations, and vetting. This ensured clarity on how AI enhanced the workflow while keeping the product vision and technical implementation consistent across teams.

Hi-Fi Designs

User Flow Diagram

The User Flow Diagram was created to align stakeholders on the end-to-end experience and pinpoint where AI would be applied—covering content extraction, moderation, recommendations, and vetting. This ensured clarity on how AI enhanced the workflow while keeping the product vision and technical implementation consistent across teams.

User Flow Diagram

Hi-Fi Designs

Iterations Through Research

Iterative design was important to quickly refine concepts based on feedback and ensure the solution evolved toward user and business needs.

Iterative Designs

Design Preference Testing

Design preference testing was important to validate visual direction early and align stakeholders on the look and feel before full implementation.

Design Preference Testing

Final Designs

The final design delivered a polished, intuitive experience with AI features seamlessly integrated, providing a clear blueprint for development and ensuring consistency across the product.

Hi-Fi Designs

Results & Outcome

The initative secured leadership buy-in and demonstrated the viability of a self-serve, AI-powered platform in a shifting market. Projections showed DIYAI could generate $9.4M in revenue over five years by capturing demand from small to medium-sized businesses seeking affordable press release solutions. Beyond revenue potential, the work established a clear blueprint for development, aligned stakeholders around the product vision, and validated how AI integration—spanning content extraction, moderation, recommendations, sentiment analysis, and credibility vetting—could strengthen both usability and market competitiveness.

Summary

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Let's Connect

If you are seeking a dedicated and innovative design leader to join your team, I would love to hear from you. Let's create something amazing together. Fill out the for below or email me directly to start our journey towards exceptional digital experiences.