PitchReady
An AI-powered platform that helps professionals craft and deliver presentations that resonate.
Overview
PitchReady was born from my love for storytelling and my fascination with how artificial intelligence can augment human communication. The platform acts as a co-pilot: it suggests narrative structures, visual layouts, and speaking notes while preserving the presenter's authentic voice.
Whether you're pitching a health innovation or persuading stakeholders to fund a new initiative, PitchReady guides you from ideation to final delivery.
Key Features
AI-Assisted Narrative Flow
Generate outlines and story arcs tailored to your audience and presentation goals.
Design Recommendations
Choose from slide templates informed by cognitive science and accessible design principles.
Practice Mode
Receive feedback on pacing, tone, and gestures using your webcam and microphone.
Live Sentiment Analysis
Capture audience reactions in real-time and adapt your delivery on the fly.
My Role
I led the concept development and user research for PitchReady. Collaborating with UX designers and ML engineers, I mapped the user journey, defined feature requirements, and oversaw prototype testing with entrepreneurs and healthcare leaders.
My clinical background helped ensure that ethical considerations and data privacy remained central throughout development.
Key Responsibilities
- Conducted user research with 50+ potential users
- Defined product roadmap and feature prioritization
- Collaborated with design team on UI/UX
- Led beta testing and iteration cycles
- Developed go-to-market strategy
Results & Impact
User Adoption
25+
Presentations created in the first 3 months
Time Efficiency
40%
Average time saved per presentation
User Satisfaction
85%
Users reported improved presentation confidence
Dreamara
A fantasy webtoon reader packaged as a PitchReady-ready concept product.
Dreamara demonstrates how PitchReady can frame, position, and package a fictional digital product with clear story, audience fit, and launch-ready supporting materials.
Key Learnings
🎯 Focus on the Core
Starting with a narrow feature set allowed us to validate the concept before expanding. Users valued simplicity over comprehensive features.
🤝 Collaboration is Key
Close collaboration between product, design, and engineering teams was essential for delivering a cohesive experience.
📊 Data-Driven Decisions
User analytics and feedback loops helped us prioritize features and identify pain points early.
Interested in Collaborating? Let's Talk
I'm always open to new projects and opportunities.