MIT Educated, Silicon Valley Tested
USER RESEARCH METHODOLOGIES
PYTHON / PANDAS
IoT CONNECTED DEVICES
HUMAN FACTORS DESIGN
DIGITAL APP WIREFRAMING
TEST PROTOCOL DEVELOPMENT
My process is a data-driven, agile method that prioritizes de-risking the program rather than walking through the gating stages of classic product development. I create value and excite investors and consumers alike by systematically gathering data that validates the product's high-risk unknowns, be it product/market fit, technological capabilities, or manufacturing ramp. My experience has shown that this methodology promotes a holistic mind-frame through product realization, as well as a bias towards proof.
Each question moves through 4 steps
What do and don't we know?
How do we learn more?
Let's build it!
Produce and analyze data.
Key Performance Indicators and Metrics
Interviews + User Evaluations
Kano and Conjoint Studies
Benchtop Technology Evaluations
Interview Prompts and Surveys
Product Feature Prioritization
User Personas and Product Journey
My process maintains a holistic focus on the highest priority elements of the product, whether it be the feature set, cost, or market fit. Thus, your development journey is determined by what kinds of questions need to be validated. Whether your product is a fast follower or an innovative technology, the development strategy will aim to optimize your costs and timeline to market.
Robotic Vacuum Cleaner
Contributions: Technical Product + Program Management: aligned marketing, consumer insight, and hardware+software development teams with a focus on sensor integration and navigation performance
Outcomes: *Amazon Choice* Product
AI-enabled platform built to collect and analyze data around the fastest sport in the world
Contributions: Customer Research, UI/UX Design, Mechanical Design and Engineering, Data Analysis
Outcomes: MASS Challenge FINALIST, Seed funding goals achieved, Beta launch of 500 units
Autonomous wearable defibrillator and companion mobile app to prevent sudden cardiac death
Contributions: Usability research and testing, Form-factor design, UI Design (haptics, audio, visual), Bio-sensor development, Electronics packaging, DFM, DFA
Outcomes: FDA approved clinical studies, 140M Series C (Google Ventures, Third Rock Health)
Surgical toolset and implants to support lower lumbar spinal fusions
Contributions: User Need Research, Risk Analysis, Product Requirements, Human Factors Engineering, Mechanical Design and Engineering, Manufacturing / Assembly, Verification and Validation
Outcomes: Multi-million dollar acquisition by Stryker Spine
IoT device and mobile app to enable pick-up basketball and provide visibility to public park usage
Contributions: Product Vision, Customer Research, Market Analysis, UI Design Language, Mechanical Design and Engineering
Outcomes: Local Community engagement doubled each month over the course of the pilot
There's 9 players at Jose Corenado Playgroud. We need 1 more to run full court. Come down! #Who'sHoopin
A platform for musicians to create and interact with audio effects in novel ways through various sensor inputs (think shaking your hand changes your guitar tone)