October 2016 – Current



Product Design
"Product Unicorn"


High Fidelity Mockups
Design Specifications
Design Assets
Personas & Storyboards
Research Findings Presentations
Competitive Analysis
Design Goals
Success Metrics
User Journeys
Product Roadmap


Guided Storytelling
Usability Testing
Think Alouds
Stakeholder Interviews
Heuristic Evaluation
Adobe Photoshop



Due to the proprietary nature of this project, I cannot discuss this project in full detail. If you'd like to hear more, please let me know, and I would love to talk about the process to show my approach.


About Prescriptive Data


With its flagship product Nantum, Prescriptive Data has responded to market demand for a next-generation building management platform that cultivates the full potential of the building operator by combining institutional knowledge with data-driven insights from IoT, big data, and the latest advances in machine learning and artificial intelligence.

Nantum is a true building operating system (OS), that integrates into any facility, BMS-equipped or otherwise, and uses machine-learning to build a memory of building rhythm, so  that it can positively influence, predict, and prescribe tomorrow’s performance.

Nantum’s algorithms continuously improve over time, increasing building efficiency, energy reduction and cost savings, while enhancing tenant comfort and retention. Nantum provides a single-pane-of-glass for all mechanical, operational and utility performance. With Nantum’s familiar look and feel for all buildings, portfolio owners, building managers, and operators finally have a single platform on which to collectively view facility performance with at-a-glance optics into all critical systems.

The Customers' Challenges

Today’s buildings have become siloed, with disparate data sets that are inherently isolated from each other. Every day they collect enormous amounts of data, which is forgotten at the end of the day.

Based on stakeholder interviews, subject matter expert interviews, literature analysis, and contextual inquiries, I identified 3 primary stakeholders in the smart building ecosystem: Ownership & Management, Building Engineers, and Tenants. The following are their respective challenges.

Ownership & management

To reduce daily operation costs without sacrificing tenant comfort and attract and retain top tenants by staying up to date on amenity-based innovations

Building Engineers

To operate the building as efficiently as possibly under unpredictable factors (e.g. weather, sunlight, occupancy, tenants' moods) while minimizing operational breakdowns and maintaining the building equipment.


To minimize operational costs (i.e. rent) and to lease a space best fit for their operations, including attracting and retaining its own talent.

My Contributions

When I was brought onboard, the product was already validated as a viable concept and passed the proof of concept, gauging from the market/sales reaction. As a result, I was tasked to help the product take the next jump by improving the usability of the product and defining a holistic, engaging user experience strategy that will deliver a high user adoption and retention for an "old-school,""blue-collar" building engineer user base.

My strategy during my time at Prescriptive Data has been two folds: attacking low hanging fruits like usability improvements, and more forward-looking product enhancements rooted in user research. Later on, further market feedback and feature requests were to be thrown onto those parallel tracks.

If you'd like to hear more, please let me know, and I'd be happy to chat in person.