Kate Makrigiannis

BACKGROUND
Existing prescriptive drug treatment options for patients with chronic pain can often cause more problems than they solve. Therapy is expensive and can require more effort than patients can expend; plus, scheduled appointments don't treat unplanned flare-ups.

CHALLENGE
How might we deliver effective CBT to patients wherever they may be in relation to their condition?

RESULTS
• Established repeatable lesson program architecture with chapters, daily activities, and reflection.
• Populated a lean content management system with text, audio, and image content.
• Defined pacing goals for patients to consume content, analytics to track actual patient pace, nudging, and gating features to correct patients to the “right pace” for effective treatment.
• Focused on HIPAA compliance and clinical best practices throughout development, including prep for medical device quality audit before the FDA pivotal trial.

USERS
In this case, humans who care about the effort: development teams and business stakeholders, with end users being ticket buyers and sellers,

PROBLEM
Over time, the architecture for a growing ticketing marketplace sprawled and twisted into an unmanageable state—base ticket listing prices are calculated, adjusted, and stored in multiple places with no one source of truth. This can impact customer journeys (seeing one price throughout a buy flow and then another a couple of clicks later), making it tricky to enhance the system with dynamic pricing functionality and, ultimately, negatively impacting the bottom line.

RESULTS
• Reimagined ticketing price architecture using real-life business and customer flows.
• Facilitated event storming for both buy and sell use cases to establish critical domains.
• Mapped a future state to include single-domain data storage and synchronous API calls, along with asynchronous pub/sub messaging for widely consumed state changes.
• Enabled the development team to think critically about future states without getting too bogged down in the complexities of now.

BACKGROUND
To prevent mid-air collisions, certain complicated missions require precise airspace planning to ensure that certain airplanes fly in the right places, at the right altitudes, and at the right times. People who request airspace don't have much visibility into existing airspace libraries and often don't specialize in airspace knowledge, leading to messy and incomplete requests. Airspace managers need an easy way to deconflict airspaces that overlap in location, altitude, and time.

RESULTS
• Conducted 20+ user interviews across multiple air operations centers to understand and map the current processes for mission planning and airspace management.
• Crafted a roadmap to digitize a previously manual, error-prone airspace request process.
• Implemented geospatial map visualization to enhance situational awareness.
• Devised automated system suggestions to manage location, altitude, and time conflicts, significantly decreasing mission planning time and reducing overall airspace conflicts.