Scaling a multi-platform map product for the world's most complex environments.
Company
Living Map, UK
Sector
B2B2C SaaS, Geospatial Tech
Year
2020 — 2025
Role
Principal Designer
Expertise
Multi-platform Product Design Product Strategy UX/UI Design User Research Cross-functional Leadership
Overview
I owned the design and evolution of Living Map’s B2B2C mapping platform and ecosystem, continuously optimising the information architecture and transitioning the company away from bespoke client builds to a repeatable, scaleable system. I managed the systematic transformation of the platform without stalling the business, successfully scaling the core product into a consistent, highly intuitive wayfinding experience across the entire client portfolio.
Impact
This strategic pivot shifted the company from an agency model to a scalable enterprise SaaS platform, compressing client deployment times from weeks down to days. By establishing deep alignment between engineering and design, I moved the organisation away from reactive, project-based delivery toward a proactive, system-driven mindset, building the scalable infrastructure the business needed to expand globally.
A complete graphic system was developed, typography supporting 12+ languages globally, a comprehensive set of standard icons was drawn for use at small sizes, and a templated global stylesheet system supports deep, rapid map branding.
Rich, detailed POI profiles give users everything they need to know at a glance.
Deep metadata structures power instant, efficient search results.
Seamless, turn-by-turn indoor routing.
Live transit updates integrated directly into the venue map for smarter travel planning.
Integrated 360-degree imagery provides users with real-world visual confirmation to help them effortlessly orient themselves within the venue.
Additional revenue channels were enabled with geofencing, displaying non-intrusive advertisements to users within pre-determined areas of the venue.
Addressing the unreliability of indoor and vertical navigation in venues without dedicated hardware, this AI-powered location system bypasses traditional phone sensors and beacons. By matching a user's real-time view against a curated image database, the system accurately determines their specific floor and location in a fraction of a second.
