Unified OS,
Unified OS,
Eskimoz
Eskimoz
SCALE UP, 17M RAISED
ADTECH, DIGITAL MARKETING
Overview
Eskimoz was scaling globally, but our internal tools weren't keeping up. Users were juggling multiple channels through a disjointed interface that made data management feel like a chore. I led an eight-month transition from these fragmented legacy tools into a unified, AI-driven platform. My goal was simple: remove the friction that was slowing down our team and hindering our growth.
Research
I moved away from the big bang release model to protect our engineering bandwidth and keep stakeholders aligned. Instead, I built a staged roadmap that tackled the most painful friction points first:
P 1: Standardising navigation and core data visualisations.
P 2: Consolidating multi-channel insights and automating reports.
P 3: Scaling the logic through a global design system.
Challenges
Merging several distinct marketing tools into one interface wasn’t just a UI task; it was a logic puzzle. I had to reconcile different data structures and reporting rules while making sure the platform stayed accessible for executives but powerful enough for daily power users. We also had to manage complex permission tiers without overcomplicating the user experience.
Key Solutions
I focused on a logic-first architecture to build trust and speed.
→ Replaced disruptive modals with expandable rows to keep users in their flow
→ Introduced a central hub for rapid management of large-scale datasets
→ Designed clear cues to highlight modified data, eliminating guesswork
→ Implemented manual switches for critical actions to prevent accidental errors
Impact
92%
adoption rate, within first quarter of launch
10mins
daily reporting time, slashing the avg of 60mins
15,000+
billable hours secured
2x Gold
Best Platform Optimisation, Cas d'Or
AI Digital Acquisition, Cas d'Or
Unified OS,
Unified OS,
Eskimoz
Eskimoz
SCALE UP, 17M RAISED
ADTECH, DIGITAL MARKETING
Overview
Eskimoz was scaling globally, but our internal tools weren't keeping up. Users were juggling multiple channels through a disjointed interface that made data management feel like a chore. I led an eight-month transition from these fragmented legacy tools into a unified, AI-driven platform. My goal was simple: remove the friction that was slowing down our team and hindering our growth.
Research
I moved away from the big bang release model to protect our engineering bandwidth and keep stakeholders aligned. Instead, I built a staged roadmap that tackled the most painful friction points first:
P 1: Standardising navigation and core data visualisations.
P 2: Consolidating multi-channel insights and automating reports.
P 3: Scaling the logic through a global design system.
Challenges
Merging several distinct marketing tools into one interface wasn’t just a UI task; it was a logic puzzle. I had to reconcile different data structures and reporting rules while making sure the platform stayed accessible for executives but powerful enough for daily power users. We also had to manage complex permission tiers without overcomplicating the user experience.
Key Solutions
I focused on a logic-first architecture to build trust and speed.
→ Replaced disruptive modals with expandable rows to keep users in their flow
→ Introduced a central hub for rapid management of large-scale datasets
→ Designed clear cues to highlight modified data, eliminating guesswork
→ Implemented manual switches for critical actions to prevent accidental errors
Impact
92%
adoption rate, within first quarter of launch
10mins
daily reporting time, slashing the avg of 60mins
15,000+
billable hours secured
2x Gold
Best Platform Optimisation, Cas d'Or
AI Digital Acquisition, Cas d'Or