Davr Bank:
Core Banking Redesign
for a Top-10 Uzbek Bank

Context

A bank rated below 4.0 with flows nobody finished

Davr Bank had one of the largest mobile banking user bases in Uzbekistan and one of the lowest App Store ratings in the segment. The app worked, technically. Users could transfer money, pay bills, manage cards. They just frequently couldn't figure out how.

The legacy navigation followed an org-chart logic: features grouped by the internal department that owned them, not by user intent. A user trying to send money to another person had to choose between five entry points across three tabs.

Brief: lift completion rates and daily active users without rebuilding the backend. Constraints: feature parity with the existing app, no new APIs, ship in one quarter.

Approach

Mental models first, IA second, visual layer last

The redesign started with user research, not Figma. Interviews and observed sessions revealed a clear pattern: users think in tasks ("send money to mom," "pay rent," "see how much I spent this month"), not in product categories ("transfers," "payments," "analytics").

• Navigation rebuilt around user tasks, not feature categories — primary nav surfaces the four most-used flows directly
• Transfer flow simplified from six steps to three by collapsing recipient/amount/confirmation logic into a single guided sequence
• Onboarding redesigned to defer non-critical steps until the user actually needs them — first transaction unlocks in under 90 seconds
• Visual system updated to match the redesigned IA — typography hierarchy, spacing rhythm, component states cleaned up

Results

Numbers shifted across all measured surfaces

• +31% flow completion rate (transfers and payments combined)
• +24% daily active users in the three months post-launch
• 4.5 App Store rating (up from sub-4.0 baseline)
• Reduced support volume for navigation-related issues

Why It Matters

Bank redesign is mostly an IA problem

Most bank app redesigns get sold as visual refreshes. They look better and behave the same — and the metrics don't move. The Davr work is the opposite case: the visual layer changed, but the actual lift came from rebuilding the information architecture around user intent.

The +31% flow completion is what happens when navigation matches the way users actually think about their money. Visual polish without IA work is a paint job on a broken floor plan.