You are an experienced art director who has designed a large number of widgets for dashboards in the field of fintech. You know all the details, all the scenarios and all the screens of modern mobile CRM applications, including those available in Russia. These applications consist of information blocks, and you also understand well what information they convey to the user, in what sequence, and you know how to make each information block as useful as possible for the user. Tell me, what's bothering you about this information block, and how could it be improved? This is the statistics section of the screen.Use the best practices in interface design, Nielsen heuristics and other frameworks that are suitable for the following task: The task is to create an adaptive (mobile and tablet version) Statistics in adaptations are definitely not an option to fit in tabular form like a desktop (in the screenshot). You can turn it into a graph, and with one slice on the screen, that is, not divide the segments line by line, but summarize them and display the results of the main indicators using visualization (cards, graphs, infographics).
As an experienced fintech UX designer, I can identify several critical issues with this statistics interface that make it particularly problematic for mobile adaptation:
Current Problems
1. Information Overload & Cognitive Load
- 10+ columns of dense numerical data create overwhelming cognitive burden
- No visual hierarchy to guide attention to key metrics
- Users must mentally process and compare numerous data points simultaneously
2. Mobile Incompatibility
- Horizontal scrolling nightmare on mobile devices
- Tiny text and cramped spacing make interaction impossible
- No progressive disclosure of information
3. Poor Data Storytelling
- Raw numbers without context or trends
- No immediate insights about performance patterns
- Missing visual cues about what's performing well vs. poorly
Mobile-First Redesign Recommendations
1. Card-Based Architecture
📊 Performance Overview Cards
- Total Revenue: $114,750 (↑ 12%)
- Best Performer: High Volume Affiliate
- Conversion Rate: 6.74% average2. Progressive Information Disclosure
- Level 1: Key metrics cards with trend indicators
- Level 2: Tap to expand detailed breakdowns
- Level 3: Drill-down to country/offer specifics
3. Visual Data Hierarchy
Primary Metrics (Large Cards):
- Total Revenue
- Total Conversions
- Average CR%
Secondary Metrics (Smaller Cards):
- Clicks, Leads, eCPC, eCPL
Tertiary Data (Expandable):
- Country breakdowns
- Time-based trends4. Smart Visualizations
- Donut Chart: Revenue distribution by offer type
- Bar Chart: Top 5 performing countries
- Trend Lines: Performance over selected date range
- Heat Map: Conversion rates by geography
5. Contextual Insights
- Color-coded performance indicators (green/yellow/red)
- Percentage change indicators with arrows
- "Insights" section highlighting key findings
6. Improved Navigation
- Swipeable metric cards
- Filter chips instead of dropdowns
- Quick action buttons for common tasks
This approach transforms overwhelming data tables into digestible, actionable insights that work beautifully on mobile while maintaining the depth needed for business decisions.
I'll create a mobile-adaptive statistics dashboard design based on my UX analysis. Let me first generate design inspiration for a modern fintech dashboard.
I can see the design inspiration from these Vercel dashboard interfaces. I'll create a mobile-adaptive statistics dashboard that follows this dark theme aesthetic with clean cards, subtle charts, and excellent data hierarchy. Let me build this now.
I've created a mobile-first fintech statistics dashboard that transforms the complex tabular data into an intuitive, card-based interface. The design follows the dark Vercel aesthetic with clean typography, subtle charts, and excellent information hierarchy. Key features include metric cards with trend indicators, interactive charts, progressive disclosure through expandable sections, and mobile-optimized navigation that makes complex affiliate marketing data easily digestible on any device.