Inna Drozd
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Live Bid Dashboard
Industry: FinTech
Role: Product Designer
Overview
This case focuses on designing a real-time bidding dashboard for a multi-dealer CLO auction.
The goal was to structure dense, rapidly updating data, clarify auction and bid states, and support fast, confident decision-making under time pressure.
Problem
- Bids were not updated in real time, forcing manual refreshes and increasing the risk of missed or late bidding decisions during active auctions.
- Data latency and unclear bid status reduced confidence in last-minute actions, especially under time pressure.
- The existing layout made it difficult to quickly scan bid performance across margins, dealers, and classes in live conditions.
Process
Research
- Studied how users monitor bids and make decisions during live auctions, with focus on peak activity and time-critical moments.
- Identified which data points must stay visible under pressure to support fast, confident decisions.
Key Insights
Bids need to be grouped by margin and dealer to quickly assess competitiveness and allocation outcomes.
Key values must remain visible across all nesting levels to enable fast scanning without expanding rows.
Auction status and remaining time must be immediately clear, especially near close or after bidding ends.
Solution
Flow: Grouped by margin (Admin view).
- Bids are grouped by class → margin → dealer to enable fast comparison and allocation decisions during live auctions.
- New and updated bids are highlighted, while rejected bids can be hidden to reduce noise and keep focus on winning margins.
Flow: Grouped by dealer (Admin view).
- Dealer-based grouping shows participation and performance across all margins for a single counterparty.
- Auction status and remaining time are always visible, with consistent filtering preserved across views.
Flow: Trader view.
- Traders see only their own bids during active auctions, reducing information overload and distraction.
- Bids are placed and adjusted from a side panel, with separate All Bids / My Bids views supporting both awareness and focused execution.
Impact
Real-time bid streaming eliminated manual page refreshes, reduced data latency, and increased confident last-minute bidding, while cutting support load.
DATA FRESHNESS
1.5 s
Before: 20 s → After: 1.5 s
-93%
PAGE REFRESHES
1
Before: 9 → After: 1
-89%
LAST-MINUTE BIDS
66%
Before: 48% → After: 66%
+18 pp
Support tickets
6
Before: 14 → After: 6
-57%
Before: 90-day pre-release auction windows; After: first 90 days post-release; overlapping auctions excluded. Medians; normalized/anonymized.
Business meaning
- Live updates eliminate stale prices, enabling faster reactions and higher trust during active auctions.
- Reduced manual refreshes improve focus and execution during multi-lot bidding.
- Increased last-minute activity drives healthier competition, better price discovery, and fewer support tickets.