01
Earnings, front and centre
Wallet balance, monthly earnings, and earning-potential rating became the first thing on screen — not a row of badges. The first question users had ("am I making money?") got answered before they had to scroll.
lombard
Equilibre × Lombard · BTC liquid staking · 2025
Staking, rebuilt around
user intent.
(Case 02)DeFi · Dashboard redesignscroll ↓
The brief
Lombard had real product–market fit, but a dashboard built outward from launch incentives instead of inward from user intent. Rebuild it around what users actually came for.
- Project
- Lombard staking dashboard
- Surface
- Web app · Dashboard
- Domain
- BTC liquid staking · DeFi
- Role
- Lead Product Designer
- Type
- Redesign
Outcome
+86% staking diversity,+18% total staked volume.
Reorganising the dashboard around earnings, portfolio, and personalised recommendations moved every metric that mattered: engagement, retention, and adoption. The biggest shift was diversity — users confidently exploring new positions because they finally had the context to evaluate them.
+86%
Staking diversity
engagement
+18%
Staking amount
engagement
+71%
Staking duration
retention
+16%
Number of users
adoption
01 · Context
A working product, an interface lagging behind.
Lombard had pulled off something rare in DeFi: real product–market fit. LBTC was minting, TVL was climbing, and the team had built a credible moat around Bitcoin liquid staking. The dashboard, though, hadn't kept up with the product behind it.
The first time I opened it, four different incentive systems competed for attention before I could find my actual wallet balance and portfolio: Lux, Babylon points, badges, referrals. Users were thrown in the deep end — no explanations, no way to filter or sort the (unwanted) opportunities, and no view of what they had already staked or what it was earning.
The hypothesis going in: the dashboard had been built outward from launch incentives rather than inward from user intent. It answered "what is new at Lombard?" before it answered "what's happening with my money?"
02 · The hypothesis
Four assumptionsto test against.
Before any data, four hypotheses framed what the redesign needed to prove — each one a bet about what the dashboard had been hiding.
Assumption A
Earnings above the fold
APY and earnings belong above the fold, not buried below opportunity tables.
Assumption B
Debonding is decisive
The unstaking window is a top-three decision factor, yet it was nowhere on screen.
Assumption C
Asset insights, one click
Network, contract, history — none of it should require a five-tab expedition.
Assumption D
Dashboard adapts to user
First-time visitors and seasoned stakers do not need the same view.
03 · Research
Triangulate, then let it write itself.
Three sources, one finding. Competitive teardowns of Lorenzo and Bedrock showed both were doing one thing Lombard wasn't: orienting users — explaining points systems and recommending specific opportunities based on holdings.
On-chain data from Nansen reframed the audience. The top LBTC segments over six months were Heavy DEX Traders, Token Millionaires, and DEX Traders — sophisticated, fee-sensitive, comparing across protocols. Not the audience you delight with badges.
User interviews said the same thing in different vocabularies: missing APY, missing risk classification, missing debonding periods, missing guidance. Three sources, one brief — clarity over gamification.
04 · Design priorities
Three named decisions, ordered by what users came for.
02
Recommendations, not a directory
The opportunity table was reframed as "Your recommendations" — three personalised options, sortable, with a clear secondary path to view all. The shift from "here is everything" to "here is what fits you" did most of the heavy lifting on engagement.
03
The data that drives decisions
APY, performance trend, debonding period, multiplier, and Lux per row. Filterable. Sortable. Verifiable. The columns Heavy DEX Traders and Token Millionaires actually wanted — not a curated wall.
05 · What moved
Clarity compounded. Across every layer.
Badges, points, and referrals didn't disappear. They moved lower down the dashboard and surfaced contextually — where they had earned the user's attention, not demanded it.
The biggest movement was diversity: users staking across more opportunities. That is the metric I cared about most. It says people weren't just doing more of what they already understood — they were confidently exploring new positions because the dashboard finally gave them the context to evaluate them.
The outcome
Users didn't have to learn a new dashboard.They finally had one that learned them.
Reorganising the surface around earnings, recommendations, and decision-grade data moved every metric that mattered — and shifted behaviour, not just clicks.
Engagement, retention, and adoption all moved together: staking diversity +86%, staking amount +18%, staking duration +71%, user count +16%.
01 · Staking diversityEngagement
+86%
Users staked across more opportunities — exploring new positions with the context to evaluate them.
02 · Staking amountEngagement
+18%
Total staked volume rose as earnings and portfolio took priority over incentive noise.
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