Mitul Gajera pfp
Mitul Gajera
@mitulgajera
Designing a data protocol is like building a lighthouse. it has to shine clarity, even in the fog of complexity. Here’s how I helped @truflation turn 30M+ data points into something people actually use and become the go-to for real-time inflation data.
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Mitul Gajera pfp
Mitul Gajera
@mitulgajera
The backstory: @balajis.eth believed traditional inflation metrics like CPI are outdated with limited sample sizes, No transparency, and potentially manipulated. This left investors, businesses, and individuals making blind decisions in real-time markets. He launched a challenge for a decentralized, transparent inflation dashboard and Truflation won by delivering an MVP version of on-chain inflation data using @chainlinklabs But innovation alone wasn’t enough. Users couldn’t use it because of poor design decisions.
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Mitul Gajera pfp
Mitul Gajera
@mitulgajera
The protocol was solid: - Processing 18 million to 30 million data points - Over 80 licensed data sources - Daily updates and on-chain transparency But the product struggled with: - Overwhelming density of data - Lacked context with poorly layout hierarchy of page which led to critical information being missed - Mobile users struggled with navigation - There was confusion about how inflation figures were calculated - 40% bounce rate - < 30-second average session time
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Mitul Gajera pfp
Mitul Gajera
@mitulgajera
I needed to turn raw data into clarity because making complex data useful isn’t about charts, it’s about helping people trust what they see. So we started with research: - Competitive audits (Bloomberg, TradingView, CPI sites), - Interviews with analysts, DeFi traders - Mobile/Desktop usage analysis - Data usability tests
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Mitul Gajera pfp
Mitul Gajera
@mitulgajera
I redesigned Truflation to guide, not just to display data: 🔍 Introduced a high-level summary upfront comparing daily inflation rates with government CPI.
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Mitul Gajera pfp
Mitul Gajera
@mitulgajera
The hardest part of designing for Truflation wasn’t visual polish. It was a cognitive load. 12+ inflation categories, daily updates, comparison toggles... People could see data. But not make decisions. So I designed a system: - Designed granular breakdowns and progressive disclosure to show data in dept per category (e.g., food, housing, transportation) without overwhelming on upfront. - Color-coded inflation categories for instant scanning. - A shared design language across every chart. - Dynamic charts that let users compare timeframes, subcategories, and trends. - Responsive components for widgets, calculators, and future tools. - Contrast + spacing tuned for better readability on all screen sizes It made Truflation feel less like a spreadsheet, and more like a decision tool. And most importantly, it gave us a system we could build on across data of different countries, currencies, and use cases.
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Mitul Gajera pfp
Mitul Gajera
@mitulgajera
Developed interactive charts for historical trend analysis.
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Mitul Gajera pfp
Mitul Gajera
@mitulgajera
Enhanced mobile responsiveness and component consistency.
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Mitul Gajera pfp
Mitul Gajera
@mitulgajera
We extended the product offering to drive awareness and growth: Truflation Widget: Embeddable CPI vs Truflation data snapshot which went viral on Twitter, used by analysts and founders which drove brand awareness & new partnerships.
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Mitul Gajera pfp
Mitul Gajera
@mitulgajera
Inflation Calculator: Users input their expenses based on individual spending patterns to see personal real-time inflation impact used across the US, UK, India, and Argentina.
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