Aishwarya UX

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Overview

Content

Prototype

Designing Datamuni.ai: Turning Data into Knowledge

Source of truth for public, media, community intelligence

Overview:

What if every citizen, organization, and journalist could access truth at their fingertips? Datamuni.ai was our attempt to build that future.

My Role: Led End-to-end UX Design
Keywords: AI Conversational UX, Information Architecture, Data Visualization, Design System Creation, Cross-functional Collaboration, Responsive Web
Domain: Data and Information Design, Sports Tech, B2C/B2B,

Company

Probo - Datamuni

Company

Probo - Datamuni

Company

Probo - Datamuni

Type

Web / Mobile App / Light and Dark Theme / B2C

Type

Web / Mobile App / Light and Dark Theme / B2C

Type

Web / Mobile App / Light and Dark Theme / B2C

Date

Jan, 2025

Date

Jan, 2025

Date

Jan, 2025

📝 Context

Datamuni.ai was conceived as an Information Market under Probo, designed to simplify complex data for everyday users. The immediate goal was to launch an MVP in 30 days while laying the foundation for a product that could scale across categories:

Cricket – Probo’s biggest user base as they traded the most during matches, where fans track scores, probabilities, and outcomes in real-time.

Economy – Economic data like GDP, inflation, currency movements, and government policy that impact markets.
Stocks – Financial markets where users need actionable, trustworthy AI-driven signals.

The Challenge:
To design a product experience that could earn user trust across these diverse domains while staying consistent and scalable.

❓ Why the World Needs a Source of Truth

The information we consume today is fragmented and noisy. Articles float without evidence. Data exists without context. People are left confused rather than informed.

We asked:
How can we create a single, trusted interface that unites stories, data, and insights into knowledge?

⚠️ Envisioning Datamuni.ai

💡

A knowledge system combining public, media, and community data

🏪

An information marketplace where stories are enriched with facts

🤖

A transparent ecosystem where AI helps guide discovery with relevant insights

🔍 Research & Insights

We started by asking a simple question: “How do people actually find and trust information today?”

Very quickly, we realized that the problem wasn’t a lack of information, it was the opposite. Journalists told us they were drowning in contradictory sources. Everyday citizens said they didn’t know which numbers to believe. Even data analysts admitted that raw datasets were too technical to use without heavy preprocessing.

One line stuck with us from an interview:

“It’s not that I can’t find information… it’s that I can’t trust or make sense of it fast enough.”

To dig deeper, we mapped the existing landscape. News apps gave speed, but little depth. Dashboards gave numbers, but no story. Forums gave opinions, but no credibility. Nowhere did these pieces come together.

Category Wise Summary

Cricket: Users loved probabilities but didn’t trust AI numbers without context. “Why is this batsman’s chance to score 50 suddenly dropping?”
Economy: Users were curious about big headlines (like inflation or budget announcements) but felt AI insights were too abstract. They wanted simple cause-effect storytelling.
Stocks: Traders wanted precision. Blind “buy/sell” signals felt risky unless backed with data points.

Core Insight: Across all domains, users rejected “black box” AI. They wanted explanations, transparency, and storytelling.

💫 Designing for Clarity and Trust

Discover Page: Where stories meet data

Instead of passive reading, users explore interactive articles supported by live widgets, transforming data into narratives.

Cricket Category: India’s favourite testbed

We built a one-stop hub for cricket, live matches, player stats, and trends. This gave us the perfect pilot audience.

Fans engaged more deeply, not just seeing numbers but understanding why probabilities shifted.

Ask Datamuni: AI that shows its work

This assistant gave answers backed by visual widgets and datasets, keeping users engaged and confident.

What’s next (designed, not yet built):

Finance Hub → Simplifying markets for everyday investors.
Economy Dashboard → A glanceable view of “How is India doing?”

💻 Behind the Design

Iterations & Dead Ends

Early versions overloaded users with raw data → feedback pushed us toward contextual widgets.

Design System

We created modular data cards (widgets) → reusable across categories (cricket, finance, economy).

Key UX Decisions

Onboarding: Simplified to 3 steps, tailored per category → faster adoption.
Explainable AI: Always show why an insight appears.
Narrative UX: Progressive disclosure → first show the outcome, then explain factors.
Design System: Built modular components (cards, graphs, tooltips) to work across cricket, economy, and stocks.

🧩 Impact of Early Prototypes

Cricket MVP tested with 100+ users → 85% preferred it to existing score apps.

AI works best as a guide. Users valued “show your sources” over black-box answers.

Start narrow, scale wide. Nailing cricket helped us imagine finance and economy with confidence.

What I Learnt

This project proved that designing for trust and not just usability is the real unlock in data-driven organizations. Balancing diverse personas taught me to avoid “cool UI” traps and instead build harmonious bridges between governance and discovery.

🔄 What I’d Improve

Personalization: Tailor insights for different user types (casual cricket fans vs traders vs economy followers).
Retention Loops: Build beyond 30-day retention with habit-forming notifications and contextual nudges.
Mobile-First Design: Optimize for snackable, real-time updates on cricket and stocks, since most users are mobile-first.