Ai Powered Predictions Markets For You.
I designed a friendly prediction experience for Aether simplifying onboarding, market discovery, and placing predictions to boost user participation.
Problem
Prediction markets promise better forecasting by aggregating collective intelligence, but in practice they face major adoption barriers:
Markets are hard to understand, especially for non-technical users
Users lack confidence in their predictions due to limited insights and context
Data is fragmented, raw, and not actionable
Complex interfaces create high cognitive load
Low participation results in thin liquidity and inaccurate market signals
Platforms struggle to onboard and retain users beyond early adopters
Business outcome(solution)
Aether helped achieve business goals by:
Summarizing market context, trends, and historical patterns
Highlights key variables influencing outcomes
Translates complex data into plain-language insights
Step-by-step prediction flows instead of overwhelming dashboards
Clear probability ranges and outcome explanations
Confidence indicators to help users understand risk
AI-curated markets based on user interests and behavior
Surface high-signal markets instead of noisy speculation
Clear explanation of how odds are formed
Emphasis on fairness, clarity, and predictability
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