Case study
AI Betting Companion
Turning live odds into advice people can try, trust, and track
SpodaTL;DR
Betting apps hand people odds and leave them to guess what is worth backing. I designed Spoda’s AI Signal, a live-match companion that sets a risk and budget once, recommends bets with the reasoning attached, lets people practise with mock bets before real money, and tracks every bet in one portfolio.
Choose your depth
The problem, my contribution, outcomes, and strongest screens.
My role
Product design · Consumer sports · AI recommendations
Product focus
A live-match betting companion that recommends, explains, practises, and tracks bets.
The Short Version
I designed the AI Signal experience inside Spoda’s live match screen. People set a risk level and betting amount once, then see recommended bets with the reasoning attached. Every bet offers two paths: bet for real on the site with the best odds, or slide to mock bet and follow a pretend stake. Real and mock bets sit together in My Bets and Portfolio, and a market view gives every line a verdict of Good, Fair, Risky, or Avoid.
The Mess
Betting products show odds and stop there. A newcomer cannot tell a fair price from a trap, a cautious user sees the same long shots as a risk-taker, and once someone leaves for a bookmaker’s site the app loses track of the bet. Spoda had to be honest about value, personal to each person’s risk and budget, and safe to try without money, while still keeping a record of real bets placed elsewhere.
My Part in This
- Reduced setup to one screen: a risk gauge, a Low, Medium, or High choice, and a betting amount.
- Designed the bet card so the reason, the stake-to-return, and the best-odds site are visible before any action.
- Created the slide-to-mock interaction, with a confirmation toast and undo, so practising feels as quick as betting.
What Got Better
- Gave every bet a visible reason, a verdict, and a fit with the person’s own risk and budget.
- Let people practise with mock bets and follow real ones in the same portfolio.
- Showed how the same experience could extend to partner apps and brand sponsors without a redesign.
Impact
What Actually Moved
For the Business
Defined a recommend, practise, place, and track loop that connects advice to a person’s real betting activity.
For the Humans
Bettors see why a bet is suggested and how it fits their risk and budget, and can try it with a mock stake first.
For the Spreadsheet
Supports trust and repeat use by keeping real and mock results in one place, without implying a measured revenue result.
Highlights evidence
6 essential screens from the final experience.
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