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Case Study · Real estate

Guessimmo.

guess the price of Paris real estate

A free, addictive game that teaches you to value a property like a pro. Real Paris listings, real sale prices pulled from DVF open data — AI-generated visuals over a real price engine. Twenty arrondissements, one question: tu tiens combien?

Read the brief
01 · The BriefGM·CS

What it is, and the call that made it.

What it is guess the price of Paris real estate

A free, addictive game that teaches you to value a property like a pro. Real Paris listings, real sale prices pulled from DVF open data — AI-generated visuals over a real price engine. Twenty arrondissements, one question: tu tiens combien?

the unobvious call Guessimmo in one move.

DVF publishes every real Paris sale; nobody had made it playable. I built the price engine first, then wrapped it in a guessing game so the feedback loop teaches valuation instead of merely reporting it. Concept, design and build were mine.

02 · The Work3 views

Seven phases. One number.

A round is not one guess. It is seven phases — price, defects, strengths, energy rating, fees, era, then the reveal — and each one moves the number you are committing to. That is the design: valuation is not a single judgement, it is an accumulation of them.

The feed is deliberately social. Listings scroll like a vertical video feed, with likes and a running bankroll, because the format people already scroll is the format that teaches without feeling like homework.

Every price is real. DVF publishes every recorded sale in France; the game is a wrapper that turns that public record into a feedback loop.

Guessimmo landing page — Tu sais guesser les prix de Paris ? / Guessimmo guess screen — a Wagram apartment with two candidate sale prices (1 of 2)
Guessimmo landing page — Tu sais guesser les prix de Paris ? / Guessimmo guess screen — a Wagram apartment with two candidate sale prices (2 of 2)
Landing + Phase 1GM·CS·01
GM·CS·01

The Front Door & The Guess

One question, asked in the local idiom.

The whole proposition in a single screen: real DVF sale prices, twenty arrondissements, free. The three proof points sit under the CTA rather than above it — the question earns the click first. The listing carries exactly what a valuer would work from — arrondissement, type, surface, floor, lift, balcony, view — plus the neighbourhood median per square metre. Then two candidate prices, and no way to move on without picking one.

Use case A player arrives from a share link and starts in one tap.

No account, no onboarding, no tutorial. The headline states the game, the button starts it, and the legal note about AI-generated visuals sits where it belongs — visible, not hidden.

Guessimmo higher-or-lower round with a 2.3x speed multiplier and countdown bar / Guessimmo hidden-costs phase — ten markers allocated across five cost columns (1 of 2)
Guessimmo higher-or-lower round with a 2.3x speed multiplier and countdown bar / Guessimmo hidden-costs phase — ten markers allocated across five cost columns (2 of 2)
Higher or lower + Phase 5GM·CS·02
GM·CS·02

Higher Or Lower & The Hidden Costs

Hesitate and it costs you.

A second mechanic on the same listing: a price is shown, and the only question is whether the real one sat above or below it. A countdown bar runs and a speed multiplier climbs, so answering fast is worth more than answering safe. Ten markers, five columns — notary, agency, works, vendor file, energy survey — and the instruction that ten markers equal one hundred per cent of the hidden cost. The more a line really costs, the more it deserves.

Use case A 182 m² T5 on Monceau, shown at 1 950 000 €.

The multiplier reached 2.3× before the call was made. Speed is scored because a professional valuer does not deliberate for a minute on a property they know — fluency is the point, not arithmetic.

Guessimmo scorecard — real sale price, precision, gap, grade and an itemised cost breakdown
Phase 7 · the reveal and the receiptGM·CS·03
GM·CS·03

The Reveal

Marked, then explained.

The real sale price, the precision percentage, the gap and a letter grade — then the receipt underneath: final price against real net-to-vendor, bonus, bankroll, and every hidden cost itemised down to the diagnostics line.

Use case 55% precision. 467 850 € under. Grade D.

A wrong answer is more instructive than a right one here, because the breakdown shows exactly which assumption was wrong. That is the feedback loop the price engine exists to serve — the game is the interface to it.

03 · The Delivery40 days

Built and shipped.

40 days DURATION
379 commits EFFORT

Sector: Real estate · Role: Concept · Design · Build · Data: DVF open sale prices

Designed, engineered & shipped by Roderic Andrews — Product Designer & Design Engineer

04 · The Pitchhire the operator

Hire me.

Guessimmo is the evidence. Your product is the point.

Everything on this page was designed and built by Roderic Andrews with the client's team. That is the offer: a product designer who writes the code, working inside your team rather than beside it.

Design · Engineering · Marketing · Intelligence · Video · Growth

Book the walkthrough.

Thirty minutes. The build, end to end.

I'll walk you through how it was built — live, with your questions.