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Sapphic Savvy Case Study - Building a Data Game That Fights Stigma | AppMakers USA
Grant-funded social game, built ground-up
Sapphic Savvy app iconSapphic Savvy iOS & Android, live

A game that turns stereotypes into real data. We built the whole thing.

Sapphic Savvy is a not-for-profit game where LGBTQ women guess and wager on the real experiences of their community, then see the truth. AppMakers USA designed and built it end to end, on iOS and Android. It looks like a simple quiz. Underneath, it is a serious data engine.

EngagementGround-up build
KindData game + community
PlatformsiOS + Android
Sapphic Savvy home screen showing the weekly quarter countdown and cash prize competition

Built to fight stigma with something better than opinions: data.

Sapphic Savvy came from a not-for-profit team, grant-funded and built with input from lesbian psychologists. The idea is deceptively simple. Each quarter, players guess how the wider community really answered a set of questions, wager points on their guesses, and report their own experiences. Then they see the truth, and the gap between the stereotype and the reality.

It is a game with a purpose: challenge negative stereotypes about lesbian, bisexual, and queer women, surface shared experience, and build community, with real cash prizes for the sharpest players. AppMakers USA designed and built the entire product, on iOS and Android, from sign-up to scoring to the well-being library.

Every account is tied to one verified phone number. When real cash is on the line and the whole point is trustworthy data, that anti-cheating rule is not a nice-to-have. It is the foundation.

Sapphic Savvy sign-up screen explaining that each account must be tied to one verified phone number to prevent cheating

The screens look like a quiz. The real product was the engine that decides what counts as right.

How a round actually plays.

Every round mixes two kinds of questions. Sometimes you answer about yourself and see how the community split. Sometimes you guess a number and meet the truth. You wager points on how sure you are, and it all rolls up toward the cash prize.

1 Compare
Sapphic Savvy compare screen showing how the community split yes or no on a question, with a supporting fact

Answer, then compare

Report your own answer, then see how the whole community actually split, with a fact behind it.

2 Guess
Sapphic Savvy result screen comparing a guess of 85 percent against the truth of 30 percent

Guess, then meet the truth

Guess the real stat for the community, then see your guess against the truth. Over, under, or spot on.

3 Bet
Sapphic Savvy bet screen where the player wagers extra points on their guess

Wager your points

How sure are you? Bet extra points on it. The risk and reward math is real.

4 Score
Sapphic Savvy score screen showing a big win and points added

Bank the points

Win or lose the bet, then carry your score toward the quarter's cash prize.

Screens show the app with illustrative sample data.

Under the hood

It looks like a trivia game. It is a data engine.

The gap between what a player guesses and what is actually true is the whole game. Calculating that truth, fairly, across every combination of who is answering, is where the real engineering lived.

What the player sees

Your guess vs the truth

85%
Guess
30%
Truth
Wrong. You overestimated.

A clean, playful screen. Nothing about it hints at what it takes to produce that one honest number.

What we built

The scoring and evaluation engine

Raw answers stream inthousands of honest responses, per question, per quarter
Aggregate across who is answeringidentity groups and age groups, in any combination
Conditional scoring and edge casesthe part even the client could not fully define up front
Evaluate by:AgeIdentityBoth admin-configurable, added in V2

Where the engineering really went.

The one that mattered most

The hidden logic was the real project

The visible app is straightforward: questions, dials, results. The complexity lived underneath, in the answer-evaluation and result-calculation flows. It only fully surfaced once we mapped real combinations of behavior, scoring paths, and conditional outcomes. Many edge cases were invisible in the wireframe and only appeared once the system behaved like a real product.

So the work changed shape. Requirement clarification became a technical activity, not a planning one. Our dev lead grew into a combined product and engineering lead, because the business rules had to be pinned down in the architecture before implementation could realistically move. The projects with the simplest-looking screens are often the ones that need technical product leadership the earliest.

scoring pathsconditional outcomesrules pinned in architecture
When the model had to bend

From fixed rules to admin-configurable

It launched with three identity groups and five age groups on a fixed evaluation model. Once real players arrived, even in the first couple hundred, the team realized results needed to flex. We rebuilt evaluation so an admin can choose whether to score by age, by identity, or by both, on the fly. That became a funded V2 with real architecture changes.

Testing the invisible

We built tools to test the math

You cannot manually QA a system whose behavior depends on accumulated, conditional data. So we built dedicated tooling to simulate realistic players and large combinations of states, and trained QA on the evaluation logic itself, not just the visible screens. Testing the aggregation became its own engineering track.

Shipping to real devices

The release-engineering gauntlet

Built on React Native + Expo, Node/Express, and MongoDB. Late in Android prep, Google Play started enforcing 16 KB memory-page-size compatibility, which meant real migration work on native dependencies. On iOS, we chased TestFlight-only crashes that never reproduced in the simulator. The screens were the easy part.

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More than a quiz. A whole community platform.

The game is the hook. Around it we built the parts that make Sapphic Savvy a place to keep coming back to: a lie-spotting bonus round, a system where the community shapes future questions, and a well-being library with real support.

Sapphic Savvy Sleuth screen where players identify a lie about featured users for bonus points
Sleuth

Spot the lie about featured players for bonus points. A social detective round.

Sapphic Savvy Shape screen where users vote on questions and submit their own
Shape

Players vote on and submit questions, so the community decides what future quarters ask.

Sapphic Savvy Support library with well-being resources on identity, health, coping, and substance use
Support

A well-being library: identity and stigma, mental and physical health, coping, and more.

Sapphic Savvy Synthesis screen with data commentary articles
Synthesis

Longer data commentary for players who want the story behind the numbers.

Sapphic Savvy quarter points summary combining play points and bonus points
Your quarter score

Play points and bonus points roll into one total as the quarter races toward the prize.

Sapphic Savvy account setup success screen showing points earned
Rewards from tap one

Points start at sign-up, so momentum builds before the first question even loads.

We built it like a product team, not a vendor.

A build with this much hidden logic only works when engineering and product decisions happen in the same room. That is how we ran it, and it is why the client kept coming back.

Product and engineering, together

We stopped splitting product and code into separate lanes. Once architecture limits and business rules were discussed as one conversation, communication with the client got dramatically better.

There for the launches

The team put in real effort outside normal hours to support releases and troubleshoot production issues fast. When a launch is on the line, that responsiveness is the whole difference.

A relationship that kept going

Acting like a shared product team instead of a detached vendor is what turned a hard build into a positive relationship, and into follow-up work with the same client.

"The projects with the simplest-looking screens are the ones that need technical product leadership the earliest. On Sapphic Savvy, the combinational behavior underneath was the real project."

AppMakers USA, dev and product lead on Sapphic Savvy
The outcome

A live product, a funded V2, and a client who came back.

Live on both stores

Sapphic Savvy shipped on the App Store and Google Play and has stayed in active development, with regular updates well over a year after launch.

App Store + Google Play, verified August 2026
The engine held up

The scoring model flexed from fixed rules into admin-configurable evaluation, a real V2 the client funded once the product proved itself with real users.

From the project's PM and engineering record
A returning client

A hard, hidden-logic build ended in a positive relationship and follow-up work, because we ran it like a shared product team.

From the project's PM record
Designed and built by AppMakers USA for Sapphic Savvy app iconSapphic Savvy

Is your app hiding a hard engineering problem behind a simple screen?

That is the work we do best: scoring engines, aggregations, conditional logic, the systems that are harder than they look. We build them right, ship them to both stores, and stay to keep building. The first project estimate is free.

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