Game Growth Intelligence, powered by AI

Improve KPIs with confidence

Braintelligence combines every relevant data source to uncover visible and hidden friction points, estimate likely KPI impact, and prioritize what to fix next.

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Studios already improving their KPIs with Braintelligence

A 360° VIEW OF YOUR GAME

Where every data point comes together to explain your KPIs

Braintelligence collects, creates, and connects every layer of player data to reveal what drives or hurts your KPIs, then turns those friction points into a clear action plan.

Analytics

KPIs, funnels & cohorts

Playtests

Session recordings

Player Feedback

Surveys & community

Crash & QoE

Technical health

Biometrics

EEG, GSR & HRV

Expert Review

Heuristic analysis

High Impact A-101

Unclear track boundaries create unlearnable crashes

-11%

Engagement

Insight: Frustration spikes cluster around crashes near the outer edges of the racing area, where the drivable space is not visually legible enough. Players misjudge the boundary, collide repeatedly, and finish races feeling punished by poor readability rather than by their own skill. Because the failure does not teach a reliable correction, the pattern feels unlearnable and undermines mastery.

Context: Neuroanalytics Playtesting

Suggestion: Make track limits much more readable through stronger edge contrast, clearer off-road telegraphing, and more visible barrier language so crashes feel fair, teachable, and skill-based.

High ImpactA-102

Random booster outcome works against player intent and quietly reduces joy

-6%

Engagement

Insight: Most boosters increase positive emotion when used, but one random-target booster produces the opposite effect. Instead of helping the player's active goal, it often hits irrelevant tiles, creating a subtle feeling of lost control. Players do not necessarily report this mechanic as a problem afterward, but the biometric pattern shows that it weakens enjoyment at the exact moment the booster is meant to create delight.

NeuroanalyticsPlaytesting

Suggestion: Keep the randomness, but bias it toward player-relevant targets so the booster still feels surprising without working against the user's intention or reducing their sense of mastery.

High ImpactA-103

New mechanics appear before the previous mechanic has been internalized

-9%

Onboarding completion

Insight: The game introduces additional mechanics while players are still learning and stabilizing the previous one. This creates mechanic stacking: activation rises, but flow drops, hesitation increases, and the learning experience becomes cognitively heavier than necessary. Players are often still enjoying the previous mechanic, but the next layer arrives before confidence is built, turning progression into overload.

Expert AnalysisNeuroanalytics

Suggestion: Gate each new mechanic behind demonstrated comfort with the previous one, and introduce complexity one variable at a time so novelty supports mastery instead of interrupting it.

High ImpactA-104

Level 2 churn is linked to an intermittent Null Reference Exception crash

-13%

Early churn

Insight: Analytics shows a clear churn spike in level 2. When this pattern is matched with QoE signals, the most likely cause is not level design or difficulty, but a technical bug: in some sessions, level 2 appears to trigger a crash related to a Null Reference Exception. This means a portion of users are dropping at that point not because of gameplay friction, but because the app is failing during progression.

AnalyticsQoE

Suggestion: Investigate the level 2 flow for the object, event, or transition state producing the Null Reference Exception, identify the gameplay condition under which it occurs, and resolve the crash before evaluating level 2 for balance or design issues.

Medium ImpactA-105

Upgrade menu introduces confusion before players understand what to optimize

-7%

Session length

Insight: Every time users enter the upgrade menu during the first phase of play, confusion signals increase and decision time stretches. The menu asks for too many judgments too early, before players understand the value of each option or how upgrades connect to success. Instead of feeling empowered, users feel interrupted by complexity at the exact point where the game should still be building confidence.

PlaytestingExpert Analysis

Suggestion: Simplify the first upgrade menu to one or two guided choices, defer deeper optimization until later, and explain upgrade outcomes in plain, immediate gameplay language.

Low ImpactA-106

Level 4 is too hard and level 7 too easy, breaking flow from both sides

-2%

D1 Retention

Insight: Comparing flow, activation, and pleasantness across the first 10 levels reveals a two-sided progression problem. In level 4, challenge rises before the player has enough confidence, creating frustration and performance pressure. In level 7, challenge drops too far below the player's established competence, causing boredom and reduced engagement. The result is not one bad level, but a broken flow curve across the early progression arc.

Community pulseNeuroanalytics

Suggestion: Rebalance the progression by softening the difficulty spike in level 4, preserving momentum through clearer mastery steps, and adding a fresh challenge variable to level 7 so the curve stays engaging in both directions.

How it works

From raw data to your
next fixed sprint.

Four steps. No guesswork. A clear, ranked action plan, ready to ship.

Step 01

Connect every data source

Analytics, playtests, feedback, QoE ratings, consolidate everything you already have. No rebuilds, no extra tooling.

Step 02

Every signal, cross-referenced

Our AI cross-references every source to expose what's actually hurting your KPIs, the invisible patterns your dashboards and individual tools will never surface alone.

Step 03

Get your ranked action plan

Every friction point ranked by estimated KPI impact. You see exactly what to fix first, why it matters, and how to change it.

Step 04

Ship. Measure. Repeat.

Improvements are scoped to what you already have. Ship in one sprint, measure the KPI lift on the next release cycle.

MAXIMUM ACCURACY

Want deeper signals? Go boutique.

Standard data sources give you strong AI-powered insight. The boutique layer adds real human bodies and expert eyes, together, they push the AI's accuracy to its absolute ceiling. These two services are designed to work as a pair.

Full-fledge study, deep signals

Boutique

Playtest with Biometrics

Real testers play your game while we record their EEG, heart rate and GSR. We map physiological stress, boredom, and excitement to exact in-game moments.

Uncovers emotional friction no survey or log can capture

Boutique

Expert Review

Senior game analysts audit your title against UX heuristics, retention patterns, and genre benchmarks. They catch what automated data alone misses.

Validates AI findings with human game-design expertise

Together: every signal captured, the highest accuracy Braintelligence can deliver.

Start improving your KPIs today

Your next KPI win is
already in the data.

Join studios already using Braintelligence to uncover friction, prioritize what to fix, and ship improvements with confidence, not guesswork.