Mobile Gaming Use Cases/Product AnalyticsProduct Manager

Has color blind mode adoption reached above 4% of MAU (matching the ~4.5% population prevalence), and do color blind mode users show retention parity within 3 percentage points of default mode users?

Track color blind mode adoption against population prevalence to assess whether the feature is discoverable and effective for target users

Metrics & KPIs

Adoption rate vs population prevalenceretention paritymode switch frequencydiscovery path

Required Data

Color blind mode toggle eventsMAU dataretention events by modefeature discovery data

Data Sources

TelemetryData Warehouse

Works with tools like

MixpanelAmplitudeGameAnalyticsFirebase AnalyticsdeltaDNASnowflakeBigQueryRedshiftDatabricksClickHouse

How Bruin answers this

Bruin

Bruin AI Data Analyst

Has color blind mode adoption reached above 4% of MAU (matching the ~4.5% population prevalence), and do color blind mode users show retention parity within 3 percentage points of default mode users?

Bruin connects to your Telemetry, Data Warehouse and runs the analysis automatically.

It tracks Adoption rate vs population prevalence, retention parity, mode switch frequency and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.

Bruin for mobile gaming

Use cases across every team in your studio, from monetisation to LiveOps, product to engineering. One AI that speaks your data.

Ads Monetization ManagerC-LevelCRM / Lifecycle ManagerData ScientistEconomy DesignerEngineeringFinance / FP&AGame DesignerLiveOps ManagerPlayer Support / CommunityProduct ManagerQA EngineerUA Manager

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