SaaS Use Cases/Product AnalyticsEngineering Manager

After rolling out the new search feature to 25% of users, has error rate increased by more than 0.5% or p95 latency by more than 200ms?

Monitors the technical impact of feature flag rollouts to catch regressions before full deployment.

Metrics & KPIs

Error rate deltalatency deltaaffected user percentage

Required Data

Feature flag assignmentserror logslatency metrics

Data Sources

Engineering PlatformA/B TestingProduct Analytics

Works with tools like

GitHubJiraLinearPagerDutyDatadogOptimizelyLaunchDarklySplit.ioVWOStatsigMixpanelAmplitudeHeapPendoPostHog

How Bruin answers this

Bruin

Bruin AI Data Analyst

After rolling out the new search feature to 25% of users, has error rate increased by more than 0.5% or p95 latency by more than 200ms?

Bruin connects to your Engineering Platform, A/B Testing, Product Analytics and runs the analysis automatically.

It tracks Error rate delta, latency delta, affected user percentage and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.

Bruin for SaaS

Use cases across every team in your SaaS company, from churn & retention to revenue operations, product analytics to engineering. One AI that speaks your data.

C-Level/ExecutiveCustomer Success ManagerData AnalystDevOps EngineerEngineering ManagerFinance/FP&A AnalystGrowth ManagerMarketing ManagerProduct ManagerRevenue Operations ManagerSales Operations ManagerSupport Manager

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