SaaS Use Cases/Product AnalyticsProduct Manager

What percentage of users who start building a workflow via natural language description successfully deploy the workflow, versus those using the visual builder?

Compares the effectiveness of natural language and visual workflow building interfaces to optimize the workflow creation experience.

Metrics & KPIs

Deployment rate by builder typetime to deployuser preference trend

Required Data

Builder type selectionworkflow deployment eventsuser identifiers

Data Sources

Product AnalyticsA/B Testing

Works with tools like

MixpanelAmplitudeHeapPendoPostHogOptimizelyLaunchDarklySplit.ioVWOStatsig

How Bruin answers this

Bruin

Bruin AI Data Analyst

What percentage of users who start building a workflow via natural language description successfully deploy the workflow, versus those using the visual builder?

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

It tracks Deployment rate by builder type, time to deploy, user preference trend 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

Get this answer in seconds

Connect your data, ask the question, get the answer. No SQL needed.