The Challenge
Every product launch carries risk. New features, UI changes, and backend updates can silently degrade the onboarding funnel — and by the time the issue surfaces in weekly reports, hundreds or thousands of users may have already churned. Teams face:
- Slow verification: Manually checking Looker dashboards during a launch involves navigating multiple views, applying filters, and extracting data — a process that can take 30 minutes or more.
- Delayed detection: Without immediate funnel data, regressions often aren’t spotted until the next scheduled report, long after the damage is done.
- No fast rollback signal: Without factual, real-time conversion comparisons, the decision to roll back a change is based on gut feel rather than data.
- Context switching overhead: Leaving the launch workflow to pull Looker data manually breaks focus and slows response time.
The Autohive Solution
The Google Looker Reporting agent gives teams an instant health check capability during product launches. Rather than navigating dashboards, simply ask for a Week-over-Week funnel comparison — and get factual conversion data in seconds.
On-Demand Funnel Snapshots
The agent executes LookML and SQL queries against your Looker instance immediately, returning structured Week-over-Week funnel conversion data without any dashboard navigation.
Immediate Regression Detection
By comparing current-week conversion rates against the prior week, the agent makes performance regressions immediately visible. If a new feature has broken a funnel step, the data shows it at once.
Factual Rollback Decision Support
When conversion data shows a regression, teams have the factual basis to confidently roll back changes — rather than waiting for mounting user complaints or anecdotal signals.
Benefits
- Seconds, not minutes — Get funnel health checks almost instantly instead of navigating Looker manually
- Launch-time confidence — Verify that new features haven’t degraded onboarding before rollout fully propagates
- Data-driven rollbacks — Make rollback decisions based on factual conversion data, not guesswork
- Reduced blast radius — Catch regressions early to minimize the number of affected users
- No context switching — Query funnel data directly without leaving your launch workflow
How It Works
- Initiate a health check — Ask the agent for Week-over-Week onboarding funnel data at any point during or after a launch
- Agent queries Looker — The agent runs queries directly against your Looker instance and returns structured results
- Review conversion comparisons — See current vs. prior week conversion rates at every funnel stage
- Detect regressions immediately — Any stage showing a significant drop-off is immediately apparent in the data
- Act with confidence — Roll back, patch, or escalate based on factual funnel performance data
Getting Started
- Sign up at app.autohive.com
- Connect Google Looker Reporting from the Autohive marketplace
- Configure your Looker instance credentials
- Run your first on-demand funnel health check during your next product launch
- Set up recurring checks for continuous launch monitoring
