The Challenge
Implementing tracking improvements is only half the job — the other half is proving they work. Data analysts and engineering teams face a critical validation gap:
- Uncertain data integrity: After deploying new tracking code, analysts need structured funnel data from specific time periods to confirm events are being captured correctly — but getting that data manually from Looker is slow and error-prone.
- Downstream risk: Business decisions, product roadmaps, and growth strategies are all built on onboarding funnel data. If the underlying tracking is broken, every downstream conclusion is compromised.
- No structured comparison baseline: Without a reliable, structured query mechanism, comparing pre- and post-implementation funnel data requires manual effort that introduces its own inconsistencies.
- Multiple stage validation burden: Verifying tracking across all onboarding stages — signup, email verification, profile completion, activation — requires querying multiple data points, a process that multiplies the manual effort.
The Autohive Solution
The Google Looker Reporting agent provides a direct, structured query interface to your Looker instance, making data validation fast and reliable. Analysts can query specific time periods and receive structured funnel results that cover every stage of the onboarding process.
Precise Time Period Queries
The agent supports custom time period queries, allowing analysts to compare funnel data from before and after a tracking implementation with exact date ranges — no approximation required.
Multi-Stage Funnel Results
A single agent request returns structured data across all relevant onboarding stages, enabling analysts to validate tracking integrity across the entire funnel rather than spot-checking individual events.
LookML and SQL Query Support
The agent can execute both LookML and raw SQL queries, giving data and engineering teams the flexibility to validate tracking at whatever level of granularity their implementation requires.
Benefits
- Confident validation — Get structured, query-based funnel data that definitively confirms whether tracking changes worked
- Reduced validation time — Run pre/post-implementation comparisons in minutes instead of hours of manual Looker navigation
- Full-funnel coverage — Validate tracking accuracy across every onboarding stage in a single request
- Reliable downstream decisions — Ensure that analytics, product roadmaps, and growth strategies are built on verified data
- Audit trail — Structured query results provide a documented record of data integrity checks
How It Works
- Define your validation window — Specify the time periods before and after your tracking implementation
- Query the agent — Request structured onboarding funnel data for both time periods
- Agent executes Looker queries — LookML and SQL queries retrieve precise funnel metrics from your Looker instance
- Compare structured results — Review event capture rates at each funnel stage before and after implementation
- Confirm or escalate — If data integrity is confirmed, proceed with confidence; if discrepancies appear, escalate with factual data in hand
Getting Started
- Sign up at app.autohive.com
- Connect Google Looker Reporting from the Autohive marketplace
- Configure your Looker instance credentials
- Run your first pre/post-implementation funnel data comparison
- Establish recurring validation checks as part of your engineering deployment process
