Post-deployment product analytics
Understanding how customers respond to a new release requires comparing product usage before and after deployment. ShipTale snapshots PostHog trend and funnel metrics at 1-hour and 24-hour intervals, highlighting aggregate shifts alongside release change context. Comparisons reflect time-window associations without storing raw event or user data.
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Instead of manually refreshing analytics dashboards after a deploy, ShipTale automatically calculates before-and-after baselines at 1 hour and 24 hours post-release, saving engineering and product teams hours of manual verification.
Every measurement card explicitly notes that shifts represent time-window comparisons, not proven causation. This ensures data is used responsibly alongside qualitative user feedback.
| Area | Supports | Does not claim or do |
|---|---|---|
| Measurement timing | Automated snapshots at exactly deployedAt + 1 hour and + 24 hours | Arbitrary custom timeframes or real-time streaming |
| Metric types | Single-series Trends (event counts) and Funnel conversion percentages | Cohort retention tables or breakdown dimensions |
| Data privacy | Stores only aggregate numbers; zero PII or user distinct IDs stored | Tracking individual visitor paths or sessions |
Add your personal API key and select up to 3 core saved insights.
Ship code through your Vercel or GitHub release workflow as usual.
Check automated 1h and 24h checkpoints directly within each release story.
These primary sources describe provider capabilities. ShipTale behavior is described separately above.
View setup guidelines and supported insight shapes.
Track revenue and customer changes after releases.
PostHog measurements are included on the Free plan.
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