Stop flying blind on launches
Did our launch actually move the needle? Stop waiting on the data team, get answers in minutes.
Right now you're probably:
- •Asking the data team to pull post-launch numbers, waiting days for a messy spreadsheet
- •Presenting to the team with "we think it helped"
Trigger insights from the tools you already use
Analysis triggered
"Checkout Redesign" status changed to Launched
The Output
The answer to 'did it work?' — backed by the math
Every launch gets a structured report: what moved, by how much, and whether it's real signal or just noise.
Checkout Redesign Launch Analysis
Generated Feb 6, 2026
Key Findings
Signal 1: Step‑change in daily active users
On Feb 6, 2026, daily active users break from the prior stable levels and establish a new level. Before launch, DAU hovered at a long‑run average of 217,444 users/day. Post-launch, DAU clears the upper limits of 303,792 users/day for over 4 consecutive days. This indicates a special cause variation with a new plateau forming at 295,000–300,000 users/day.
- Peak DAU reaches 342,891, roughly 1.6× the pre‑launch mean
- This pattern persists for 8 consecutive days above the upper limit
- Timing aligns with the checkout redesign launch
This represents a statistically significant improvement where user engagement increased dramatically following the release.
Daily Active Users
It already knows your stack
"How many users were exposed to the feature we just shipped?"
Indexes your data warehouse
Knows what data exists and how to query it
Reads your docs and notes
Gets the full context of your question from the PRDs, launch plans, and metric definitions in your connected apps
Scans your codebase repo
Understands *how* the data is actually generated in the code, not just the numbers
Your team ships constantly.
Now every launch gets measured.
See the analysis your last launch would have produced — with your actual data.
(we'll use your actual data)