Prove what worked.
Every play your team ships is a bet, and almost none get graded. Skene builds the evidence a bet needs, protects it on every release, and reads the verdict from your own database.
Free to start, sign in required, no card.
The same journey step, as GTM and Engineering see it.
GTM reads the journey step and the number it feeds. Engineering reads the call site and the pull request that would have broken it, and both are looking at one record.
Evidence
What the step feeds: the metric it moves, and the flow it sits in.
Journey step
Upgrade started
Flows
How users actually move, captured by one script tag.
Know whether you can measure it, before you ship it.
Skene names a missing signal early enough to add it, then checks after launch whether the number actually moved.
Activation: first project within seven days of signup
Draft reviewed. Gathering evidence from code and arriving events.
- Plan
- Verify
- Launch ready
- Check
Audit the gaps. Protect the signal. Improve the journey.
Three jobs, one feedback loop. Free tier: one audit, no card.
See what you measure, and what you don’t.
Skene reads your repository and your database schema, then lists every event you collect and every step with nothing behind it.
- Inventories the signals you already collect
- Flags the events a release removed, renamed or moved, and the fields it dropped
- Prioritizes fixes by the journeys and decisions they affect
| Event | Change | Status |
|---|---|---|
| signup_completed | removed | missing |
| account_created | renamed | unmapped |
| upgrade_started | moved | fires earlier |
| workspace_opened | unchanged | ok |
Keep every release measurable.
Skene checks each release against the collection plan and flags the break before the chart goes flat.
- Catches removed, renamed, moved, and altered signals
- Surfaces the release-workflow failure that caused them
- Keeps campaign and cohort data comparable
upgrade_started fires earlier at billing.ts:31Improve the journey, not just the tracking.
Once the data is trustworthy, Skene surfaces the next signals and automation opportunities for Growth and Customer Success.
- Recommends signals that close decision-making blind spots
- Says whether a plan is ready to launch, before it launches
- Runs the success formula against real data afterwards, and keeps the history
| Evaluation | Metric | Confirmed |
|---|---|---|
| Activation: first project within 7 days | First-week rate | 0 / 10 |
| Dormant accounts resuming usage | 30-day resume rate | 0 / 13 |
| Convert an expiring trial | 7-day conversion rate | 0 / 15 |
GTM gets clarity. Engineering keeps control.
Product data your GTM team can trust. Skene doesn't replace your analytics. It protects the collection layer feeding PostHog, Mixpanel and the rest. It doesn't store, model or visualize your event data.
Your systems remain the source of truth
Local and CI surfaces run where your engineering team already works. Cloud validation is opt-in.
Every finding is reviewable
Skene names the event, the file and the line. It requests changes on a pull request that removes or breaks an event the collection plan needs. A release fails when a table the plan needs is missing from your database. A table that is there with no sample is reported and blocks nothing.
One engine, four ways to connect
A local Skene OSS run on the command line, release checks, agent feedback, or a cloud API for your own workflows.
One engine, four ways in, one rule everywhere.
MCP server, GitHub App, Cloud API, and the command line. The rule is the same on every surface: findings arrive as comments, never as changes.
Common questions
These are some of the questions people ask before they sign in.
Stop debating whether behavior changed, or the tracking did.
Run a free analysis of the product data your GTM team relies on, before another release turns a gap into lost history.