“Can we trust this journey?”
- Business questions
- Journey priorities
- Automation goals
Skene sits between Growth, Marketing, Customer Success, and Engineering. It finds gaps in product tracking, catches changes before they corrupt your dashboards, and recommends the next journey improvements.
Start freeFree to start, no card. Ask how Skene works or Read more below ↓
Product updates quietly rename events, remove fields, and change when tracking fires. Important journey steps may never have been measured at all.
Marketing sees a conversion dip. Customer Success sees an adoption gap. Engineering sees a green release. Nobody can tell whether customer behavior changed, or the collection did.
By the time the gap is found, the lost data cannot be recreated. Decisions, campaigns, and automations have already moved on.
The funnel changed because the tracking did.
invited_teammate was renamed in a release on 12 Aug. The step still fires; the funnel reads the old name.
GTM defines the customer journey and the decisions that matter. Skene translates that into a reliable collection plan, checks every product change against it, and gives Engineering precise, reviewable findings.
“Can we trust this journey?”
Translates intent into evidence
“Show us exactly what changed.”
Less back-and-forth. Fewer tracking tickets. One shared definition of reliable product data.
Skene scans the product's existing collection layer and gives your GTM team a clear map of broken, incomplete, and missing signals.
| Event | Change | Found at | Status |
|---|---|---|---|
| signup_completed | removed | handler.ts L88 | missing |
| account_created | renamed | handler.ts L88 | unmapped |
| plan_tier | altered payload | billing.ts L142 | field dropped |
| checkout_started | moved | cart.ts L31 | fires earlier |
| trial_ended | conditional firing | trial.ts L77 | wider audience |
| workspace_opened | unchanged | workspace.ts L12 | ok |
Skene continuously checks product updates against the collection plan. When a signal disappears, changes shape, or stops firing for part of the journey, the team sees it before the dashboard goes quiet.
company_profile_saved missing at components/onboarding/CompanyProfileStep.tsx:89/skene fix only restores tracking calls this PR removed; it cannot add new events.Once the data is trustworthy, Skene looks for the next useful signals and automation opportunities, so Growth and Customer Success can act on how customers move through the product.
And before the next thing ships: describe what you are launching and what you expect it to change, and Skene tells you whether the signals needed to judge it already exist, or whether the plan is still missing the one event you would need.
| Evaluation | Status check | Metric | Confirmed |
|---|---|---|---|
| Activation: first order within seven days of signup | verifying | First-week first-order activation rate | 0 / 10 |
| Flag customers that have gone quiet for thirty days | verifying | Quiet customers resuming orders within thirty days | 0 / 13 |
| Recover an abandoned checkout by email | verifying | Abandoned checkout recovery rate within seven days | 0 / 15 |
Skene meets teams where they are: a free snapshot first, then continuous protection and improvement when the product data becomes business-critical.
In your coding agent
Your agent calls it before it opens the pull request.
POST /api/mcpOn your pull requests
Reviews every PR on the repository you link, and the Action it carries fails the build in CI.
In the cloud
The analysis that keeps a record between runs.
On your machine
The MIT-licensed tool. No Skene account.
skene analyzeSkene keeps the path from product behavior to GTM decision visible, verified, and actionable.
Separate a real behavior change from a collection break before changing onboarding.
Find the missing signal and the moment where automation can help, not annoy.
Trust the journey signals behind intervention and expansion decisions.
Skene works alongside the systems your teams already use. Findings remain specific and reviewable, while the technical surface stays transparent.
Local and CI surfaces run where your engineering team already works. Cloud validation is opt-in.
Skene names the signal, location, and failure instead of handing over another mystery score.
A local Skene OSS run on the command line, release checks, agent feedback, or a cloud API for your own workflows.
Share the metric, journey, or release that is making your team question the data. Teemu's Stand can help you frame the problem and the right starting plan.
Run the first analysis free. Add continuous monitoring yourself, or bring in a Skene expert for an adapted, curated setup.
Product data collection analysis
See the broken, incomplete, and missing signals in your current product journey. No card.
Continuous monitoring
Protect product data on every release and keep finding the next collection and journey improvements.
Adapted to your systems
Bring Skene into a complex stack with expert-curated monitoring and improvement guidance.
Run a free analysis of the product data your GTM team relies on. Find the gaps now, before another release turns them into lost history.
Meetups, coworking days and the occasional hackathon. If you want to argue about tracking in person, these are the places to do it.
17 June 2026
Recurring, most recently 31 March 2026
27 July 2026