Use cases

Three questions, answered from data you can check.

Growth, Lifecycle and Customer Success each run on a handful of product signals. Most of the time those signals are right and the number in front of you is the real one. The problem is that you cannot tell the difference from the dashboard, so a number that is correct gets argued about exactly as long as one that is not.

Skene checks the signals against the code on every pull request, so when the number moves you already know whether the recording changed. Usually it did not, and that is the useful part: the answer holds up.

Growth

Did activation fall after the release?

Know whether the drop is real before you redesign an onboarding step.

Lifecycle

What should trigger the next message?

Know which signal a campaign is wired to, and when a release moves it.

Customer Success

Which accounts are quietly stuck?

Trust the usage behind an intervention, including the accounts that dropped off the list.

What it takes to get there.

Connect a repository, a database, or both. Skene maps what your product already records and what it does not, you confirm which moments have to be trusted, and from then on each pull request is checked against that.

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