Customer journeys that stay in sync with your product
See how users really move from signup to renewal, then fix the stages that matter most.
Skene infers journeys from code and usage, turning them into live maps you can act on, instead of static diagrams you forget after the workshop.
You cannot improve a journey you only ever see in slides
Without a live map of how users move through the product, changes land as guesses. Some help, some hurt, and it is hard to see which is which.
Journey maps live in slides that go stale as soon as the product changes.
Teams debate flows and friction points without a shared, data-backed picture of the journey.
Different functions see only their slice (onboarding, expansion, support) instead of one path.
Local optimization without a journey view creates hidden regressions
You might improve one touchpoint while worsening the path around it, and never see the trade-off because no one is watching the whole journey.
- •Onboarding and lifecycle changes are shipped without understanding how they alter the whole experience.
- •Surface-level metrics look fine while specific stages quietly leak users.
- •High-value personas receive a generic journey that does not reflect how they actually use the product.
Mapping workshops and static diagrams do not drive product change
Workshop-heavy mapping tools capture intent, not behavior.
Event-taxonomy-heavy analytics make it hard for non-analysts to see the journey end to end.
Tools treat "journey" as tags on events rather than as paths through real product capabilities.
Maps are updated in quarterly projects instead of evolving with every deployment.
Live journey maps wired into your PLG infrastructure
Infer journeys from how users actually move through your product, not how you wish they would.
Use codebase structure to understand capabilities and transitions between meaningful states.
Cluster common paths for key personas and segments to see the real funnels and loops.
Feed stage and path information into onboarding, lifecycle automation, and CS systems.
Automated
- •Discovery of common journeys from signup to activation, adoption, and renewal.
- •Identification of bottlenecks and dead-ends along those paths.
- •Segmentation of journeys by persona, plan, or acquisition channel.
- •Generation of journey-aware guidance and prompts that meet users where they are.
Intentionally not automated
- •Replacing strategic segmentation or positioning work.
- •Designing visual storyboards for stakeholder presentations; Skene focuses on the live system.
- •Owning user research; journeys complement but do not replace qualitative insight.
Signals in
- →Sequences of product events tied to user and account context.
- →Code-level information about which features and workflows belong to which parts of the product.
- →Lifecycle stage transitions emitted by Skene or existing systems.
- →Outcome signals such as activation, upgrades, renewals, and churn.
Outputs
- ←Live journey maps that show how users actually move between stages.
- ←Stage- and path-level metrics such as progression rates and dwell time.
- ←Ranked lists of bottlenecks to fix first for a given persona or segment.
- ←Signals and segments that other systems can use to personalize experiences.
A good fit for
- ✓Teams that want to connect onboarding, product, and CS decisions to a single journey view.
- ✓Products with multiple personas or use cases where paths differ meaningfully.
- ✓Leaders who need to prioritize work based on where the journey truly fails today.
Not a good fit for
- ×Very early products where workflows and personas are still undefined.
- ×Situations where only one extremely simple, linear path exists.
- ×Organizations looking only for a static "customer journey" slide, not a live system.