Structure your metrics.
Drive your business
Trace operationalizes metric trees on top of your cloud data platform — taking you from scattered metrics to causal clarity in 3 steps.
Trees
Operate
Modeling the business inputs and outputs via metric trees, Trace streamlines strategic and operational analytics for data consumers
Sources
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Modules
Sources
Modeling the business inputs and outputs via metric trees, Trace accelerates the manual, ad-hoc analysis workflows between data and business teams
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Design
Metric Trees
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Map
the Metrics
Run Your Business on Metrics
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Questions we get a lot
A metric tree is a computable model of how your business metrics connect. Unlike dashboards — which show metrics in isolation — a metric tree defines the relationships between them, making analysis automatable and insight repeatable.
Start with a key outcome metric you care about — like revenue — and break it down layer by layer into the inputs that drive it.
For example: Revenue → Orders → Items per Order → Price per Item; and each of those can be segmented, such as new vs. existing customers or channel. This is a metric tree: a structure that connects outcomes to the inputs behind them.
Data investment has compounded. Dashboard counts have multiplied. But analyst headcount hasn’t kept pace — and neither have insights. Metric trees give your data a model, not just more charts, so analysis flows automatically to the people who need it.
Data teams reclaim time from repetitive ad-hoc requests. Business teams get answers without waiting. Executives get a shared, coherent model of performance — and the confidence to act on it.
• Alignment on what drives performance
• Automation of repetitive analysis work
• Accessibility of insights across teams
Works with your current stack
Trace layers on top of your existing cloud data platform and BI tools. No migration. No disruption. Just a computable model on top of what you already have.
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