Create a single KPI tree from executive outcomes → domain drivers → team execution metrics across growth, product, reliability and cost. Align definitions, ownership and cadence, then apply thresholds so variance is reviewed as a decision point—making trade-offs explicit and escalation predictable.
Product and platform organisations often have plenty of metrics—and not enough agreement. Leaders lose time reconciling numbers across functions, while reliability and cost signals arrive late or in the wrong forum. We make performance governable—by aligning KPI definitions, ownership, cadence and thresholds so variance turns into decisions.
Used by leadership teams who need one source of decision truth across product delivery, platform reliability, and commercial performance—especially when priorities churn and metrics conflict across functions.
Inputs
We start with what exists. Exports and summaries are acceptable at first; the priority is decision readiness, not tooling perfection.
What you track today (even if inconsistent). We consolidate this into a single metrics library and identify conflicts early.
Outputs
One agreed library so teams stop debating what a metric means and who owns it.
A mapped hierarchy showing how exec outcomes connect to domain drivers and team-level execution.
A practical driver chain that makes trade-offs explicit (e.g., adoption → retention → NRR; reliability → churn risk; cost drivers → unit economics).
Clear “green/amber/red” bands and triggers that define exceptions and route them to the right forum.
Standard prompts that convert variance into action: driver → implication → decision required → owner → follow-up.
A clean mapping of what belongs in executive operating reviews vs product/platform forums vs team views—so packs don’t sprawl.
Configuration
Configured during implementation to match your governance model, pack structure and decision cadence—without changing your underlying tools.
Choose what you govern (growth, product, reliability, cost) and how deep the tree runs by domain/team.
Confirm scope (product / platform / reliability), current cadence, and where metric debates or missing signals stall decisions.
Define the KPI tree structure, value drivers, ownership model, and the initial threshold set so variance routes to decisions.
Configure the KPI tree, variance prompts and pack mapping in the Workspace—then run the first operating cycle with decision and escalation hygiene.
