COMMUNICATE CAUSE AND EFFECT RELATIONSHIPS
Visualize KPI Relationships.
Pre-built KPI trees from North Star down to leading indicators — with definitions, formulas and cadences. Improve your teams understanding of lead and lag measures.
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Manufacturing OEE & Throughput
L0 · Overall Equipment Effectiveness (OEE)
Decompose Overall Equipment Effectiveness into availability, performance and quality drivers down to the shop floor.
SaaS Net Revenue Retention
L0 · Net Revenue Retention (NRR)
Understand how expansion, contraction and churn combine into NRR — and which usage signals predict them.
Lean Continuous Improvement & Waste
L0 · Cost of Waste Eliminated
Link the cost of poor quality and waste elimination to daily kaizen habits and idea velocity.
Supply Chain Fulfillment
L0 · Perfect Order Rate
Break Perfect Order Rate into on-time, in-full and damage-free delivery drivers across suppliers and warehouses.
Sales Pipeline Velocity
L0 · Pipeline Velocity
See how opportunities, deal size, win rate and cycle length combine into revenue velocity.
Customer Support Efficiency
L0 · Cost per Resolved Ticket
Balance cost per ticket and customer satisfaction through resolution speed and deflection.
EBITDA Margin Driver Tree
L0 · EBITDA Margin
Trace EBITDA margin back to gross margin, operating expense discipline and working drivers.
Employee Retention & Engagement
L0 · Voluntary Turnover Rate
Connect voluntary turnover to engagement, manager quality and time-to-productivity.
Manufacturing SQDC (Safety, Quality, Delivery, Cost)
L0 · Plant SQDC Performance Index
The classic tiered-huddle board: balance safety, quality, delivery and cost with daily leading indicators.
Mining EBITDA
L0 · Mine-Site EBITDA
Drive mine-site EBITDA from ore mined, grade and recovery through to unit cash costs and fleet availability.
Improve NPS / CSAT
L0 · Net Promoter Score (NPS)
Lift Net Promoter Score by fixing the moments that create detractors — from onboarding to support resolution.
From library to execution
A KPI tree on paper is a plan. In KPI Fire it's a system.
Import any tree, assign metric owners, connect data, and launch improvement projects the moment a leading indicator drifts.
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