Performance • Driver Sensitivity

KPI Tree & Driver Sensitivity

Identify what drives profit and runway, then rank the highest-impact levers.

KPI Tree Tornado Top Drivers Runway

📂 Data needed for this module

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P&L / Income Statement

Revenue, COGS & OpEx → root KPI inputs for the tree

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Customer & Volume Metrics

Active customers, orders, units → volume nodes in the KPI tree

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Pricing Data

ASP, discount rates & mix → price nodes & sensitivity range

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Cost Driver Detail

Variable vs fixed cost split → identifies which costs are lever-able

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Cash & Runway Data

Current cash balance & burn → ties KPI levers to survival runway

Decision

Load sample data or adjust assumptions to see the decision.

Board View

Runway

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months

EBITDA / Mo

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earnings before interest/tax

Gross Margin

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% after COGS

Revenue / Mo

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price × volume

LTV/CAC

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unit economics ratio

Top Driver

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highest runway impact

Load data to see summary.

⚠ RISKS & WATCHOUTS

🔧 RECOMMENDED ACTIONS

Rank	Driver	Base Value	+5% → EBITDA Change	+5% → Runway Change	−5% → EBITDA Change	−5% → Runway Change