VAOO
// ANALYTICS AND KPIS

Metrics built for decisions, not meeting decoration.

We design KPIs, dashboards, and data layers that connect goals, drivers, guardrails, and actions.

We ground measurement for sales, product, operations, and leadership: definitions, sources, cadence, visualization, alerts, and executive reading.

Design my KPIsView board

Best for

Teams that report a lot but still make decisions with limited clarity.

KPI FLOW

From goal to action

Useful KPIs have drivers and guardrails.

// INSPECTION

Goal

Which decision it supports.

// DEMO INDICATORS

Quick system read

Illustrative data to explain the working model; not historical VAOO outcomes.

1-3

Primary KPIs

DEMO

Few metrics tied to decisions.

Drivers

Diagnosis

DEMO

What explains movement.

Guardrails

Risk

DEMO

Avoid winning badly.

DATA SYSTEM

From raw data to executive reading

The final visualization depends on clean definitions.

// ACTIVE NODE

Data

The final visualization depends on clean definitions.

<VaooSystemMap nodes={6} edges={5} />

// CAPABILITIES

A good metric changes what the team does.

If a chart does not help prioritize, investigate, or correct, it does not belong on the main dashboard.

KPI framework

Goal, primary metric, drivers, guardrails, and cadence.

Dashboards

Simple, comparable, action-oriented visuals.

Semantic layer

Definitions, sources, filters, caveats, and ownership.

Alerts

Thresholds, anomalies, changes, and follow-up.

// METHOD

How we take it into operation

01

Decision first

The question guides the metric, not the other way around.

02

Operable definition

Each metric has a formula, source, owner, and caveat.

03

Honest visualization

We choose charts by comparison need, not empty aesthetics.

// DECISION MATRIX

Outcome

Driver

Guardrail

Outcome / Weekly

Activation

Diagnostic score: 72/100

FAQ

Questions before starting

How many KPIs do you recommend?

Usually 1 to 3 primary KPIs, supported by drivers and guardrails. More metrics do not mean better decisions.

Do I need a data warehouse?

It depends on volume and maturity. We can start with available sources, but we make clear when a data layer becomes necessary.

// CONVERGENCIA

Conversemos sobre tu infraestructura.

Elige el formato que mejor se adapte a tu disponibilidad y comencemos a estructurar tu próxima solución.

[email protected]
Sesión de 15 minQuick intro
Sesión de 60 minDeep dive
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