rational.business

Evidence-Based Business Thinking

Data-driven decisions. Structured reasoning. Measurable outcomes.

EXECUTIVE BRIEFING
01

Decision Framework

  1. Define the decision clearly and its scope
  2. Identify available data sources and their reliability
  3. Map assumptions vs. verified facts
  4. Model outcome distributions, not point estimates
  5. Establish pre-mortems before committing resources
FW-001
02

Core Principles

  1. Data quality precedes data quantity
  2. Correlation analysis must precede causal claims
  3. Incentive structures distort information flows
  4. Small, reversible experiments reduce strategic risk
  5. Decisions degrade without feedback loop design
PR-001
03

Performance Metrics

0 % Decision accuracy lift
0 x Faster cycle time
0 % Reduced rework costs
0 % Stakeholder alignment
MT-001
04

Applications

  1. Strategic planning and resource allocation
  2. Market entry and competitive positioning
  3. Operational efficiency and process redesign
  4. Talent acquisition and organizational design
  5. Product development and launch sequencing
AP-001
METHODOLOGY
I
Observe Collect structured data from primary and secondary sources without pre-filtering
II
Model Build explicit causal models that can be tested, refined, or falsified
III
Test Design controlled experiments with clear success criteria before execution
IV
Decide Commit resources based on evidence thresholds, not confidence or narrative