Scientific Decision Making

Decision making is at the heart of management. AQA A-Level Business distinguishes between two broad approaches: scientific (data-driven) decision making and intuitive decision making. This lesson explores both approaches, their advantages and limitations, and the circumstances in which each is most appropriate.

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What Is Scientific Decision Making?

Key Definition: Scientific decision making is a systematic, data-driven approach to making business decisions. It involves gathering quantitative data, analysing it using established techniques, and selecting the option that the evidence suggests is optimal.

Scientific decision making follows a structured process:

1. Define the problem or objective — What decision needs to be made?
2. Gather relevant data — Market research, financial data, sales figures, customer feedback
3. Analyse the data — Use techniques such as decision trees, investment appraisal, break-even analysis, ratio analysis
4. Identify and evaluate options — Compare alternatives using the evidence
5. Select the best option — Based on the analysis
6. Implement the decision — Put the chosen option into action
7. Review the outcome — Monitor results and learn from the process

This approach is sometimes called evidence-based management and is closely associated with management science and operations research.

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