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Groupthink

As explained in Demand Forecasting Best Practices

Groupthink is a pattern of group decision-making in which the desire for harmony and conformity suppresses independent evaluation and dissent.

Groupthink occurs when the desire for harmony and consensus suppresses independent judgment. In demand forecasting, it can amplify other biases and weaken the final forecast. section 16.3.1 section 16.4

Reduce groupthink during collaborative forecasting by:

  • Gathering people with different backgrounds, mindsets, and quantitative or qualitative perspectives. section 16.3.1
  • Having each participant develop a forecast independently before sharing it with the group. section 16.3.1
  • Removing social, hierarchical, political, and peer pressure so dissenting predictions feel safe. section 16.3.1
  • Discussing assumptions and demand drivers rather than immediately debating final numbers. section 16.4
  • Using anonymous predictions when meetings still create excessive influence or conformity. section 16.3.1

An independent S&OP forecast

Before a critical S&OP meeting, participants privately record the sales numbers they expect. The group then compares the underlying assumptions, rather than allowing an early opinion or hierarchy to anchor everyone else. section 16.3.1 section 16.4

Figure 16.6 Groupthink illustrated by Jono Hey on his website sketchplanations.com

Use the illustration to recognize how conformity can displace independent judgment in group forecasting. section 16.3.1

How Demand Forecasting Best Practices covers it

How deep it goes
Explains conformity, pressure, and anchoring, then gives procedural safeguards; it stops short of formal psychological analysis.
Examples
Uses independent sales forecasts, anonymous S&OP predictions, diverse teams, and assumption-based demand discussions.
What it assumes
Assumes participation in collaborative demand forecasting and familiarity with forecast discussions.
What you can do after
Practice/perform independent forecasting before group discussion and challenge consensus through explicit assumptions.
How it connects
Connects judgmental forecasting with wisdom of the crowds, anchoring bias, demand planning, and S&OP.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Demand Forecasting Best Practices. The section links point to the parts of the book it draws on.