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Mindset diversity

As explained in Demand Forecasting Best Practices

Mindset diversity is the inclusion of contributors with different backgrounds, perspectives, information sources, and reasoning styles.

Mindset diversity brings people with different backgrounds and perspectives into a forecasting group so they draw on different information. Its value is not simply more participants: distinct inputs can reveal different insights, while differing biases are more likely to offset one another when forecasts are combined. section 16.4 section 16.3.1

Use it for a clear decision: how should a demand forecast be reviewed or edited? Assemble contributors whose perspectives and information differ, but make sure they share the goal of estimating unconstrained future demand rather than advancing a sales target, supply plan, or budget. Diversity cannot correct a bias that everyone has an incentive to introduce. section 16.3.1 section 17.0

Make mindset diversity effective alongside the other conditions for sound group judgment:

  • Align objectives so no participant benefits from skewing the forecast in a particular direction. section 16.3.1
  • Keep work and judgment independent before group discussion, limiting social pressure, anchoring, and groupthink. section 16.4
  • Discuss assumptions and demand drivers rather than defending final forecast numbers. section 16.4
  • Monitor forecast value added to determine whether the team’s review effort improves the forecast enough to justify its time. section 16.4

Reviewing a baseline forecast

Ask several team members to review a baseline demand forecast from different points of view and with diverse sources of information. Have each identify assumptions and likely impacts independently, then compare those assumptions. This preserves distinct insights better than beginning with a shared target number. section 17.0 section 16.4

Figure 16.5 Wisdom of the crowds’ three pillars

The three-pillar view places mindset diversity beside objective alignment and independence of judgment, showing why diversity alone is insufficient for crowd wisdom. section 16.3.1

How Demand Forecasting Best Practices covers it

How deep it goes
Explains the bias-compensation rationale and pairs diversity with objective alignment, independent judgment, and assumption-based discussion.
Examples
Uses team review of a baseline forecast with diverse viewpoints and information sources as the concrete practice.
What it assumes
Distinguishes an unconstrained, unbiased demand forecast from a supply plan, sales target, or budget before collaborative review.
What you can do after
Practice/perform it in demand planning by organizing independent, assumption-focused reviews among contributors with different perspectives.
How it connects
Connects mindset diversity to wisdom of the crowds, objective alignment, independence of judgment, groupthink, and forecast value added.

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.