GE-McKinsey Nine-Box Matrix

Both place business units on a two-axis grid to guide allocation, but the GE-McKinsey matrix uses composite multifactor indices instead of single proxies. The BCG matrix rates market attractiveness by growth alone and competitive position by relative share alone; the GE-McKinsey matrix builds industry attractiveness from size, growth, profitability, intensity, and more, and business strength from share, cost, brand, and capabilities. It also uses a three-by-three grid with invest, selectivity, and harvest zones rather than four quadrants. The trade-off is richness for added subjectivity in choosing factors and weights.

The analyst selects the factors that determine industry attractiveness and competitive strength, assigns each a weight summing to one, rates each unit, and combines them into composite scores. This is where domain expertise enters — but Hax and Majluf and others stress it is also where bias can enter. Because Wind, Mahajan, and Swire showed that placements can change materially under different models and weights, the factor and weight choices should be made transparently and tested for sensitivity so the conclusions are not artifacts of those choices.

The nine cells group into three zones. The upper-left cells (high attractiveness and high strength) form the invest-and-grow zone, deserving priority resources. The lower-right cells (low attractiveness and low strength) form the harvest-or-divest zone. The cells along the diagonal form a selectivity zone, where the business is mixed and investment should be targeted and justified rather than automatic. Hax and Majluf present these as directional guidance to structure allocation debates, not as mechanical decisions, since the scores behind them carry judgment and uncertainty.