Method guide · Portfolio

Directional Policy Matrix: combine market attractiveness and competitive strength

Build market-attractiveness and competitive-strength axes from weighted factors, then interpret the position without imposing universal thresholds.

Key points

What to remember

  1. 01

    Define comparable units before selecting factors.

  2. 02

    Declare the scale and weights used on each axis.

  3. 03

    Test sensitivity to factors and weights.

  4. 04

    Treat policy zones as hypotheses, not orders.

01

Define both axes and their scope

Attractiveness describes the market or segment through growth, accessible margin, barriers, stability or competitive intensity. Competitive strength describes the organisation through share, commercial access, differentiation, capabilities or relative costs.

Use comparable units, a common period and stable factor definitions before weighting.

02

Calculate reproducible scores

Assign weights that total 100% and score every factor on a declared scale. The axis score is the sum of weight × score. Reverse inverse factors before aggregation.

Illustrative 0-to-100 example: attractiveness combines growth 40% × 80, margin 35% × 60 and barriers 25% × 40, giving 63. Strength combines share 35% × 70, distribution 35% × 80 and offer 30% × 60, giving 70.5.

AxisFactorsWeightsScoresResult
AttractivenessGrowth · margin · barriers40 · 35 · 25%80 · 60 · 4063.0
StrengthShare · distribution · offer35 · 35 · 30%70 · 80 · 6070.5
03

Worked example: three businesses and a weighting test

Illustrative example on a 0-to-100 scale. Business A uses the scores calculated above; B and C are fictitious. B’s attractiveness scores are 90, 70 and 60; C’s are 40, 55 and 50.

Moving 10 weight points from growth to barriers (30 · 35 · 35%) costs A 4 points and gives C 1: the gap between them narrows from 15.25 to 10.25 points. The ranking holds, but the distance that would justify different policies shrinks. That distance, not the position alone, is what needs discussing.

BusinessAttractiveness 40 · 35 · 25%Attractiveness 30 · 35 · 35%Strength
A63.059.070.5
B75.572.545.0
C47.7548.7558.0
04

Interpret without inventing boundaries

The point locates a business within the chosen reference. Policy zones depend on the model, scale and explicitly adopted thresholds. Without governed thresholds, retain the coordinates and discuss directions without assigning an automatic zone.

Sensitivity testing shows which factors actually move the diagnosis.

05

Connect the matrix to a portfolio decision

In the proposed journey, Grid structures the DPM and Atlas retains the decision file. Factors, weights and direction remain validated by accountable people; the matrix does not issue a recommendation on its own.

Record the proposed direction, resources, trade-offs, evidence still required and the signal that will reopen the decision.

FAQ

Frequently asked questions

Is DPM the same as GE-McKinsey?

Both cross attractiveness and strength, but they use distinct factors, conventions and policies. Do not merge their scores.

Which thresholds should be used?

There is no defensible universal threshold. Document the selected boundaries and test sensitivity.

Does the position determine the budget?

No. Allocation also depends on constraints, interactions, risk, cash and capacity.

SRC

Full sources