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406 Scenario planning<br />

These scores do not need to be exact. The process of determining them<br />

and the focused thinking that this engenders are likely to be at least as<br />

valuable as the quantitative result which is obtained at the end of the<br />

analysis. For our two example objectives the scores are shown below.<br />

Objective: Maximize long-term profit<br />

Strategy<br />

Scenario<br />

DOG FIGHT MAIL MOUNTAIN<br />

STATUS QUO 0 80<br />

R&D 30 100<br />

DIVERSIFY 50 60<br />

Objective: Maximize share of letter market<br />

Strategy<br />

Scenario<br />

DOG FIGHT MAIL MOUNTAIN<br />

STATUS QUO 0 100<br />

R&D 80 100<br />

DIVERSIFY 0 100<br />

Stage 6 Remove strategies whose performance on any objective, in any<br />

scenario, renders the strategy to be unacceptable<br />

This is an important stage in the analysis. It should serve to alert decision<br />

makers to the dangers of pursuing particular strategies. It may also, of<br />

course, enable strategies to be modified to avoid such dangers. (Note<br />

that removal of a strategy will necessitate a reallocation of scores, where<br />

that strategy was the only one to score either 0 or 100 against a given<br />

objective.) In this case it is assumed that all strategies are acceptable.<br />

Stage 7 (a) Compare 0 to 100 swings in strategy-scenario combinations<br />

for the objectives. Rank these swings in order of importance<br />

In Chapter 3 we argued that swing weights should be used to compare<br />

the ‘importance’ of objectives. Here, this will involve ranking the

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