connecteddale

Strategy Coach = Clarity + Alignment

Decision Matrix

A Decision Matrix scores several options against the same weighted criteria, so the option with the best overall number, not the loudest advocate, wins the argument.

Each option passes through the same weighted criteria to produce one score - a way to sharpen the argument, not settle it.

1 List options and criteria 2 Weight each criterion 3 Score every option 4 Total the weighted scores 5 Open the conversation
The sequence for scoring options against weighted criteria.

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How to run it

  1. List the real options and the criteria that actually matter to the decision.
  2. Weight each criterion by importance, so the weights sum to a fixed total.
  3. Score every option against every criterion on the same scale.
  4. Multiply score by weight and total each option.
  5. Use the ranking to open the conversation about what to choose, not to close it automatically.

A worked example

Situation. Chidi Okafor ran Okafor Steelworks, a mid-sized fabrication plant outside Lagos, Nigeria, choosing between three new cutting machines, with the loudest engineer's preference usually winning.

Applied. He built a matrix scoring each machine on cost, maintenance downtime, operator training time and output speed, weighted by what actually mattered to the plant that year.

Result. The cheapest machine, the engineer's favourite, scored lowest once training time and downtime were weighted properly. The plant bought the mid-priced option and cut changeover time within the quarter.

1 List options and criteria 2 Weight each criterion 3 Score every option 4 Total the weighted scores 5 Open the conversation
Hanwoo Steelworks: weighting properly dropped the engineer's favourite machine to last.

The catch

The matrix looks objective but the weights are opinions wearing numbers, and whoever sets the weights quietly decides the winner before any scoring happens. It also flattens genuine trade-offs into a single score, which can hide that the top-ranked option is mediocre everywhere rather than excellent where it counts.

If changing one person's weight would flip the winner, the matrix hasn't decided anything, it's just made the argument more precise.