How to use the Decision Matrix Generator.
A decision matrix clarifies preferences but cannot choose the right weights for you. Test whether small weight changes alter the preferred option.
Make the workflow fit your task.
Define criteria, weights and scoring anchors before comparing options. Calculate weighted totals, then vary influential weights to show whether the preferred option is robust or depends on a narrow preference.
- What you provide
- Options, criteria and user-selected weights.
- What you get
- Transparent weighted comparison with sensitivity notes.
See the input and the result.
Illustrative input and output · a teaching example, not a live WebAct run
Example input
Decision scores use 1–5, higher better. A: speed 5, cost 2. B: speed 3, cost 5. Compare equal weights with speed 0.8 and cost 0.2.
Completed example
Equal weights: A = 5 × 0.5 + 2 × 0.5 = 3.5 B = 3 × 0.5 + 5 × 0.5 = 4.0 B ranks first. Speed-heavy weights: A = 5 × 0.8 + 2 × 0.2 = 4.4 B = 3 × 0.8 + 5 × 0.2 = 3.4 A ranks first. The preferred option depends on the decision owner's priorities; the matrix does not choose those priorities.
Load this input into the prompt, then copy it to WebAct to try the task. Your result may differ from the illustration.
Decisions and troubleshooting.
Who should choose the weights in a decision matrix?
The decision owner should set or approve them. The tool can explain their effects, but should not invent the priorities that determine the choice.
Why does a small weight change reverse the ranking?
The options are close under the chosen criteria. Present the trade-off and sensitivity instead of claiming an obvious winner.
Try it with your own source.
Replace the example with your material in the task prompt. Keep the requirements you need, then copy the task into WebAct.
Customize and copy the task ↑