Define the specific decision
Use a simple score to order your review rather than declaring one item objectively superior.
For candidates relevant to “Score wishlist priorities with simple weights”, use the skin finder. Keep this task separate from your broader inventory plan.
Read the worked example
In a teaching example, personal use frequency has weight two and replacement satisfaction weight one; scores of three and two produce eight points.
A weight is a rule for your assessment, not an objective property of the item. In the example, frequency score three with weight two contributes six; desired-change score two with weight one adds two, giving eight. Another candidate with scores two and three gets seven. If both weights become one, the result is a five-to-five tie. This matters more than a polished ranking: the order depends on what you consider important. Avoid numerous criteria that count the same preference repeatedly. Keep original scores separate from the formula result. With close totals, return to the images and the original task instead of declaring a winner with false precision.
| Entry | Interpretation |
|---|---|
| Candidate A | three times two plus two equals eight |
| Candidate B | two times two plus three equals seven |
| Equal weights | both score five |
Use this task checklist
- Choose two personal criteria.
- Write the weights before scoring candidates.
- Check whether a different weight changes their order.
Recognise the failure condition
Adjusting weights after scoring solely to place a favourite candidate first.
Priorities are explained by the criteria and their sensitivity to weights is visible.
Apply the additional check
Give the scale verbal boundaries. Frequency one might mean rare in your experience and three frequent, with two covering a mixed case. Define desired change independently so the criteria do not describe the same preference twice. Weight two does not turn frequency into a measured universal fact; it is your rule for review order. With equal five-point results, keep both candidates without inventing decimal rankings. The weights' connection to the task matters more than a one-point difference produced by an arbitrary scale change.