Component Selection Matrix
Rank candidate parts with a weighted decision matrix — your criteria, your weights, your scores.
What it does: Score candidate components against weighted criteria and get an objective ranking.
When to use it: When choosing between two or more parts (op-amps, MCUs, regulators) and you want a defensible decision.
Score each option 1–5 on every criterion (from the datasheets), and set how much each criterion matters (weight). Higher score = better.
| Criterion | Weight |
|---|
| Rank | Option | Weighted score | Score bar |
|---|
MEANS —
No history yet. Each calculation is automatically saved to this device.
How to use the component selection matrix
Name your parts, weight your criteria, score and rank.
- 01
Name your candidate parts
Each column is one candidate component (e.g.
LM358vsTL072). Add or remove option columns as needed. - 02
List and weight the criteria
Each row is a criterion that matters — cost, bandwidth, supply voltage, availability… Give each a weight: higher = more important.
- 03
Score every part and rank
Score each part 1–5 on every criterion (from the datasheets you read), then click Rank options. The highest weighted score wins.
How to score (suggested 1–5 scale)
| Score | Meaning |
|---|---|
| 5 | Best in class for this criterion |
| 4 | Good |
| 3 | Acceptable / average |
| 2 | Below average |
| 1 | Poor / barely meets need |
Scores and weights are your judgement, read from the datasheets. The tool only ranks them — it never invents a part’s specs.
Common questions, answered in 3 minutes
How does the weighted ranking work?
Each option's score is the sum of weight × score over all criteria, divided by the total weight; the highest wins.
Where do the scores come from?
You assign them from the datasheets — this tool structures the decision, it does not look up any part's parameters.
What if two parts tie?
The tool reports a genuine tie rather than guessing a tie-break; refine your weights or add a criterion.
How should I set the weights?
Give the criteria that matter most the highest weight; a weight of 0 removes a criterion from the result.
Standards and sources referenced by this tool
| Item | Value / Formula | Source |
|---|---|---|
| Weighted score | Σ(weight × score) ÷ Σ(weight) | Weighted decision matrix (decision analysis) |
A standard weighted decision matrix. All scores and weights are user-entered; the tool performs deterministic ranking only and never looks up component specifications.