Decision Making Decision method

Decision Matrix

Compares options against the same declared criteria and keeps the rationale for a decision open to review.

A Decision Matrix places alternatives beside decision-relevant criteria. In a weighted version, criterion weights and ratings use a shared, defined scale. The sum makes assumptions traceable; it is not objective truth. Uncertainty and close scores must shape the recommendation.

Core question

Which option best fits the decision against the same evidenced criteria and disclosed uncertainty?

Plan a Decision Matrix Method guide

Start comparison

Give feedbackIs this method useful to you?

Participants: 2-8
Time: 45–90 minutes with prepared evidence

Criteria and assumptions shape the result. A high total does not replace a decision.

Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.

Decision
Set the decision frame
Name the question, scope, decision owner, and binding minimum requirements.
Criteria
Separate and anchor criteria
Choose criteria that reveal real differences. Define weights and scale anchors before rating.
Evidence
Rate options with evidence
Rate every option against every criterion. Separate observed evidence, estimates, and open questions.
Ranking
Check totals and margins
Calculate weighted ratings and inspect margins, minimum requirements, and critical individual criteria.
Robustness
Record sensitivity and decision
Vary plausible weights or uncertain ratings. Then record the recommendation, caveats, and responsible decision.

Version criteria, weights, scales, evidence, and rankings. Update the matrix when the decision context or relevant data changes.

A good fit when

Use the method for a bounded decision with several plausible options and criteria that can be compared with a rationale.

Ideal for

Tool selection
Vendor choice
Tradeoff decisions

Not good for

Very uncertain problem spaces
Pure consensus building without criteria

Outputs

Rated matrix
Shared criteria, defined scale, weights, and evidence.
Decision brief
Ranking, sensitivity, recommendation, and owned decision.

Weighted comparison of two services

Fictional teaching example

Fictional ratings on an anchored 1–5 scale with a narrow result shown openly.

Weighted comparison of two services
Criterion	Criterion	Weight	Service A	Service B	Fictional evidence
Criterion 1Rating 1–5 × weight; higher means better fit.	Understandable to users	30%	4 × 30% = 1.20	3 × 30% = 0.90	Scripted comprehension check
Criterion 2Rating 1–5 × weight; higher means better fit.	Access protection	35%	3 × 35% = 1.05	5 × 35% = 1.75	Check against pilot requirements
Criterion 3Rating 1–5 × weight; higher means better fit.	Workflow fit	25%	5 × 25% = 1.25	4 × 25% = 1.00	Fictional workflow prototype
Criterion 4The scale is anchored so lower implementation effort receives a higher rating.	Implementation effort	10%	4 × 10% = 0.40	3 × 10% = 0.30	Fictional team estimate
Weighted totalSum weight × rating; maximum total is 5.	Total score	100%	3.90	3.95	Service B leads by 0.05; check robustness.

1. Criterion
Criterion 1
Understandable to users
Criterion 2
Access protection
Criterion 3
Workflow fit
Criterion 4
Implementation effort
Weighted total
Total score
2. Weight
Criterion 1
30%
Criterion 2
35%
Criterion 3
25%
Criterion 4
10%
Weighted total
100%
3. Service A
Criterion 1
4 × 30% = 1.20
Criterion 2
3 × 35% = 1.05
Criterion 3
5 × 25% = 1.25
Criterion 4
4 × 10% = 0.40
Weighted total
3.90
4. Service B
Criterion 1
3 × 30% = 0.90
Criterion 2
5 × 35% = 1.75
Criterion 3
4 × 25% = 1.00
Criterion 4
3 × 10% = 0.30
Weighted total
3.95
5. Fictional evidence
Criterion 1
Scripted comprehension check
Criterion 2
Check against pilot requirements
Criterion 3
Fictional workflow prototype
Criterion 4
Fictional team estimate
Weighted total
Service B leads by 0.05; check robustness.

Formula: weighted total = sum of weight (as a decimal) × rating. Weights total 1 or 100%. Ratings always increase with suitability. A plausible change from 30/35/25/10 to 35/30/25/10 reverses the ranking: A 3.95, B 3.85. Check weights and minimum requirements before recommending.

NASA Systems Engineering Handbook: Decision Analysis

First step

Name the decision question, options, decision owner, and non-negotiable requirements. Separate eligibility gates from weighted preferences.

Open the method guide

Printable worksheet

A compact guide with space for your own results. Download, print and reuse it the next time you apply the method.

PDF · A4 · German

Download worksheet

Good to do first

Innovation

Brainstorming

Supplies the collected options that get compared against criteria here.

Where to go next?

Decision Making

Trade-off Analysis

Weighs the remaining options against consciously accepted downsides as well.

Paper illustration of an activity-role table with clear RACI assignments and one highlighted accountable role per activity.

Operations

RACI Matrix

Clarifies ownership for implementing the chosen option.

Deep dive

Purpose

When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.

How it works

Every option gets the same criteria and the same scoring logic. This reveals strong preferences, outliers, or fragile compromises, and sensitivities can be considered directly. The result condenses subjective judgments into a traceable ranking.

In detail

A Decision Matrix helps when options only become fairly comparable through several criteria. What matters are clear scales, justified weights, and sensitivity questions, not seemingly objective sums. The benefit arises when the matrix makes assumptions and trade-offs visible and the decision stays traceable even with diverging assessments.

Facilitation

Agree on criteria, weighting, and the meaning of each scale before scoring, so the matrix doesn't turn political only once results appear. It gets interesting when deviations between raw values, weights, and sensitivity are discussed openly. In the end, there should be a solid ranking with documented reservations and a clear decision.

The method guide walks execution through 5 phases, timing, 5 pitfalls, and clear stop criteria.

Open method guide

Your perspective

Does this method help with your work?

Your feedback helps shape the next improvements to methodatlas.

Sources and topics

Topics

Decision Criteria Scoring Tradeoffs

Sources

6.8 Decision Analysis - NASAnasa.govBeschreibt Alternativen, Kriterien, gewichtete Trade-off-Matrizen, Skalen, Evidenz, Unsicherheit, Robustheit und das Dokumentieren der Entscheidung.NASA Systems Engineering Handbooknasa.govErgänzende Systems-Engineering-Referenz zu Bewertungsmaßstab, Alternativen, Annahmen und Grenzen einer Entscheidungsauswertung.

Artifact templates

Trade-off MatrixMarkdown matrix for comparing options across competing criteria and accepted trade-offs.

markdown

trade-off-matrix-markdown.md

Markdown matrix for comparing options across competing criteria and accepted trade-offs.

Trade-off Matrix: Decision

Criterion	Weight	Option A	Option B	Option C
Benefit	30
Cost	20
Risk	20
Time-to-Learn	15
Reversibility	15

Accepted trade-offs

Option A accepts:
Option B accepts:
Option C accepts:

Recommendation

Which option is recommended and why?

Sensitivity

Which small change in weighting or assumption would flip the recommendation?

Decision Matrix: WorksheetPlan a bounded decision with comparable options, a shared rating scale, and evidenced criteria.

markdown

decision-matrix-working-template.md

Plan a bounded decision with comparable options, a shared rating scale, and evidenced criteria.

Decision Matrix: Worksheet

Question

To be confirmed

Desired outcome

To be confirmed

Scope

Run a criteria comparison Time: 45–90 minutes for joint scoring; evidence gathering is additional

Complete this worksheet on paper or in your own document during the work.

Preparation for this scope

Method setup

Materials: Decision question, real alternatives, criteria and weights, defined rating scale, evidence sources, and a blank comparison table.
Roles: The decision owner approves criteria and weights. Subject experts rate evidence and uncertainty. Facilitation records divergent assessments.
Advance information: Describe options, clarify hard requirements, gather evidence for relevant criteria, and involve the decision owner.
Overall time needed: 45–90 minutes for a prepared comparison. Missing market, cost, or technical research takes additional work.
Setup: Write criteria so they are distinct and decision-relevant. Normalize weights to 100 percent total. Define a shared scale with observable anchors. For a weighted sum, total score = sum of weight × rating; ratings must share a scale. Low costs or risks need a scale direction that reflects desirability. Keep evidence, assumptions, and uncertainty visible in each cell.

Prepare for the work steps

Decision: Set the decision frame

Decision need and context

Criteria: Separate and anchor criteria

Requirements and subject knowledge

Evidence: Rate options with evidence

Option descriptions and criteria

Ranking: Check totals and margins

Complete matrix and agreed weights

Robustness: Record sensitivity and decision

Ranking, assumptions, and uncertainty

Weighted comparison of two services

Criterion	Criterion	Weight in percent	Option A: rating and weighted value	Option B: rating and weighted value	Evidence, source, or uncertainty
Criterion 1
Criterion 2
Criterion 3
Criterion 4
Weighted total

Criterion 1: Rating 1–5 × weight; higher means better fit.
Criterion 2: Rating 1–5 × weight; higher means better fit.
Criterion 3: Rating 1–5 × weight; higher means better fit.
Criterion 4: The scale is anchored so lower implementation effort receives a higher rating.
Weighted total: Sum weight × rating; maximum total is 5.

Blank worksheet: record the decision, minimum requirements, rating scale, and weight total. Enter evidence and ratings yourself. Example values are not carried over.

NASA Systems Engineering Handbook: Decision Analysis