Platform/AHP Priority
Decision priorities and pairwise comparison
AHP Priority

Priorities you can defend.

The Analytic Hierarchy Process turns pairwise comparisons into eigenvalue-based weights — with up to 5 levels of sub-criteria, consistency checks, segment analysis, and a full ranking table.

Pairwise comparisonUp to 5 hierarchy levelsEigenvalue weightsConsistency ratio (CR)Segment AHPAI interpretation
1–9
Comparison scale
5
Max hierarchy levels
CR
Consistency ratio
AI
Interpretation

When priorities compete

01Choices rely on intuition rather than a consistent method.
02Too many criteria make priorities difficult to compare.
03Inconsistent judgments can undermine the final ranking.
04Different stakeholder priorities make consensus difficult.

AHP derives weights from pairwise comparisons — and checks consistency.

FROM SETUP TO FIELDWORK

Build the hierarchy. See the exact comparison respondents make.

No separate preview step — every criterion you add becomes a pairwise comparison on the right immediately.

createsurvey · ahp-analysis

AHP Priority Analysis

PriorityCustom tasks · min. 20 respondents

Decision goal

Select the best option

What every comparison ultimately decides. Respondents are shown each pair with the standard: "which matters more toward [this goal]?"

Criteria hierarchy (up to 5 levels)

Each criterion is one factor that matters to the decision (e.g. "Price"). Add at least 2. Use "Sub" to split a criterion further — alternatives are only ever compared under leaf (bottom-level) criteria.

1Price+ Sub×
2Quality+ Sub×
3Delivery speed+ Sub×
+ Add criterion

Alternatives

Apply to survey
Live preview
Question 1 of 4

Goal: Select the best option

Price
vs
Quality
← PriceEqualQuality →
9
7
5
3
1
3
5
7
9
‹ Previous
* Required
Next ›

Left: the criteria hierarchy every AHP study starts from. Right: exactly what respondents see — one pairwise comparison at a time, updated as you type.

Hierarchy structure

AHP structures a single goal into criteria and alternatives, then compares them layer by layer. Sub-criteria can split further, so the hierarchy from goal to alternatives can run up to 5 levels deep.

GOAL

One decision, stated once.

Every hierarchy starts from a single stated goal — everything below it exists to answer that one question.

CRITERIA

Calculate criterion weights.

Pairwise comparisons convert judgments into ranked weights for each first-tier criterion.

SUB-CRITERIA

Criteria split as far as you need.

Any top criterion can branch into finer sub-criteria, and each of those can branch again — up to 5 levels from goal to alternatives.

ALTERNATIVES

The tree ends in one winner.

Every alternative is scored against the full weighted hierarchy so the final ranking reflects all criteria.

FROM RESPONSES TO RESULTS

From pairwise comparison to final ranking

Every figure below comes from one real example study — a laptop choice with 30 respondents, 5 criteria and 3 alternatives, computed by the same engine your own survey runs on.

Evaluation structure

Check the rating scale, the comparison method, the criteria structure and the response status.

Study designSaaty 1–9
MethodPairwise (Saaty 1–9)
AggregationGeometric mean
Criteria5 top · 7 leaf
Alternatives3
Valid responses30 / 30
1equal3moderate5strong7very strong9extreme

Criterion weights

See the importance of each criterion as a weight.

Criterion weightsTotal 100%
Brand / support
39.1%
Price
20.7%
Battery life
17.6%
Build quality
13.3%
Performance
9.3%
Interpretation
Brand / support is the top criterion at 39.1% of the decision.

Sub-criterion weights

See importance within each parent criterion together with overall influence.

Sub-criteria7 leaves
Purchase cost← Price80.0% · 16.6%
Design← Build quality75.0% · 10.0%
Graphics← Performance42.9% · 4.0%
Running cost← Price20.0% · 4.1%

* Local weight within its parent, then the global weight multiplied down the hierarchy.

Judgment consistency

The consistency ratio (CR) verifies how reliable the comparison results are.

ConsistencyCR < 0.1
MatrixnλmaxCR
Top criteria54.758−0.0540
Performance33.0000.0000
Battery — alts33.0740.0634
Matrices under CR < 0.113 / 13

Per-respondent check: 0 / 30 above CR 0.1.

Final ranking

Criterion weights and alternative evaluations are combined to compute the ranking.

Final priorities3 alternatives
1· ThinkPad X10.411
2· Dell XPS0.365
3· MacBook Air0.224

* Score = Σ(criterion weight × local priority).

Winner
ThinkPad X1
Brand / support0.600 (1st)
Graphics0.648 (1st)
Purchase cost0.356 (2nd)
Battery life0.117 (3rd)

Ranking stability

See how the ranking changes when the importance of a criterion shifts.

Sensitivity5 criteria
Price
21%
Performance
9%
Battery life
18%
Build quality
13%
Brand / support
39%
Now
ThinkPad X1 0.41
Dell XPS 0.37
MacBook Air 0.22

Drag a weight and the ranking below re-sorts immediately.

A COMPLETE REPORT

See the full report from summary to conclusion.

The six cards above are fragments of this. Scroll the real output end to end, right here on the page.

AHP example — laptop choice · 30 simulated respondents
Scroll to explore the full report

IN THE REPORT

Defensible priorities

Compare options in pairs, validate consistency, and turn stakeholder input into a ranking you can explain.

Pairwise matrix & weights

Every 1:1 comparison you make gets folded into a single consistency-checked weight per criterion — no manual spreadsheet math.

Up to 5 hierarchy levels

Model goal, criteria, sub-criteria, and alternatives as one tree — sub-criteria can branch again, up to 5 levels deep.

Consistency ratio (CR)

A consistency ratio is calculated for every comparison matrix, and matrices above the CR threshold are flagged for review.

Agreement & concentration

See at a glance how tightly 30 respondents agreed, and whether the weight is concentrated in one criterion or spread evenly.

Segment AHP

Compare priorities across age, department, role, or other respondent groups instead of relying only on the pooled average.

Final ranking & radar

The weighted score across every criterion becomes one ranked list and a radar profile, so you see the whole shape of the decision at once.

Group AHP

Aggregate many evaluators' judgments — by geometric mean or weighted average — into a single defensible priority the whole group can stand behind.

Auto interpretation

Every report closes in plain language — no need to read raw weight tables to know what the numbers actually mean.

Set priorities with evidence

Turn stakeholder judgments into weighted priorities, consistency checks, and a final ranking your team can stand behind.

No credit card requiredUp to 5 hierarchy levels