When priorities compete
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.
AHP Priority Analysis
PriorityCustom tasks · min. 20 respondentsDecision goal
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.
Alternatives
Goal: Select the best option
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.
One decision, stated once.
Every hierarchy starts from a single stated goal — everything below it exists to answer that one question.
Calculate criterion weights.
Pairwise comparisons convert judgments into ranked weights for each first-tier criterion.
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.
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.
Criterion weights
See the importance of each criterion as a weight.
Sub-criterion weights
See importance within each parent criterion together with overall influence.
* 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.
Per-respondent check: 0 / 30 above CR 0.1.
Final ranking
Criterion weights and alternative evaluations are combined to compute the ranking.
* Score = Σ(criterion weight × local priority).
Ranking stability
See how the ranking changes when the importance of a criterion shifts.
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.
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.
ALSO IN SURVEY ANALYSIS
More survey methods
Each survey analysis method answers a different question — same interface, different lens.
Set priorities with evidence
Turn stakeholder judgments into weighted priorities, consistency checks, and a final ranking your team can stand behind.