Ranking priorities — sound familiar?
MaxDiff forces trade-offs — revealing true preference and share.
01 · UTILITY SCORES
Confirm importance with data, not guesswork.
Best-Worst utility scores with high discriminating power.
Each respondent sees small sets of items and picks the most and least preferred. Aggregating across tasks produces stable utility scores — free from the "everything matters" inflation common in rating scales.
Best-Worst Utility Scores
n=200Utility 0–100 · B = Best selection rate · W = Worst selection rate
Preference Share
Share of PreferenceRemoval impact — if Quality removed
Relative preference: how much more preferred vs. equal share baseline
02 · PREFERENCE SHARE
See how much each item is preferred.
Preference share chart and relative preference side by side.
Preference share converts utility scores into a percentage that sums to 100 — making it easy to compare items and simulate what happens when one is removed or a package is designed.
03 · FINAL RANKING
See clear priorities at a glance.
Best%, Worst%, net utility — all in one table.
The final ranking table lists every item with its Best selection rate, Worst selection rate, net utility (Best − Worst), and preference share. Items frequently selected as Worst are flagged as candidates for review.
Final Ranking
Net utility · all items
| Rank | Item | Best% | Worst% | Net |
|---|---|---|---|---|
| 1 | Product Quality | 62% | 4% | +0.58 |
| 2 | Price | 51% | 9% | +0.42 |
| 3 | Customer Service | 38% | 14% | +0.24 |
| 4 | Delivery Speed | 24% | 22% | +0.02 |
| 5 | Loyalty Programreview | 13% | 38% | −0.25 |
| 6 | Packagingreview | 6% | 52% | −0.46 |
순효용 = Best 선택률 − Worst 선택률 · 검토 = 개선 검토 대상
Segment Analysis
Age rangeUtility by segment — Product Quality
Where priorities diverge
04 · SEGMENT ANALYSIS
Different people, different priorities.
Group comparison chart and where priorities diverge.
Split respondents by age, region, role, or any categorical variable. Skari computes separate utility scores per segment and highlights where priorities flip — telling you exactly which customer group cares most about each item.
IN THE REPORT
Everything MaxDiff delivers.
Best-Worst choices in — utilities, share, and ranking out.
Utility scores
Best-Worst scaling turns choices into item utilities.
Preference share
Share of preference each item would capture.
Final ranking
A clear, defensible ranking of all items.
Segment comparison
Compare preferences across respondent groups.
Anchored MaxDiff
Separate the truly important from the merely relative.
Auto interpretation
Plain-language reading of the preference structure.
ALSO IN SURVEY ANALYSIS
Explore more survey tools.
Each survey analysis method answers a different question — same interface, different lens.
"Everything matters" → clear priorities.
Best-Worst choices in · utility scores, preference share, segment analysis out — in one analysis.