Best MaxDiff survey software in 2026
Nine MaxDiff platforms compared on design, scoring, and reporting, plus the piece no tool includes: the verified people who actually rank your items.
The best MaxDiff survey software in 2026 comes down to how complex your design is and how much scoring is done for you. Sawtooth Software is the reference tool for advanced and anchored MaxDiff, Qualtrics fits teams already on its platform, and Conjointly, QuestionPro, and AYTM offer guided setup with automated scoring. But like every choice-modeling method, MaxDiff has a hidden dependency the software never covers: the people who actually rank your items. This guide compares nine platforms, walks through the criteria that matter, and explains how to source the verified respondents your study depends on.
What MaxDiff software does, and what it does not
MaxDiff, short for maximum difference scaling, asks respondents to pick the most and least important item from small sets, repeated across many sets. From those forced choices the software derives a clear priority ranking with meaningful gaps between items. It solves the classic problem of rating scales, where respondents rate almost everything as important and the results flatten out.
The software handles the design of the item sets, fielding, and the scoring that converts choices into ranked utilities. What it does not handle is who answers. The ranking is only as trustworthy as the sample behind it. If you want to understand the method before comparing tools, start with how to run a MaxDiff survey.
Selection criteria that actually matter
Four things separate a MaxDiff tool that will serve a real study from one that will get in your way.
Design capability
Check how many items the tool supports and whether it offers sparse or express designs for large lists, anchored MaxDiff to distinguish important from unimportant items, and automatic balancing so every item appears a fair number of times. Weak design tools force you to cut your item list before the study begins.
Scoring and analysis
Look for individual-level scores using hierarchical Bayes, not just aggregate counts, plus the ability to export raw utilities for your own segmentation. Aggregate-only tools limit how deeply you can analyze differences between groups.
Reporting
The output has to be readable by people who did not design the study. Clear ranking charts, subgroup comparisons, and shareable dashboards turn the scores into decisions the wider team can act on.
Respondent sourcing
The criterion buyers most often overlook. Some tools bundle a panel, some connect to external panels, and some assume you bring your own respondents. In B2B and niche categories, the verification and fit of that sample decides whether the study is usable at all.
The best MaxDiff survey software in 2026
Here are nine tools worth shortlisting. Treat the pricing notes as general models rather than quotes, and confirm current pricing with each vendor.
| Tool | Best for | Scoring depth | Sourcing model |
|---|---|---|---|
| Sawtooth Software | Advanced and anchored MaxDiff | Very high, hierarchical Bayes, raw utilities | Bring your own or connect panel |
| Qualtrics | Teams already on Qualtrics | High, integrated reporting | Bring your own or Qualtrics panels |
| Conjointly | Guided setup and automated analysis | High | Built-in panel or bring your own |
| QuestionPro | Accessible MaxDiff for general teams | Medium to high | Built-in panel or bring your own |
| AYTM | Speed with a built-in panel | Medium to high | Built-in consumer panel |
| Displayr / Q | Analysts wanting full control | Very high, flexible modeling | Bring your own data |
| Alchemer | General survey teams adding MaxDiff | Medium | Bring your own or connect panel |
| SurveyEngine | Academic and health research | High, discrete choice focus | Bring your own or connect panel |
| Forsta | Enterprise, global fieldwork | High, part of a larger suite | Managed fieldwork options |
Sawtooth Software
Sawtooth is the specialist standard for MaxDiff. It supports large item lists with sparse and express designs, anchored MaxDiff, individual-level scoring, and full export of utilities. It fits research teams and consultancies that need defensible results and granular segmentation. The cost is a steeper learning curve aimed at professional researchers.
Qualtrics
Qualtrics includes MaxDiff within its experience-management suite, reusing the same survey builder and dashboards. It is the natural default for organizations already standardized on Qualtrics, though it is less specialized than Sawtooth for very large or anchored designs.
Conjointly
Conjointly offers MaxDiff with guided setup and automated scoring, producing readable reports without requiring a statistician. It fits product and marketing teams who want rigor with less manual work, and it can field to its own panel or your list.
QuestionPro
QuestionPro makes MaxDiff accessible inside a broad survey platform, with templates and automated scoring. It fits teams that want a capable MaxDiff at a general-tool entry point rather than a specialist license.
AYTM
AYTM pairs MaxDiff with a built-in consumer panel and quick turnaround, which suits consumer brands that want same-week results. For B2B or specialized audiences, its consumer panel is less of a fit, and external professional recruitment becomes important.
Displayr and Q
Displayr and Q are analysis environments that give analysts deep control over MaxDiff scoring, segmentation, and reporting from data collected elsewhere. They fit insights teams with statistical skills who want to own the modeling.
Alchemer
Alchemer supports MaxDiff-style questions within a flexible general survey platform. It fits organizations that occasionally need the method and prefer one tool for many survey jobs.
SurveyEngine
SurveyEngine focuses on discrete choice methods with strong roots in health and academic research. It fits studies that need methodological rigor and can connect to external panels for fieldwork.
Forsta
Forsta offers MaxDiff as one capability within a large enterprise research suite, with managed fieldwork, multi-language support, and governance across many projects. It fits global organizations running research at scale.
The dependency every MaxDiff tool leaves to you
Read the sourcing column again. Every capable platform assumes you bring your own respondents or plug in a panel. The scoring engine ranks whatever choices arrive, with no way to check whether the person choosing is the practitioner you targeted or a panelist optimizing for the incentive.
For consumer priorities, a general panel can be fine. For B2B feature prioritization, messaging tests, or roadmap decisions, it usually is not. A MaxDiff ranking of enterprise-software features is only meaningful if the people ranking them actually buy, use, or influence that software. A clean ranking built on the wrong audience is confidently misleading. Sizing the study correctly matters too; see how to calculate survey sample size before you field.
There is also a quieter risk. MaxDiff produces a tidy ranking no matter who answers, so bad sample does not announce itself the way a broken survey would. The output looks the same whether it came from your target practitioners or from panelists who sped through the sets. That is why verification, attention checks, and clear screening criteria belong in your plan from the start rather than as a cleanup step afterward. The item list, the design, and the scoring all deserve care, but none of them can rescue a study fielded to the wrong people.
Where CleverX fits in a MaxDiff study
CleverX does not calculate MaxDiff scores. Sawtooth, Qualtrics, Conjointly, and the rest do that. What CleverX provides is the respondent layer those tools leave open.
CleverX is an on-demand B2B research platform with more than 8 million verified professionals, each confirmed through both work email and LinkedIn, across 150 or more countries. You specify the exact audience your MaxDiff study needs, by role, seniority, industry, company size, or region, and recruit real professionals to complete the exercise you built. Fieldwork typically finishes in about 2 to 5 days, it runs pay-as-you-go rather than on a long contract, and AI Interview Agents can add follow-up qualitative sessions to explain why certain items ranked high.
The workflow is straightforward. Build and host the MaxDiff exercise in your survey tool, then use CleverX to recruit and route verified professionals into it. The software handles the scoring; CleverX makes sure the people generating those scores are the ones your decision depends on. For the broader stack, see our roundup of the best B2B participant panels in 2026 and our guide to how to recruit B2B research participants.
Start recruiting verified experts on CleverX
How to choose the right MaxDiff tool
Work through three questions in order.
First, how large and complex is your item list? Long lists, anchored designs, or exportable utilities point to Sawtooth, SurveyEngine, or Displayr. Shorter, simpler studies are served faster by Conjointly, QuestionPro, or Qualtrics.
Second, who reads the results? If a statistician owns analysis, choose a tool that gives control. If the business reads the output directly, choose one that automates scoring and produces clear ranking charts.
Third, and most decisive, where do respondents come from? Consumer studies may be fine on a built-in panel. B2B and specialized studies should treat the MaxDiff tool as the analysis layer and recruit verified professionals separately.
Answer those and the shortlist usually narrows quickly. Because MaxDiff and conjoint often appear in the same projects, our guide on how to run a conjoint analysis and our market research methodology guide are useful companions when you are choosing between methods.
Frequently asked questions
What is the best MaxDiff survey software in 2026?
It depends on your goals. Sawtooth Software is the reference tool for advanced MaxDiff and anchored designs. Qualtrics fits teams already on its platform. Conjointly and QuestionPro offer guided setup with automated scoring, and AYTM pairs MaxDiff with a built-in panel for speed. The best choice comes down to design complexity, the analysis you need, and where your respondents come from.
How much does MaxDiff software cost?
Pricing models differ across vendors. Some sell an annual license, some charge per project or per response, and some include MaxDiff inside a wider survey suite. Specialist platforms built for expert researchers usually cost more than general survey tools with a MaxDiff feature. Sample size and whether analysis is self-serve or done for you also affect the total. Confirm current pricing with the vendor.
How many items can I test in a MaxDiff study?
Most tools handle 10 to 40 items comfortably, and many support more using sparse or express designs where each respondent sees only a subset. Testing more items requires either more respondents or a design that spreads items across the sample. The practical limit is respondent fatigue, so keep each task short and let the design distribute items rather than showing everyone everything.
Do I need to recruit respondents separately from the tool?
Usually yes. MaxDiff software builds the exercise, fields it, and calculates the scores, but it does not supply the people who complete it. You bring your own list or connect a panel. For B2B or specialized audiences, recruiting verified respondents who genuinely match your target is often the hardest and most decisive part of the study.
What sample size do I need for MaxDiff?
A common guideline is 200 to 300 respondents for a stable overall ranking, with more needed if you want to compare subgroups. Because MaxDiff spreads items across respondents, larger item lists benefit from larger samples. As with any study, plan the sample around your smallest reporting segment rather than the total so each subgroup has an adequate base.
What is the difference between MaxDiff and a rating scale?
A rating scale asks people to score each item on its own, which often produces flat results where everything looks important and scores cluster near the top. MaxDiff forces trade-offs by asking respondents to pick the most and least important item in each set, which spreads the results and reveals clearer priorities. That forced choice is why MaxDiff discriminates better than Likert-style ratings.
Can MaxDiff be used for B2B research?
Yes, MaxDiff works well for B2B feature prioritization, messaging tests, and roadmap decisions. The difficulty in B2B is reaching the right people rather than running the method. You need practitioners and decision makers in specific roles and industries, which consumer panels rarely provide. Verified professional recruitment matters as much as the software you choose.