Standard MaxDiff tells you that one feature matters more than another. It never tells you whether either one actually matters at all. Anchored MaxDiff Scaling closes that gap by adding a single extra question that turns a relative ranking into an absolute one.
In this article, we’ll explore what Anchored MaxDiff is, how the two anchoring models work, and how to set it up in a MaxDiff survey.
What is Anchored MaxDiff scaling?
Anchored MaxDiff is a technique that upgrades a standard MaxDiff exercise from a relative model into an absolute one. A relative model only tells you how one option compares to another; an absolute model tells you whether an option matters at all.
Traditional MaxDiff identifies which attributes matter more or less relative to each other. It never establishes whether any of them clear a real bar of importance:
- Feature A might score twice as high as Feature B
- That comparison alone says nothing about whether either one is actually important to respondents
- Neither one might clear a meaningful threshold at all
Anchored MaxDiff adds one extra question, the “anchor,” that asks respondents to draw a line between attributes that genuinely matter and those that don’t.
When to use Anchored MaxDiff
Anchored MaxDiff works in almost any research scenario involving multiple competing options:
- A smartphone manufacturer prioritizing which features to build next
- An apparel brand deciding which trends are worth chasing
- Any study where a “top pick” alone doesn’t tell the full story
Here’s a concrete example. A researcher studying credit card preferences shows respondents 6 card brands using a standard MaxDiff question. Most respondents will only ever select 2 of the 6 as their most and least preferred, which leaves the remaining 4 unexplained.
Adding an anchor question fixes that gap. If respondents mark Visa, Mastercard, and American Express as “must-haves,” the researcher learns something important. Even though Visa ranked highest, Mastercard and Amex still matter to respondents rather than sitting in an ambiguous middle.
The same logic applies well beyond product features. In concept testing, respondents can rank which design concepts they like most and least. An anchor question then identifies every concept they’d genuinely be happy with.
How does anchoring work?
Anchored MaxDiff supports two models for adding that extra question. Both insert as a simple multiple-choice step into the existing MaxDiff exercise:
- Binary Direct: Respondents mark every option that’s a “must-have”
- Dual Response: Respondents identify some, all, or none of the options
Each model is covered in more detail below.
Binary Direct model
The Binary Direct model is the simpler and more common of the two. Respondents see every available option at once and mark which ones are “must-haves.” A few things make this model easy to work with:
- One clean action from the respondent, no extra framing needed
- A straightforward line between “must-have” and “nice to have”
- Fast to set up on the research side
That single action draws a clean line between what genuinely matters to a respondent and what falls into “nice to have” territory.
Dual Response model
The Dual Response model asks respondents to identify some, all, or none of the options using straightforward multiple-choice questions. It gives researchers slightly more flexibility in how the anchor question is framed, at the cost of a bit more complexity for respondents.
How do I set up Anchored MaxDiff in QuestionPro?
Anchoring is available as a setting on the MaxDiff question type, but it’s off by default. Enabling it adds the anchor question automatically to the standard MaxDiff flow. A few things are worth knowing before you turn it on:
- The anchor question is fully customizable, so wording can match the study, whether that’s “must-haves,” “would definitely buy,” or another phrase
- Once enabled, the anchor question runs as part of the same survey flow as the standard MaxDiff task
- The raw data includes the anchor results alongside the standard MaxDiff output, ready for analysis in the same report
What questions can Anchored MaxDiff answer?
A single MaxDiff score means little without a reference point. Saying one feature scored a 10 and another a 5 only tells you the first is twice as preferred. It doesn’t tell you whether either one is worth building. Anchoring gives that missing context. The technique is commonly used to answer questions like the following.
- How do customers perceive specific product features or attributes?
- What do customers weigh most heavily when making a purchase decision?
- How well does a product actually meet customer needs?
- Which features do customers consider absolute essentials?
- What are customers willing to trade off to get those essential features?
- How does a business compare to its closest competitors on what matters most?
A standard MaxDiff survey works well when you just need a high-level read on preferences. Anchored MaxDiff is the better choice when you need to draw a real line between what matters and what doesn’t. Ranking everything relative to everything else isn’t always enough.
Frequently Asked Questions (FAQs)
Standard MaxDiff only shows how options compare to each other, without indicating whether any are actually important. Anchored MaxDiff adds one extra question that identifies which options clear a real importance threshold, not just which ones rank higher.
Binary Direct is simpler for respondents and easier to set up, since it just asks which options are “must-haves.” Dual Response offers more flexibility in how the anchor question is framed. That can help with more nuanced research questions.
It adds one extra question to the standard MaxDiff flow, so it takes slightly longer. That added step is a simple multiple-choice question, though, and doesn’t meaningfully increase respondent burden.
