Ask someone why they chose a product, and they’ll usually have an answer. But that doesn’t always mean you’ll understand the real reason behind their decision.
People often explain their choices logically, even when those choices were influenced by fast, automatic reactions they weren’t fully aware of. This isn’t because respondents are dishonest. It’s because much of human decision-making happens quickly and unconsciously, before there is time to carefully think things through
The result is a familiar problem for researchers: what people say matters to them and what actually drives their behavior can be two different things. That gap is exactly what MaxImplicit, RIWI’s research method, is built to close.
One Method, Two Lenses
MaxImplicit pairs two complementary techniques into a single scorecard:
- MaxDiff (Best-Worst Scaling) — respondents repeatedly choose the most and least important attributes from a series of options. Because they’re forced to make trade-offs, MaxDiff produces a clean ranking of what consumers value most in a category, without the inflation or bias common to rating scales.
- Implicit Selection Testing (IST) — rather than asking people to explain their opinions, IST measures how quickly they connect a brand or concept with an attribute. It measures automatic associations in milliseconds — the brain can’t perform under time pressure while curating a polite answer. Faster responses signal stronger automatic associations — the gut-level reactions that traditional surveys rarely surface.
On their own, each lens tells you something useful. Together, they tell you something researchers can actually act on: what consumers value most in a category, and whether a given brand instinctively owns that territory — or not.
What Consumers Value, and Where Brands Actually Sit
Every MaxImplicit study produces two readings side by side: an explicit priority hierarchy from MaxDiff, and an implicit association strength from IAT. Reading them together surfaces two kinds of findings.
Convergence: When a brand’s stated priorities and automatic associations point the same direction, it’s occupying the territory consumers expect. That alignment is a strong signal — confidence in the finding, and in the strategic decisions built on it, increases meaningfully.
Divergence: This is where the most useful insight tends to live. Consumers may rank an attribute highly, while implicit testing shows a particular brand or product isn’t automatically associated with it at all. That doesn’t mean consumers were dishonest. It usually means the association hasn’t been built yet, or that a different, unstated attribute is actually driving choice.
Take an afternoon snack category, for example. MaxDiff might reveal that “helps me relax” and “has a luxurious taste” are the attributes consumers value most — well ahead of something like “is a healthy option.” IAT then shows how each product in the category actually measures up against those two attributes. Chips might score lowest on both, despite being a category staple. Chocolate might show the strongest implicit alignment with both. That gap between what the category demands and what each product currently owns is exactly the kind of finding a traditional survey would miss — and exactly where innovation or messaging investment would pay off most.
Turning Insight Into Action
Because MaxImplicit measures both conscious evaluation and instinctive response, it supports research across the product lifecycle. Teams use it to:
- Validate new product or campaign concepts before go-to-market
- Diagnose why an existing product underperforms relative to category expectations
- Identify the language and associations that should anchor brand messaging
- Map where competitors sit and where whitespace remains unclaimed
- Track how brand associations shift over time
Getting the Research Right
Like any research method, MaxImplicit requires careful study design. Clear objectives, appropriate stimuli, thoughtful survey flow, and rigorous quality control are all essential for reliable results. It shouldn’t be bolted onto an existing questionnaire as an afterthought — it works best when built into the research from the start, on infrastructure designed to run both parts of the method together rather than stitching them together after the fact.
A More Complete Picture of Consumer Decision-Making
Consumer decisions are shaped by both deliberate thinking and automatic reactions. Measuring only one side tells only part of the story.
MaxImplicit measures both — what consumers say matters most in a category, and what they instinctively associate with the brands competing in it. Together, that pairing gives product, brand, and marketing teams stronger evidence for the decisions that follow.
Learn more by downloading the full whitepaper: MaxImplicit: Amplifying The Impact of Implicit Data