Microsurvey tools, general survey builders, or ranking platforms? 12 PMF survey tools compared on free tiers, branching, segmentation and price.

Seven voting methods to rank a list of names, from pairwise comparison to MaxDiff, with interactive examples. Free to run on OpinionX.

Superhuman's PMF score was 22%, below the 40% benchmark. Segmentation showed it was really 32% among the right users, and told them what to build. Here's the method.

Head-to-head pairwise voting is one of the easiest ways to rank a list of options. This guide explains the best methods and most popular tools to use, along with some real examples.

The Ultimate Guide To Pairwise Ranking — best methods, most popular tools, example pairwise comparison surveys, types of pair ranking, calculation formulas, and more.

The Ultimate Guide To Paired Comparison — definition, best methods, most popular tools, example surveys, types of paired comparison, calculation formulas, and more.

A website A/B test can need 200,000 users. A survey-based one needs about 29. How to run A/B tests with pairwise comparison and monadic studies.

Labster's UX researcher ranked customer problems with OpinionX and found the problem they expected to top the list came 17th. Here's what changed.

Discrete Choice Modeling is a category of research that measures the relative importance of a set of options according to a group of people, including conjoint, maxdiff, pairwise comparison, and more.

Psychographic customer segmentation identifies groups of customers with a similar way of thinking about a topic or issue. Including 5 research methods, 6-step process, a real B2B case study, and how to run a psychographic segmentation survey.

15 ways to test the beliefs your product idea rests on, from a one-afternoon website (like DoorDash) to A/B tests. Plus how to plan and prioritise them.

"Usually" questions get you the idealised version of a person. Anchor to a specific, recent moment instead. The interviewing shift, with a Netflix example.

People reach for conjoint analysis thinking it measures "what matters most". It only measures that in a purchase decision. Here's what to use instead.

Explanations (with examples) for the 13 most popular conjoint analysis methods, including types like choice-based, best-worst, ranking, self-explicated, volumetric, menu-based, adaptive, and more.

Conjoint analysis is an advanced research method for measuring attribute importance in a product mix. It’s complicated, expensive, and can only be used in a handful of research scenarios. Here are 8 examples of alternative research methods to consider instead.

8-step guide explaining how conjoint data is collected, analyzed, and manually computed (with formulas) to calculate part-worth utility scores for each attribute and level in a conjoint analysis survey.

Five criteria conjoint needs, three projects it's great for, and ten scenarios where a simpler, cheaper method gets you a better answer.

I reviewed the 10 most popular conjoint analysis tools, comparing their pricing (free vs paid), functionality, usability, and more. Includes Qualtrics, Conjointly, Sawtooth, OpinionX, SurveyMonkey, and more.

A feature can be unused because it's worthless or because nobody's found it yet. The Value-Adoption Matrix tells you which, so you can fix what's already 90% built instead of shipping something new.

MaxDiff is great, but not always the right fit. Pairwise comparison, ranked choice voting, points allocation and conjoint all force the same trade-off, and all run free.