Best-Worst Scaling is a method for ranking people’s preferences by asking them to choose the best and worst option from a series of statements.

I reviewed 104 survey questions from all the PMF templates I could find online. Here are 8 things to avoid and 3 researcher-approved templates for you to steal for your next Product Market Fit Survey.

When picking a tool for your PMF survey, you need to consider: price and limitations, filtering and segmentation, branching and survey functionality, and more. To save you the time, I tested and reviewed the 12 most popular PMF Survey tools — here’s everything you need to know.

6 voting, polling, and survey methods you can use to turn a subjective set of names into a ranked list based on people’s strongest preferences (with interactive examples and results).

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.

Online surveys are a fast and cheap way to run rapid A/B tests for images, ideas, ad copy, sales messaging, problem statements. Choose between comparative preference testing formats or monadic surveys, and plan ahead for respondent segmentation afterwards.

Discrete choice modeling is a category of research that measures the relative importance of a set of options according to a group of people. This blog covers: definition, occasions, methods, examples.

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.

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.

Conjoint analysis is one of the most misused and misunderstood research methods. This guide covers 5 criteria that must be met to justify using conjoint and 10 examples of when conjoint analysis does or doesn’t suit a research scenario.

Comparing the 10 most popular conjoint analysis tools, including pricing (free tier and annual cost), usability, and other considerations. Tools included in this post are Qualtrics, Conjointly, Sawtooth Software, SurveyMonkey, Pollfish, Alchemer, SPSS, QuestionPro, 1000minds, and OpinionX.

MaxDiff is a great research method for understanding people’s priorities, but all the tools with MaxDiff Analysis are damn expensive. Here are 4 alternative Best-Worst Scale methods you can use instead of MaxDiff Analysis.

MaxDiff is usually seen as an advanced research method, so the majority of products offering MaxDiff are very expensive. This list includes free options, Enterprise versions, and more.

If you’ve got a list of baby names you’re currently considering, this is the post for you! Whether you’re just trying to figure out your own personal opinion or you’re opening the conversation up to multiple people’s input, the technique described here will work perfectly for you.