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.

How do you figure out what to build next when customers are all shouting for different things? Tudor, a UX Researcher at Series C scaleup Labster, learned first hand why you can't always listen to your loudest customers…

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.

How to translate product ideas into their underlying assumptions, identify the riskiest assumption, design an assumption test, pick from 15 assumption testing methods, and define the success and failure criteria for that experiments.

Customer discovery is about uncovering the unmet needs, pains and desires driving people’s behavior. The best way to do that? Ask good questions. Here are some suggestions…

Everyone loves conjoint analysis — even if they don't really understand it. Here's what conjoint is actually for, how it works, and what most people mistake about it.

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.

Which of my features do customers think enable the most important capabilities but have been adopted by the lowest percentage of users? The answer to this question is an untapped goldmine of opportunities in your existing product. Here’s how to find them…

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.

7 techniques to help your team brainstorm problem statements, problem ideas, customer problems, user problems, UX problems and more.

We spend too much time on “customers have all this pain and we need to understand the pain” when most of the time our software doesn’t actually solve 9,000 pain points, it solves a very limited number of them. We have a product that just does these four things and we should just focus on that.

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.

This post covers (1) best practices for designing ranking exercises, (2) explanations of the seven most popular ranking methods, and (3) tips on which methods are best suited to specific scenarios.