The Full-Stack Researcher
Guides, Case Studies, & Actionable Advice for Mixed-Methods User Research
Gabor Granger method for pricing surveys (how it works, setup, when it's wrong)
The Gabor Granger method finds your revenue-maximising price from yes/no votes. What it measures, how to set one up, and when it's the wrong tool.
How to read a Gabor Granger chart (2 curves, 4 boxes, 1 price)
Gabor Granger analysis in plain terms: what the two curves mean, which callouts are diagnostics, and why the peak's height is the number to trust least.
How to segment Gabor Granger results (and when to build two plans)
How to segment Gabor Granger results, read the split by group, and tell when a gap between groups means two plans instead of one price.
How to choose your Gabor Granger price points (range, interval and the 10% check)
Gabor Granger price points decide your answer before anyone votes. Which fields to set, where a range comes from, and the 10% check that catches a bad one.
Free Gabor Granger template: questions, price ladder and analysis (Google Sheets)
Copy the three Gabor Granger questions, build your price ladder and branch map, and turn yes/no votes into an optimal price. Free Google Sheets template.
6 common mistakes in Gabor Granger studies (and how to fix each one)
The six mistakes behind most bad Gabor Granger results, three before launch and three after the chart appears, with the fix for each one.
Survey quotas for advanced research (conjoint, MaxDiff, pricing and segmentation)
Survey quotas cap the group that's easy to recruit. How to set them, what to cap for conjoint, MaxDiff and pricing studies, and how many per segment.
Conjoint Analysis vs. Analytic Hierarchy Process (AHP) — Explanations, Differences, Examples, Use Cases
Both rank options across multiple dimensions, but conjoint infers the weights from real choices while AHP asks for them directly. Here's how to pick.
A Practical Guide to Market Simulators in Conjoint Analysis Surveys
A conjoint market simulator predicts what share of customers would pick each plan, plus the revenue and churn behind it. Here's how it works, with a real case study.
Central Tendency Bias in Surveys (And How To Avoid It)
Most guides blame lazy participants. That misses the point. The four real causes of survey straightlining, and the matrix-question alternatives that stop it.
4 Ways to Avoid Matrix Grid Survey Straightlining (With Examples)
Most guides blame lazy participants. That misses the point. The four real causes of survey straightlining, and the matrix-question alternatives that stop it.
The segmentation survey VEED used to refine their Ideal Customer Profile definition
VEED ran a 34-question MaxDiff survey in OpinionX and found its single Ideal Customer Profile was really two segments. The case study, start to finish.
Using MaxDiff Analysis To Measure Customer Concerns (Airbnb Case Study)
When you can't fix every problem at once, MaxDiff tells you which to tackle first. A worked example using the Airbnb Services host backlash.
Steal This Research Playbook from Uber (Conjoint Analysis Case Study)
A real, published four-step research playbook: interviews to find the trade-offs, MaxDiff to rank them, conjoint to price them, testing to ship them. Steal it.
How AI Changed the UX Researcher's Role
AI didn't just speed up UX research, it changed how your colleagues see your role. Leaders now pick the method with AI and hand it to you to run.
Pick The Right Ranking Method For Your Survey: 4 Simple Steps
Four questions to help you pick the right method for your ranking survey, between Conjoint Analysis, Pairwise Comparison, MaxDiff Analysis, Ranked Choice Voting, and Points Allocation ranking.
Best Conjoint Analysis Tools for Mobile Phone Surveys
UX for mobile survey respondents varies wildly between the most popular conjoint analysis platforms. I reviewed 8 of the most popular conjoint tools to assess their responsive design for mobile conjoint research.
Discrete Choice Experiment: Methods, Examples, Tools
A discrete choice experiment is a type of survey that measures the relative importance of a set of options according to a group of people, including conjoint, maxdiff, pairwise comparison, and more.