Screener questions that reveal the qualifying answer invite lies: 83% in one study. How to hide the target, and how screening out works on OpinionX.

How to run Van Westendorp and Gabor Granger in one survey: what each adds, which goes first, the build steps, and how to combine them into one price.

Gabor Granger tools compared on what changes your data: how the next price is picked, random first prices, prescreeners, segments and billing.

Gabor Granger price search compared: sequential, random and binary search, how many questions each takes, and why the first price matters.

A free Gabor Granger sample size calculator, plus the reasoning: 100 people for a direction, 300 for a confident price, 100 per segment.

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.

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, read the split by group, and tell when a gap between groups means two plans instead of one price.

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.

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.

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 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.

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 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.

Most guides blame lazy participants. That misses the point. The four real causes of survey straightlining, and the matrix-question alternatives that stop 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.

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.

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.