Kano, Van Westendorp and Gabor-Granger, built in

The market-research classics are native Choicery items: add them to any survey like a Likert question, and each one arrives with its standard analysis. No spreadsheet gymnastics after fieldwork.

How it works. From four typed prices to the price map: the answers are counted into four curves, each crossing is read from its own two questions with linear interpolation, and the acceptable range is shaded only when both edges are unique and in order.

Van Westendorp (Price Sensitivity Meter)

Four price questions per respondent produce cumulative perception curves. Choicery reports uniquely identified intersections as points and preserves equality plateaus as intervals, using the 1976 complement-curve range definition.

PMC and PME: the lower and upper edge of the acceptable price range
OPP: perceptual minimum-resistance balance, not a revenue or profit optimum
IDP: as many find it cheap as expensive
Shaded acceptable range only when PMC and PME are uniquely identified
Optional Newton-Miller-Smith extension: two purchase questions at each respondent's own bargain and expensive price add a calibrated stated purchase likelihood and a revenue index; the weights are adjustable on the results page
Optional qualifying question, so only likely buyers answer the price questions; the results show the qualified share

How it works. The price ladder step by step: a Yes moves one price up, a No one price down, and no price is asked twice. The server replays every answer path, then computes the would-buy share and the revenue index at each tested price.

Gabor-Granger

Gabor-Granger elicits stated purchase intent on a configured ladder of concrete prices. The analysis estimates the stated would-buy share and a revenue index (price × share) at each configured level. A single strongest tested level appears only when the complete ladder is estimable, stated demand is positive, and the maximum is unique.

Estimated stated would-buy share across the configured price ladder
Revenue index across the tested ladder, not a sales or profit forecast
Yes/No or a 5-point purchase-intent scale; with 5 points you choose which answers count as buying and get a second, weighted purchase-likelihood curve
Optional qualifying question, with demand shown among qualified respondents and among all respondents
Directional pricing evidence for one fixed product concept

How it works. Each answer pair is classified with the classic Kano table, counted per feature and turned into Better and Worse scores from A, O, M and I. Ties stay visible instead of being resolved silently, and pair coverage shows how many respondents gave a complete pair.

Kano

The classic paired questions (feature present vs. feature absent) classify every feature by its impact on satisfaction, so a roadmap is not built on "everything is important".

Categories: Attractive, Performance, Must-have, Indifferent (plus Reverse and Questionable)
Better/Worse chart positioning every feature at a glance
Column or stacked question layout, your choice

Strong together

These methods provide focused single-product diagnostics for pricing perceptions, stated purchase intent, and feature classification. When the decision involves trade-offs between attributes, that is what CBC and MaxDiff are for, and all of them can live in the same survey: a Kano battery before the conjoint, a Van Westendorp block after it, one dataset at the end.

Every Kano, Van Westendorp and Gabor-Granger result can be split by a grouping variable: a question, a Latent Class segment or the experimental condition. Up to 12 groups appear side by side, each with its own n and 95% bootstrap intervals.

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