TL;DR — The best pricing survey questions do not just ask "what would you pay?" — they triangulate willingness-to-pay across proven frameworks (Van Westendorp, Gabor-Granger, MaxDiff) and always uncover the value perception behind the number. Below are 35+ copy-paste pricing questions by method. But there is a catch every pricing survey shares: people are unreliable when asked about price in the abstract. Koji closes that gap by running these questions as AI-moderated interviews that probe the why behind each price — so you learn what customers will actually pay, not what they claim. Start free, no credit card required.
Pricing is the highest-leverage number in your business. Research popularized by Price Intelligently found that a 1% improvement in pricing strategy yields roughly an 11% increase in profit for SaaS companies — more than acquisition or retention improvements of the same size. And pricing is getting more sophisticated: an estimated 67% of B2B SaaS companies now combine multiple monetization models to align price with value (Monetizely). Yet most teams still price by gut, competitor-copying, or a single badly-worded survey question.
This guide gives you 35+ pricing survey questions grouped by method — and shows why the reason behind a price is worth more than the price itself.
The rule: never ask price without asking value
The number-one mistake in pricing research is asking "How much would you pay for this?" as a standalone question. Answers are anchored, aspirational, and often meaningless — respondents low-ball to protect their wallet or guess randomly. Reliable pricing research does two things: it uses a structured framework to triangulate a price range, and it uncovers the value perception and alternatives that explain the number. For a deeper primer, see pricing research without a consultant.
Koji supports six structured question types — open-ended, scale, single-choice, multiple-choice, ranking, and yes/no — so you can run any of the frameworks below and automatically probe the reasoning behind each answer in the same conversation.
Method 1: Van Westendorp Price Sensitivity Meter (PSM)
The Van Westendorp PSM maps the range between "too cheap" and "too expensive" using four questions. It is the fastest way to find an acceptable price range and psychological thresholds.
Ask about [product] at what price would it be:
- Too expensive — so expensive you would not consider buying it? (open-ended / numeric)
- Too cheap — so low you would question its quality? (numeric)
- Expensive but still worth considering — starting to feel pricey, but you would think about it? (numeric)
- A bargain — a great deal for the money? (numeric)
Plotting these four curves reveals your range of acceptable prices and the optimal price point. Van Westendorp defines acceptable ranges and market price perceptions — pair it with a demand-based method below to pin down an exact price.
Method 2: Gabor-Granger (purchase intent at explicit prices)
Where Van Westendorp finds a range, Gabor-Granger models purchase intent at explicit prices and lets you estimate a demand curve and revenue-maximizing price.
- At $X per month, how likely are you to purchase [product]? (scale, 0–10)
- (If likely) At $Y, how likely are you to purchase? (scale — price steps up or down based on the prior answer)
- Which of these prices feels fair for the value you would get? (single-choice from a price ladder)
- What would justify paying the higher price? (open-ended — the key value probe)
Method 3: Direct willingness-to-pay & value anchoring
- What do you currently spend to solve this problem today? (open-ended)
- Compared to [alternative/competitor], how should we be priced? (single-choice: much less / a bit less / about the same / a bit more / much more)
- If this product disappeared tomorrow, what would you switch to — and what would that cost you? (open-ended)
- How is this purchase budgeted in your organization? (single-choice: discretionary / team budget / requires approval / no budget)
Method 4: MaxDiff & feature-value trade-offs
To price packages and features, you need to know what customers value most. MaxDiff (best-worst scaling) and conjoint analysis force trade-offs that stated-importance questions can not.
- Of these features, which is most and which is least valuable to you? (MaxDiff — see the MaxDiff software guide)
- Rank these plan features by how much you would pay for them. (ranking)
- Distribute 100 points across these features by how much value each delivers. (constant-sum — see the constant-sum questions guide)
- Which bundle would you choose at these prices? (single-choice — a light conjoint task; deep-dive in the conjoint analysis guide)
For choosing between discrete options, the choice & ranking questions guide covers formats in detail.
Value-perception & positioning questions
These reveal whether your price story lands — the difference between a price that feels expensive and one that feels worth it.
- In your own words, what is the main benefit you would get from [product]? (open-ended)
- How would you describe our pricing to a colleague? (open-ended)
- Does the price match the value you expect? (scale, 1–5)
- What almost stopped you from purchasing at this price? (open-ended)
- Which plan is the obvious right choice for you — and why? (single-choice + open-ended)
Competitive & reference-price questions
- Which alternatives did you consider before us? (multiple-choice / open-ended)
- How does our price compare to what you expected? (single-choice: higher / about right / lower)
- What would make our pricing clearly better value than [competitor]? (open-ended)
Segmentation & qualifier questions
Pricing answers are worthless without knowing who is answering. Always capture:
- Company size / role / budget authority (single-choice)
- How urgent is solving this problem? (scale)
- Are you the person who approves this purchase? (yes/no)
Segment your pricing analysis by these to avoid averaging a bargain-hunter and an enterprise buyer into a meaningless middle. And make sure your sample is large enough — see the survey sample size guide.
The trap of pricing surveys — and how AI interviews fix it
Here is the uncomfortable truth: stated willingness-to-pay is not revealed willingness-to-pay. On a static survey, a respondent who types "$29" gives you a number with no context. Did they compare it to a competitor? Assume a feature you do not offer? Low-ball on reflex? You will never know — the survey can not ask.
This is exactly where Koji changes pricing research. It runs Van Westendorp, Gabor-Granger, and value questions as an AI-moderated conversation that adaptively follows up: "You said $49 feels too expensive — what would need to be true for it to feel worth it?" Those probes are where real willingness-to-pay lives. Every interview then flows through automatic thematic analysis, so the objections, comparisons, and value drivers behind your price cluster into a coded, quote-backed report in one click — no spreadsheet gymnastics.
Because the AI moderator is consistent across every interview, there is no interviewer bias nudging respondents toward a number, and you can interview dozens of prospects in the time a consultant would schedule two calls. That is how you go from a fuzzy price range to a defensible price — in hours, not weeks. The same discipline powers strong win/loss interviews and product-market-fit research.
Best practices for pricing survey questions
- Triangulate, do not trust one method. Cross-check Van Westendorp with Gabor-Granger and real behavior.
- Always ask the value "why." A price without its reasoning is a guess.
- Screen for real buyers. Answers from non-buyers pollute the model.
- Test against alternatives, not in a vacuum — reference prices anchor everything.
- Probe surprising answers. The outliers often reveal the segment you are mispricing. Static surveys can not; AI interviews can.
Find the price customers will actually pay
Pricing survey questions get you a range. The reasoning behind those answers gets you a decision. Koji runs proven pricing frameworks as adaptive AI interviews — capturing the number and the why, then analyzing the value drivers automatically. Start free with 10 credits — no credit card required — and price with evidence instead of instinct.
