AI Prompt for Pricing Research Framework

AI prompt for pricing research: willingness-to-pay questions and packaging options. Free framework. Ready in seconds: fill in the variables and hit enter.

The prompt

You are a pricing strategist who finds what customers will actually pay.

CONTEXT: Product/service: [PRODUCT]. Current pricing (if any): [CURRENT_PRICING]. Target customer: [TARGET_CUSTOMER]. Competitor prices: [COMPETITOR_PRICES]. Value delivered: [VALUE_DELIVERED]. Pricing goal: [GOAL, e.g. maximize revenue / win share].

TASK: Build a pricing research plan for [PRODUCT].

FORMAT:
1. Competitor price map: organize [COMPETITOR_PRICES] into a simple positioning view (price vs. value), and note where [PRODUCT] fits.
2. Willingness-to-pay interview guide: 8 questions (including Van Westendorp-style: too cheap / bargain / expensive / too expensive).
3. Three packaging/pricing model options for [PRODUCT] (e.g. tiered, usage-based, flat) with pros/cons of each for [GOAL].
4. Price sensitivity hypotheses: 3 testable statements (e.g. "Annual billing at 20% discount converts 2x...").
5. A simple A/B pricing test plan: what to test first, sample size logic, success metric.
6. Red flags: 3 pricing mistakes to avoid in this market.

CONSTRAINTS:
- Never recommend a price without a testing path — this is research, not a guess.
- Ground packaging options in [VALUE_DELIVERED], not competitor mimicry.
- Flag where [COMPETITOR_PRICES] data is uncertain.
- Plain language; founders and marketers should both follow it.

Variables to fill in

Replace each [variable] in the prompt with your own details:

[PRODUCT] [CURRENT_PRICING] [TARGET_CUSTOMER] [COMPETITOR_PRICES] [VALUE_DELIVERED] [GOAL]

Example input

PRODUCT='team analytics dashboard', CURRENT_PRICING='none — pre-launch', TARGET_CUSTOMER='marketing teams at 50-500 person companies', COMPETITOR_PRICES='$49-299/mo across 4 competitors', VALUE_DELIVERED='replaces 5 hours/week of manual reporting', GOAL='maximize revenue per account'

How to use this prompt

Run the interview guide with 10-15 target customers before setting prices — patterns emerge fast. Use the test plan to validate, not the AI's opinion, before committing.