ChatGPT prompt for a pricing strategy

Act as a pricing strategist for [COMPANY AND OFFER]. Build a pricing recommendation for [TARGET CUSTOMER] using the business context and evidence below.

Business context: [BUSINESS CONTEXT]
Current pricing and economics: [CURRENT PRICING AND ECONOMICS]
Market evidence: [MARKET EVIDENCE]
Goal and constraints: [GOAL AND CONSTRAINTS]

First, identify the pricing decision: new-product launch, repositioning, packaging change, increase, discount policy, or renewal. State the value metric that best aligns what customers receive with how cost and value grow; explain why alternatives such as per-seat, usage, transaction, project, or flat-rate pricing fit less well.

Then produce:
1. A one-paragraph diagnosis of the buyer, their costly alternative, and the measurable value this offer creates.
2. A comparison table of three viable pricing architectures. Include package names, who each is for, included limits or features, price, overage or expansion logic, expected upside, and main risk.
3. A recommended architecture with list prices, annual-payment treatment, discount guardrails, grandfathering or migration approach, and a clear rationale grounded only in my inputs.
4. A willingness-to-pay research plan: 6 interview questions, a Van Westendorp or price-sensitivity test where suitable, sample segments, and what decision each result would change.
5. A 30-day rollout plan with owner roles, leading indicators, revenue metrics, and stop conditions.

Do not infer customer demand from a competitor price alone or invent survey results, costs, conversion rates, or willingness-to-pay data. Separate facts, assumptions, and decisions. Before answering, check that every price recommendation can be traced to a stated value, cost, market fact, or labeled assumption; flag any missing unit economics that could reverse the recommendation. Ask up to 3 clarifying questions only if a required input is missing.

Draft a price-increase decision memo for [OFFER] for [CUSTOMER SEGMENT]. Current price is [CURRENT PRICE]; proposed price is [PROPOSED PRICE]; evidence is [EVIDENCE]; contract and notice rules are [CONTRACT RULES]. Produce a one-page memo with rationale, affected cohorts, grandfathering choices, renewal timing, discount exceptions, churn risks, and an approval recommendation. Write a separate customer-message outline, but do not make unsupported savings or value claims. Check that every affected cohort has a transition path and flag legal or contractual questions for counsel.

Design product packaging for [PRODUCT] serving [BUYER SEGMENTS]. Features and usage drivers are [FEATURES AND USAGE]; known customer differences are [SEGMENT EVIDENCE]; constraints are [CONSTRAINTS]. Produce a three-tier package table with a named ideal customer profile, must-have features, limits, upgrade trigger, and sales risk for each tier. Recommend which features should never be used as a paywall because they are required for product trust or adoption. Do not assign prices without evidence; list the research needed to price each tier. Check for feature cliffs that would force customers into an unsuitable plan.

Help price a [SERVICE TYPE] engagement for [CLIENT TYPE]. Scope is [SCOPE]; expected deliverables are [DELIVERABLES]; effort and capacity assumptions are [EFFORT]; client context is [CLIENT CONTEXT]. Produce three fee structures: fixed fee, time-and-materials, and retainer or value-based option where appropriate. For each, state scope boundaries, assumptions, change-order trigger, payment schedule, margin risk, and when it is appropriate. Recommend one structure and draft a concise scope-and-fee section. Do not promise outcomes outside my control. Check that the fixed-fee option contains explicit exclusions and acceptance criteria.