pricing-and-packaginglisted

# Pricing and Packaging Turn incomplete market, customer, product, and financial evidence into a testable pricing decision. Keep research findings, economic assumptions, package design, and rollout choices separate so a polished price table does not hide unsupported claims. ## Workflow 1. Define the decision before choosing numbers: - product, target segment, market, currency, and buying context - new offer, periodic review, test, or existing-customer migration - accountable owner, decision date, rollout authority, and reversibility - product promise, primary value event, alternatives, and business objective - known cost, margin, contractual, billing, support, and operational limits 2. Build an evidence register. Separate observed behavior, transaction and usage data, direct customer accounts, researched competitor facts, stakeholder beliefs, modeled assumptions, and unknowns. Never turn missing evidence into confident buyer language, market rates, or willingness to pay. 3. Load [Research and evidence](references/research-and-evidence.md) for willingness-to-pay research, current competitor checks, evidence strength, and a proportionate research plan. Use it before recommending exact prices when decision-relevant evidence is thin. 4. Load [Value metrics and models](references/value-metrics-and-models.md) when selecting the charged unit, comparing subscription, usage, seat, outcome, or hybrid models, or checking how customer value and p