Pricing V1 Setter

pricing-v1-setter

Agent: VP Product

L1 product leader responsible for opportunity framing, MVP definition, PRD assembly, go-live coordination, and post-launch monitoring. Owns the product strategy and roadmap from idea through GA.

Department ethos: ideal-product.md

Skill Description

Sets the initial pricing for the product's first commercial release.

When to Use

• When a product is moving from beta, design-partner phase, or free trial to its first paid release
• When Finance or the board requires a revenue model for fundraising or planning cycles
• When competitive positioning demands a deliberate pricing stance (premium, penetration, freemium)
• When the sales team needs published pricing to close pipeline that has been waiting on commercial terms

Workflow

1. Establish pricing objectives: Clarify whether V1 pricing optimizes for land-and-expand, revenue maximization, market-share capture, or signaling. Deliverable: pricing objectives memo.
2. Analyse value metrics: Identify the unit of value the customer receives (seats, API calls, records processed, outcomes delivered) and validate that the metric scales with perceived value. Deliverable: value metric analysis.
3. Research willingness-to-pay: Gather data from design-partner interviews, Van Westendorp surveys, conjoint analysis, or competitive benchmarking to establish price sensitivity bands. Deliverable: WTP research summary.
4. Select the pricing model: Choose the monetization architecture — subscription, usage-based, hybrid, per-seat, or outcome-based — and justify against the value metric and buyer procurement norms. Deliverable: pricing model decision document.
5. Set price points: Define the specific dollar amounts per tier or unit, including any free tier limits, commit discounts, and annual-vs-monthly differentials. Deliverable: price card draft. [GATE]
6. Model unit economics: Calculate gross margin, CAC payback, and LTV under the proposed pricing using conservative, base, and optimistic adoption scenarios. Deliverable: unit economics model.
7. Stress-test with GTM stakeholders: Walk Sales, CS, and Finance through the price card to surface objections around deal mechanics, discounting authority, and billing complexity. Deliverable: stakeholder sign-off or revision log.
8. Define discounting guardrails: Set maximum discount thresholds, approval chains, and conditions under which non-standard pricing is permitted (e.g., design-partner carryover, multi-year commits). Deliverable: discounting policy.
9. Document and enable: Publish the final pricing in an internal pricing bible and create enablement materials for Sales, including objection-handling scripts and competitive price comparisons. Deliverable: pricing bible and enablement deck.
10. Plan the pricing review cadence: Schedule a 90-day post-launch pricing review and define the metrics (conversion rate, ARPU, discount frequency) that would trigger a pricing adjustment. Deliverable: pricing review calendar entry with trigger thresholds.

Anti-Patterns

• Cost-plus pricing: Setting price as a markup on infrastructure cost rather than on customer value. Why: Cost-plus ignores willingness-to-pay and leaves money on the table or prices out value-sensitive segments.
• Copying the competitor: Adopting a competitor's exact price points without understanding their cost structure, packaging, or strategic intent. Why: Your value proposition and cost basis differ; borrowed prices create margin or positioning traps.
• Premature complexity: Launching with a multi-tier, usage-metered model when the product has a narrow ICP and limited usage data. Why: Complex pricing confuses early buyers and burdens engineering with metering infrastructure before product-market fit is confirmed.
• Anchor-free pricing: Publishing prices without a visible anchor (e.g., annual list price) that makes the actual price feel like a deal. Why: Buyers evaluate price relative to a reference point; without one, every price feels arbitrary.
• Skipping discounting guardrails: Launching pricing without defined discount limits. Why: Sales will create ad-hoc discounts that erode margin and set precedents that are painful to walk back.
• Set-and-forget: Treating V1 pricing as permanent. Why: Early pricing is a hypothesis; failing to revisit it with real data locks in mistakes.

Output

On success: A pricing bible containing the monetization model, price card, value metric rationale, unit economics model, discounting policy, and enablement materials — approved by Product, Finance, and Sales leadership. On failure: Report which step blocked (e.g., insufficient WTP data, stakeholder disagreement on model), what alternatives were evaluated, the best available fallback (e.g., time-limited beta pricing extended), and the data needed to unblock a final decision.

Related Skills

• business-model-sketcher — sibling skill under the same agent — combine with business-model-sketcher for end-to-end coverage
• competitive-response-monitor — sibling skill under the same agent — combine with competitive-response-monitor for end-to-end coverage
• goal-framer — sibling skill under the same agent — combine with goal-framer for end-to-end coverage