B0447: Revenue Model Optimization Decision Framework

Context

Context: Decision frequency is high, but inconsistent definitions of LTV and payback period weaken accountability. Under pricing flexibility limits, delayed decisions directly reduce execution windows. A one-page standard is required so stakeholders can evaluate options quickly while preserving traceability and governance.

Options

• Option A: Preserve the status quo to protect delivery stability. Operational burden is small, but long-run optimization potential is constrained.
• Option B: Deploy in phases, track LTV and payback period, and expand scope only after evidence is confirmed. This balances risk and execution speed.
• Option C: Introduce a single-wave overhaul of process and governance. Expected gains are sizable, though implementation resilience must be much stronger.

Decision

Decision: Option B is approved for phased execution. Anchor decisions to agreed metrics and expand coverage only after risk controls pass checkpoint reviews.

Rationale

Rationale: Option B provides measurable learning while staying within pricing flexibility limits. It supports progressive adjustment of the profitability vs growth investment balance, improves stakeholder alignment, and limits downside if assumptions fail. The phased structure also reduces coordination overhead and strengthens repeatability for future decisions.

Risks

• Weak instrumentation makes it impossible to compare outcomes and undermines the credibility of the decision process.
• If ownership and deadlines are unclear, execution drifts and teams revert to siloed decision criteria.

Next

Next actions: Confirm stage-gate conditions, measurement ownership, and exception handling. Preserve decision records so the model can be reused consistently.