Leveraging Product Economics Data to Optimize Your Solution Roadmap
When GenAI solutions scale, small economics issues can become big problems: costs rise faster than expected, high-usage features aren’t the highest-value, and pricing doesn’t match what customers actually consume. This workshop helps you quantify profitability, compare ROI across solution variants, evaluate cost-versus-usage tradeoffs, and use product economics to prioritize roadmap changes and inform pricing and packaging decisions.
If you don’t understand the economics, you can’t reliably decide what to improve—or what to stop investing in.
Teams often have usage signals, but not the economic clarity needed to optimize confidently.
- Unit economics are unclear: Leaders can’t easily explain what it costs to deliver the solution—and whether it’s profitable at scale.
- ROI is hard to compare: Without consistent modeling, it’s difficult to choose between variants, tiers, or feature paths.
- Costs and usage are misaligned: High-usage features may be expensive to deliver without driving proportional value or revenue.
The result is a roadmap shaped by assumptions—while margin, pricing fit, and investment focus drift over time.
We guide your team through a practical, business-first approach to use product economics to sharpen roadmap decisions.
- Profitability Model Baseline: Establish a clear view of cost-to-serve and profitability drivers for the solution.
- ROI Comparison Across Variants: Evaluate ROI across tiers, bundles, or delivery approaches to support defensible prioritization.
- Cost vs. Usage Tradeoff Analysis: Identify where usage patterns create cost pressure and where optimization will have the highest leverage.
- Economics-Driven Roadmap Prioritization: Translate insights into a prioritized set of roadmap actions tied to measurable economic impact.
- Pricing and Packaging Implications: Use economics signals to refine pricing, packaging, and value messaging in a way stakeholders can support.
- Quantifying GenAI Solution Profitability
- Modeling ROI Across Product Variants
- Evaluating Feature Cost vs. Usage Tradeoffs
- Driving Strategic Decisions from Econ Data
- Linking Economics to Pricing and Packaging
- Define the key economic measures that will guide roadmap decisions (profitability, cost-to-serve, ROI)
- Produce a baseline view of where value is created—and where costs concentrate—across the solution
- Identify the top cost-versus-usage mismatches that should drive near-term optimization priorities
- Create a prioritized roadmap shortlist tied to clear economic rationale and decision thresholds
- Document pricing and packaging recommendations informed by economic signals and customer usage patterns
Who Should Attend:
Solution Essentials
Virtual or in-person
4 Hours
Intermediate
Standard collaboration tools (shared docs/whiteboard and slides)