Sep 9, 2025

Product Cluster: simulate Feature ROI, pricing and launch scenarios

by

Leonardo Bornhäußer

aerial view of boat on water
aerial view of boat on water

Product Cluster: simulate Feature ROI, pricing and launch scenarios

Introduction: product decisions are always bets

As a product manager, you constantly face questions that decide success or failure:

  • Which feature is really worth it?

  • How will a new price change demand?

  • Is the market ready for our next launch?

Too often, these calls still rely on gut feel or incomplete data. With the cNode Product Cluster you get a new approach: simulate Feature ROI, pricing and launch scenarios — transparently, explainably and data-driven.

What is the Product Cluster?

The Product Cluster is your decision layer for product management and innovation. It connects internal data (e.g., roadmaps, usage, pricing tests) with external market and demand indicators.

What you get:

  • Goal models: ROI calculation for features, pricing elasticity, demand forecasts

  • Scenarios: best/base/worst-case analyses for launches

  • Explainability: clear logic for why a scenario turns positive or negative

Typical goal models in the Product Cluster

  • Product–market fit score → measures user and market acceptance

  • Feature ROI → shows whether a feature pays off economically

  • Pricing elasticity → reveals how strongly demand reacts to price changes

  • Demand forecast → projects demand over time windows

  • Launch scenarios → compares different go-to-market strategies

Your benefits

  • Clarity: prioritise features by measurable ROI

  • Confidence: test pricing strategies before they fail in market

  • Agility: adapt launch scenarios on the fly

  • Transparency: SHAP analyses surface the key drivers — e.g., user acceptance, marketing budget, market size

👉 Example: “What happens if we cut price by 10% and launch a new feature at the same time?” — the Product Cluster instantly simulates demand, revenue impact and ROI.

Real-world use cases

  1. Scale-ups: test pricing options before international rollout

  2. Enterprises: weigh up if a feature is worth the development effort

  3. Start-ups: understand how PMF and monetisation evolve together

Conclusion: build products with decision intelligence

With the Product Cluster, product decisions become clearer, faster and better-founded. Instead of gut feel, you decide based on scenarios that make ROI, pricing and launch upside transparent.

👉 Want to see which feature really pays off — or how pricing changes affect demand? Start a Product pilot now.

Discover more posts

Stay up to date with our latest articles on data-driven planning, AI-driven scenario management, and best practices from real-world use of cNode.