The RAVI Framework

Engineering performance isn't binary (On Time vs. Late). RAVI calculates a team's Reliability Score using a mathematical model adapted from biochemistry: The Hill Equation.

• Scientific Origin Originally formulated to describe how molecules bind in the human body, RAVI adapts this model to describe the relationship between delivery delays and reliability.
• Weighted Delays Not all delays are created equal. RAVI applies an adjustable "strictness" factor to model how delays impact predictability.
• The Sigmoidal Curve Small deviations are absorbed, but as delays compound, the framework identifies the "inflexion point" where delivery confidence plummets.

RAVI replaces "best guess" estimations with Monte Carlo Simulations. By analysing historical throughput and volatility, the framework moves away from single-date promises to risk-adjusted confidence intervals.

• Data-Driven Timelines If a project requires 20 units of work and the team averages 10 every two weeks, RAVI doesn't just blindly say "four weeks."
• Confidence Intervals It provides a range (e.g., 3–5 weeks) with a specific confidence percentage (e.g., 80%) based on the team's unique reliability profile.

To ensure engineering effort is spent on the right things, RAVI automatically categorises all work into three distinct tiers:

• Basics (BaU) Foundation work (Auth, Access Control) that is required but doesn't drive sales.
• Table Stakes (KTLO) Domain-specific features that customers expect, but aren't unique to your product.
• Value Creation (Productive Work) Your "Secret Sauce." This is the core differentiator that wins deals and retains customers, such as high-performance AI or superior UX.

RAVI translates engineering effort into a dollar amount using Innovation Accounting. It ties technical output to financial data (e.g., Stripe, CRM) to determine the Risk-Adjusted Value of the roadmap.

• Direct Value Exact ROI for work tied directly to closed deals.
• Projected "Bets" Calculated value for growth initiatives (e.g., NRR expansion) weighted by business confidence.
• The Cost of Tech Debt RAVI quantifies "carried debt" as a percentage of business value (e.g., $100K debt against $1M MRR), allowing leadership to make data-driven decisions on when to pivot from features to maintenance.