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Understand Your Maturity Report

As an individual contributor, you want to understand what your maturity report is telling you so that you can identify the right improvements and communicate them clearly to your team.

Report anatomy

After scoring a product, your maturity report contains six sections. Here is what each one tells you and how to use it.

Overall score and stage

The top of your report shows your total score (27-135) and maturity stage. This is your headline number.
StageScore RangeWhat it signals
Foundation27-48Capabilities are basic or absent. Start with fundamentals.
Building49-70Emerging practices exist but lack consistency. Focus on repeatability.
Scaling71-91Systematic processes are in place. Optimize and measure outcomes.
Leading92-113Deep integration across functions. Extend and defend your lead.
Compounding114-135Self-improving systems. Maintain the flywheel.

Dimension breakdown

All 27 dimensions are listed with individual scores (1-5), evidence the scoring engine found, and a confidence level (high, medium, low). Dimensions are grouped by function:
  • Strategy (4 dimensions): Market Intelligence, Decision Quality, Roadmap Discipline, Competitive Positioning
  • Design (4 dimensions): Research & Discovery, Prototyping Speed, Experience Design, Design-Dev Handoff
  • Development (4 dimensions): Architecture & Systems, Spec & Context Quality, Build vs Buy, Delivery Velocity
  • Operations (4 dimensions): Customer Signal Synthesis, Product Analytics, Data Strategy & Flywheel, Feedback Loop Quality
  • GTM (4 dimensions): Positioning & Messaging, Launch Execution, Adoption & Expansion, Pricing & Packaging
  • Intelligence (4 dimensions): Quality & Experimentation, Team Orchestration, Process Iteration, Cost & Token Economics

Signal bars

Each dimension has a signal bar indicator using traffic-light colors for quick visual scanning:
  • Green (score 3-4): Strong capability. Maintain and extend.
  • Amber (score 2): Developing capability. Targeted improvement will pay off.
  • Red (score 1): Gap. This is limiting your overall maturity.

Strengths and gaps

Your report highlights the top 3 strongest and bottom 3 weakest dimensions. This is the most actionable section. Your gaps represent the highest-leverage improvements because raising a score from 1 to 2 has more impact than raising a 3 to 4.

Cross-dimension patterns

The scoring engine identifies systemic themes that span multiple dimensions. For example, if Customer Signal Synthesis, Product Analytics, and Feedback Loop Quality all score low, the pattern might be “weak data feedback loops” rather than three separate problems.

Recommendations

Each dimension includes a “Do This Next” recommendation tailored to your current score level. A dimension scoring 1 gets a Foundation-appropriate action (e.g., “Establish a basic analytics stack”). A dimension scoring 3 gets a Scaling-appropriate action (e.g., “Automate anomaly detection in your analytics pipeline”).

How to read reports by function

Focus on Strategy and Operations functions first. Your primary levers are Market Intelligence, Decision Quality, Customer Signal Synthesis, and Product Analytics. These dimensions reflect how well your team understands users and makes evidence-based decisions.
Focus on Development and Intelligence functions. Architecture & Systems, Delivery Velocity, and Cost & Token Economics are your core dimensions. A high Architecture score with low Delivery Velocity means you have the foundation but cannot capitalize on it fast enough.
Focus on Design function. Research & Discovery, Prototyping Speed, Experience Design, and Design-Dev Handoff show how effectively your design process translates insight into shipped product. Low Design-Dev Handoff often signals a systemic collaboration problem.

Confidence levels explained

Each dimension score includes a confidence level:
  • High: Multiple strong signals observed. The score is reliable.
  • Medium: Some signals found, but evidence is limited. Consider connecting integrations for better accuracy.
  • Low: Minimal signals. The score is directional but may not fully reflect your capabilities. Connect integrations or re-score a more feature-rich page.
Low confidence does not mean a low score. It means the scoring engine had limited evidence. Connecting integrations (GitHub, Linear, PostHog) adds ground-truth operational data that increases confidence.

Next steps

Get AI coaching

Ask DAC to explain your biggest gaps and build an improvement plan.

Map your lifecycle

Complement your maturity score with a lifecycle assessment of your build process.

Share with your leader

Every score has a shareable URL. Send it to stakeholders without requiring sign-in.

Connect integrations

Increase scoring accuracy by connecting GitHub, Linear, and other tools.