How Product Intelligence works

Product Intelligence exists because most product analysis stops at features and misses behaviour.

After 15 years working across sports tech, betting, and fitness, the same patterns repeat. Products retain users not because they are clever, but because they shape judgement, identity, and habit.

This system captures those patterns and pressure-tests them across category-defining products.

The Framework

I have spent 15 years analysing why products retain, scale, or quietly fail.

The framework is not a scorecard. It is a way of identifying where behavioural strength compounds and where it breaks.

Retention (0-10)

How effectively the product creates and sustains usage.

  • Activation: First-use experience and early success
  • Engagement: Daily / weekly behaviour loops
  • Commitment: Switching costs and lock-in
  • Advocacy: Organic sharing and pull
  • Meaning: Emotional and identity value

Monetization (0-10)

How efficiently the product converts usage into revenue.

  • Pricing power: Ability to charge without resistance
  • ARPU potential: Revenue per user at scale
  • Unit economics: Margin structure and sustainability

Innovation (0-10)

How the product competes over time.

  • Product velocity: Speed and consistency of improvement
  • Differentiation: Defensibility versus alternatives
  • Market leadership: Category influence and direction setting

Sentiment (0-10)

How users actually feel about the product.

  • Satisfaction patterns: Recurring praise and complaints
  • Category-adjusted ratings: Performance relative to peers
  • Trust signals: Reliability, fairness, and confidence

Scores are comparative, not absolute. They reflect behavioural strength relative to category norms.

The Process

The process is designed to be repeatable without flattening judgement.

Step 1

Data Collection (AI-Assisted)

Public signals are gathered at scale, including:

  • App store reviews and recurring themes

  • Product mechanics and interface design
  • Pricing models and tiers
  • Positioning and messaging
  • Competitive context
Step 2

Framework Application (AI-Executed)

Each product is evaluated against the same behavioural lens.

This allows patterns to be compared across categories rather than analysed in isolation.

This reads calmer and more confident.

Step 3

Insight Generation (AI + Human)

Structured analysis is generated to surface leverage points and failure modes.

I review, edit, and refine the strategic conclusions.

Step 4

Validation (Human)

Every report is checked for:

  • Accuracy
  • Coherence
  • Strategic validity

Nothing is published without human review.

What Scales

  • Synthesising public data at scale
  • Applying the framework consistently
  • Structuring analysis clearly
  • Surfacing cross-category patterns

What Does Not Scale

  • Creating the framework
  • Deciding what matters strategically
  • Replacing judgement or experience
  • Substituting for custom consulting work

AI compresses time. It does not replace thinking.

The Result

Product Intelligence delivers competitive insight that would typically require:

  • $25k–$50k in consulting fees
  • Weeks of manual analysis
  • Access to proprietary behavioural frameworks

Available instantly for $299/year.

For bespoke strategy, workshops, or hands-on product work, I still offer consulting.

Frequently Asked Questions about SGX Studio

Here are a few common questions I get from new partners about the process and value of product design.

No. This is a systematised application of a behavioural framework developed over 15+ years. The framework does not exist in products like ChatGPT.

For the same reason architects use CAD instead of drafting by hand. AI allows expertise to scale without sacrificing consistency or rigour.

These reports are automated competitive intelligence. Consulting is custom strategic work: workshops, product blueprints, and direct problem-solving.

The insights are applications of proven behavioural principles. AI structures the analysis. The judgement comes from experience, including work with companies like Fanatics.

That’s what consulting is for. Email hello@sgx.studio to discuss custom work.