Articles
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When Human Review Becomes the Bottleneck: Capacity Planning for AI Workflows
Build a defensible human review staffing model for AI workflows with risk bands, SLA capacity, backlog sensitivity, sampling, and clear overflow rules.
Reverse Trials for SaaS: How to Downgrade Without Breaking Trust
Learn when a reverse trial fits a SaaS product, how to design a safe downgrade to free, and which cohorts, events, and guardrails protect trust.
Outcome-Based Pricing for AI Agents: Define the Result Before the Invoice
Learn to price AI agents per verified outcome using acceptance rules, reversal windows, margin math, anti-gaming controls, and clear invoice logic.
A PQL Score Sales Can Trust: Events, Fit, Decay, and Thresholds
Build a PQL scoring model sales can trust with event definitions, fit, time decay, exclusions, SQL, backtests, calibrated thresholds, and review.
Design Partner Qualification: How to Spot a Free-Pilot Customer
Learn how to qualify design partners before a B2B co-build starts. Use a practical scorecard to separate commitment from free-pilot intent early.
How to Measure Feature Adoption Before Analytics Is Instrumented
Measure feature adoption before analytics exists using database queries, audit logs, CRM evidence, manual cohorts, and confidence grades for sound decisions.
How to Synthesize 3–8 Product Discovery Interviews Without Overclaiming
Learn product interview synthesis from 3–8 discovery calls: build a B2B evidence matrix, expose contradictions, label confidence, and make decisions.
Teaching Product Craft the Way Musicians Learn
Learn how deliberate practice can reshape product education through drills, repertoire, feedback loops, and assessment that tests execution.
Product Simulation Under Regulatory Constraint: Training Better Judgment
A practical guide to product simulation for regulated products, showing PM trainers how to model rules, trade-offs, and accountable decisions under pressure.
From Product Simulator to Interview-Ready Product Judgment
Practice product judgment before the interview loop with product simulators that test trade-offs, economics, stakeholder framing, and evidence.
5 Ways AI Analytics Elevates Your iGaming Experience
Explore how AI analytics transforms iGaming with enhanced player engagement, better insights, and optimized operations.
A Beginner's Guide to AI Strategies for iGaming at SBC Summit 2026
Explore essential AI strategies for iGaming at SBC Summit Learn key insights, practical applications, and trends for effective implementation.
AI at SBC Summit Lisbon 2026: What to Expect
A preview of how AI is reshaping iGaming, ahead of SBC Summit Lisbon 2026 (29 September – 1 October 2026, Feira Internacional de Lisboa & MEO Arena).
Inside the iGaming Personalization Ecosystem
Inside the iGaming Personalization Ecosystem: Third-Party AI Platforms, Vendor Categories, and Competitive Positioning iGaming is one of the most persona
A founder’s field guide to building music-tech in Europe
A founder’s field guide to building music-tech in Europe: Portugal as a launchpad, and Music Tech Hub Portugal as one of the ecosystem “accelerators” Music-t
Unit Economics Calculator & Metrics Playbook by Lifecycle
Unit Economics Calculator & Metrics Through the Product Lifecycle Unit economics is often taught as a static set of formulas. In practice, it behaves like a
A/B Testing in the AI Era for Lean Startups
A/B Testing in the AI Era for Lean Startups A/B testing in the AI era is most effective when it stops being “two screens competing” and becomes a disciplined
Product Manager Assessments: Modern Formats & Rubrics
Product Manager Assessments in Modern Hiring Product Manager assessments have evolved into practical evaluations of how you operate: how you translate ambigu
Business Strategy Blueprint: Lean, AI, Unit Economics
Business Strategy Blueprint for Lean, AI, and Profitable Growth Business strategy is increasingly less about producing a convincing narrative and more about
AI Governance in Practice: Designing Trustworthy Systems
AI Governance in Practice: How to Design Trustworthy Systems That Scale AI governance is often treated as paperwork: principles, policies, checklists, and co