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ProductLab AI
Product management portfolio · working software

From business problem
to product strategy
to measurable impact.

ProductLab AI is an industry-adaptive workspace for turning business challenges into evidence-based strategy, prioritized opportunities, buildable requirements and measurable outcomes — with an AI requirements copilot that is governed, logged and always human-approved.

Six connected modules

Every initiative traces back to the opportunity and evidence that justified it.

  1. 01Discover

    Problem, personas, journey, evidence with honest classifications

  2. 02Strategize

    RICE scoring, overrides that require a reason, roadmap

  3. 03Design

    Current vs. future journey, flows, UX & accessibility criteria

  4. 04Build

    Versioned PRDs, AI copilot, epics, stories, releases

  5. 05Measure

    KPIs, instrumentation, experiments — provenance on every number

  6. 06AI Governance

    Prompt versions, token cost, guardrails, human approval

Choose an industry

Industries are configuration, not code: terminology, journey stages, KPIs, opportunities and regulatory review areas. FinTech & Trading has a complete case study; the others are working templates — not fabricated case studies.

What is real, and what is not

Real
  • • The application: ASP.NET Core API, PostgreSQL, Next.js front end
  • • Persisted workflows: scoring, overrides, versioning, approvals, publishing
  • • The AI copilot pipeline: schema validation, guardrails, logging, cost controls
  • • ProductLab’s own anonymised usage analytics
  • • Automated tests and their recorded results (see TESTING.md in the repository)
Fictional
  • • Northstar Brokerage and its personas, data and roadmap
  • • RICE inputs, funnel baselines and KPI targets (labelled hypothetical / synthetic / proposed)
  • • No interviews, usability sessions or launches have taken place
  • • Not affiliated with, or based on research at, any real brokerage