01 · Product foundations
Problem framing, outcomes, constraints, product judgment and decision logs.
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Write a one-page problem brief with three non-goals.
Problem brief + decision log
Open →02 · Research & validation
Interview design, evidence quality, demand tests and falsifiable hypotheses.
Open →Synthesize five interviews into evidence, contradictions and a decision.
Research synthesis
Open →03 · UX/UI
Critical journeys, information architecture, accessibility and prototype testing.
Open →Prototype the activation flow and run three usability sessions.
Prototype + test notes
Open →04 · Generative AI
Use-case selection, prompting, context, tool use, evaluations, safety and fallback design.
Open →Create a 20-case eval set and document two failure mitigations.
Eval set + scorecard
Open →05 · Build with code, no-code & AI
Stack selection, vertical slices, AI-assisted coding, no-code boundaries and quality gates.
Open →Ship one vertical slice with acceptance criteria and rollback notes.
Working vertical slice
Open →06 · Architecture & APIs
Boundaries, data flow, APIs, integrations, queues and failure handling.
Open →Draw the system and specify one API including errors and idempotency.
Architecture + API contract
Open →07 · Data & analytics
Schemas, event design, experiments, dashboards and decision-quality metrics.
Open →Define activation, retention and guardrail events for your product.
Analytics plan
Open →08 · Security & trust
Threat modeling, auth, authorization, privacy, abuse, secrets and incident basics.
Open →Threat-model the core flow and close the three highest-risk gaps.
Threat model + mitigations
Open →09 · Launch & acquisition
Positioning, launch plan, channels, loops, instrumentation and learning cadence.
Open →Run a seven-day launch experiment with a pre-defined success threshold.
Launch report
Open →10 · Retention & monetization
Retention diagnosis, lifecycle loops, pricing, packaging, paywalls and ethical monetization.
Open →Design a value metric, packaging test and a no-dark-pattern cancellation path.
Pricing + retention experiment
Open →Frame before you build
Problem framing, outcomes, constraints, product judgment and decision logs.
Open →Evidence over opinions
Interview design, evidence quality, demand tests and falsifiable hypotheses.
Open →Design the critical path
Critical journeys, information architecture, accessibility and prototype testing.
Open →Build AI you can evaluate
Use-case selection, prompting, context, tool use, evaluations, safety and fallback design.
Open →Choose the shortest credible build path
Stack selection, vertical slices, AI-assisted coding, no-code boundaries and quality gates.
Open →Architecture for change
Boundaries, data flow, APIs, integrations, queues and failure handling.
Open →Measure decisions, not activity
Schemas, event design, experiments, dashboards and decision-quality metrics.
Open →Trust is a product requirement
Threat modeling, auth, authorization, privacy, abuse, secrets and incident basics.
Open →Launch to learn
Positioning, launch plan, channels, loops, instrumentation and learning cadence.
Open →Earn the right to monetize
Retention diagnosis, lifecycle loops, pricing, packaging, paywalls and ethical monetization.
Open →Product review operating system
A repeatable review agenda, decision log and evidence checklist.
Open →AI evaluation playbook
Build stable eval sets, scorecards, fallback criteria and incident notes.
Open →Measured launch checklist
Instrumentation, thresholds, rollback and learning cadence before launch.
Open →AI watch · Evaluation before model upgrades
When a model or tool changes, rerun a stable task-specific eval set before adopting it. This is an editorial practice brief, not a claim about a specific provider release.
Open →Product watch · Privacy changes belong in the data map
Track regulatory and platform changes against data collection, retention and deletion flows before they become launch blockers.
Open →Growth watch · Channel shifts need a fresh baseline
Treat material channel changes as new experiments: reset assumptions, remeasure unit economics and keep attribution limitations visible.
Open →BuilderPath Product Builder assessment prep
Editorial preparation based on the BuilderPath skill map and portfolio evidence.
Open →External product certification · neutral prep
Practice product reasoning without copying or asserting third-party official requirements.
Open →External AI foundations certification · neutral prep
Practice evaluation, architecture and safety concepts while keeping official requirements separate.
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