Product Management Tests

A/B Testing + GA4 — Intermediate

Aligning experiment design with GA4: primary metrics and key events, variant tracking, consent gaps, session vs assignment splits, and attribution pitfalls when comparing test results to analytics reports.

User Interviews + A/B Testing — Intermediate

Connect qualitative discovery to experiment design: from interview synthesis and testable hypotheses to metrics, audience fit, guardrails, and interpreting A/B results against user evidence.

Platform Thinking — Advanced

Advanced platform strategy: envelopment, governance conflicts, complement innovation, and anti-patterns. Mix of single-answer and multiple-answer items.

Platform Thinking — Intermediate

Platform design in practice: seeding sides, governance, APIs, and monetization trade-offs. Mix of single-answer and multiple-answer items.

Platform Thinking — Beginner

Foundations of platforms versus products: sides, network effects, and when platform strategy fits. Mix of single-answer and multiple-answer items.

Competitive Analysis — Advanced

Advanced competitive strategy: ecosystems, second-order effects, war-gaming, and ethical intelligence. Mix of single-answer and multiple-answer items.

Competitive Analysis — Intermediate

Structured competitive work: battlecards, buyer criteria, moats, and turning intel into roadmap bets. Mix of single-answer and multiple-answer items.

Competitive Analysis — Beginner

Basics of competitor mapping: who counts, what to compare, and how insights inform product decisions. Mix of single-answer and multiple-answer items.

Product Vision — Advanced

Advanced vision craft: portfolio coherence, multi-sided narratives, principle systems under conflict, and governing vision through scale and M&A. Mix of single-answer and multiple-answer items.

Product Vision — Intermediate

Operationalizing vision: principles, strategy links, communication rituals, and resolving conflicts with OKRs and roadmaps. Mix of single-answer and multiple-answer items.

Product Vision — Beginner

What a product vision is for: audience, clarity, principles, and how vision differs from roadmap features. Mix of single-answer and multiple-answer items.

A/B Testing — Advanced

Advanced experimentation: interference, switchback/cluster designs, sequential testing, heterogeneous effects, and decision quality under uncertainty. Mix of single-answer and multiple-answer items.

A/B Testing — Intermediate

Power, sample size, novelty effects, SRM, multiple metrics, and interpreting practical vs statistical significance. Mix of single-answer and multiple-answer items.

A/B Testing — Beginner

Basics of experiments: control vs treatment, primary metrics, random assignment, and common beginner mistakes. Mix of single-answer and multiple-answer items.

Funnel Metrics — Advanced

Advanced funnel systems: selection effects, incrementality, multi-sided loops, measurement breaks, and portfolio optimization. Mix of single-answer and multiple-answer items.

Funnel Metrics — Intermediate

Applied funnel analysis: windows, cohorts, activation design, channel mix, and diagnosing leaks with experiments. Mix of single-answer and multiple-answer items.

Funnel Metrics — Beginner

Funnel fundamentals: conversion, activation, retention, drop-off diagnosis, and common metric mistakes. Mix of single-answer and multiple-answer items.

North Star Metric — Advanced

Advanced NSM design: causal loops, portfolio trade-offs, gaming detection, multi-sided products, and executive alignment. Mix of single-answer and multiple-answer items.

North Star Metric — Intermediate

Choosing, validating, and operationalizing an NSM: inputs, guardrails, segmentation, and anti-patterns. Mix of single-answer and multiple-answer items.

North Star Metric — Beginner

What a North Star Metric is, how it differs from vanity metrics, and how teams use it day to day. Mix of single-answer and multiple-answer items.

Agile for PMs — Advanced

Advanced agile product leadership: multi-team coordination, outcome-based goals, flow metrics, discovery/delivery dual track, and anti-patterns under scale.

Agile for PMs — Intermediate

Agile delivery for PMs: refining backlogs, writing crisp acceptance criteria, protecting sprint goals, and using feedback loops without becoming a feature factory.

Agile for PMs — Beginner

Agile basics for product managers: backlog hygiene, sprint goals, user stories, acceptance criteria, and ceremony intent. Mix of single-answer and multiple-answer items.

Prioritization — Advanced

Advanced prioritization under uncertainty: portfolio allocation, Cost of Delay nuance, scoring governance, and executive trade-offs across competing strategies.

Prioritization — Intermediate

Applied prioritization: RICE/WSJF trade-offs, scoring pitfalls, stakeholder negotiation, and sequencing under dependencies and uncertainty.

Prioritization — Beginner

Foundations of product prioritization: value vs effort, RICE basics, opportunity cost, and saying no with clear criteria. Mix of single-answer and multiple-answer items.

Roadmap Planning — Advanced

Advanced roadmap leadership: portfolio trade-offs, confidence-based commitments, multi-team dependencies, and governance when strategy and capacity collide.

Roadmap Planning — Intermediate

Roadmap practice under constraints: theme sequencing, dependency management, stakeholder alignment, and balancing discovery with delivery commitments.

Roadmap Planning — Beginner

Basics of product roadmaps: Now/Next/Later, outcomes vs features, commitments vs intent, and stakeholder communication. Mix of single-answer and multiple-answer items.

Hypothesis Testing — Advanced

Advanced experiment strategy: portfolio of bets, causal inference pitfalls, ethics at scale, and connecting tests to roadmap decisions. Mix of single-answer and multiple-answer items.

Hypothesis Testing — Intermediate

Designing product experiments: riskiest assumptions, experiment selection, sample and novelty effects, and interpreting mixed results. Mix of single-answer and multiple-answer items.

Hypothesis Testing — Beginner

Foundations of product hypothesis testing: falsifiable statements, cheap experiments, success/kill criteria, and common experiment types. Mix of single-answer and multiple-answer items.

Opportunity Solution Tree — Advanced

Advanced OST facilitation: multi-outcome portfolios, assumption mapping, discovery cadence, and anti-patterns in scaling product teams. Mix of single-answer and multiple-answer items.

Opportunity Solution Tree — Intermediate

Working with OSTs in practice: framing opportunities, comparing branches, linking interviews to experiments, and avoiding solution bias. Mix of single-answer and multiple-answer items.

Opportunity Solution Tree — Beginner

Basics of Teresa Torres-style Opportunity Solution Trees: outcomes, opportunities, solutions, and experiments. Mix of single-answer and multiple-answer items.

User Interviews — Advanced

Advanced interview craft: bias control, multi-stakeholder B2B research, synthesis rigor, and research ops trade-offs. Mix of single-answer and multiple-answer items.

User Interviews — Intermediate

Interview design for discovery: sampling, moderator technique, synthesis, and when to pair interviews with other evidence. Mix of single-answer and multiple-answer items.

User Interviews — Beginner

Foundations of customer interviews: recruiting, open questions, common biases, and turning notes into insights. Mix of single-answer and multiple-answer items.