M02-02 · AI Product & Business Strategy

Product Management — Requirements, Research, and Shipping

Teaches the end-to-end product management workflow: conducting user research, writing product requirements documents (PRDs), working with engineering and design to build features, and measuring post-launch impact. Covers user interviews, session recording analysis, prioritization frameworks (RICE/ICE), writing requirements that engineers want to work from, giving useful design feedback, and managing the daily micro-decisions that determine whether a feature ships successfully.

35 Hours

9 Learning objectives

Evaluate Bloom's ceiling (?)

5 Competencies

What You'll Be Able To Do

Learning Objectives

Objectives

Depth

Conduct user research using multiple methods: discovery interviews (Jobs-to-Be-Done methodology), session recordings (FullStory/Hotjar), surveys, and customer call analysis (Gong/Chorus) Apply
Write PRDs with clear problem statements, user stories, prioritized requirements (P0/P1/P2), acceptance criteria, edge cases, mockup references, success metrics, and launch plans Create
Prioritize features and initiatives using structured frameworks (RICE, ICE, or custom) with explicit scoring and defensible rationale Apply
Write engineering requirements that developers want: clear acceptance criteria, edge cases addressed, "must have" vs. "nice to have" labeled, mockups attached Apply
Give actionable design feedback grounded in data and user behavior rather than personal preference Apply
Manage a feature through the full product development cycle: research, requirements, design, engineering, QA, launch, and measurement Apply
Make 10-20 micro-decisions daily during feature development that aren't in the spec, maintaining product coherence without blocking engineering Apply
Use AI for product management tasks (PRD drafting, user interview summarization, competitive analysis) while editing heavily for company-specific context and accuracy Evaluate
Write launch communications: release notes, internal announcements, and post-launch retrospectives with quantified outcomes Create

Levels: Remember · Understand · Apply · Analyze · Evaluate · Create — highest demands most original thinking.

Core Competencies

What You'll Master

User Research

Interview methodology (JTBD), session recording analysis, survey design, synthesizing qualitative data into patterns.

Product Requirements

PRDs, user stories, acceptance criteria, edge case identification, requirement prioritization.

Prioritization

RICE/ICE frameworks, stack-ranking initiatives, defending prioritization decisions to stakeholders.

Cross-Functional Feature Execution

Daily collaboration with engineering and design, micro-decision making, timeline management.

Post-Launch Measurement

Defining success metrics before launch, monitoring post-launch, writing retrospectives with quantified impact.

Portfolio Artifact

What You'll Build

Feature Ship Portfolio — Student takes a product problem (e.g., "activation rate is 35%, benchmark is 55%"), conducts user research (5 interview summaries, session recording analysis), writes a complete PRD, creates a prioritized backlog, manages a simulated sprint with engineering decisions, writes release notes, and produces a post-launch measurement report. Includes the AI-assisted drafts alongside final versions with annotations on what was changed.

Tools You'll Use

Industry Tools, Not Toy Projects

Notion / Confluence

Documentation platforms for writing PRDs, product specs, and team knowledge bases.

Jira / Linear

Ticket management and sprint planning tools for engineering collaboration.

Figma

Design collaboration platform for reviewing mockups, providing design feedback, and annotating wireframes.

Amplitude / Mixpanel

Product analytics for measuring feature impact, tracking user behavior, and validating hypotheses.

FullStory / Hotjar

Session recording and heatmap tools for understanding user behavior qualitatively.

Gong / Chorus

Call recording and analysis platforms for extracting insights from customer conversations.

Claude

AI assistant for PRD drafting, interview summarization, and competitive analysis with human editing.

Miro

Collaborative whiteboarding for user journey mapping, prioritization exercises, and sprint planning.