Advanced Product Discovery course

Build a discovery practice that survives real product work

Go from outcomes and discovery questions to recruiting, method choice, evidence, opportunities, assumptions, product bets, team rituals, and lightweight governance. The course is built for people who already know why discovery matters and now need a repeatable way to work.

9 connected modules290 short learning unitsSelf-pacedReal public lesson preview

Good fit

Take this when discovery happens, but not consistently

  • • You already understand basic PM and user-research ideas.
  • • Your team talks to users inconsistently or defaults to favorite methods.
  • • Notes and insights are hard to reuse or connect to decisions.
  • • Ideas jump from anecdote to feature before assumptions and risks are explicit.
  • • You want discovery to work across a team, not only in one person's head.

Probably not your first course

Choose a narrower or more foundational route when the gap is different

This is an advanced specialist course, not a substitute for PM fundamentals, a problem-validation-only course, an acquisition course, or a growth course. If your main goal is a recognized credential, compare certification providers rather than treating CraftUp completion as one.

How the course fits together

The course follows one decision loop, not nine unrelated topics

The curriculum starts by deciding what uncertainty matters, builds the habits to gather useful evidence, structures that evidence into opportunities and risks, then turns learning into product bets and a practice the team can sustain.

  1. 01

    Outcome & uncertainty

  2. 02

    Discovery question

  3. 03

    Recruit the right people

  4. 04

    Choose the method

  5. 05

    Capture & synthesize evidence

  6. 06

    Map opportunities

  7. 07

    Surface assumptions & risks

  8. 08

    Make a product bet

  9. 09

    Run team rituals & governance

Phase 01

Build a repeatable discovery practice

Set the cadence, recruiting process, and method-selection habits that make continuous discovery possible in real work.

Phase 02

Turn evidence into structured decisions

Create a usable evidence trail, map opportunities, surface assumptions, and attack the risks that could invalidate the direction.

Phase 03

Turn learning into product action

Move from what you learned to evidence-linked bets, team rituals, and lightweight governance that keeps discovery alive after the workshop ends.

What changes

From piecemeal research activity to evidence-linked product decisions

Before

User conversations happen when someone remembers, recruiting is painful, methods are chosen by familiarity, notes accumulate, and insights jump too quickly into solution ideas.

Through the course

Practice framing questions, recruiting deliberately, matching method to uncertainty, synthesizing evidence, mapping opportunities and assumptions, reducing risk, and connecting learning to bets and team routines.

After

You should be better able to run a repeatable discovery cadence, explain what evidence supports a decision, reduce solution-first thrash, and make discovery clear to the wider product team.

What practice looks like

The learning is built around decisions and artifacts, not vocabulary

Choose a method for the decision

The Methods module spans interviews, surveys, product data, usability tests, diary studies, mixed methods, small samples, and switching methods. The job is to match method to question, not to memorize a favorite technique.

Expose the risk before building

The Assumption Mapping module moves from must-be-true statements and evidence ratings to prioritized risks, falsification, light tests, pass/fail signals, a one-page risk plan, and weekly risk readouts.

Create decision standards without red tape

The Governance module covers evidence thresholds, discovery definition of done, linked-evidence KPIs, repository health, decision logs, discovery health reviews, exception paths, and executive communication.

Outputs the curriculum teaches you to reason through

These are learning outputs referenced by the current lesson inventory, not a promise of downloadable templates.

  • • 4-week discovery plan
  • • participant segments and screening logic
  • • method-choice rationale
  • • clean insight and repository structure
  • • opportunity map
  • • assumption map and one-page risk plan
  • • evidence-linked product bet
  • • discovery policy and health-review logic

Try the course

Try a real lesson before deciding

The sample below comes from the published Discovery Methods Toolbox module. It is a public preview of one lesson experience, not the full module or the full course.

Real CraftUp lesson

Choose method by question, not habit

Try the quiz questions taken directly from the published CraftUp lesson for this module.

CraftUpQuick practice
1 of 5
Question 1

What's the main problem with choosing research methods based on familiarity?

The guide continues below

Want another challenge? Practice another round.

Real CraftUp curriculum · no sign-up required

Curriculum progression

Nine modules, grouped by the capability each one unlocks

Each module below shows its actual current lesson count plus representative beginning, middle, and end lesson titles from the source curriculum. Use the module page to review the complete lesson inventory and any public lesson preview.

Phase 01

Build a repeatable discovery practice

Set the cadence, recruiting process, and method-selection habits that make continuous discovery possible in real work.

  1. Module 1 · 29 lessons

    Discovery Principles & Operating System

    Set up the habits, roles, rules, and rhythms that make discovery continuous.

    Open module →

    Central question

    What are we trying to learn, and how will discovery run every week?

    Capability built

    Frame outcome-linked discovery questions, set a cadence, and define useful stopping signals.

    What it unlocks

    4-week discovery plan and a lightweight discovery backlog

    Representative lessons

    • Introduction to product discovery
    • How to prep the trio for a user session
    • Discovery anti-patterns to avoid
  2. Module 2 · 60 lessons

    Recruiting System & Sampling

    Build a repeatable system to find, screen, schedule, and maintain the right participants every week.

    Open module →

    Central question

    Who do we need to learn from, and how do we reach them repeatedly?

    Capability built

    Build a repeatable participant pipeline instead of scrambling for whoever is easiest to recruit.

    What it unlocks

    participant segments, screening logic, and a repeatable recruiting process

    Representative lessons

    • Why recruiting is the heartbeat of discovery
    • How to recruit in communities without spamming
    • How to troubleshoot stalled user recruitment
  3. Module 3 · 28 lessons

    Discovery Methods Toolbox

    Pick the right research method for the question.

    Open module →

    Central question

    Which method will answer this decision question with the least waste?

    Capability built

    Choose interviews, surveys, product data, usability work, diary studies, and mixed methods based on the question rather than habit.

    What it unlocks

    method-choice rationale tied to the uncertainty you need to reduce

    Representative lessons

    • How to plan a 30 minute discovery interview
    • Usability vs desirability vs feasibility
    • When to switch research methods

Phase 02

Turn evidence into structured decisions

Create a usable evidence trail, map opportunities, surface assumptions, and attack the risks that could invalidate the direction.

  1. Module 4 · 29 lessons

    Insight Pipeline & Repository (AI-assist)

    Build a clean insight pipeline from capture to synthesis, then store findings in a simple, searchable repository.

    Open module →

    Central question

    How do we turn raw evidence into findings the team can actually reuse?

    Capability built

    Capture, clean, synthesize, and store evidence so learning does not disappear into scattered notes.

    What it unlocks

    clean insight notes and a searchable evidence repository structure

    Representative lessons

    • What is an insight pipeline?
    • How to deal with contradictions and outliers in research
    • How to onboard new teammates with a repo tour
  2. Module 5 · 27 lessons

    Opportunity Mapping Methods

    Turn raw insights into a clear map of opportunities that tie to outcomes.

    Open module →

    Central question

    What opportunities does the evidence reveal, and how do they connect to outcomes?

    Capability built

    Turn findings into a structured opportunity space before jumping to solution ideas.

    What it unlocks

    opportunity map linked to evidence and desired outcomes

    Representative lessons

    • Why map opportunities at all
    • How to cluster opportunities by journey step
    • Know when to stop mapping
  3. Module 6 · 28 lessons

    Assumption Mapping & Risk Reduction

    Identify what must be true for your idea to succeed, map those assumptions by importance and evidence.

    Open module →

    Central question

    What must be true for this direction to work, and which risk should we attack first?

    Capability built

    Surface assumptions, rate importance and evidence, and choose the lightest useful tests.

    What it unlocks

    assumption map, prioritized risk list, and one-page risk plan

    Representative lessons

    • Why assumptions decide outcomes
    • How to create a viability sanity check
    • How to create a product team template library

Phase 03

Turn learning into product action

Move from what you learned to evidence-linked bets, team rituals, and lightweight governance that keeps discovery alive after the workshop ends.

  1. Module 7 · 29 lessons

    From Insight to Bets

    Turn solid insights into clear product bets.

    Open module →

    Central question

    What product bet does the learning justify now?

    Capability built

    Connect evidence and risk reduction to a clearer product bet instead of treating an insight as a feature request.

    What it unlocks

    an evidence-linked product bet with explicit uncertainty

    Representative lessons

    • What a product bet really is
    • Why assumptions don't disappear
    • Common bad bets and how to fix them
  2. Module 8 · 31 lessons

    Collaboration & Stakeholder Rituals

    Make discovery a team sport. Set up simple rituals with design, engineering, and stakeholders so learning turns into decisions.

    Open module →

    Central question

    How does discovery become shared team work rather than a PM or researcher side activity?

    Capability built

    Create lightweight rituals with Design, Engineering, and stakeholders so learning changes decisions.

    What it unlocks

    repeatable team rituals for sharing learning and making decisions

    Representative lessons

    • Discovery is a contact sport
    • How to run engineer-in-the-loop discovery
    • How to create time-saving templates for product meetings
  3. Module 9 · 29 lessons

    Discovery Governance & KPIs

    Put light structure around discovery so teams make better decisions without red tape.

    Open module →

    Central question

    How do we keep discovery healthy without turning it into process theater?

    Capability built

    Set evidence thresholds, decision standards, health checks, and governance that scale with risk.

    What it unlocks

    discovery policy, decision-log standards, and health-review logic

    Representative lessons

    • Evidence thresholds: why they matter
    • Bias watch in decisions
    • What is evolving governance over time?

Choose the right next step

Product Discovery is the deep specialist course, not the answer to every PM gap

New to Product Management

Product Management Foundations

Start here if you still need the broad PM mental model across users, strategy, discovery, delivery, metrics, roadmaps, launch, and iteration.

Start with Foundations →

Your immediate question is problem worth

Master Problem Validation

Choose this narrower course when the main job is deciding whether a problem is real, important, repeated, and worth solving.

Focus on problem validation →

Your bottleneck is initial acquisition

Find Your First Users

Choose this when you need practical early distribution, outreach, onboarding, and first-user traction rather than a broader discovery workflow.

Work on first users →

You already have early traction

Early Stage Growth

Choose this when activation, retention, channels, loops, and more repeatable growth are the immediate learning problem.

Work on early growth →

Access and trust

Judge the curriculum, not a badge claim

The public website exposes the module curriculum and a real lesson sample with no sign-up. The complete interactive learning experience continues in CraftUp; this page does not claim that every course lesson is free.

CraftUp does not present this course as an accredited Product Management certification, and completion is not a substitute for product experience or evidence of business results.

If credential signaling is the primary job, use the dedicated certification comparison instead of choosing this course for a claim it does not make.

What this course does not promise

  • • Product-market fit or product success.
  • • A hiring outcome or professional qualification.
  • • That one discovery framework fits every product context.
  • • That more research is always the right next decision.

Go deeper without duplicating the course

Use guides for reference and tools for the work itself

Ready to make discovery repeatable?

Start with discovery principles, then work through recruiting, methods, evidence, opportunities, assumptions, bets, rituals, and governance in sequence.

Start Product Discovery

Frequently asked questions

Who is the Product Discovery course for?

It is best for PMs, founders, builders, and cross-functional product partners who already understand basic Product Management and want a repeatable discovery operating model rather than a one-off workshop or list of research methods.

Should a complete beginner start here?

Usually not. Product Discovery is marked Advanced in the current course catalog. If you still need the broad PM mental model across strategy, discovery, delivery, metrics, roadmaps, launch, and iteration, start with Product Management Foundations.

How is this different from Master Problem Validation?

Master Problem Validation focuses on whether a customer problem is real, important, repeated, and worth solving. Product Discovery is broader: it covers the operating practice from discovery questions and recruiting through evidence, opportunities, assumptions, product bets, collaboration, and governance.

Is the entire Product Discovery course free?

The public website exposes the module curriculum and a real lesson sample with no sign-up. The complete interactive learning experience continues in CraftUp; this page does not claim that every course lesson is free.

Does this course provide an accredited Product Management certification?

No. Product Discovery is a learning course, not an accredited credential, and completion is not a substitute for product experience or proof of business results.

Do I need to complete every lesson in order?

The modules are sequenced as a learning system, so the full arc is useful when you want a repeatable operating model. You can still inspect individual module lesson lists and revisit the capability that matches your current discovery gap.

Portrait of Andrea Mezzadra, course instructor

Meet your instructor

Andrea Mezzadra

Product Director | MBA

Ex Product Director turned Independent Product Creator.

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