agentleFS
varunk130varunk130/claude-code-skills/skills/product-management/product-discovery-coach/SKILL.md

product-discovery-coach

Skill1 starsChanged 22 days agoMITView on GitHub

Coaches a product trio through continuous product discovery: weekly customer touchpoints, assumption mapping, story mapping, and the discovery / delivery dual-track cadence. Use when standing up a discovery practice from scratch, debugging why discovery isn't sticking, training a new product manager on continuous discovery, or designing a quarterly discovery plan around an outcome.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    No status updates. No backlog grooming.

    line 53
  2. Distinctive:

    Treat discovery as continuous, not project-based

    line 126
  3. Distinctive:

    Test the highest-risk assumption first

    line 128
  4. Distinctive:

    Run an assumption test without a written kill criterion

    line 135

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Product Discovery Coach

The operating system for a product trio that wants continuous discovery, not occasional research.

What this skill is

A coaching workflow that diagnoses where a product team is in its discovery maturity and produces concrete next-step practices: interview cadence, assumption mapping, story mapping, Opportunity Solution Trees (OSTs), and the discovery / delivery dual-track. Includes the rituals (weekly trio meetings, monthly assumption tests, quarterly outcome resets) that make discovery stick.

What it solves

  • "Discovery" that means a one-off project, not a continuous practice
  • Roadmaps where the product manager does the thinking and the trio only executes
  • Customer interviews scheduled for "when there's time" (i.e., never)
  • Assumption tests that have no kill criteria
  • Discovery work that doesn't ladder up to a business outcome

When to invoke

  • Standing up a discovery practice from scratch
  • Diagnosing why an existing discovery effort isn't producing decisions
  • Coaching a new product manager on what good discovery looks like
  • Designing the discovery half of a quarterly plan
  • Aligning product, design, and engineering on a shared trio operating model

Phase 1: Diagnose discovery maturity

Score the team 1-5 on each:

Practice15
Weekly customer touchpointsNoneEvery product manager, designer, and engineer talks to customers weekly
Outcome ownershipObjectives and Key Results (OKRs) set top-down by leadershipTrio owns outcome and adjusts approach
Assumption testingBuilds firstTests highest-risk assumption first
Story mappingBacklog listVisual map with releases
Opportunity Solution Tree (OST)NoneLiving, updated weekly
Discovery / delivery cadenceSequentialDual-track parallel

Identify the single weakest dimension - that is the focus for the next 90 days.

Phase 2: Install the weekly trio cadence

The trio (product manager plus designer plus tech lead) meets weekly for 90 minutes:

  • 15 minutes - outcome status (metric trend, leading indicators)
  • 30 minutes - review interviews from last week, update opportunities
  • 30 minutes - assumption tests in flight; design next test
  • 15 minutes - story map updates and next-week commitments

No status updates. No backlog grooming. This is the discovery operating ritual.

Phase 3: Continuous interview cadence

Target: 3 customer touchpoints per week minimum, including product manager, designer, and one engineer rotated.

Interview pipeline:

  • Recruiting via existing customer pool, support tickets, Ideal Customer Profile (ICP) outreach, intercept on the product
  • Standing 30-minute slots on calendars
  • Lightweight, semi-structured guide focused on the current opportunity
  • Recording (with consent) → transcript → coded in shared library

Anti-pattern: the product manager is the only one interviewing. Discovery does not transfer through readouts.

Phase 4: Assumption mapping

For each candidate solution, list assumptions across:

  • Value risk
  • Usability risk
  • Feasibility risk
  • Business viability risk

Plot on a 2-by-2 of importance × evidence. The top-right quadrant (high importance, low evidence) is what gets tested first.

Test design template:

We believe [assumption]. To verify, we'll [method] with [population]. We'll know it's true if [success criteria] and false if [kill criteria].

Methods, cheapest first: survey, fake-door experiment, prototype walkthrough, concierge Minimum Viable Product (MVP), A/B test, full build.

Phase 5: Story mapping

For prioritized opportunities, build a story map:

  • Horizontal axis: the customer's journey (steps in order)
  • Vertical axis: necessity (must-have at top, nice-to-have below)
  • Releases drawn as horizontal slices

Story mapping reveals:

  • The narrative spine (what's the customer doing?)
  • The thinnest viable release
  • Future releases without committing them

Phase 6: Discovery / delivery dual track

Set up two parallel tracks:

TrackOwnsCadenceOutput
DiscoveryTrioContinuous, weeklyTested opportunities, validated solution shape
DeliveryEngineering plus designSprint or continuous deploymentShipped releases tied to validated solution

Solutions move from discovery → delivery only after the top assumption tests pass. No "we'll figure it out in build."

Phase 7: Quarterly outcome reset

At quarter end:

  • Review outcome metric movement versus target
  • Inspect the OST: which branches were pursued, which pruned, which abandoned?
  • Conduct a discovery retrospective: what cadences slipped? what evidence is weakest?
  • Reset the outcome for the next quarter (often the same; sometimes a sub-component)

Output

  • Discovery maturity score with weakest-dimension focus
  • Weekly trio agenda template
  • Interview cadence plan with recruiting source and quota
  • Assumption map per candidate solution with prioritized tests
  • Story map for the active opportunity
  • Discovery / delivery cadence visualization
  • Quarterly outcome reset template

Operating rules

Always

  • Treat discovery as continuous, not project-based
  • Have engineers and designers interview customers, not only the product manager
  • Test the highest-risk assumption first
  • Define kill criteria before running a test
  • Make the trio meeting a non-negotiable weekly ritual

Never

  • Skip customer touchpoints because "we're busy shipping"
  • Build before testing the highest-risk value assumption
  • Run an assumption test without a written kill criterion
  • Confuse roadmap planning with discovery
  • Let the product manager be the sole conduit of customer knowledge

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.