discovery-process 技能 | PlugMCP
跳到正文 Home / Skills / discovery-process discovery-process Run a full discovery cycle from problem hypothesis to validated solution. Use when a team needs a structured path through framing, interviews, synthesis, and experiments.
Install The skill file stays in the publisher's repository.
Paste the copied command in a terminal. It installs this SKILL.md into that agent.
npx skills add deanpeters/Product-Manager-Skills --skill discovery-process -a cursor -y Copy Download skill skills/discovery-process/SKILL.md on GitHub P
Product-Manager-Skills Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents. D
director-readiness-advisor Guide the PM-to-Director transition across preparing, interviewing, landing, and recalibrating. Use when leadership scope is changing and you need practical coaching. M
market-landscape-scan Map a market's segments, players, substitutes, and whitespace with cited evidence. Use when entering or re-evaluating a market before sizing, positioning, or picking competitors to study. Questions
How do I install discovery-process? Download skills/discovery-process/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does discovery-process live? The publisher keeps it at https://github.com/deanpeters/Product-Manager-Skills.
Which agents can use discovery-process? Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository. SKILL.md 简介 常见问题
Run a full discovery cycle from problem hypothesis to validated solution. Use when a team needs a structured path through framing, interviews, synthesis, and experiments.
name: discovery-process
argument-hint: "[problem hypothesis]"
description: Run a full discovery cycle from problem hypothesis to validated solution. Use when a team needs a structured path through framing, interviews, synthesis, and experiments.
intent: >-
Guide product managers through a complete discovery cycle—from initial problem hypothesis to validated solution—by orchestrating problem framing, customer interviews, synthesis, and experimentation skills into a structured process. Use this to systematically explore problem spaces, validate assumptions, and build confidence before committing to full development—avoiding "build it and they will come" syndrome and ensuring you're solving real customer problems.
type: workflow
theme: discovery-research
best_for:
"Running a full discovery cycle from hypothesis to validated solution"
"Investigating a retention or churn problem systematically"
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PlugMCP, 2026
"Setting up continuous discovery as an ongoing practice"
scenarios:
"I have a hypothesis that B2B customers struggle with onboarding and want to validate it before building anything"
"Our activation rate dropped 15% this quarter and I need to run discovery to find out why"
estimated_time: "30-60 min"
Purpose Guide product managers through a complete discovery cycle—from initial problem hypothesis to validated solution—by orchestrating problem framing, customer interviews, synthesis, and experimentation skills into a structured process. Use this to systematically explore problem spaces, validate assumptions, and build confidence before committing to full development—avoiding "build it and they will come" syndrome and ensuring you're solving real customer problems.
This is not a one-time research project—it's a continuous discovery practice that runs in parallel with delivery, typically 1-2 discovery cycles per quarter.
Input Works best with: Your starting problem hypothesis — even a rough one.
Also useful: Prior research, customer access, timeline, and what decision the discovery must inform.
Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.
Arriving empty-handed? That works too. The workflow starts at problem framing and helps you construct the hypothesis first.
Example invocation: Run discovery on this hypothesis: SMB admins abandon onboarding because the data-import step requires IT help they don't have.
Key Concepts
What is the Discovery Process? The discovery process (Teresa Torres, Marty Cagan) is a structured approach to exploring problem spaces and validating solutions before building. It consists of:
Frame the Problem — Define what you're investigating and whyConduct Research — Gather qualitative and quantitative evidenceSynthesize Insights — Identify patterns, pain points, and opportunitiesGenerate Solutions — Explore multiple solution optionsValidate Solutions — Test assumptions through experimentsDecide & Document — Commit to build, pivot, or kill
Why This Works
De-risks product decisions: Tests assumptions before expensive buildsCustomer-centric: Grounds decisions in real customer problems, not internal opinionsIterative: Builds confidence progressively through small experimentsFast learning: Discovers "no-go" signals early, saves wasted effort
Anti-Patterns (What This Is NOT)
Not waterfall research: Discovery runs continuously, not once before devNot user testing: Discovery validates problems; testing validates solutionsNot a substitute for shipping: Discovery informs delivery, doesn't replace it
When to Use This
Exploring new product/feature areas
Investigating retention or churn problems
Validating strategic initiatives before roadmap commitment
Continuous discovery (weekly customer touchpoints)
When NOT to Use This
For well-understood problems (move to execution)
When stakeholders have already committed to a solution (address alignment first)
For tactical bug fixes or technical debt (no discovery needed)
Facilitation Source of Truth When running this workflow as a guided conversation, use workshop-facilitation
session heads-up + entry mode (Guided, Context dump, Best guess)
one-question turns with plain-language prompts
progress labels (for example, Context Qx/8 and Scoring Qx/5)
interruption handling and pause/resume behavior
numbered recommendations at decision points
quick-select numbered response options for regular questions (include Other (specify) when useful)
This file defines the workflow sequence and domain-specific outputs. If there is a conflict, follow this file's workflow logic.
Application Use template.md for the full fill-in structure.
This workflow orchestrates 6 phases over 2-4 weeks , using multiple component and interactive skills.
Phase 1: Frame the Problem (Day 1-2) Goal: Define what you're investigating, who's affected, and success criteria.
Activities 1. Run Problem Framing Canvas
Use: skills/problem-framing-canvas/SKILL.md (interactive - MITRE)Participants: PM, design, engineering leadDuration: 120 minutesOutput: Problem statement + "How Might We" question 2. Create Formal Problem Statement
Use: skills/problem-statement/SKILL.md (component)Participants: PMDuration: 30 minutesOutput: Structured problem statement with hypothesis 3. Define Proto-Personas (If Needed)
Use: skills/proto-persona/SKILL.md (component)When: If target customer segment is unclearDuration: 60 minutesOutput: Hypothesis-driven personas 4. Map Jobs-to-be-Done (If Needed)
Use: skills/jobs-to-be-done/SKILL.md (component)When: If customer motivations are unclearDuration: 60 minutesOutput: JTBD statements
Outputs from Phase 1
Problem hypothesis: "We believe [persona] struggles with [problem] because [root cause], leading to [consequence]."Research questions: 3-5 questions to answer through discoverySuccess criteria: What would validate/invalidate the problem?
Decision Point 1: Do we have enough context to start research? If YES: Proceed to Phase 2 (Research Planning)
If NO: Gather existing data first:
Review support tickets, churn surveys, NPS feedback
Analyze product analytics (drop-off points, usage patterns)
Review competitor research, market trends
Time impact: +2-3 days
Phase 2: Research Planning (Day 3) Goal: Design research approach, recruit participants, prepare interview guide.
Activities 1. Prep Discovery Interviews
Use: skills/discovery-interview-prep/SKILL.md (interactive)Participants: PM, designDuration: 90 minutesOutput: Interview plan with methodology, questions, biases to avoid
Target: 5-10 customers per discovery cycle (Teresa Torres: continuous discovery = 1 interview/week)Segment: Focus on personas from Phase 1Recruitment channels:
Existing customers (email, in-app prompts)
Churned customers (exit interviews)
Cold outreach (LinkedIn, communities)
Incentive: $50-100 gift card or product creditDuration: 2-3 days (parallel with Phase 1)
Format: 45-60 min per interview (30-40 min conversation + buffer)Timeline: Spread across 1-2 weeksRecording: Get consent, record for synthesis
Outputs from Phase 2
Interview guide: 5-7 open-ended questions (Mom Test style)Participant roster: 5-10 scheduled interviewsSynthesis plan: How you'll capture and analyze insights
Phase 3: Conduct Research (Week 1-2) Goal: Gather qualitative evidence through customer interviews.
Activities 1. Conduct Discovery Interviews
Methodology: From skills/discovery-interview-prep/SKILL.md (Problem validation, JTBD, switch interviews, etc.)Participants: PM + optional observer (design, eng)Duration: 5-10 interviews over 1-2 weeksFocus areas:
Past behavior (not hypotheticals): "Tell me about the last time you [experienced this problem]"
Workarounds: "How do you currently handle this?"
Alternatives tried: "Have you tried other solutions? Why did you stop?"
Pain intensity: "How much time/money does this cost you?"
Template:
Participant: [Name, role, company size]
Context: [When/where they experience problem]
Actions: [What they do, step-by-step]
Pain points: [Frustrations, blockers]
Workarounds: [Current solutions]
Quotes: [Verbatim customer language]
Insights: [Patterns, surprises]
3. Review Support Tickets & Analytics (Parallel)
Support tickets: Tag by theme (onboarding, feature confusion, bugs)Analytics: Identify drop-off points, feature usage, cohort behaviorSurveys: Review NPS comments, exit surveys, feature requests
Outputs from Phase 3
Interview transcripts: Recorded sessions + detailed notesSupport ticket themes: Top 10 issues by frequencyAnalytics insights: Quantitative data on behavior (e.g., "60% abandon onboarding at step 3")
Decision Point 2: Have we reached saturation? Saturation = same pain points emerge across 3+ interviews, no new insights
If YES (saturated after 5-7 interviews): Proceed to Phase 4 (Synthesis)
If NO (still learning new things): Schedule 3-5 more interviews
Phase 4: Synthesize Insights (End of Week 2) Goal: Identify patterns, prioritize pain points, map opportunities.
Activities 1. Affinity Mapping (Thematic Analysis)
Method:
Write each insight/quote on sticky note
Group by theme (e.g., "onboarding confusion," "pricing objections," "mobile access")
Count frequency (how many customers mentioned each theme)
Participants: PM, design, optional engDuration: 90-120 minutesOutput: Themed clusters with frequency counts 2. Create Customer Journey Map (Optional)
Use: skills/customer-journey-mapping-workshop/SKILL.md (interactive)When: If pain points span multiple phases (discover, try, buy, use, support)Duration: 90 minutesOutput: Journey map with opportunities ranked by impact 3. Prioritize Pain Points
Criteria:
Frequency: How many customers mentioned this?Intensity: How painful is it? (time wasted, money lost, emotional frustration)Strategic fit: Does solving this align with business goals?
Method: Score each pain point (1-5) on frequency, intensity, strategic fitOutput: Ranked list of top 3-5 pain points to address 4. Update Problem Statement
Use: skills/problem-statement/SKILL.md (component)Refine based on research: Did initial hypothesis hold? Adjust if needed.Output: Validated problem statement
Outputs from Phase 4
Affinity map: Themes with frequency countsTop 3-5 pain points: Prioritized by frequency × intensity × strategic fitCustomer quotes: 3-5 verbatim quotes per pain pointValidated problem statement: Refined based on evidence
Phase 5: Generate & Validate Solutions (Week 3) Goal: Explore solution options, design experiments, validate assumptions.
Activities 1. Generate Opportunity Solution Tree
Use: skills/opportunity-solution-tree/SKILL.md (interactive)Input: Top 3 pain points from Phase 4Participants: PM, design, engineering leadDuration: 90 minutesOutput: 3 opportunities, 3 solutions per opportunity, POC recommendation Alternative: Use Lean UX Canvas
Use: skills/lean-ux-canvas/SKILL.md (interactive)When: Prefer hypothesis-driven approach over OSTOutput: Hypotheses to test, minimal experiments
For each solution: Define "What's the least work to learn the next most important thing?"Experiment types:
Concierge test: Manually deliver solution to 10 customers, observePrototype test: Clickable mockup, usability test with 10 usersLanding page test: Fake door test (show feature, measure interest)A/B test: Build minimal version, test with 50% of users
Success criteria: What metric/behavior validates hypothesis?
Timeline: 1-2 weeks per experimentParticipants: PM + design (for prototypes), eng (for A/B tests)Output: Quantitative and qualitative validation data
Outputs from Phase 5
Solution options: 3-9 solutions (3 per opportunity)Experiment results: Did hypothesis validate or invalidate?Customer feedback: Qualitative reactions to prototypes/concepts
Decision Point 3: Did experiments validate solution? If YES (validated): Proceed to Phase 6 (Decide & Document)
Pivot to next solution option
Re-run experiments with adjusted approach
Time impact: +1-2 weeks
Phase 6: Decide & Document (End of Week 3-4) Goal: Commit to build, document decision, communicate to stakeholders.
Activities 1. Make Go/No-Go Decision
Criteria:
Problem validated? (Phase 3-4)
Solution validated? (Phase 5)
Strategic fit? (aligns with business goals)
Feasible? (engineering capacity, technical complexity)
Decision:
GO: Move to roadmap, write epics/storiesPIVOT: Explore alternative solutionKILL: De-prioritize, not worth solving now
2. Define Epic Hypotheses (If GO)
Use: skills/epic-hypothesis/SKILL.md (component)Participants: PMDuration: 60 minutes per epicOutput: Epic hypothesis statement with success criteria
Use: skills/prd-development/SKILL.md (workflow)Participants: PMDuration: 1-2 daysOutput: Structured PRD with problem, solution, success metrics
Format: 30-min readout covering:
Problem validation (Phase 3-4 insights)
Solution validation (Phase 5 experiments)
Recommendation (GO/PIVOT/KILL)
Participants: Execs, product leadership, key stakeholdersOutput: Alignment on next steps
Outputs from Phase 6
Decision: GO, PIVOT, or KILLEpic hypotheses: (if GO) Testable epic statementsPRD: (if GO) Formal product requirements documentStakeholder alignment: Exec buy-in on recommendation
Complete Workflow: End-to-End Summary Week 1:
├─ Day 1-2: Frame the Problem
│ ├─ skills/problem-framing-canvas/SKILL.md (120 min)
│ ├─ skills/problem-statement/SKILL.md (30 min)
│ └─ [Optional] skills/proto-persona/SKILL.md, skills/jobs-to-be-done/SKILL.md
│
├─ Day 3: Research Planning
│ ├─ skills/discovery-interview-prep/SKILL.md (90 min)
│ ├─ Recruit participants (2-3 days)
│ └─ Schedule 5-10 interviews
│
└─ Day 4-5: Conduct Research (Start)
└─ First 2-3 customer interviews
Week 2:
├─ Day 1-3: Conduct Research (Continue)
│ └─ Remaining customer interviews (3-7 more)
│
├─ Day 4-5: Synthesize Insights
│ ├─ Affinity mapping (120 min)
│ ├─ [Optional] skills/customer-journey-mapping-workshop/SKILL.md (90 min)
│ ├─ Prioritize pain points
│ └─ Update problem statement
│
└─ Decision: Reached saturation? (if NO, +1 week more interviews)
Week 3:
├─ Day 1-2: Generate & Validate Solutions
│ ├─ skills/opportunity-solution-tree/SKILL.md (90 min)
│ └─ Design experiments
│
├─ Day 3-5: Run Experiments
│ ├─ Concierge tests, prototypes, or A/B tests
│ └─ Gather validation data
│
└─ Decision: Validated? (if NO, pivot to next solution, +1-2 weeks)
Week 4:
└─ Decide & Document
├─ Make GO/NO-GO decision
├─ [If GO] skills/epic-hypothesis/SKILL.md (60 min per epic)
├─ [If GO] skills/prd-development/SKILL.md (1-2 days)
└─ Communicate findings (30 min readout)
Fast track: 3 weeks (5 interviews, 1 experiment)Typical: 4 weeks (7-10 interviews, 1-2 experiments)Thorough: 6-8 weeks (10+ interviews, multiple experiment rounds)
Examples See examples/sample.md for a full discovery process example.
**Problem:** Onboarding drop-off due to jargon
**Insight:** 6/10 users quit at step 3
**Decision:** Go with guided checklist experiment
Common Pitfalls
Pitfall 1: Skipping Customer Interviews Symptom: Rely only on analytics and support tickets, no qualitative research
Consequence: Miss "why" behind behavior, build wrong solutions
Fix: Always interview 5-10 customers per discovery cycle (even if you have data)
Pitfall 2: Asking Leading Questions Symptom: "Would you use [feature X] if we built it?"
Consequence: Confirmation bias, customers say "yes" to be polite
Fix: Use Mom Test questions from skills/discovery-interview-prep/SKILL.md (focus on past behavior)
Pitfall 3: Not Reaching Saturation Symptom: Interview 2-3 customers, declare discovery complete
Consequence: Small sample, not representative
Fix: Continue interviews until same patterns emerge across 3+ customers (typically 5-7 interviews minimum)
Pitfall 4: Analysis Paralysis Symptom: Spend 6 weeks synthesizing insights, never move to solutions
Consequence: No delivery, team loses momentum
Fix: Time-box discovery to 3-4 weeks; after Phase 6, move to execution
Pitfall 5: Discovery as One-Time Activity Symptom: Run discovery once before building, then stop
Consequence: Miss evolving customer needs, market changes
Fix: Continuous discovery (Teresa Torres): 1 customer interview per week, ongoing
References
Related Skills (Orchestrated by This Workflow)
skills/problem-framing-canvas/SKILL.md (interactive)skills/problem-statement/SKILL.md (component)skills/proto-persona/SKILL.md (component, optional)skills/jobs-to-be-done/SKILL.md (component, optional)
skills/discovery-interview-prep/SKILL.md (interactive)
skills/customer-journey-mapping-workshop/SKILL.md (interactive, optional)
skills/opportunity-solution-tree/SKILL.md (interactive)skills/lean-ux-canvas/SKILL.md (interactive, alternative)
skills/epic-hypothesis/SKILL.md (component)skills/prd-development/SKILL.md (workflow)
External Frameworks
Teresa Torres, Continuous Discovery Habits (2021) — Weekly customer touchpoints, OST framework
Rob Fitzpatrick, The Mom Test (2013) — How to ask good interview questions
Marty Cagan, Inspired (2017) — Product discovery principles
Dean's Work
Productside Blueprint — Strategic discovery process
[If Dean has discovery resources, link here]
Skill type: Workflow
Suggested filename: discovery-process.md
Suggested placement: /skills/workflows/
Dependencies: Orchestrates 10+ component and interactive skills across 6 phases
How do I install discovery-process? Download skills/discovery-process/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does discovery-process live? The publisher keeps it at https://github.com/deanpeters/Product-Manager-Skills.
Which agents can use discovery-process? Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.