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/discovery-interview-prep

Plan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas.

From plugin
product-manager-skills
7.8k77 skills6 commands

Claude Code

$ npx -y skills add deanpeters/Product-Manager-Skills --skill discovery-interview-prep --agent claude-code

SKILL.md

discovery-interview-prep.SKILL.md
name: discovery-interview-prep
argument-hint: "[research goal]"
description: Plan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas.
intent: >-
  Guide product managers through preparing for customer discovery interviews by asking adaptive questions about research goals, customer segments, constraints, and methodologies. Use this to design effective interview plans, craft targeted questions, avoid common biases, and maximize learning from limited customer access—ensuring discovery interviews yield actionable insights rather than confirmation bias or surface-level feedback.
type: interactive
theme: discovery-research
best_for:
  - "Designing a customer discovery interview plan"
  - "Choosing the right interview methodology for your goals and constraints"
  - "Preparing for research with limited customer access"
scenarios:
  - "I need to interview 5 enterprise customers about why they churned in the last 90 days"
  - "I'm validating a new product idea with a 2-week deadline and cold outreach only"
  - "I want to understand why users aren't activating on our core feature"
estimated_time: "15-20 min"

Purpose

Guide product managers through preparing for customer discovery interviews by asking adaptive questions about research goals, customer segments, constraints, and methodologies. Use this to design effective interview plans, craft targeted questions, avoid common biases, and maximize learning from limited customer access—ensuring discovery interviews yield actionable insights rather than confirmation bias or surface-level feedback.

This is not a script generator—it's a strategic prep process that outputs a tailored interview plan with methodology, question framework, and success criteria.

Input

**Works best with:** Your research goal — what you need to learn from customers. **Also useful:** Customer segment, access constraints (how many interviews, by when), and any hypotheses you're carrying in.

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 skill opens by asking your primary goal for the interviews, then narrows with follow-ups.

**Example invocation:** `Prep interviews to understand why enterprise customers churn after 6 months — I can get 5 interviews in 2 weeks.`

Key Concepts

The Discovery Interview Prep Flow

An interactive process that: 1. Gathers product/problem context (marketing materials, assumptions) 2. Defines research goals (what you're trying to learn) 3. Identifies target customer segment and access constraints 4. Recommends interview methodology (Jobs-to-be-Done, problem validation, switch interviews, etc.) 5. Generates interview framework with questions, biases to avoid, and success metrics

Why This Works

  • **Goal-driven:** Aligns interview approach to what you need to learn
  • **Adaptive:** Adjusts methodology based on product stage (idea vs. existing product) and access constraints
  • **Bias-aware:** Highlights common pitfalls (leading questions, confirmation bias, solution-first thinking)
  • **Actionable:** Outputs interview guide ready to use

Anti-Patterns (What This Is NOT)

  • **Not a user testing script:** Discovery = learning problems; testing = validating solutions
  • **Not a sales demo:** Don't pitch—listen and learn
  • **Not surveys at scale:** Deep qualitative interviews (5-10 people), not broad surveys (100+ people)

When to Use This

  • Starting product discovery (validating problem space)
  • Repositioning an existing product (understanding new market)
  • Investigating churn or drop-off (retention interviews)
  • Evaluating feature ideas before building
  • Preparing for customer development sprints

When NOT to Use This

  • User testing a prototype (use usability testing frameworks instead)
  • Quantitative research at scale (use surveys, analytics)
  • When you already know the problem (move to solution validation)

---

Facilitation Source of Truth

Use [`workshop-facilitation`](../workshop-facilitation/SKILL.md) as the default interaction protocol for this skill.

**Default entry mode:** Guided · set in `pm-skills.config.yaml` (library-wide default or a per-skill override); the user's own choice in the session always wins. On the first turn, offer all three modes, then open in the default without waiting for a pick: Guided asks the first question, Context dump invites the paste, Best guess asks for a one-sentence minimum and drafts with every assumption labeled.

It defines:

  • 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 domain-specific assessment content. If there is a conflict, follow this file's domain logic.

Application

This interactive skill asks **up to 4 adaptive questions**, offering **3-4 enumerated options** at each step.

---

Step 0: Gather Context (Before Questions)

**Agent suggests:**

Before we design your interview plan, let's gather context:

**For Your Own Product (Existing or Planned):**

  • Problem hypothesis or product concept description
  • Target customer segment (if known)
  • Existing research (support tickets, churn data, user feedback)
  • Product website or positioning materials
  • Key assumptions you're trying to validate

**For Investigating an Existing Problem:**

  • Customer complaints, support tickets, or churn reasons
  • Hypotheses about why customers leave or struggle
  • Competitive alternatives customers switc
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@deanpeters
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77 battle-tested PM frameworks, ready for Claude, Codex, ChatGPT, and any agent that can read structured knowledge.

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Questions about discovery-interview-prep.

Which coding agents can use discovery-interview-prep?
discovery-interview-prep installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.