スキル一覧に戻る

jobs-to-be-done

deanpeters
更新日 2 days ago
6 閲覧
4,511
575
4,511
GitHubで表示
その他ai

について

このClaudeスキルは、開発者が「Jobs-to-Be-Done」フレームワークを用いて、顧客の動機を体系的に分析し、機能的・感情的・社会的ニーズ、および関連するペインとゲインを明らかにすることを支援します。機能ではなく、顧客の核心的な問題に対応したソリューションを提供するために、製品アイデアの検証、メッセージングの改善、ソリューションの確実な構築を目的としています。未充足のニーズを明確にしたり、実際のユーザー動機に基づいて製品の位置付けを見直す必要がある際にご活用ください。

クイックインストール

Claude Code

推奨
メイン
npx skills add deanpeters/Product-Manager-Skills -a claude-code
プラグインコマンド代替
/plugin add https://github.com/deanpeters/Product-Manager-Skills
Git クローン代替
git clone https://github.com/deanpeters/Product-Manager-Skills.git ~/.claude/skills/jobs-to-be-done

このコマンドをClaude Codeにコピー&ペーストしてスキルをインストールします

ドキュメント

Purpose

Systematically explore what customers are trying to accomplish (functional, social, emotional jobs), the pains they experience, and the gains they seek. Use this framework to uncover unmet needs, validate product ideas, and ensure your solution addresses real motivations—not just surface-level feature requests.

This is not a survey—it's a structured lens for understanding why customers "hire" your product and what would make them "fire" it.

Key Concepts

The Jobs-to-be-Done Framework

Influenced by Clayton Christensen and the Value Proposition Canvas (Osterwalder), JTBD breaks customer needs into three categories:

1. Customer Jobs:

  • Functional jobs: Tasks customers need to perform (e.g., "send an invoice")
  • Social jobs: How customers want to be perceived (e.g., "look professional to clients")
  • Emotional jobs: Emotional states customers seek or avoid (e.g., "feel confident in my work")

2. Pains:

  • Challenges: Obstacles customers face
  • Costliness: What's too expensive in time, money, or effort
  • Common mistakes: Errors customers make that could be prevented
  • Unresolved problems: Gaps in current solutions

3. Gains:

  • Expectations: What would exceed current solutions
  • Savings: Time, money, or effort reductions that delight
  • Adoption factors: What increases likelihood of switching
  • Life improvement: How a solution makes life easier or more enjoyable

Why This Structure Works

  • Separates job from solution: "Communicate with my team" (job) ≠ "email" (solution)
  • Reveals underlying motivations: Functional job may be "track expenses," but emotional job is "feel in control of finances"
  • Surfaces competition you didn't see: Customers "hire" non-obvious alternatives (pen and paper, spreadsheets, workarounds)
  • Prioritizes by intensity: Not all pains are equal—focus on the most acute

Anti-Patterns (What This Is NOT)

  • Not a feature wishlist: "I want AI, automation, and dashboards" is not a job
  • Not demographics: "Millennials want mobile-first" is a persona trait, not a job
  • Not generic: "Be more productive" is too vague—dig into which tasks and why
  • Not one-dimensional: Focusing only on functional jobs misses social/emotional motivations

When to Use This

  • Early-stage discovery (before you know the solution)
  • Validating product-market fit (does your solution address the right jobs?)
  • Prioritizing roadmap (which jobs are most painful/important?)
  • Competitive analysis (what are customers "hiring" competitors for?)
  • Marketing messaging (speak to jobs, not features)

When NOT to Use This

  • After you've already built the product (too late for discovery)
  • For trivial features (don't over-analyze small tweaks)
  • As a substitute for quantitative validation (JTBD informs hypotheses; data validates them)

Application

Use template.md for the full fill-in structure.

Step 1: Define the Context

Before exploring JTBD, clarify:

  • Target customer segment: Who are you studying? (reference skills/proto-persona/SKILL.md)
  • Situation: In what context does the job arise? (e.g., "When managing a project deadline...")
  • Current solutions: What do they use today? (competitors, workarounds, doing nothing)

If missing context: Conduct customer interviews, contextual inquiries, or "switch interviews" (why they switched from a previous solution).


Step 2: Explore Customer Jobs

Functional Jobs

Ask: "What tasks are you trying to complete?"

### Functional Jobs:
- [Task 1 customer needs to perform]
- [Task 2 customer needs to perform]
- [Task 3 customer needs to perform]

Examples:

  • "Reconcile monthly expenses for tax filing"
  • "Onboard a new team member in under 2 hours"
  • "Deploy code to production without downtime"

Quality checks:

  • Verb-driven: Jobs are actions ("send," "analyze," "coordinate")
  • Solution-agnostic: Don't say "use email to communicate"—say "communicate with remote teammates"
  • Specific: "Manage finances" is too broad; "Track business expenses for tax deductions" is specific

Social Jobs

Ask: "How do you want to be perceived by others?"

### Social Jobs:
- [Way customer wants to be perceived socially 1]
- [Way customer wants to be perceived socially 2]
- [Way customer wants to be perceived socially 3]

Examples:

  • "Be seen as a strategic thinker by my exec team"
  • "Appear responsive and reliable to clients"
  • "Look tech-savvy to my younger colleagues"

Quality checks:

  • Audience-specific: Who is the customer trying to impress? (boss, clients, peers, etc.)
  • Emotional weight: Social jobs often drive adoption more than functional jobs

Emotional Jobs

Ask: "What emotional state do you want to achieve or avoid?"

### Emotional Jobs:
- [Emotional state customer seeks or avoids 1]
- [Emotional state customer seeks or avoids 2]
- [Emotional state customer seeks or avoids 3]

Examples:

  • "Feel confident I'm not missing important details"
  • "Avoid the anxiety of manual data entry errors"
  • "Feel a sense of accomplishment at the end of the day"

Quality checks:

  • Positive and negative: Include both what they seek ("feel in control") and what they avoid ("avoid embarrassment")
  • Rooted in research: Don't fabricate emotions—use customer quotes

Step 3: Identify Pains

Challenges

Ask: "What obstacles are preventing you from completing this job?"

### Challenges:
- [Obstacle customer faces 1]
- [Obstacle customer faces 2]
- [Obstacle customer faces 3]

Examples:

  • "Tools don't integrate, forcing manual data entry"
  • "No visibility into what teammates are working on"
  • "Approval processes take 3+ days, blocking progress"

Costliness

Ask: "What takes too much time, money, or effort?"

### Costliness:
- [What's too costly in time, money, or effort 1]
- [What's too costly in time, money, or effort 2]

Examples:

  • "Generating monthly reports takes 8 hours of manual work"
  • "Hiring a specialist costs $10k, which we can't afford"
  • "Learning the current tool requires 20+ hours of training"

Common Mistakes

Ask: "What errors do you make frequently that could be prevented?"

### Common Mistakes:
- [Frequent error 1]
- [Frequent error 2]

Examples:

  • "Forgetting to CC stakeholders on critical emails"
  • "Miscalculating tax deductions due to missing receipts"
  • "Accidentally overwriting someone else's work in shared files"

Unresolved Problems

Ask: "What problems do current solutions fail to address?"

### Unresolved Problems:
- [Problem not solved by current solutions 1]
- [Problem not solved by current solutions 2]

Examples:

  • "Current CRM doesn't track customer health scores"
  • "Email doesn't preserve conversation context when people are added mid-thread"
  • "Existing tools require technical expertise we don't have"

Step 4: Uncover Gains

Expectations

Ask: "What would make you love a solution?"

### Expectations:
- [What could exceed expectations 1]
- [What could exceed expectations 2]

Examples:

  • "Automatically categorizes expenses without manual tagging"
  • "Suggests next steps based on project status"
  • "Integrates seamlessly with tools we already use"

Savings

Ask: "What savings in time, money, or effort would delight you?"

### Savings:
- [Way of saving time, money, or effort 1]
- [Way of saving time, money, or effort 2]

Examples:

  • "Reduce report generation from 8 hours to 10 minutes"
  • "Eliminate the need for a full-time admin"
  • "Cut onboarding time from 2 weeks to 2 days"

Adoption Factors

Ask: "What would make you switch from your current solution?"

### Adoption Factors:
- [Factor increasing likelihood of adoption 1]
- [Factor increasing likelihood of adoption 2]

Examples:

  • "Free trial with no credit card required"
  • "Migration support to import existing data"
  • "Testimonials from companies like ours"

Life Improvement

Ask: "How would your life be better if this job were easier?"

### Life Improvement:
- [How solution makes life easier or more enjoyable 1]
- [How solution makes life easier or more enjoyable 2]

Examples:

  • "I could leave work on time instead of staying late to finish reports"
  • "I'd feel less stressed about missing important deadlines"
  • "I could focus on strategic work instead of busywork"

Step 5: Prioritize and Validate

  • Rank pains by intensity: Which pains are acute vs. mild annoyances?
  • Identify must-have vs. nice-to-have gains: What would drive adoption vs. what's just a bonus?
  • Cross-reference with personas: Do different personas have different jobs/pains/gains? (reference skills/proto-persona/SKILL.md)
  • Validate with data: Survey a broader audience to confirm JTBD insights from interviews

Examples

See examples/sample.md for full JTBD examples.

Mini example excerpt:

**Functional Jobs:** Coordinate tasks across a distributed team
**Pains - Challenges:** Team members use different tools, creating silos
**Gains - Savings:** Reduce status reporting time from 3 hours to 15 minutes

Common Pitfalls

Pitfall 1: Confusing Jobs with Solutions

Symptom: "I need to use Slack" or "I need AI-powered analytics"

Consequence: You've anchored on a solution, not the underlying job.

Fix: Ask "Why?" 5 times. "I need Slack" → "Why?" → "To communicate with my team" → "Why?" → "To get quick answers" → "Why?" → "To avoid project delays."


Pitfall 2: Generic Jobs

Symptom: "Be more productive" or "Save time"

Consequence: Too vague to inform product decisions.

Fix: Get specific. "Save time" → "Reduce time spent generating monthly reports from 8 hours to 1 hour."


Pitfall 3: Ignoring Social/Emotional Jobs

Symptom: Only documenting functional jobs

Consequence: You miss powerful motivators. People often buy based on emotional/social needs, not just functional.

Fix: Explicitly ask about perception and emotions in interviews. "How would solving this make you feel?" "Who would notice if you solved this?"


Pitfall 4: Fabricating JTBD Without Research

Symptom: Filling out the template based on assumptions

Consequence: You're guessing. JTBD analysis is only valuable if grounded in real customer insights.

Fix: Conduct "switch interviews" (ask why they switched from a previous solution), contextual inquiries, or problem validation interviews.


Pitfall 5: Treating All Pains as Equal

Symptom: Listing 20 pains without prioritization

Consequence: No clarity on what to solve first.

Fix: Rank pains by intensity (acute vs. mild). Ask "If we only solved one pain, which would have the biggest impact?"


References

Related Skills

  • skills/proto-persona/SKILL.md — Defines who has these jobs/pains/gains
  • skills/problem-statement/SKILL.md — JTBD informs the "Trying to" and "But" sections
  • skills/positioning-statement/SKILL.md — JTBD informs the "that need" statement

External Frameworks

  • Clayton Christensen, Competing Against Luck (2016) — Origin of Jobs-to-be-Done theory
  • Tony Ulwick, Outcome-Driven Innovation (2016) — Quantifying jobs and outcomes
  • Alexander Osterwalder, Value Proposition Canvas (2014) — Customer jobs/pains/gains framework

Dean's Work

  • [Link to relevant Dean Peters' Substack articles if applicable]

Provenance

  • Adapted from prompts/jobs-to-be-done.md in the https://github.com/deanpeters/product-manager-prompts repo.

Skill type: Component Suggested filename: jobs-to-be-done.md Suggested placement: /skills/components/ Dependencies: References skills/proto-persona/SKILL.md Used by: skills/positioning-statement/SKILL.md, skills/problem-statement/SKILL.md, skills/epic-hypothesis/SKILL.md

GitHub リポジトリ

deanpeters/Product-Manager-Skills
パス: skills/jobs-to-be-done
0
ai-agentsai-product-managementclaude-skillspm-frameworksproduct-management

関連スキル

llamaguard

その他

LlamaGuardは、暴力やヘイトスピーチなど6つの安全性カテゴリーにおいて、LLMの入力と出力をモデレートするMetaの70-80億パラメータモデルです。94〜95%の精度を提供し、vLLM、Hugging Face、Amazon SageMakerを使用してデプロイ可能です。このスキルを使用して、AIアプリケーションにコンテンツフィルタリングと安全策を簡単に統合できます。

スキルを見る

cost-optimization

その他

このClaudeスキルは、リソースの適正サイジング、タグ付け戦略、支出分析を通じて、開発者がクラウドコストを最適化することを支援します。AWS、Azure、GCPにわたるクラウド支出の削減とコストガバナンスの実施のためのフレームワークを提供します。インフラコストの分析、リソースの適正サイジング、または予算制約への対応が必要な際にご利用ください。

スキルを見る

quantizing-models-bitsandbytes

その他

このスキルは、bitsandbytesを使用してLLMを8ビットまたは4ビット精度に量子化し、精度の低下を最小限に抑えつつ50〜75%のメモリ削減を実現します。限られたGPUメモリでより大規模なモデルを実行したり、推論を高速化するのに理想的で、INT8、NF4、FP4などのフォーマットをサポートしています。HuggingFace Transformersと統合され、QLoRAトレーニングや8ビットオプティマイザーを可能にします。

スキルを見る

dispatching-parallel-agents

その他

このClaudeスキルは、複数のエージェントを配備し、3つ以上の独立した問題を並行して調査・修正します。共有状態や依存関係がなく解決可能な、無関係な障害が発生するシナリオ向けに設計されています。中核となる機能は並列問題解決であり、効率を最大化するために独立した問題領域ごとに1つのエージェントを割り当てます。

スキルを見る