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ジョブ理論分析スキル

顧客の行動を駆り立てる機能的、社会的、感情的なジョブを明らかにします。顧客が製品を採用し、切り替え、離脱する理由を、表面的な要望ではなく根本的な動機から理解したい場合に使用します。

ジョブ理論分析スキル とは?

このスキルは、製品戦略に「ジョブ理論(Jobs to Be Done)」フレームワークを適用するためのものです。顧客は単に製品を購入するのではなく、生活の中で進歩を達成するために「雇用」しているという考えに基づき、表面的な機能要望の背後にある真の動機を分析します。具体的には、顧客が達成しようとしている中核的なタスク(機能的ジョブ)、他者からどう見られたいかという社会的欲求(社会的ジョブ)、そして達成したい感情・回避したい不安(感情的ジョブ)を特定します。さらに、現状の課題(ペイン)と理想的な状態(ゲイン)を抽出し、ジョブの優先順位付けを行った上で、具体的な製品改善や戦略への示唆を導き出します。このスキルは、Claude Code、Cursor、CodexなどのAIエージェントと連携して使用することを想定しており、プロンプトテンプレートに調査データや顧客インタビューノートを入力するだけで、構造化された分析結果を得ることができます。

対応~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/amplitude/builder-skills/tree/HEAD/product-skills/skills/jobs-to-be-done

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このエージェントスキルを事前に読み込んだ状態で新しいチャットを開きます。

ドキュメント

Jobs to Be Done (ジョブ理論)

顧客の行動を駆り立てる機能的、社会的、感情的なジョブを明らかにします。

顧客は製品を購入するのではなく、人生の進歩のために製品を「雇用」します。このスキルは、表面的な機能要望の背後にある、導入、継続利用、解約を促進する根本的な動機を理解するのに役立ちます。


プロンプトテンプレート

あなたは経験豊富なプロダクトストラテジストであり、Jobs to Be Done(JTBD)フレームワークを適用します。

以下は、製品、顧客セグメント、または問題領域に関するコンテクストです:

<context>
$ARGUMENTS
</context>

> 上記が空白の場合は、ユーザーに次のように尋ねてください:「{{顧客調査、インタビューノート、解約データ、機能リクエスト、または製品説明をここに貼り付けてください}}」

これをJTBDの観点から分析し、以下の項目を出力してください:

1. **機能的ジョブ** — 顧客が達成しようとしている中核的なタスク。何を成し遂げようとしているのか?現在のワークフローはどのようなものか?測定基準:時間節約、労力削減、正確性、スループット。

2. **社会的ジョブ** — 顧客が他者にどう見られたいかという欲求。どのような専門的アイデンティティやステータスを投影しようとしているか?これらはしばしば口に出されないが、導入や支払意欲の強力な推進力となる。

3. **感情的ジョブ** — 顧客が達成したい気持ちや避けたい気持ち。現在のアプローチはどのような不安を生み出しているか?理想的なソリューションはどのような自信や安心感をもたらすか?最も強いロイヤルティの推進力であるが、最も言語化されていないことが多い。

4. **現在のペイン(課題)** — 各ジョブについて、以下を特定する:
   - 達成を妨げる障害
   - 無駄になっている時間、お金、労力
   - 現在のアプローチが引き起こすミス
   - 既存ソリューションのギャップ

5. **望ましいゲイン(成果)** — 各ジョブについて、以下を特定する:
   - 期待を超えるものは何か
   - 定量化可能な効率改善
   - 新たに可能になる能力
   - 生活の質の向上

6. **ジョブの優先順位付け** — 以下の基準でジョブをランク付けする:
   - 強度(どれだけ強く感じられているか?)
   - 頻度(どのくらいの頻度で発生するか?)
   - 未充足度(既存のソリューションがどれだけうまく対応できていないか?)

7. **示唆(インプリケーション)** — 優先順位付けされたジョブに基づいて、何を構築し、どのようにポジショニングし、何を変更すべきか?どのジョブを無視すべきか?

顧客が言ったことと、あなたが推測していることを分けてください。可能な限り直接引用を使用してください。さらに調査が必要な箇所にはフラグを立ててください。

ヒント

  • 古典的なテスト:「顧客は1/4インチのドリルを欲しがっているのではなく、1/4インチの穴を欲しがっている」——機能要望の背後にあるジョブを掘り下げ続けてください。
  • 社会的および感情的なジョブこそ、真の差別化が生まれる場所です。機能的ジョブはコモディティ化されますが、感情的ジョブはロイヤルティを生み出します。
  • 生のインタビュートランスクリプトを処理する必要がある場合は、craft-discovery-synthesis と組み合わせて使用してください。
  • 調査データではなく機能要望しかない場合でも、このスキルはあなたが前提としている仮定を明らかにし、何を検証すべきかを示してくれます。

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

amplitude/builder-skills

Performs deep analysis of a specific Amplitude chart to explain trends, anomalies, and likely drivers. Use when a metric looks unusual, investigating a spike or drop, or understanding the "why" behind numbers.

amplitude/builder-skills

Deeply analyze Amplitude dashboards by analyzing key charts, surfacing top areas for concern and takeaways, identify anomalies, then explain changes using customer feedback trends.

amplitude/builder-skills

Designs A/B tests with proper metrics and variants, analyzes running or completed experiments, and interprets results with statistical rigor. Use when setting up experiments, checking experiment status, analyzing results, or making ship decisions.

amplitude/builder-skills

Synthesizes customer feedback into actionable themes including feature requests, bugs, pain points, and praise. Use when planning product roadmap, understanding user sentiment, investigating specific issues, or preparing voice-of-customer reports.

amplitude/builder-skills

Analyze MCP server usage instrumented with Amplitude's MCP Analytics SDK: break usage and errors down by tool, read the rationales within each tool to see what callers are trying to do, and produce a prioritized write-up of actionable fixes. Use this skill whenever the user asks to understand how their MCP server is being used, what agents/users are trying to do with it, why tool calls are failing, what to fix or improve in their MCP server, or asks for an "MCP usage report", "tool error analysis", "intent analysis", "rationale clustering", or "MCP insights". Also trigger when the user mentions [MCP]-prefixed events, tool rationale, tool call errors, or just finished instrumenting their MCP server and wants to see what the data says. Requires the Amplitude MCP connector.

amplitude/builder-skills

Read lost deals and churned accounts from your CRM, extract reasons clustered by theme (missing features, pricing, competitors, UX), and write a prioritized weekly analysis with product improvement recommendations. Use before roadmap planning or to build the case for prioritizing retention work.

amplitude/builder-skills

Creates Amplitude charts from natural language descriptions, handling event selection, filters, groupings, and visualization choices. Use when you know what you want to measure but prefer not to build the chart manually.

amplitude/builder-skills

Guide an Amplitude user through building a custom agent by suggesting use cases grounded in their role and data, shaping the idea into a well-formed spec, and generating a ready-to-run Global Agent deeplink that creates it. Use to create, build, or set up a custom agent, automate a recurring analysis, or put a repeated report on a schedule.

amplitude/builder-skills

Builds comprehensive Amplitude dashboards from requirements or goals, organizing charts into logical sections with appropriate layouts. Use when creating a complete dashboard from scratch or assembling existing charts into a cohesive view.

amplitude/builder-skills

Monitors all active and recently completed experiments across Amplitude projects, triages them by importance, then runs deep analysis and reporting on the most impactful ones. Use when the user asks to "check on experiments", "experiment status", "experiment review", "what experiments are running", or wants a periodic experiment health report.

amplitude/builder-skills

Pull Intercom tickets and Slack support messages from the past 7 days, classify each signal, enrich with CRM data (ARR, plan, renewal), score by customer value and churn risk, and output a tiered priority report saved to Drive. Use when you need a fast, data-driven view of what support signals matter most.

amplitude/builder-skills

Use this skill whenever a user wants to improve existing pages on their website to get cited more by AI models — whether they say "our pages aren't getting cited", "improve this page for AI visibility", "which of our pages should we update", "make this article more cite-worthy", "our competitors are getting cited instead of us", "update our content for AI search", or any variation where the goal is improving an existing asset rather than creating something new. This skill pulls owned pages from AI Visibility, identifies which ones have citation potential but are underperforming, compares them against the external pages that are winning citations on the same topics, and produces section-level rewrites or a full-page update — then pushes the revision to the CMS as a draft. Trigger even if the user just says "help me get cited more" or "why is [competitor] getting cited instead of us".

amplitude/builder-skills

Use this skill whenever a user wants to win AI citations on prompts that competitors currently dominate — whether they say "competitors are getting cited instead of us", "we're losing on these prompts", "how do I outrank [competitor] in AI answers", "find prompts where we should be winning", "create content to beat [competitor]", or any variation where the goal is capturing AI share on prompts a competitor currently owns. This skill pulls competitor visibility data from AI Visibility, identifies the specific prompts where competitors win and Amplitude is absent, clusters them by intent, and produces targeted comparison pages, alternatives content, or rebuttal assets — then pushes drafts to CMS. Trigger on any mention of competitor, prompt hijack, outrank, or "why is [competitor] getting cited instead of us".

amplitude/builder-skills

Use this skill whenever a user wants to turn AI Visibility data into published content — whether they say "find content gaps", "what should we write about", "which topics have low visibility", "help me get cited by AI models", "create a blog post from our AI Visibility gaps", "we're losing to competitors on these prompts", or any variation where they want to go from AI visibility weakness to a draft article, landing page, or FAQ. This skill connects directly to Amplitude AI Visibility data (topics, prompts, visibility scores, citations, competitor data, full LLM responses and sources) and produces a publish-ready content brief plus full article draft. If the user mentions CMS (WordPress, Webflow, Contentful, Sanity, HubSpot, Ghost, Shopify), also trigger this skill to push the draft directly. Trigger even if they just say something vague like "what content should we create?" in an AI Visibility context.

amplitude/builder-skills

Use this skill whenever a user wants to test content variants before publishing to find which one will get cited most by AI models — whether they say "which version of this content will perform better", "test this article before we publish", "simulate how AI will respond to this content", "which angle should we use", "generate content variants and pick the winner", "run a simulation before publishing", or any variation where the goal is data-driven content selection rather than gut-feel publishing. This skill takes an identified content opportunity, generates 2–3 distinct variants with different angles or structures, scores them against actual AI model responses from AI Visibility, references the Simulate Changes feature for pre-publish validation, and produces a clear recommendation on which variant to publish — then pushes the winner to CMS. Trigger on any mention of "simulate", "test variants", "which performs better", "A/B content", or "before we publish".

amplitude/builder-skills

Use this skill whenever a user wants to understand which external sources are being cited by AI models on topics relevant to their brand, and wants to create content that will outrank those sources — whether they say "what sources are AI models citing", "why is [third-party site] being cited instead of us", "we want to be the definitive source on X", "build something that gets cited more than G2 or TechRadar", "create an authoritative asset", or any variation where the goal is producing a new reference asset (definition page, benchmark, methodology, glossary, comparison hub) designed to beat existing top-cited sources. This skill analyzes AI Visibility source data, reverse-engineers what makes top-cited pages authoritative, and produces a superior source asset — then pushes it to CMS as a draft. Trigger on any mention of "sources", "third-party citations", "authoritative content", "definitional pages", or "outrank".

amplitude/builder-skills

Instrument a Node/TypeScript MCP server with Amplitude's @amplitude/mcp-analytics SDK so tool calls, sessions, and rationale are tracked as Amplitude events. Use this skill whenever the user wants to add Amplitude analytics to their MCP server, mentions "MCP Analytics", "@amplitude/mcp-analytics", "instrument my MCP server", "track MCP tool calls", "add rationale to my MCP tools", or wants agent traffic (Claude, Cursor, ChatGPT) attributed back to Amplitude. Also use for adding UTM tagging to MCP-returned links, or for troubleshooting identity/user_id mismatches between MCP events and web/mobile Amplitude data.

amplitude/builder-skills

Instruments a pull request with Amplitude analytics that conform to the project's existing taxonomy. Reads the tracking plan via the Amplitude MCP server (events, properties, naming conventions), analyzes the PR diff to find the few user actions genuinely worth tracking, detects the codebase's SDK and tracking patterns, and adds instrumentation that matches both. Optionally (opt-in) stages new events and properties on an Amplitude tracking-plan branch for data-governance review. Use when asked to "instrument this PR", "add analytics to this change", "add tracking", "add Amplitude events", "instrument this feature", or "what should I track here".

amplitude/builder-skills

Diagnoses product health by cross-referencing Amplitude analytics (dashboards, charts, funnels, feedback, AI agent analytics), optionally Datadog (errors, latency, stack traces), and optionally Slack (qualitative feedback, bug reports, feature requests). Identifies what's broken, what's working, and what to do about it — with root causes, not just symptoms. Use when asked to "diagnose my product", "what's going on", "product health check", "what's broken", "where are users struggling", "give me a product diagnosis", or "what should I focus on".

amplitude/builder-skills

Summarizes B2B account health by analyzing usage patterns, engagement trends, risk signals, and expansion opportunities. Use for customer success reviews, renewal preparation, QBRs, or account prioritization.

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