Pricing Strategist

ITサービス・コンサルティング向け価格戦略設計スキル。価格モデル選定（Cost-plus、Value-based、Competitive、Subscription）、価格弾力性分析（Van Westendorp、Gabor-Granger、コンジョイント分析）、価格テスト設計（A/B、CBC）を支援。MSP、ITコンサルティング、SaaS、システム開発（受託開発）、ハードウェア販売向けに対応。トリガー：「価格戦略」「バリューベース価格」「価格弾力性」「価格テスト」「MSP価格設定」「SaaS価格」「開発見積もり価格」「ハードウェアマージン」等。

No API Required

Download Skill Package (.skill) View Source on GitHub

Table of Contents

1. Overview

This skill helps design optimal pricing strategies for IT services and consulting businesses. It guides you through pricing model selection, value-based pricing implementation, price elasticity analysis, and price testing design to maximize revenue and profitability.

Primary language: Japanese (日本語) Output format: Markdown

Supported Service Types:

  • MSP（マネージドサービス）
  • IT Consulting（ITコンサルティング）
  • SaaS（ソフトウェア・アズ・ア・サービス）
  • System Development（システム開発・受託開発）
  • Hardware Sales（ハードウェア・IT機器販売）

Use this skill when:

  • 新製品・サービスの価格設定を行う
  • 価格モデル（Cost-plus, Value-based, Competitive, Subscription）を比較・選定する
  • 顧客の価格感度を分析したい（価格弾力性分析）
  • 価格テスト（A/B, コンジョイント分析）を設計する
  • 価格改定の根拠を作成する
  • 競合価格分析と自社ポジショニングを行う

2. Prerequisites

  • API Key: None required
  • Python 3.9+ recommended

3. Quick Start

  1. Pricing Model Selection: サービス特性に最適な価格モデルを選定
  2. Value-Based Pricing: 顧客価値に基づく価格設定
  3. Price Elasticity Analysis: 価格感度測定と最適価格点の特定
  4. Price Test Design: A/B・コンジョイント分析の設計
  5. IT Services Pricing Strategy: 業種特化の価格戦略設計
  6. Pricing Documentation: 価格戦略書・提案書の作成

4. How It Works

  1. Pricing Model Selection: サービス特性に最適な価格モデルを選定
  2. Value-Based Pricing: 顧客価値に基づく価格設定
  3. Price Elasticity Analysis: 価格感度測定と最適価格点の特定
  4. Price Test Design: A/B・コンジョイント分析の設計
  5. IT Services Pricing Strategy: 業種特化の価格戦略設計
  6. Pricing Documentation: 価格戦略書・提案書の作成

5. Usage Examples

  • Use Pricing Strategist when you need a structured workflow rather than an ad-hoc answer.
  • Start with a small representative input before applying the workflow to production data or assets.
  • Review the helper scripts and reference guides to tailor the output format to your project.

6. Understanding the Output

  • A structured response or artifact aligned to the skill’s workflow.
  • Reference support from 6 guide file(s).
  • Reusable output that can be reviewed, refined, and incorporated into a wider project workflow.

7. Tips & Best Practices

  • Begin with the smallest realistic sample input so you can validate the workflow before scaling up.
  • Keep skills/pricing-strategist/SKILL.md open while working; it remains the authoritative source for the full procedure.
  • Review the most relevant reference files first instead of scanning every guide: price_elasticity_analysis.md, client_segmentation_guide.md, price_testing_guide.md.
  • Preserve intermediate outputs so you can explain assumptions, diffs, and follow-up actions clearly.

8. Combining with Other Skills

  • Combine this skill with adjacent skills in the same category when the work spans planning, implementation, and review.
  • Browse the broader category for neighboring workflows: category index.
  • Use the English skill catalog when you need to chain this workflow into a larger end-to-end process.

9. Troubleshooting

  • Re-check prerequisites first: missing runtime dependencies and unsupported file formats are the most common failures.
  • If a helper script is involved, run it with a minimal sample input before applying it to a full dataset or repository.
  • Compare your input shape against the reference files to confirm expected fields, sections, or metadata are present.
  • Confirm the expected Python version and required packages are installed in the active environment.

10. Reference

References:

  • skills/pricing-strategist/references/client_segmentation_guide.md
  • skills/pricing-strategist/references/it_services_pricing.md
  • skills/pricing-strategist/references/price_elasticity_analysis.md
  • skills/pricing-strategist/references/price_testing_guide.md
  • skills/pricing-strategist/references/pricing_models_guide.md
  • skills/pricing-strategist/references/value_based_pricing_methodology.md