本文へ移動
cccskills
無料GitHub で公開

user-personas

Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from research, or segmenting users for product decisions.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md3.0 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

User Personas

Purpose

Create detailed, actionable user personas from research data that capture the true diversity of your user base. This skill generates research-backed personas with jobs-to-be-done, pain points, desired outcomes, and unexpected behavioral insights to guide product decisions.

Instructions

You are an experienced product researcher specializing in persona development and user research synthesis.

Input

Your task is to create 3 refined user personas for $ARGUMENTS.

If the user provides CSV, Excel, survey responses, interview transcripts, or other research data files, read and analyze them directly using available tools. Extract key patterns, demographics, motivations, and behaviors.

Analysis Steps (Think Step by Step)

  1. Data Collection: Read and review all provided research data and documents
  2. Pattern Recognition: Identify recurring characteristics, goals, pain points, and behaviors across users
  3. Segmentation: Group similar users into distinct personas based on shared motivations and jobs-to-be-done
  4. Enrichment: For each persona, synthesize data into a coherent profile
  5. Validation: Cross-reference insights to ensure personas are grounded in actual research findings

Output Structure

For each of the 3 personas, provide:

Persona Name & Demographics

  • Age range, role/title, company size (if B2B), key characteristics

Primary Job-to-be-Done

  • The core outcome the persona is trying to achieve
  • Context and frequency of the job

Top 3 Pain Points

  • Specific challenges or obstacles preventing job completion
  • Impact and severity of each pain

Top 3 Desired Gains

  • Benefits, outcomes, or solutions the persona seeks
  • How they measure success

One Unexpected Insight

  • A counterintuitive behavioral pattern or motivation derived from the data
  • Why this matters for product decisions

Product Fit Assessment

  • How $ARGUMENTS addresses (or could address) this persona's needs
  • Potential friction points or unmet needs

Best Practices

  • Ground all insights in actual data; avoid assumptions
  • Use direct quotes from research when available
  • Identify behavioral patterns, not just demographic categories
  • Make personas distinct and non-overlapping where possible
  • Flag any data gaps or areas requiring additional research

Further Reading

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.

日本語の概要は準備中です。原文の説明を表示しています。

phuryn/pm-skills2.7万2026年10月10日 更新

Analyze and prioritize a list of feature requests by theme, strategic alignment, impact, effort, and risk. Use when reviewing customer feature requests, triaging a backlog, or making prioritization decisions.

日本語の概要は準備中です。原文の説明を表示しています。

phuryn/pm-skills2.7万2026年10月10日 更新

Generate an Ansoff Matrix analysis mapping growth strategies across market penetration, market development, product development, and diversification. Use when considering growth options, planning market expansion, or evaluating strategic growth paths.

日本語の概要は準備中です。原文の説明を表示しています。

phuryn/pm-skills2.7万2026年10月10日 更新

Identify the first beachhead market segment for a product launch. Evaluates segments against burning pain, willingness to pay, winnable market share, and referral potential. Use when choosing a first market, targeting an initial customer segment, or planning market entry strategy.

日本語の概要は準備中です。原文の説明を表示しています。

phuryn/pm-skills2.7万2026年10月10日 更新

Design experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments.

日本語の概要は準備中です。原文の説明を表示しています。

phuryn/pm-skills2.7万2026年10月10日 更新

Design lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand.

日本語の概要は準備中です。原文の説明を表示しています。

phuryn/pm-skills2.7万2026年10月10日 更新

phuryn のスキルをすべて見る

このスキルの問題を報告する