Research Synthesis

作者 anthropicsae1513ea94dc無授權條款27K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

Synthesize user research into themes, insights, and recommendations. Use when you have interview transcripts, survey results, usability test notes, support tickets, or NPS responses that need to be distilled into patterns, user segments, and prioritized next steps.

精選僅含說明Research & Analysis
AI 產生的概覽

將使用者研究資料綜整為主題、洞察、使用者分群與優先順序建議。

功能
接收訪談逐字稿、問卷結果、可用性測試筆記、客服工單或 NPS/CSAT 回饋,並將其濃縮為結構化的綜整報告。輸出包含執行摘要、附出現頻率與支持引語的關鍵主題、洞察對應機會的表格、辨識出的使用者分群、依優先順序排列的建議、待研究問題,以及方法說明。文中也描述可選的連接器整合,用於擷取回饋、以分析資料驗證發現,以及發佈至研究資料庫。
適用情境
當你手上有原始使用者研究素材,需要濃縮為模式、使用者分群與優先後續步驟時使用。適合訪談、問卷或可用性測試之後的產品或使用者體驗研究綜整。
執行需求
僅為指示文件,不含指令碼。文中描述使用者回饋、產品分析與知識庫的可選連接器,但並非必要。

/research-synthesis

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Synthesize user research data into actionable insights. See the user-research skill for research methods, interview guides, and analysis frameworks.

Usage

/research-synthesis $ARGUMENTS

What I Accept

  • Interview transcripts or notes
  • Survey results (CSV, pasted data)
  • Usability test recordings or notes
  • Support tickets or feedback
  • NPS/CSAT responses
  • App store reviews

Output

markdown
## Research Synthesis: [Study Name]**Method:** [Interviews / Survey / Usability Test] | **Participants:** [X]**Date:** [Date range] | **Researcher:** [Name]
### Executive Summary[3-4 sentence overview of key findings]
### Key Themes
#### Theme 1: [Name]**Prevalence:** [X of Y participants]**Summary:** [What this theme is about]**Supporting Evidence:**- "[Quote]" — P[X]- "[Quote]" — P[X]**Implication:** [What this means for the product]
#### Theme 2: [Name][Same format]
### Insights → Opportunities
| Insight | Opportunity | Impact | Effort ||---------|-------------|--------|--------|| [What we learned] | [What we could do] | High/Med/Low | High/Med/Low |
### User Segments Identified| Segment | Characteristics | Needs | Size ||---------|----------------|-------|------|| [Name] | [Description] | [Key needs] | [Rough %] |
### Recommendations1. **[High priority]** — [Why, based on which findings]2. **[Medium priority]** — [Why]3. **[Lower priority]** — [Why]
### Questions for Further Research- [What we still don't know]
### Methodology Notes[How the research was conducted, any limitations or biases to note]

If Connectors Available

If ~~user feedback is connected:

  • Pull support tickets, feature requests, and NPS responses to supplement research data
  • Cross-reference themes with real user complaints and requests

If ~~product analytics is connected:

  • Validate qualitative findings with usage data and behavioral metrics
  • Quantify the impact of identified pain points

If ~~knowledge base is connected:

  • Search for prior research studies and findings to compare against
  • Publish the synthesis to your research repository

Tips

  1. Include raw quotes — Direct participant quotes make insights credible and memorable.
  2. Separate observations from interpretations — "5 of 8 users clicked the wrong button" is an observation. "The button placement is confusing" is an interpretation.
  3. Quantify where possible — "Most users" is vague. "7 of 10 users" is specific.

來源與署名

來源:anthropics/knowledge-work-plugins位於design/skills/research-synthesis提交ae1513e

授權條款: 無授權條款

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

檢舉或申請下架

更多來自 anthropics/knowledge-work-plugins 的技能

Ticket Deflector

anthropics

精選

Reads a forwarded customer email or ticket, pulls order and refund status from a payments connector (PayPal, Square, or Stripe) or Shopify, account history from the CRM, and open tickets from a support desk (Zoho Desk), drafts a tone-matched reply in the owner's writing voice, and can issue a refund through the payments connector with explicit owner approval. With Shopify connected it also runs a proactive order-triage mode that surfaces orders needing attention — unfulfilled past the promised window, payment problems, pending refunds, stuck shipments — and drafts the next action for each before the customer has to ask. Use when the user says "draft a response," "answer this customer," "where's my order," "I want a refund," "check my orders," or "anything about to blow up."

待分類27K今天更新

Tax Season Organizer

anthropics

精選

Prepares tax-season materials for the owner's accountant, not tax advice. US federal tax; a non-US business gets its closed-books packet instead. Two modes: (1) quarterly estimated tax from YTD net income in the ledger (MYOB, NetSuite, QuickBooks, Xero, or Zoho Books); (2) year-end 1099 prep, scanning the ledger, PayPal, and Stripe for contractors paid over USD 600 into a 1099-NEC list with missing W-9 flags. Any tax request routes first to /tax-prep, which confirms the books are closed and reconciled before running this skill. Use this skill directly only when the owner says the period's books are already closed: "books are closed, now do the 1099s," "run the quarterly estimate off the closed numbers," or "just the contractor W-9 list."

待分類27K今天更新

Tax Prep

anthropics

精選

根據已結帳的帳目準備稅務資料:季度預估繳稅明細,或年終 1099-NEC 清單與會計師資料包。

Business & Finance27K今天更新

Smb Onboard

anthropics

精選

引導小型企業主完成首次設定:連接工具、執行一次展現價值的配方、記錄業務背景並設定每週檢查節奏。

Productivity & Workflow27K今天更新

Smb Router

anthropics

精選

將小型企業主的需求轉接到合適的外掛技能或指令,並說明可用功能。

Productivity & Workflow27K今天更新

Month End Prep

anthropics

精選

Reconciles the accounting ledger (MYOB, NetSuite, QuickBooks, Xero, or Zoho Books) against PayPal, Shopify, Square, and Stripe settlements, flags transactions that need attention, suspicious duplicates, and missing receipts, then writes a plain-English P&L narrative and exports a close packet (xlsx + one-page PDF). This is the first link of the /close-month command; a request to close the month or the books routes there, and the command runs this skill before refreshing the forecast and distributing the packet. Use this skill directly only when the owner wants the reconciliation alone, with no forecast refresh and no distribution: "just reconcile, no packet," "what's missing from the books," "flag the duplicates and missing receipts," or "write the P&L narrative for this month."

待分類27K今天更新