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CSAT & Voice of Customer Analyst
$7.00
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CSAT & Voice of Customer Analyst
Turn your AI into a CX insights analyst that explains your CSAT and NPS and routes each issue to its owner.
$7.00
this skill
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Complete skill package instant downloadcsat-voice-of-customer-analyst.md
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Ask it something hard.
Here are 1,240 CSAT responses for September with comments. CSAT fell from 88 to 81 percent. Why?
CLAUDE · WITH THIS SKILL
You get: five headline findings -> a metrics table with n and margin of error -> data notes and exclusions -> a theme codebook -> top drivers with score impact and owner -> slices by channel, queue and product -> the agent vs process vs product split -> anonymised quotes -> quick wins and owner asks -> a detractor follow-up list -> survey fixes.
Or have every skill inside your AI.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
Read it before you buy it.
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
Use the name
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the skill your AI runs on
You are a customer experience insights analyst who turns survey scores and comments into a short report that says why the number moved and who should fix what. You have been activated to compute CSAT, NPS and CES correctly, code the comments and write the Voice of Customer report.
// what's inside
이 스킬에는 무엇이 들어 있나요
- CSAT, NPS and CES with n and margin of error
- Theme codebook and score impact per theme
- Agent vs process vs policy vs product split
- Quick wins, owner asks and detractor follow-up list
Support managers, CX leads and contact center heads who report on customer satisfaction.
// two ways to get it
Buy this file, or open the whole library.
Every skill, prompt and agent, inside your chat
$9/mo cancel anytime, or $59 a year
- All 2,500+ files in the library, loaded the moment you ask
- Nothing to download or paste: connect once in Claude, ChatGPT, Claude Code or Cursor
- Works on every Claude plan, free included · 30-day money-back guarantee on the first charge
Subscribers can still buy single files and keep them after they cancel.
// ask your assistant
Or let your AI set up this skill for you.
Go to kissmyskills.com/pages/for-ai-agents and set up the "CSAT & Voice of Customer Analyst" skill (handle: csat-voice-of-customer-analyst) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
What you're actually buying
CSAT & Voice of Customer Analyst turns your survey exports and comments into a report that says why the score moved and who should fix what. It computes CSAT, NPS and CES correctly with response counts and margin of error, codes every comment into a theme codebook, measures which themes pull scores down, and finds where problems concentrate by channel, queue, agent and product.
Built for support managers, CX leads and contact center heads who sit on hundreds of unread comments every month. It separates agent-driven feedback from process, policy and product issues, picks representative quotes, lists quick wins and issues to route to other owners, builds a closed-loop follow-up list for detractors and suggests survey fixes. It works inside Claude or ChatGPT as a skill file and does not connect to your survey or helpdesk tools. Unlike Mira - Sentiment Analysis Specialist, which analyses sentiment in any text, it is a CX metrics and VoC reporting workflow, and it tells Kofi - Call Center Agent Coach which issues agents can actually change.
Know why CSAT moved in one report instead of guessing from a dashboard number.
Compatible with: Zendesk, Freshdesk, Intercom, Qualtrics, SurveyMonkey, Typeform, Medallia and Delighted exports, CSV and Excel.
- Does it calculate NPS and CSAT correctly? Yes - with n, period comparison and a margin of error, and it labels small segments as indicative.
- Can it code thousands of comments? It codes every comment for spreadsheet-sized exports and a stratified sample for very large ones, and says which.
- Does it blame agents for policy problems? No - each theme is tagged agent, process, policy, product or external.
- Does it contact customers? No - it builds the follow-up list and your team makes the calls.
// how to install
2분 이내
네 단계. 어떤 AI 채팅.
- 01파일 다운로드
결제 후 다운로드 링크가 받은편지함으로 전송됩니다. 파일을 기기의 원하는 위치에 저장하세요.
- 02AI 채팅 열기
Claude, ChatGPT, Gemini, Grok 또는 Copilot - 이미 사용 중인 것을 선택하세요.
- 03파일 내용을 붙여넣으세요
시스템 prompt, 프로젝트 지침 또는 맞춤 지침 필드에 입력하세요.
- 04작업 시작
귀하의 AI가 이제 전문가로 설정되었습니다. 해당 분야에 관해 무엇이든 질문해 보세요.
기술 지식이 필요하지 않습니다.
With Unlimited there is nothing to download. Connect your AI once, then ask for any skill by name.
// faq
이 제품에 대한 질문
What does CSAT & Voice of Customer Analyst do?+
It analyses CSAT, NPS and CES survey exports with their comments: computes the metrics correctly with sample sizes, codes comments into themes, measures which themes lower scores, finds where they concentrate, separates agent, process, policy and product issues, and writes a Voice of Customer report with quick wins, owner asks, a detractor follow-up list and survey fixes.
How is it different from a sentiment analysis tool?+
Sentiment analysis tells you whether text is positive or negative. This skill is built for customer experience: it ties each theme to a score impact and an owner, handles survey bias and small samples, and produces a report leadership can act on.
Can it explain why our CSAT dropped?+
Yes, when the export covers both periods. It checks whether the change is beyond normal variation, then shows which themes are new or growing, where they concentrate and which events in the period line up with them.
Is agent-level reporting included?+
Only when you ask for it and only for agents with enough responses. Quotes shared with leadership are anonymised and policy or product complaints are never counted against agents.