voice-of-customer skillA
voice-of-customer is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: Voice of Customer program - multi-source signal collection, theming and prioritization, evidence-to-action routing, and product / CS / marketing feedback loop closure. Use when: voice of customer, VoC program, customer feedback, NPS / CSAT / CES, qualitative theming, feedback synthesis, product feedback loop, customer insight engine..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Voice of Customer (ECHO Framework) Design a Voice-of-Customer program that turns raw feedback into routed, prioritized, evidence-backed actions - not a quarterly NPS report nobody reads. ECHO replaces ad-hoc surveys with a multi-source signal pipeline that PMs, CS, and marketing all rely on. ## Core Principle **VoC fails when it conflates *collection* with *insight*.** A survey isn't a program. ECHO standardizes how signal is elicited, themed, prioritized, and *closed* - with the loop back to the customer being the most often skipped step. ## The ECHO Framework | Letter | Stage | The Question | |--------|-------|--------------| | **E** | Elicit | What sources are tapped, with what cadence, and how is bias controlled? | | **C** | Categorize | How is feedback themed, tagged, and made queryable? | | **H** | Highlight | What prioritization frame separates signal from noise? | | **O** | Operationalize | Who owns the action, what's the SLA, and how is the loop closed with the customer? | ## Elicitation Sources A robust program reads from **multiple channels** and triangulates: | Source | Quality | Volume | Bias Risk | |--------|---------|--------|-----------| …
Read the whole file at its exact version.
How to install
mdr add varunk130/ai-gtm-skill-library/voice-of-customer@git:20260522.2e90392mdr add varunk130/ai-gtm-skill-library/voice-of-customer@sha256:37a1d67e8d899f9cPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_3erx65qxf5sfgd4a)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260522.2e90392 latest | 2026-05-22 | 2e90392 | 6,026 B | A | view · diff |
| git:20260516.4225f52 | 2026-05-16 | 4225f52 | 6,058 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6026 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
varunk130/ai-gtm-skill-library · 6 stars · license MIT · pushed 2026-09-19 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_3erx65qxf5sfgd4a GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/voice-of-customer GET https://markdownregistry.com/api/v1/blob/37a1d67e8d899f9c1e3f967bafb1fd73ea0e371c9f1327bee09101a6090c1665
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