voc-synthesis

Synthesize voice-of-customer data into a structured Buyer Brain with evidence chains.

25|15|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/Fearofsnakes/pmm-skillset --skill voc-synthesis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: voc-synthesis
Source: https://github.com/Fearofsnakes/pmm-skillset/tree/main/skills/tier-2/voc-synthesis
Command: npx skills add https://github.com/Fearofsnakes/pmm-skillset --skill voc-synthesis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

VOC synthesis turns scattered voice-of-customer data into a structured, auditable Buyer Brain with evidence chains that stakeholders can audit and downstream skills can activate. It converts messy, multi-source data into repeatable patterns and actionable insights that teams can actually act on.

Core Features & Use Cases

  • Ingest and code VOC data from transcripts, surveys, reviews, CRM notes, and existing syntheses.
  • Produce a Buyer Brain with 7 dimensions (Triggers, Pains, Jobs to be Done, Desires, Objections, Alternatives, Decision Criteria), plus an Echo Language Bank and Evidence Chain.
  • Activate insights by generating messaging implications, ICP considerations, and testing hypotheses for GTM.

Quick Start

Provide raw VOC data and run the 4-act synthesis to produce the Buyer Brain and Activation outputs.

Frequently Asked Questions about voc-synthesis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I synthesize voice-of-customer data from multiple sources into actionable insights?

VOC synthesis ingests scattered voice-of-customer data from transcripts, surveys, reviews, and CRM notes, then codes and patterns it into a structured Buyer Brain with evidence chains for messaging and GTM decisions.

What is a Buyer Brain and how does it organize customer research data?

A Buyer Brain structures synthesized VOC data into seven dimensions: Triggers, Pains, Jobs to be Done, Desires, Objections, Alternatives, and Decision Criteria, alongside an Echo Language Bank and auditable Evidence Chain.

Can I use existing VOC syntheses and CRM notes to extract buyer personas and say-do gaps?

Yes, VOC synthesis processes existing syntheses and CRM notes alongside transcripts and surveys to surface persona-segmentation patterns, say-do gaps, and tensions across buyer personas for activation.

What is the best way to turn raw call transcripts into messaging implications and testing hypotheses?

Provide raw VOC data and run the 4-act synthesis to produce a Buyer Brain, then activate those findings by generating messaging implications, ICP considerations, and testing hypotheses for GTM strategy.

Do I need a clear objective and diverse data sources before running a VOC synthesis?

Yes, VOC synthesis requires diverse data sources and a clear objective to effectively code, pattern, and activate findings, ensuring the resulting Buyer Brain is auditable and actionable for stakeholders.

Why does my customer research fail to produce repeatable patterns teams can act on?

Scattered, multi-source VOC data often lacks structured evidence chains, but VOC synthesis converts messy inputs into repeatable patterns and actionable insights that downstream skills can reliably activate.